Podcasts about aws

A judge blocked the Pentagon from blacklisting Anthropic, calling the retaliation illegal. OpenAI, Anthropic and 100+ companies warned the AI cyberattack window is closing, Apple TV got pricier again, Stripe walked from PayPal, and a16z raised $1.1B for hardware. Links A US judge blocks the Pentagon from blacklisting Anthropic, ruling that its designation as a supply-chain risk was "illegal and baseless" (Reuters) Judge Rita Lin finds the administration violated Anthropic's First Amendment rights, acting in "unlawful retaliation" for its criticism, and orders the blacklisting guidance rescinded (The Wall Street Journal) OpenAI, Anthropic, AWS, Microsoft, and 100+ companies warn there is "a limited window" to prepare for AI-enabled cyberattacks and call for "collective action" (Axios) The open letter asks AI labs to hand their best models to hospitals and infrastructure providers and governments to coordinate and fund cyberdefense; signatories include Google, CrowdStrike, Visa, and Mastercard (The New York Times) Apple TV raises prices in the US, with the monthly price up by $2 to $14.99, its fourth increase in four years; the individual Apple One tier rises $2 to $21.95 (Variety) Sources: Advent and Stripe are no longer pursuing a deal to acquire PayPal; the group offered to pay $60.50/share in July, valuing PayPal at $53B (Bloomberg) a16z creates a $1.1B Machine Age fund focusing on hardware to "open the throttle and accelerate the physical buildout of AI" (TechCrunch) Anthropic details Model Hardware Standard, a framework governing how AI agents interact with microscopes, liquid handlers, quantum hardware, and robot arms, going to trusted partners first (Wired) Longreads Home batteries are suddenly cheap and everywhere. Here's why. (TechCrunch) Subscribe to the ad-free feed.

This week, we discuss Stripe's singularity letter, its $8B Open Router buy, and AI job anxiety. Plus, Matt plays “Bot or Not” on another podcast. Watch the YouTube Live Recording of Episode 587 Runner-up Titles Inertia wins again We don't talk about the Pope very much. Better than this year's storage arrays AI pimps its own ride Chonking machine A lot of chonk opportunity I'm tired of tech people being all fancy Thanksgiving with Ed Zitron No religion, no politics, no AI My recommendation: try harder Teletubbies for Adults. Rundown Singularity, Models and Routers Scoop: Stripe says "the singularity" has begun Stripe strikes mega-deal for OpenRouter Hugging Face reportedly in talks to be acquired for $13B Routing is coming for the frontier AI labs Terminator Judgement Day: August 29, 1997 2:14 a.m. Eastern Time The AI backlash goes mainstream 52% of Americans Now More Concerned Than Excited About AI, With Under-30s Crossing a Majority for the First Time Why Is Everyone In Tech So Sad? The AI Hater's Manifesto 40 Years of Infrastructure as Code: Ansible → Terraform → Kubernetes → Crossplane → AI Agents Relevant to your Interests Cursor Origin review: An engineer's perspective Claude can now pull data from your browser tabs and keep working on your desktop OTel Isn't Going Well (And I Made A Spreadsheet About It) Walmart is finally launching Apple Pay support next week Broadcom debt deal expected to reach upwards of $70 billion, sources say Anthropic-Backed Ode Acquires Casper Studios to Expand Corporate AI Deployments OpenAI 'will be a public company in 2027' or sooner, CFO Friar tells employees Google Aims to Boost AI With Purchase of Spirit Airlines Data The website that created an AI clone of its editor in chief OpenAI Jalapeño: Better Than Nvidia Blackwell An Inside Look at the Relay Market Powering Token Resellers and Fraud Meta settles social media addiction case with California, other states for $16.7 billion Hundreds of leaked AWS keys give full control over corporate accounts Free Hardened Container Images | Minimus Cyber startup Minimus shuts down, returns cash to investors Nonsense Apple Releases New Polishing Cloth Jason Kelce promotes mailing pee to data centers, Liquid Death Paradox Inc. Movie From Daniel Roher, Lord Miller, Universal In Works Conferences WeAreDevelopers NA, Sept 23-25, 2026, Discount Code: DEVPOD50 25 Free Tickets DevOpsDays Graz, Sept 4-5, 2026 Cloud Foundry Summit, Sept. 21st to 22nd, Heidelberg, Coté speaking. DevOpsDays Rockies, Sept. 22 – 23, 2026, Discount Code: 26DODSWEDEFTALK DevOpsDays Dallas, Sept 28-29, 2026 DevOpsDays Vilnius, Sep 30 - Oct 1, 2006, Lithuania. DevOpsDays Prague, Oct 5, 2026 - Coté speaking. DevOpsDays Istanbul, Oct 24th, 2026, Coté keynoting. VMware User Group, Orlando, Oct 20-22, 2026 Cloud Native Denmark, Nov 19th, 2026, Copenhagen, Coté keynoting. Build Stuff, Dec 2-4, 2026, Vilnius, Lithuania. cfgmgmtcamp, February 1st to 3rd, 2027, Ghent. SCALE 24x Pasadena, CA, April 1-4, 2027 SDT News & Community Join our Slack community Email the show: questions@softwaredefinedtalk.com Free stickers: Email your address to stickers@softwaredefinedtalk.com Follow us on social media: Twitter, Threads, Mastodon, LinkedIn, BlueSky Watch us on: Twitch, YouTube, Instagram, TikTok Book offer: Use code SDT for $20 off "Digital WTF" by Coté Sponsor the show Sponsor more podcasts with Failover Media Recommendations Brandon: Tuner ** Your AI Project Doesn't Need More Agents Matt: Tech, Texas & What It Takes to Run a Podcast with Matt Ray | Cyber Chat Ep. 5 Line of Duty Anti-pick: Roku's New Slop Channel Coté: Mini MLC, 30L.

What does Amazon Web Services (one of the worlds largest companies) have to do with agriculture? A lot more than most farmers probably realize. Dr. Karen Hildebrand joins Farm4Profit at Tech Hub LIVE to explain how AWS supports agricultural technology companies around the world and why she believes successful innovation has to start by working backward from the problems farmers actually need solved. Karen brings a unique perspective as both a technologist and a fourth-generation Manitoba farmer. The conversation explores the explosion of AI tools, how farmers can avoid technology overload, and why there probably isn't a single AI "golden nugget" that's suddenly going to make a farm profitable. Instead, Karen encourages farmers to use technology to eliminate the parts of the job they hate while protecting the relationships and experiences they value most.  The crew also tackles data, trust, connectivity, ag startups, data centers, and what AI could mean for the next generation. Karen explains why trust may be more valuable than data itself, why farmers should give technology companies honest feedback, and why AI could represent a technological shift as significant as the transition from horses to automobiles. Want Farm4Profit Merch? Custom order your favorite items today!https://farmfocused.com/farm-4profit/ Don't forget to like the podcast on all platforms and leave a review where ever you listen! Website: www.Farm4Profit.comShareable episode link: https://intro-to-farm4profit.simplecast.comEmail address: Farm4profitllc@gmail.comCall/Text: 515.207.9640Subscribe to YouTube: https://www.youtube.com/channel/UCSR8c1BrCjNDDI_Acku5XqwFollow us on TikTok: https://www.tiktok.com/@farm4profitllc Connect with us on Facebook: https://www.facebook.com/Farm4ProfitLLC/Farm4Profit Media is not a financial, legal, or tax advisor. Content is provided for informational purposes only, and we serve solely as a platform for third-party opinions. Any actions taken based on this content are at your own risk. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Amazon and Nvidia Expand Partnership with 2 Million GPU Commitment to AWS, Operation Bluebird Launches ‘Twitter.now’ Amid Trademark Dispute, and OpenAI Extends ChatGPT Ad Program to India. MP3 Please SUBSCRIBE HERE for free or get DTNS shows ad-free. A special thanks to all our supporters–without you, none of this would be possible. If you enjoyContinue reading "Nvidia in Talks to Acquire Hugging Face for $13 Billion – DTH"

On this episode of Screaming in the Cloud, Corey Quinn sits down with Adam Larsen, Principal Developer at Aurora Educational Technologies, to explore what technology and AI should actually look like in K-12 education. They discuss using tech to empower teachers rather than replace them, the risks of outsourcing critical thinking to AI, student data privacy, and what happens when schools become dependent on tools that may not be affordable forever. Adam also shares how AWS became his go-to platform for solving complex education data problems, and why sometimes the best technology is simply the one that reliably gets the job done.Show Highlights: 00:00 Critical Thinking Warning00:15 Meet the Guest01:07 From Psych to Edtech02:07 Teachers and Tool Whiplash07:29 AI as a Teaching Aid10:07 Process Over Shortcuts14:29 Tech Misconceptions in Schools16:38 Privacy and Picking Vendors21:50 AI Costs and Ecosystem Bets26:33 Building on AWS and Wrap UpSponsored by: duckbillhq.com

In the latest episode of Executive Function, Brett sits down with Jay Parikh, Executive Vice President of CoreAI at Microsoft. Before joining Microsoft, Jay spent over a decade as Facebook's global head of engineering, scaling the company from a few hundred engineers to billions of users, then ran the cybersecurity company Lacework as CEO through its acquisition by Fortinet. In this conversation, he breaks down the five ingredients of great engineering leadership, discusses why he'd rather run two competing bets in parallel than forecast a winner, and explains why company culture remains more important than ever for teams to get right. In today's episode, we discuss: The five ingredients that separate excellent engineering leadership from the rest How to protect your team from large shifts in public perception The mindset shift organizations need to maintain speed at scale How every layer of the organization needs to stay connected to the customer Why Jay runs "brain trusts" of senior ICs with zero managers in the room References Akamai: https://www.akamai.com/ AWS: https://aws.amazon.com/ Facebook: https://www.facebook.com/ George Conrades: https://www.linkedin.com/in/georgeconrades/ Mark Zuckerberg: https://x.com/finkd Microsoft: https://www.microsoft.com/ Paul Sagan: https://www.linkedin.com/in/paul-sagan-59654a1/ Tom Leighton: https://www.linkedin.com/in/tleighton/ Where to find Jay LinkedIn: https://www.linkedin.com/in/jayparikh/ Twitter/X: https://x.com/jayparikh Where to find Brett LinkedIn: https://www.linkedin.com/in/brett-berson-9986094/ Twitter/X: https://twitter.com/brettberson Where to find First Round Capital Website: https://firstround.com/ First Round Review: https://review.firstround.com/ Twitter/X: https://twitter.com/firstround YouTube: https://www.youtube.com/@FirstRoundCapital This podcast on all platforms: https://review.firstround.com/podcast Timestamps 00:00 Introduction 00:36 How leadership changes through exponential growth 02:21 The five ingredients that define excellent engineering leadership 07:51 What actually drives culture at a company as it scales 12:05 The physics behind why everything slows down at scale 18:57 The fastest team of Jay's career, and why size mattered 22:44 Why every team should think like an FDE 26:20 Managing a team through wild swings in public perception 29:07 What's different about leading through the steepest S-curve moments 33:58 Why onboarding well means going slow to go fast 37:41 Is AI actually new, or is history just repeating? 41:35 What actually counts as a "big bet" worth taking 45:01 The concrete big bets that reshaped Facebook's entire technology stack 47:35 Why vertical integration keeps being the right call as companies scale 51:46 How being a startup CEO reshaped Jay as a leader 1:01:26 Why Jay overruled Zuckerberg's instinct to skip efficiency

Traditional peer review processes are breaking down in the new AI era. Dylan Ratcliffe, founder and CEO of Overmind Technology, joins Ned and Kyler to discuss the importance of treating AI as a machine to be audited rather than a peer. Together they share practical advice on how to adapt peer review processes and culture... Read more »

Traditional peer review processes are breaking down in the new AI era. Dylan Ratcliffe, founder and CEO of Overmind Technology, joins Ned and Kyler to discuss the importance of treating AI as a machine to be audited rather than a peer. Together they share practical advice on how to adapt peer review processes and culture... Read more »

Demandbase's Vice President of Product explains why they deleted a fully-approved AI architecture two months before launch — and how the rebuild surpassed some of their customer's highest expectations.Topics Include:AWS's Achint Naveen introduces Demandbase's VP of Product, Chad HoldorfDemandbase unifies sales, marketing, and revenue data into one viewNovember's architecture used many specialized agents, all committee-approvedThat design failed constantly — only a 30% conversation pass rateOn May 11th, the team deleted the entire architectureRebuilt in May with AWS Strands: one simpler, flexible agentPass rate leapt from 30% to 94% almost overnightWeek two retention rose from the low 20s to upper 80sWeekly active users grew 45% week-over-week after launchReal customer interviews play, calling the new AI a "dream"One user cut an hour-long report down to fifteen minutesCustomers now trace ad impressions directly to closed dealsHoldorf's advice: delete and rebuild when architecture gets too complexAWS's Naveen walks through Bedrock, AgentCore, and StrandsAgentCore Memory highlighted as Demandbase's next area of explorationParticipants:Chad Holdorf – Vice President of Product Management, DemandbaseAchint Naveen – Sr Account Manager, Amazon Web Services See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Bloomberg reported that AI cloud provider Lambda is in talks to raise a $3 billion pre-IPO round. The financing would precede a potential public listing and reflects the capital intensity of building GPU cloud infrastructure. Lambda provides NVIDIA GPU access in the cloud and sells on-premises systems, serving both on-demand and reserved capacity needs. Pre-IPO capital in this sector is often used to secure chips, expand colocation capacity, and improve networking. Competitors include CoreWeave and large clouds such as AWS, Microsoft Azure, Google Cloud, and Oracle Cloud. Founders are evaluating multi-year reservations, vendor diversification, and transparent pricing as they plan AI compute budgets.Learn more on this news by visiting us at: https://greyjournal.net/news/ Hosted on Acast. See acast.com/privacy for more information.

AWS Morning Brief for the week of August 24th, with Corey Quinn. Links:AWS CloudShell now includes a built-in visual file editorAWS Cost Anomaly Detection supports third-party models on Amazon BedrockAWS announces a new Availability Zone in the Europe (London) RegionAWS Billing and Cost Management Introduces Managed Dashboards for Instant Cloud Financial VisibilityIn the works: AWS Builder Lofts in Berlin, Hyderabad, and São PauloAmazon Linux default SSM parameter will now track the latest kernelIntroducing public preview runtimes on AWS Lambda, starting with Node.js 26 and Python 3.15AWS and Amazon WorkSpaces recognized as a Leader in the 2026 Gartner Magic Quadrant for Desktop as a Service Amazon Bedrock AgentCore payments is now generally available: Enabling agents to transact safely and autonomously at scaleAWS Network Firewall now supports rule hit countUpdates to your AWS Sign-In experienceFour AWS Security Bulletins in One August Week

Analysts Don Kellogg and Roger Entner are joined by Arpan Sura, Senior Counsel to FCC Chairman Brendan Carr, to discuss the current state of spectrum policy, the changing technological landscape, and the agency's plans for the future of communications in America. 00:00 Episode intro 00:24 Current spectrum auction policy 02:40 Specific auction timelines 04:59 Growing political support for spectrum 06:57 Upcoming auctions 07:20 Intermodal competition through direct-to-device 08:44 Starlink's reliability and convergence possibility 10:10 Rethinking technical limitations 11:48 Unlicensed spectrum use 12:56 Companies becoming increasingly multi-modal 13:46 Two-year outlook and agency goals 16:27 Episode wrap-upTags: telecom, telecommunications, wireless, prepaid, postpaid, cellular phone, Don Kellogg, Roger Entner, Arpan Sura, FCC, spectrum, Brendan Carr, AWS-3, auctions, 6G, upper C-band, NTIA, BBB, satellite, FWA, direct-to-device, Starlink, rural, convergence, BEAD, fiber, cable, EchoStar, Grain

Don’t miss the marketplace revolution! Subscribe to our Newsletter: https://theultimatepartner.com/ebook-subscribe/ Check Out UPX: https://theultimatepartner.com/experience/ In this episode of the Ultimate Partner Podcast, Vince Menzione sits down with AWS Marketplace leaders George Maroulakos and Arif Razvi to uncover the rapidly shifting ecosystem of technology procurement and partner transformation. They dive deep into the evolution of buyer experiences, the critical necessity of executive alignment, and how agentic AI is redefining software discovery and consumption. If you want to accelerate deal velocity and ensure your business isn’t left behind, this conversation outlines exactly why integrating the AWS Marketplace into your core co-sell motion is no longer optional. https://youtu.be/Avp0sIyxRU8 Key Takeaways Embracing the AWS Marketplace should be viewed as a natural extension of your co-sell motion, not an interrupt-driven exception. Successfully leveraging the marketplace requires top-down executive sponsorship to overcome internal friction across legal, finance, and revenue operations. Partners must prepare for global expansion by ensuring local entities and currencies are wired up to meet buyers where they are. Agentic AI and natural language queries are leveling the playing field for software discovery, moving beyond traditional SEO-driven presence. SaaS pricing models are shifting toward consumption and outcome-based structures, demanding highly detailed product metadata. The speed of deal closure is drastically increased when partners are prepared to transact seamlessly through the marketplace. If you're ready to lead through change, elevate your business, and achieve extraordinary outcomes through the power of partnership—this is your community. At Ultimate Partner® we want leaders like you to join us in the Ultimate Partner Experience – where transformation begins. Key Tags AWS Marketplace, partner transformation, buyer experiences, hyperscalers, co-sell motion, revenue operations, strategic alignment, agentic AI solutions, outcome-based pricing, metadata optimization, software discovery, private offers, global expansion, deal velocity, cloud centers of excellence. Transcript Arif Razvi and George Maroulakos Audio Episode [00:00:00] George Maroulakos: From my perspective, think about marketplace as a why not as opposed to a why. [00:00:06] Vince Menzione: You can feel it happening. The ecosystem is shifting beneath us, the way Hyperscalers are partnering, how AI is remaking the channel and what it means to win in 2026. [00:00:17] Arif Razvi: Welcome to the Ultimate Partner Podcast. I’m Vince Menzi, own your host. [00:00:22] Arif Razvi: And each week I sit down with leaders at the intersection of technology, [00:00:26] Vince Menzione: partnerships and outcomes. The voices shaping how ecosystems actually work. We talk about what’s real, what’s changing, and what it takes to lead in this era where the partner channel isn’t just part of the strategy. [00:00:39] Arif Razvi: It is the strategy because being in the room changes everything. [00:00:44] Arif Razvi: Let’s start. [00:00:48] Vince Menzione: I’m excited to, because we were talking about some of this earlier with Matt, but I thought this would be a great conversation. I’m gonna ask each of you to introduce yourselves, George and Arif, and your roles. ’cause you have two very unique roles. Uh. Contrasting roles, I would call it, within the AWS Marketplace Organization. [00:01:06] George Maroulakos: Yep. Happy to do so. So I think Vince just didn’t wanna say my last name, so that’s why I’m gonna introduce myself. Mayor. Very, very good. So Mayor Laki, George Meki, pleasure to meet. Hey, I can say that, uh, all of those that I haven’t met before, lots of familiar faces as well here. Uh, so it’s really great to see. [00:01:21] George Maroulakos: Uh, I’m part of the AWS Marketplace team and our center of excellence. That focuses on buyer experiences. So like why is a buyer guy here in this partner session? And I think, you know, I’m gonna help to try to bring some perspective around what our buyers see as the value for using marketplace and. [00:01:40] George Maroulakos: Working with all of these great partners that are here in the room and, uh, you know, the experiences that we see in helping to drive, you know, the blood to all organs. I’m using that a lot, Alison, to copyright it. It’s, it was really good. I love that, that analogy. But, um, for, but for both our partners as well as for our customers. [00:01:59] Vince Menzione: That’s awesome. [00:01:59] Arif Razvi: Hey everybody. I’m Arif Roski. I’m based here in New York City, although I’m a Celtics fan. Um, uh, go, go. I, I still supported the Knicks through the championship and I’m very happy for them. So excited to be here. Excited to be among, uh, other channel and alliance leaders. I’ve spent my entire 25 plus career in channels and alliances. [00:02:20] Arif Razvi: The last seven years, uh, on AWS marketplace where I lead, uh, a couple of functions. One is I support all of Matt Ian’s feature launches. So from a go-to market perspective, uh, I support his launches. I also focus on international expansion of marketplace. So, uh, Matt alluded to this earlier. I’ll mention some, I’ll talk about some stuff in a little bit. [00:02:39] Arif Razvi: And then, uh, we do some deep engagements with some of our most strategic partners to help them accelerate and unblock their marketplace business. By embedding a subject matter expert from my team into their organization to really help drive, uh, adoption of marketplace. [00:02:55] Vince Menzione: So important. Both of your roles. [00:02:56] Vince Menzione: By the way, this is standout roles. I, you know, I. I don’t want to get into trouble here. I talk about other hyperscalers, but I said this with Matt on stage earlier. You guys have been at the forefront of driving marketplace in such a strong way, having somebody who’s customer focused, right? And that lens is so important. [00:03:15] Vince Menzione: I don’t feel, I feel like that’s missed so many times. And then you also have. You know, quite a bit of an important role here in terms of what you’re doing in embedding resources. ’cause a lot of times people get lost in the process and it seems to be the, the common currents. So, um, really great both sides of the same equation here, right? [00:03:33] Vince Menzione: Buyer led, partner built, uh, let’s start George here. Um. Let’s talk about how buying has changed. Right. We go back to the early days of marketplace. It felt like it was a listing at first and it started to become important. Organizations like Work Span started to come to fruition and started to drive, at least in my part of the world. [00:03:53] Vince Menzione: And then we started talking a lot more about Marketplace. And of course the, the cus customer commits really started driving things in a different direction. You’ve got the customer, so talk about what your journey’s been like. [00:04:05] George Maroulakos: So I’ve been with Marketplace nine and a half years, which is pretty long time since the beginning of it, and watching the evolution of, of where things have come and where they started. [00:04:15] George Maroulakos: And I remember, uh, I was covering the, the northeast region when I very first started and working with, uh, you know, different enterprise accounts and financial services and, and, and healthcare and life sciences, and talking about this. This creation that occurred called, called AWS Marketplace, and even folks within AWS didn’t really know what that meant or how to talk about it or sell it. [00:04:38] George Maroulakos: So there was this creation of a infield based business development function to help supplement the account teams and the value and the importance of marketplace as a part of a customer’s AWS journey. And when I first started the, the, the highest, uh, or most frequently subscribed to products that existed were. [00:04:57] George Maroulakos: Uh, Amazon machine images a amis and it’s very specifically open source amis. So think of Bantu or Cintas as the predominant things that were being subscribed out of marketplace. So, um, by definition, not really revenue generating. You’re, these are not the a hundred million dollar transactions or the billion dollar club that we talk about today. [00:05:19] George Maroulakos: It was very much helping. The builders go again, go back 10 years, uh, who are just getting started with the cloud and how could they find partner solutions that they trusted or that they felt were secure and helping them to start to build out and migrate their workloads into, into AWS. Um, so I existed before the. [00:05:39] George Maroulakos: Very first private offer was transacted. Nice. Um, there’s actually a, a gentleman towards the back, uh, who helped with one of our very first private offers. I see you back there, Joe. Nice, nice. Um, so we, we worked on, uh, uh, uh, really big transaction with, uh, with, at the time AppDynamics, uh, and, and helping to get. [00:05:58] George Maroulakos: You know, a customer really up and running with their implementation that, so watching over the 10 years from, you know, the builder mentality of, of getting started with the cloud to really embracing all kinds of partner based, um, solutions that go along with AWS. It’s really been, uh, you know, a, a rocket ship you referenced earlier, moving to the top right quadrant, if we want to use the, the Gartner analogy, and I think we’re at another. [00:06:24] George Maroulakos: Inflection point because with what’s going on with Ag agentic solutions, the way that our customers are finding and discovering different partner solutions is better than ever I would think. And I think it gives much more of a equal opportunity in playing field for all partners of all shapes and sizes because you’re not driving your presence based on SEO or whether or not you have the best Google search results. [00:06:53] George Maroulakos: With AgTech and how you differentiate your solutions, you’re gonna be able to really get yourself in front of more customers more quickly. And as Matt talked about earlier, the, the, the really big penetration that we’ve seen thus far is real, is on the discovery piece, the, the research area, the pre-purchase activity, so validate what’s available. [00:07:13] George Maroulakos: So I think marketplace has really evolved over the 10 year, nine and a half years-ish that I’ve been there. And I think it’s gonna continue to change here in the coming months ahead. Yeah. [00:07:23] Vince Menzione: Any predictions? [00:07:25] George Maroulakos: Yeah, I, I think, you know, the, I, the, the importance of marketplaces is only going to continue to grow. [00:07:32] George Maroulakos: Uh, and I think we’re going to see, you know, even more innovation and expectation from our customers on being able to find the right solutions and being able to procure and deploy them as quickly as possible. [00:07:44] Vince Menzione: Nice. Arif, from your side. Partner transformation. So, you know, embedding resources with the partners. [00:07:51] Vince Menzione: Right. So you basically help kickstart a lot of the, the efforts, right? George? George is looking at it from the customer side, and then you’re kick-starting it on the partner side. [00:08:00] Arif Razvi: Yeah. Either kickstarting it, uh, on the initial stages with a strategic partner. Yeah. Or accelerating their adoption of something that’s already there. [00:08:07] Arif Razvi: Right. So what we’re seeing, what I’m seeing a lot of more recently is partners who say, I didn’t know you had capabilities for us to sell into Korea or Japan, or we just, we just launched India. Yep. Matt alluded to this easier, uh, earlier that we’re making it easier for partners to expand globally. And now partners are realizing, wait a minute, I can match my. [00:08:26] Arif Razvi: Uh, my business processes on marketplace, so revenue recognition, tax collection, locally, local invoices, and now they’re starting to set up multiple entities outside the US to meet those buyers, uh, where they are. [00:08:41] Vince Menzione: Nice. And you mentioned having these resources. How do you determine who gets resources and who? [00:08:47] Arif Razvi: Well, there’s, uh, staging and there’s, uh, there’s qualification mechanisms we use. We work with the PDMs for the partners. So any PDM, uh, any pd DM managed partner can be nominated for, uh, what, what we call a compensation. [00:08:59] Vince Menzione: So you’re overlaying that organization sense. [00:09:00] Arif Razvi: We’re overlaying the PDs. We’re not replacing, we’re only doing time bound sprints to unlock very specific activities. [00:09:05] Arif Razvi: Very [00:09:06] Vince Menzione: cool. So it’s not a poll. Yeah. Cool. You’re not, you’re not there forever. [00:09:08] Arif Razvi: No. [00:09:08] Vince Menzione: You’re there to get the job done. We [00:09:09] Arif Razvi: did that before. Uh, yeah, we’re, we’re doing short sprints now. [00:09:12] Vince Menzione: Yep. Let’s talk about how the buyers are using marketplace. You’ve done some really in, we talked about this earlier with Matt, but we’ve talked about some of the innovative things you’ve done. [00:09:21] Vince Menzione: You know, being, being able to embed into a website and in the storefronts. All these things seem to be unique to AWS. Talk to us about how the buyers are using the marketplace today. And [00:09:31] George Maroulakos: yeah, I think, you know, Matt talked about earlier the. Pre the, the preconception around why customers use marketplaces for the financial incentives, the, the financial benefits that go along with it, whether it’s direct incentives that are associated with the individual product that’s out there, or the Association of Marketplace to our private pricing agreements and the ability for. [00:09:55] George Maroulakos: Transactions that occur in marketplace to count towards those commits. Um, I’m gonna amplify a, a particular point that Matt made, uh, in his talk that, you know, we have many more customers who do not have PPAs with AWS than those that do. And the volume of transactions that take place in marketplace. [00:10:11] George Maroulakos: Dwarf, uh, in volume from those that, uh, are occur from our PPA customers. So yes, there are very large transactions that occur and there is Ben financial benefit that goes along with it. But there’s many other value points that our customers find from discovery. From ease of use, from consolidated billing, from post-purchase, um, you know, management and governance that goes along with it, and reconciliation that’s available, that’s, that exists. [00:10:36] George Maroulakos: Um, you mentioned storefronts. I’m really excited. That was one of the most exciting launches. That’s why I reminded him when he was talking about it, uh, around, you know, what that means. And it’s both a presence for, um, our partners and being able to create their own storefronts on behalf of, of customers or within their own property, but also for our buyers directly too. [00:10:54] George Maroulakos: Take that next generation of something that was previously, you know, our private marketplace and curate a catalog that is very specific and intentional for the things that they’re interested to innovate with and the partners that they’re interested in using. And so I think meeting our customers where they’re at. [00:11:10] George Maroulakos: And being, you know, marketplace anywhere and everywhere is I think really important for our customers. And then the other aspect, you know, in terms of how our customers use marketplace, there’s more than one persona at our customer that we need to be, be, be aligning with. Right. Interesting. We typically talk about procurement and the value points that procurement find in marketplace, but just as important as, as the technologists. [00:11:32] George Maroulakos: It’s the Cloud centers of Excellence. It’s the innovators who are looking for those business applications or those infrastructure solutions that exist and making sure that we have the right things from the right partners available to them. So we see value all over the place with our customers and how they inter interface with [00:11:47] Vince Menzione: more. [00:11:47] Vince Menzione: You brought up something really interesting, insightful, is the fact that all the different personas in the organization that are touching the marketplace, right? [00:11:54] George Maroulakos: And it’s at different points of the journey, right? Yeah. So while there may be early discovery and research and experimentation going on from, you know, the technologists or, or, or the, or the, the, the business application owners, um, as it progresses through the, the, the. [00:12:09] George Maroulakos: The opportunity lifecycle procurement and sourcing and legal, and the shared services then become a more important part of, of making sure that we get those opportunities closed and launched. [00:12:18] Vince Menzione: Yeah, and that was one of the things we were talking about earlier is the fact that how, how, uh, it, it, the work arduous it could be. [00:12:25] Vince Menzione: To go through that whole process at a customer side. Right? ’cause they have to. [00:12:29] George Maroulakos: It is, and and you know, I think when Cloud first got started, it was quite scary for procurement, right? It became another version of Shadow it. And we were seeing things that were getting purchased on P cards because they could quickly stand up infrastructure versus waiting for the IT team to do it. [00:12:44] George Maroulakos: And so now you introduce all of these other things that. Procurement kept near and dear to their heart, and here comes another wave of, is this truly positive disruption? Is it going to affect what’s, what I’m doing affect really my goals and objectives of supporting the company. And as you, you know, you continue to express the value of marketplace, they start to see, hey, this is actually very complimentary and helped me can get better control and governance in a way that I. [00:13:11] George Maroulakos: Perhaps didn’t have before with what was going on inside the cloud. [00:13:15] Vince Menzione: So this is a question for both of you actually, but I was thinking about these partners in the room and what did they get wrong? Like what are they doing? Like what are the things we always talk about, things that they’re doing right? [00:13:26] Vince Menzione: We’re having the happy talk about all the great success that’s been going on, but what is your advice to partners that maybe are not getting it right? Like what, what, what are the things you see that. The easy stumbling blocks that could be fixed. [00:13:38] Arif Razvi: Yeah. Well, probably the easiest is, uh, waiting to talk about marketplace at the last minute and not making it part of the full commercial journey [00:13:45] Vince Menzione: Yeah. [00:13:45] Arif Razvi: That the sellers will go through. Right. So, um, but that includes being able to have those internal conversations from the executive level, getting that executive sponsorship from marketplace upfront. That filters down through the rest of the organization. So you’ve gotta get rev ops teams, finance, legal, you know, the marketplace terms, the, the standard, uh, contract that goes into your listing has to be approved by legal. [00:14:08] Arif Razvi: Uh, and then you get down to the sales teams, making sure that you’re not penalizing sales teams for doing transactions on marketplace, which will create friction, then meeting buyers where they are, right? So local entities, local currency, um, having all that wired up. Uh, I met with a, a partner yesterday at Summit who is literally wiring up 10 new regions, 10 new entities in 10 new locations on marketplace in advance of what they know is a pipeline that’s going to be building into those regions. [00:14:37] Arif Razvi: So they’re getting ready and not waiting for the last minute for marketplace. [00:14:40] Vince Menzione: I love it. And the internal, go ahead. [00:14:43] George Maroulakos: Yeah, I, I echo definitely what Arif was saying and I think the, the other aspect of that is that our customers shouldn’t feel like it’s more painful. To use marketplace versus they would any other way. [00:14:54] George Maroulakos: And so whether that shows up in pricing, it shows up in awareness of what marketplace is and isn’t, or what it can or cannot do. Um, whether it’s introducing it naturally or it’s this, oh, by the way, on the end, like the, the more. Integrated marketplace is as a part of your co-sell motion, whether you’re doing it directly on your own or through a reseller or with AWS or all of the above. [00:15:17] George Maroulakos: Um, it’s, it should be a natural extension and a value point that you’re bringing to your respective customers, not some. Interrupt driven or, or exception based activity that goes along with selling your, your, your, your solution. [00:15:31] Vince Menzione: Why do you think customer, some customers or some partners are held back or what, what, what is, is it a mindset? [00:15:38] Vince Menzione: I mean, I talk about the principles, you know that, but like, is it mindset? What is it? Is it, [00:15:42] Arif Razvi: it’s, it’s internal. Friction. Yeah. A a a lot of what I see, especially in these, in, in embedded engagements is the amount of, you know, I have a lot of empathy for this room, right? Because you are the ones that have to go internally and navigate all of these stakeholders to be able to convince them that marketplace is the route to market. [00:16:01] Arif Razvi: It’s the preferred route to market, and it’s the way that a AWS wants to co-sell. With its partners. And that’s a hard thing to do if you don’t speak the same language that the tax legal, rev ops, finance, accounting, because everything changes. When you start doing transactions on marketplace, your revenue is booked differently, right? [00:16:20] Arif Razvi: It’s booked as a w from AWS and not from the, you know, from the, so things change and having that conversation is often challenging. Uh, we are working on some tools that will help make that conversation easier. Um, and we’ve already written blogs, and again, there are mechanisms that your partner managers have internally that they can request support and guidance. [00:16:43] Arif Razvi: Uh, and we’re happy to provide that. [00:16:45] Vince Menzione: What needs to change so that marketplace becomes a true go to market engine. [00:16:49] Arif Razvi: Top down, top down, top down where, where I’ve seen the most success. From a partner is where they’ve gotten strategic alignment at the executive level. That marketplace is the way we are going to, uh, sell globally. [00:17:02] Arif Razvi: Right? Then that starts to filter down, as I mentioned earlier, into the different teams and yes, it is a journey and you may start with the US or if you’re EMEA based. Partner, you may start with just amea, but eventually you will start to expand your, you’ll want to expand your business. Um, and marketplace is a great place to do that because we have all of those mechanisms globally to help you scale without adding incremental resources to handle the tax or the compliance or the invoicing and collection and all that stuff. [00:17:30] George Maroulakos: Yeah. I’ll add to that because I’m gonna steal a second thing you said, Allison, about centering around a customer. I, I loved a lot of Allison. Come on now. I’ll be your hype guy. I absolutely, but, but, but the but demand will drive supply. And I think to what you were talking about, Arif, when are customers, when. [00:17:46] George Maroulakos: Our customers come to you about wanting to use marketplace. Yeah. How are you ready to adapt to that? How are you ready to respond to it? And if it becomes a disjointed, not centered around a customer, bespoke based, independently based interaction with the customer, everybody loses. Versus if you’re ready to embrace what that means and how to make that as good of an experience, if not better, versus how they might have traditionally procured your solution and deployed it. [00:18:13] George Maroulakos: Um, now we have a much better together story. So I think understanding that customers more and more are going to use marketplaces, particularly AWS marketplace, and want to make use of partner solutions that embrace marketplace as a part of their way to procure and deploy. You have a much better chance of being successful with them. [00:18:33] Vince Menzione: You know, it made me think about this. Is there a seminal event? Like I think about, I think back to COVID changing buying behavior, right? I’m, we’ll use AWS, an example, three boxes show up in my house every day, right? That didn’t happen before. We used to go to the store. Is there a seminal event we’re waiting to happen? [00:18:50] Vince Menzione: I, I know that the millennial buyer, we talked about this earlier with Matt, is the new buying persona. Over 50% of buyers are millennial and they’re used to doing comfortable with phones and trust Is all there. Is there something else we’re missing or what do, what do you think’s gonna happen? [00:19:03] George Maroulakos: I really think it’s what in front of us right now. [00:19:05] George Maroulakos: Yeah. Vince, I think what. Agen solutions, what Agen SaaS offers, what the power of information and research that’s now directly available to customers versus maybe indirectly available through consultancies or deeper research. Um, the velocity of what our customers are going to be able to do and with partners that they may not have even heard of right before. [00:19:32] George Maroulakos: You know, they started their journey. I, I think this is a present day. Inflection point. Yeah. Um, going back, you know, over the past several years, the advent of supporting private offers I think was a pretty big milestone for marketplace. It allowed for our partners to be able to. Work through customized terms and conditions and commercials that were important for a particular opportunity in a customer. [00:19:54] George Maroulakos: But today, the here and now I think becomes the next inflection point for the success of marketplace. [00:19:59] Arif Razvi: That would [00:19:59] Vince Menzione: Go ahead. [00:20:00] Arif Razvi: I was just gonna add on top of that, but partners need to be ready for that. Right? And if they’re not ready to accelerate a deal and get it closed in days versus stalling it for weeks to negotiate. [00:20:11] Arif Razvi: Yes. Like they’re not gonna stand. Customers are not gonna stand for that. So partners need to be ready to move quickly. If you think about all the innovations that Matt is delivering for Marketplace and Partner Central. They’re about accelerating co-sell. They’re about accelerating deal velocity. They’re about, we know f from, from the Forrester studies and others that we presented, that we’ve made public that the deal value goes up when you’re dealing with marketplace and co-selling with AWS. [00:20:36] Arif Razvi: So how can we just accelerate that? Yeah. Partners need to be ready for that and move quickly. [00:20:40] Vince Menzione: And you use partners in sort of a, you know, plural sense, but I think about those organizations as so many multifaceted. We talked about finance, we talked about all of different functions in the organization. [00:20:51] Vince Menzione: What are you doing to help that? I mean, we talked about you’re doing a lot of readiness work, but I do feel like there’s a lot of evangelism still to be done internally with those organizations. How do you think about [00:21:02] Arif Razvi: that? Yeah, we, um, obviously events like this are fantastic mechanisms to at least get the conversation started and get your head thinking about what you need to think about. [00:21:10] Arif Razvi: But we have other activities. We have, uh, rev Ops squads, right? So revenue operations teams, and we bring them together, uh, around the world op, uh, ops squad, which is operational teams, so deal desks and others that help them, uh, understand the capabilities that marketplace can bring to accelerate deal velocity. [00:21:28] Arif Razvi: And then we have, like, obviously other events like the, the, uh, marketplace Seller Conference in September where we bring marketplace sellers together and give them, you know. Guidance. And so there are ways to get this information beyond just like getting somebody from my team, of which there are very few as you, you know, as we start to, to consolidate down. [00:21:47] Arif Razvi: But um, but they are available and there’s other mechanisms and we’re happy to share those out. [00:21:50] Vince Menzione: Nice, nice. Well coming here doing this and we’ll make a podcast episode out of this as well. Can you hear. I hear us all, uh, because I do think it’s important to get in front of, especially the Chief Finance Officer and operations and all those different departmental heads who aren’t really embedded into, like, they don’t come to these events. [00:22:07] Arif Razvi: Yeah. And they also don’t log into Partner Central. That’s right. So how do they get this information right? Yeah. So we have to one to one it with them. Yeah. But that doesn’t scale when you think about what’s gonna happen now with this next wave of GSIs and sis and, and others coming onto Marketplace who hadn’t been there. [00:22:22] Arif Razvi: Yes, they’re gonna need the same guidance. Yeah. So we have to start thinking about what we’re building is AI tooling to help with those conversations. [00:22:28] George Maroulakos: Well, and, and you know, if, when I think about it from, from our buyer’s perspective, even just yesterday we held a, a couple of round table discussions with some procurement leaders that were, we’re here for the summit and, you know, we do a lot of enablement and, and awareness. [00:22:42] George Maroulakos: With alliance leaders at our partners, and that’s certainly a, the tip of the spear of getting the conversation started, but it’s not enough. And one of the things that we hear from our customers is. Well, you may have a great partnership with particular partner A, but the individual experience that I had with that sales rep doesn’t match that. [00:23:02] George Maroulakos: And so yeah, the evangelism and the awareness, yes, and the understanding of marketplace has to go beyond just the alliance team. You guys are the amplifier to it. But the folks that not only are in the back office and all the, the, the operational teams, but on the front lines and field sales need to also understand and embrace, not understand all the features and capabilities of marketplace. [00:23:25] George Maroulakos: AWS needs to handle that, but understand how marketplace fits into the co-sell strategy in what’s going on for that particular customer is very, very important to make sure our customers get the right experience. [00:23:37] Vince Menzione: Well, I think Arif, you mentioned this earlier about compensation models. And that’s a, that’s a factor too. [00:23:42] Vince Menzione: ’cause people, people, um, they’re fearful of change. They’re fear, fearful of compensation changing. Especially, especially sellers. I, um, again, that’s a coaching area. [00:23:54] Arif Razvi: Yeah, it’s a coaching area. Um, it, it, it is, um. It’s probably one of the easier ones to solve. Um, and, and, and, you know, we have these conversations with partners about net, uh, cost neutral or uh, seller neutrality and things like that. [00:24:06] Arif Razvi: Once you show them the economics of how AWS can increase their deal value, those economics sort of, they go away. The problems go away, but they, you have to get in front of those. Uh, you know, senior leaders, the CROs and the CFOs, to have that conversation to then go, okay, I get what’s going on here. I get why I’m paying. [00:24:23] Arif Razvi: The listing fee is, is about funding all of these marketing activities that we do for our partners, right? [00:24:29] George Maroulakos: Well, and then you use the word neutrality. The other end of that neutrality problem or, or, or challenge is the pricing that goes along with the opportunities that are made available to customers. [00:24:38] George Maroulakos: And so to one of your earlier questions on points of friction or what, what stops it from taking off further? When, when partners and our customers have a disconnect on. What they’re expecting to pay when they use marketplace, or if there is a unnatural cost that goes along with procuring that solution through marketplace. [00:24:57] George Maroulakos: That also tends to bring a, a pretty bad experience, not only for that opportunity in front of them, but for respective opportunities that may, may be in play thereafter. So thinking about not, you know, having an a, an unnatural experience for our customers relative to pricing as well as compensation and, and everything else is, is also very important. [00:25:17] Vince Menzione: So we’ve got a few minutes left, and we haven’t really touched on ag agentic AI and agen AI solutions. A little bit different than the SaaS solutions per se. How, how are these solutions brought and sold differently than SaaS? [00:25:30] Arif Razvi: Uh, well, as Matt said, the SaaS apocalypse is not real. [00:25:34] Vince Menzione: Yeah. [00:25:34] Arif Razvi: Um, he doesn’t, I’m glad to hear that, nor nor do I. [00:25:37] Arif Razvi: Um, I, I think what, you know, where, where SaaS has been very user seat based, you’re moving now to a world that’s gonna be more consumption based or outcome-based pricing. And so that’s really changing the dynamic and I think partners need to think about what does an outcome-based, uh, pricing model look for My particular. [00:25:55] Arif Razvi: Um, product, uh, Zendesk is a good example of, Matt published a blog, uh, earlier this week, I think it was, where we, we referenced Zendesk pricing on closed tickets or, or resolutions to tickets, right? For, for outcome-based pricing. So I think we need to think about on the pricing side, how to reprice, how to think about pricing. [00:26:13] Arif Razvi: But on the discovery side, thinking about what your, what your listing looks like, it’s no longer about marketing copy. It’s about, it’s almost, I was talking yesterday about being an API contract. ’cause the agent needs to have all the details that a person doesn’t necessarily need to have in order to make a recommendation that your product is the best fit based on the technology that’s underlying that, where it’s gonna fit in the infrastructure. [00:26:37] Vince Menzione: So three and a half minutes left lightning round. Um, but seriously, what, what if I’m in the room or even any, any partner that’s listening today, what do I need to change in the next 30 days? [00:26:50] George Maroulakos: From my perspective, think about marketplace as a why not as opposed to a why. And if you change your mindset around marketplace can be better together in helping to accelerate and expand your opportunities with our mutual customers. [00:27:03] George Maroulakos: You’ll get a whole lot more value out of it. You’ll get away from the fud in the system or some of the traditional roadblocks that you either have been or could be encountering when you think about marketplace, uh, together with your, with your solution. So think about the why not think about the value that the, the, the total solution can bring to our mutual customers and integrate it much more naturally into your total sales motion. [00:27:26] Vince Menzione: Nice. [00:27:27] Arif Razvi: I would say maybe three things. One, um, don’t just sell globally. Operate locally. Think about how your buyers wanna buy and then meet them there, right? As a partner, even if you’re doing CPPO transactions, um, you know, meet them in the location. Number two, top down, go get that executive alignment so the problems start to disappear, or at least are easier to manage when you’ve got that executive alignment. [00:27:51] Arif Razvi: And the third was, uh, don’t wait till the last minute to introduce marketplace. Work with your sales teams to make sure it’s part of the early conversation versus no procurement leader wants to know at the end of the day, oh wait, it’s coming. I gotta deal with this marketplace thing. They don’t wanna deal with it on the buyer side. [00:28:06] Vince Menzione: No, absolutely. Alright, we’ve got time for like one question in the back. Is that Eric? Yeah, that’s [00:28:12] Guest: me. [00:28:13] Vince Menzione: Hey. [00:28:14] Guest: Hi, Eric Rosenstein, um, with Cornerstone Strategy XAWS. So George, you talked about, uh, tools around that customers can use to research for self discovery. So what guidance, uh, first of all, like what capabilities are these tools gonna bring and what guidance would you give an industry specific ISV? [00:28:36] Guest: So someone that’s focused on law enforcement or private equity. That solution may be Angen solution, or it may be something more SaaS related. What guidance would you give an ISV to think about how to best leverage those tools? Is it metadata? Is it like. The outcome that your solution’s gonna drive, how would you tell ’em to best utilize those coming tools? [00:28:58] George Maroulakos: Yeah, excellent question and, and I think this is gonna, going to continue to emerge in the days, literally in weeks, weeks ahead. But recently, I, I’d say over the last six months, the advent of agent mode I think has been a game changer and the ability for our customers to use marketplace directly to research. [00:29:18] George Maroulakos: Efficiently what’s in our catalog. Prior to that, we had a category based. Old school based, search based category, click through way, which became very buried beyond the first page for any solution that was out there. Now with natural language query and the ability to propose, what am I specifically looking for, it gives partners that were on the first page or the last page in equal opportunity to be surfaced. [00:29:48] George Maroulakos: So then for a partner being able to do many of the things you just enumerated. Better metadata, better keywords, better description and differentiation for what your solution offers allows for the Ag agent search, whether it’s natively within AWS or outside of AWS through Claude Chat, GBT Crock Pick your, your, your agent of choice. [00:30:10] George Maroulakos: To be able to identify and know that your solution’s available. [00:30:13] Arif Razvi: And from a partner side to your question, I would say, uh, rich metadata, uh, both so that agent mode can find it. Yeah. Use cases, problems, it solves, you know, uh, technical specifications, pricing where you can, right. So that agents can really understand the solution, uh, that the buyer is, um, is looking for. [00:30:33] Vince Menzione: GEO is. [00:30:37] Guest: Perspective should be like as detailed as saying, so this agent is gonna act on these various data sources. [00:30:44] Arif Razvi: Yes. [00:30:45] Guest: Bringing it all together to drive that outcome that you want the agent [00:30:48] Arif Razvi: drive, if you can include what it needs to connect to in order to deliver that outcome as part of the listing. [00:30:53] Arif Razvi: Absolutely. ’cause the agent will want to know. For sure. [00:30:57] Guest: Thanks. [00:30:58] Vince Menzione: Alright, we are at time and this was a great session. [00:31:01] Arif Razvi: Thank you Vince. [00:31:01] Vince Menzione: Great to see you, George. George and I grew up, uh, five miles away from each other and went to the same college. I love it. Great to, great to spend some [00:31:09] Arif Razvi: time with you, George. [00:31:11] Vince Menzione: Thanks for listening to the Ultimate Partner Podcast. If today’s conversation resonated, share it with a partner leader in your network. Subscribe where you listen, and head over to the ultimate partner.com. For show notes related content and the resources for this episode, and if you haven’t already, now’s the time to register for the Ultimate Partner Live Event in Reston, Virginia, October 26th through October 28th. [00:31:38] Vince Menzione: Until next time, keep showing up in the rooms that matter because being in the room changes everything.

In the Hermiston and Boardman area, there are more than seven active data centers owned and operated by Amazon Web Services. Last year, the city of Hermiston annexed 800 acres of land to AWS, paving the way for more in the future. And while some have shared concerns about the environmental impact these data centers have, they have brought their communities millions of dollars. For the city of Hermiston, Amazon’s operations have funded renovations to the library, city hall and most recently, a water treatment facility for Umatilla County.

Bloomberg reported that Callosum raised $100 million to build software that matches AI workloads to specific chips. The company targets routing and scheduling so training and inference jobs run on hardware that fits their memory, bandwidth, and cost profiles. The raise comes as enterprises manage heterogeneous fleets across AWS, Microsoft Azure, Google Cloud, and specialized providers like CoreWeave and Lambda. The market includes established schedulers and recent deals such as Nvidia's 2024 agreement to acquire Run:ai and Databricks' 2023 purchase of MosaicML for $1.3 billion. Buyers will evaluate governance, cost allocation, and measurable utilization gains. Founders should pilot across multiple chip families and providers and track throughput per dollar, queue times, and job success rates.Learn more on this news by visiting us at: https://greyjournal.net/news/ Hosted on Acast. See acast.com/privacy for more information.

Your site is down. It's 3am. Is it a bug, a bill, or a breach? You can't tell yet, and everyone is watching you find out. Matt Lea has spent fifteen years being the person companies call when an outage is costing them real money per hour, and his whole argument is that everything you'd want in that moment gets decided months earlier, on ordinary afternoons, when someone chose the convenient thing. We walk his top twelve dos and don'ts in AWS - infrastructure as code, IAM roles instead of access keys, private subnets, no wildcards, no public buckets - and I push on which of them actually matter if you're one person on a small VPS. Then we get to Cloud War Games, where Matt breaks things on purpose so your team's first real incident isn't their first incident. Let's get into it. Episode sponsors Sentry Error Monitoring, Code talkpython26 Talk Python Courses Talk Python Courses Links from the show Guest Matt Lea: linkedin.com Talk Python Certificates: training.talkpython.fm/certificates Schematical: schematical.com CloudWarGames.com: cloudwargames.com Zero to Hero on AWS Security: www.oreilly.com Repo: github.com Custom Wheel Offset: customwheeloffset.com 2012 TechCrunch Disrupt Hackathon: techcrunch.com tech comics: schematical.com shhgit: github.com Zero Trust in 200ms: Implementing Identity-Per-Transaction: us.pycon.org Coolify: coolify.io returned to full GA Nov 2025: aws.amazon.com Signed URLs/cookies: docs.aws.amazon.com Cloudflare: www.cloudflare.com Bunny Shield: bunny.net Cloud War Games One: www.youtube.com Cloud War Games Two: www.youtube.com LinkedIn: linkedin.com YouTube: youtube.com KnocKnoc: knocknoc.io Watch this episode on YouTube: youtube.com Episode #559 deep-dive: talkpython.fm/559 Episode transcripts: talkpython.fm Theme Song: Developer Rap

William Collins and Eyvonne Sharp dig into the latest AI headlines, from the largest copyright settlement in American history to stolen AI models and invisible watermarks on Claude output. Plus, they discuss why so many companies have rallied around NVIDIA’s support for open weight AI models. Our hosts also examine the biggest questions arising from... Read more »

William Collins and Eyvonne Sharp dig into the latest AI headlines, from the largest copyright settlement in American history to stolen AI models and invisible watermarks on Claude output. Plus, they discuss why so many companies have rallied around NVIDIA’s support for open weight AI models. Our hosts also examine the biggest questions arising from... Read more »

ServiceNow and AWS reveal how the DevOps Agent and MCP Server Console are turning incident response into a fast, autonomous, fully governed process. Topics Include:Govind Menon (ServiceNow) and Arun Jacob (AWS) discuss MCP and A2A strategy.ServiceNow understands workflows; partners with AWS to power them with AI.AI Control Tower governs and secures agent access to enterprise data.MCP is the industry standard for how AI agents read and act.Action Fabric spans A2A, REST APIs, and MCP for agentic work.AWS DevOps Agent, built on Bedrock, resolves incidents through sub-agents.Admin and operator access patterns integrate with Dynatrace, Datadog, Slack, GitHub.Demo: ServiceNow incident automatically triggers DevOps Agent investigation and resolution.DevOps Agent writes findings live back into the ServiceNow incident ticket.ServiceNow champions capping MCP servers at 30 tools for performance.MCP Server Console lets teams build scoped, use-case-specific tool servers.NowAssist skills, Knowledge Graph, and REST APIs become MCP tools.Live demo connects a 38-tool custom MCP server to DevOps Agent.Role-based access ensures users only see their permitted MCP tools.ServiceNow's autonomous ITOM agents point toward unsupervised future operations. Participants:Govind Menon – Head of MCP Product, ServiceNow Arunsingh Jeyasingh Jacob – Senior Solution Architect - ISV, Amazon Web Services See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Bloomberg reported that Anthropic surpassed a $65 billion annualized revenue run rate ahead of a planned IPO. Anthropic, founded by CEO Dario Amodei and President Daniela Amodei, sells access to Claude models via APIs, enterprise products, and cloud marketplaces. The company partners with Amazon and Google, with Amazon committing up to $4 billion and Google providing about $2 billion in financing reported in late 2023. The run rate metric can include usage-based contracts, commitments, and prepayments, and does not disclose margins or revenue concentration. Cloud providers such as AWS and Google Cloud are positioned to benefit through compute consumption and bundled services. Enterprise buyers are shifting to negotiated volume tiers, reserved capacity, and cost controls while comparing embedded AI features to direct API use. If Anthropic files an S-1, disclosures on revenue mix, cloud commitments, and gross margins will shape investor expectations.Learn more on this news by visiting us at: https://greyjournal.net/news/ Hosted on Acast. See acast.com/privacy for more information.

AWS Morning Brief for the week of August 17th, with Corey Quinn. Links:Amazon EC2 introduces application status checksAWS IAM Identity Center supports one-click multi-Region option for new organization instancesAmazon S3 adds additional policy details to access denied error messagesAWS Secrets Manager adds managed external secrets support for Jenkins and SonarQubeBurst to Region: Overflow AWS Outposts workloads to Amazon EC2Designing for failure: Building resilient systems on AWSAmazon Quick for Microsoft 365: Agentic AI where you workIntroducing the next-generation AWS VPN Client with CLI support and admin controlsAWS Certificate Manager will discontinue email validation to prove domain validation for certificatesHow AWS IAM role manager rethinks the starting point for IAM rolesHow to authenticate customers during chat with Amazon Connect CustomerHow WeatherBug reduced storage costs by 80% using Amazon S3 Storage Lens and Kiro CLIIntroducing the new AWS Cloud Quest: AI-powered practice, hands-on building, and a path to official AWS badgesTwo bulletins, one CVE, and Base64 bites C++

Don’t miss this massive channel shift! Subscribe to our Newsletter:https://theultimatepartner.com/ebook-subscribe/ Check Out UPX:https://theultimatepartner.com/experience/ In this episode of the Ultimate Partner Podcast, host Vince Menzione sits down with Alexandra Zagury, Corporate Vice President of Channels at Microsoft, to explore ecosystem shifts, partner-led growth, and AI transformation. https://youtu.be/9jrSGX5bM90 Key Takeaways Microsoft’s telemetry and propensity data offer unprecedented insights that many partners are currently failing to unlock. Partners must evolve past basic licensing models and build comprehensive managed service stacks across the entire customer lifecycle. Establishing an AI Center of Excellence on the Microsoft platform is critical for capturing future market share and technical intensity. The modern tech ecosystem demands a shift from product-led growth to true partner-led growth driven by multi-partner collaboration. Renewal engines targeting 110% to 125% retention require an always-on motion starting well in advance of contract expiration. Investing in sales readiness and precision velocity training ensures that end sellers can effectively articulate the value of the Microsoft platform. If you're ready to lead through change, elevate your business, and achieve extraordinary outcomes through the power of partnership—this is your community. At Ultimate Partner® we want leaders like you to join us in the Ultimate Partner Experience – where transformation begins. Key Tags Microsoft, telemetry, Hyperscalers, channel, small medium enterprise, telcos, hosters, SSPs, Cisco, CSP, agentic GTM, propensity data, SPX, PUPP, cloud descent, MSPs, managed XDR, Agent 365, skilling, co-sell, renewals, flywheel, AI Center of Excellence, enterprise Transcript Alexandra Zagury Audio Podcast [00:00:00] Alexandra Zagury: One of the things that I think is the best kept secret at Microsoft is the telemetry that we offer our partners. [00:00:08] Vince Menzione: You can feel it happening. The ecosystem is shifting beneath us, the way Hyperscalers are partnering, how AI is remaking the channel and what it means to win in 2026. Welcome to the Ultimate Partner Podcast. [00:00:22] Vince Menzione: I’m Vince Menzi, own your host, and each week I sit down with leaders at the intersection of technology. Partnerships and outcomes. The voices shaping how ecosystems actually work. We talk about what’s real, what’s changing, and what it takes to lead in this era where the partner channel isn’t just part of the strategy. [00:00:41] Vince Menzione: It is the strategy because being in the room changes everything. Let’s [00:00:46] Guest: start. [00:00:50] Vince Menzione: I am thrilled because I get to have a leader that is somewhat new in role and is the corporate vice president of channels for Microsoft. And so Alex is here to, is joining us for the first time at Ultimate Partner. I’m thrilled to have you. Thank, thank you so much. Thank you so much. Welcome, welcome. [00:01:14] Vince Menzione: Thank you. Thank you. You and I are gonna be in the center seat in the middle. Okay. Yeah. Yeah. We wanna. So I am thrilled. Um, you’re relatively new in your role at Microsoft. [00:01:24] Alexandra Zagury: Seven months. [00:01:25] Vince Menzione: Seven months, [00:01:26] Alexandra Zagury: yes. [00:01:26] Vince Menzione: Wow. That’s a, that’s a crazy. So take us through, ’cause for those who don’t know you, but a little bit of an introduction, your title, your role, CVP, and uh, your remit. [00:01:37] Vince Menzione: Let’s talk about that and what your organization is focused in, in your mission. Yeah. [00:01:41] Alexandra Zagury: So hi everybody. Really exciting to be here. Thanks for the invitation, Vince. I always love to be with partners and with the channel. So my, I came to Microsoft to lead a new role, which we call Global Channel Sales, and it was part of the strategy of Microsoft to really bet on the growth in small, medium enterprise. [00:02:04] Alexandra Zagury: With the channel partner led growth. So my remit is really to lead our managed partners, but also to lead the strategy when it comes to the channel. Very specifically looking at the telcos, the distributors, the hosters. The sis and, uh, the SSPs of course. And, and so my role can be summarized in one word growth, and that’s what we do every single day is map our ambition to your ambition and figure out how we actually conquer this age of ai. [00:02:40] Vince Menzione: It’s a pretty big role. It’s a pretty, you know, I forgot about hosts ’cause we don’t, we don’t talk about them as much these days in the cloud. [00:02:48] Alexandra Zagury: Still a lot [00:02:48] Vince Menzione: of opportunity. You’ve got, and you’ve got all the telcos as well, which are pretty significant organizations, right? Lumen Field, just around the corner. [00:02:56] Vince Menzione: Mm-hmm. Right up the. Right up, I said across the river, but it’s across the pond in Seattle. And, uh, what does that look like from an organization perspective in terms of dollars? Are you allowed to disclose numbers? [00:03:08] Alexandra Zagury: No, we [00:03:08] Vince Menzione: don’t talk numbers. Okay. And, but you have a long career in this type of environment, in this role. [00:03:15] Vince Menzione: 10 years at Cisco, right? [00:03:17] Alexandra Zagury: Mm-hmm. [00:03:17] Vince Menzione: Tell us a little bit more about your background, [00:03:18] Alexandra Zagury: please. Yeah, sure. Um, well I started out as a, a sales leader. Uh, actually I started out in banking, if you wanna go all the way back. Um, but I fell in love with the channel actually, when I was at Yahoo, believe it or not. Wow. [00:03:32] Alexandra Zagury: Because it was the first interact sales model that I had the privilege to operate in, and I really understood. Stood the power of going through a channel. And then I was at Blackberry where I, I, I also, um, well had various sales leadership roles, but our model was all through, was all through the channel. [00:03:51] Alexandra Zagury: Yes. Um, some startups and then help [00:03:54] Vince Menzione: in those days too, right? [00:03:55] Alexandra Zagury: Yeah. It was all sps and I learned from Jim Balze the channel fundamentals. So, um, and then ended up, of course, at Cisco the last. Nearly 11 years, which I think is also one of the greatest channel companies. Yes. And really has thrived in a partner, partner led growth, and in a partner led model. [00:04:12] Alexandra Zagury: And so when, when Microsoft called, I mean, this was just the opportunity of a lifetime. To lead the channel during an era where we’re all getting disrupted, we’re all having to blueprint new systems, new ways of working, where go to market is getting identified, and we’re all having to figure out how to become customer zero ourselves, but then also how to go to market. [00:04:36] Alexandra Zagury: With, with agents. And so this was the, the most exciting time that I could think of to join the Microsoft ecosystem and really take us to the next level. [00:04:44] Vince Menzione: Well, your background is perfect for this. I, I, Rodney Clark is a friend, has been a guest on the podcast and in, in the studio, and I think of Cisco is the quintessential channel company. [00:04:56] Vince Menzione: Like when I think about how channel got created and how it worked well, it was always Cisco that did it. So give us like your perspective now, like seven plus months and like how does this feel like you’ve You’ve got a big remit and, uh, various, uh, routes to market. We’ll call them, uh, channels to market. [00:05:14] Vince Menzione: So take us through a little bit of that, like Yeah, sure. [00:05:16] Alexandra Zagury: Describe [00:05:16] Vince Menzione: the transition, what it’s been like [00:05:18] Alexandra Zagury: for you. So one of the things we’re focused on is supporting the channel through the transformation, and we look at it in a couple of lenses. The first lens is really helping the channel become customer zero. [00:05:29] Alexandra Zagury: We really believe that the partners that invest in. Actually identifying their own processes and their own go go to market are the channels, are are the partners that it can actually win because if you are using it, you’re gonna be able to sell it. The second layer is all about technical intensity, and I’m very passionate about this because I see it from two lenses. [00:05:51] Alexandra Zagury: One is. I would like each and every of our partners to lead in building an AI Center of Excellence based on the Microsoft platform. It is a unique opportunity. I can give you lots of numbers, right? We’ve all heard about the trillions of agents that are gonna be here by 2030. We’ve all heard about the tam. [00:06:12] Alexandra Zagury: I mean, our TAM is going from 777. Million to over a billion, uh, to over a trillion. I, it’s, the numbers are just enormous, insane, right? Over half a billion of customers in our base that are using, that are, that are based already on the Microsoft platform. So all the goodness of our IU IQ platform can be unlocked with all the services that the partners can build. [00:06:36] Alexandra Zagury: So investing in that technical skilling and building those practices are gonna be, is gonna be essential. The third part. The third pillar is all about ag agentic, GTM. So once you’re actually using, uh, the Microsoft platform, you’re gonna have to reimagine all your business’s pro processes, your sales processes, and the more that you are integrated into how we do, how we do things. [00:07:00] Alexandra Zagury: One of the things that I think is the best kept secret at Microsoft is the telemetry that we offer our partners. Yeah. I mean, it’s unbelievable. I’ve never seen the quality of propensity data. And now I’m gonna give you the ABCs, which is please, A SPX, which is where we get all our copilot data, PUPP, which is our proposal upsell, uh, planner, right, cloud descent, where you can actually get your next action directly to your sellers. [00:07:27] Alexandra Zagury: There is just so much goodness that we give, which is part of our, our investment in partners. Which takes me to the fourth pillar, and that is all about value alignment and one of the things that I’m very focused and I bring with me from, from Cisco and the work that I did with MSPs is really thinking through what is that value exchange between us and the partner. [00:07:49] Alexandra Zagury: I believe that I’m in the business of earning your trust. Earning your preference. And, and, and we do that by really mapping that value alignment. So not just, one of the things that the whole industry has copied from Microsoft is really looking at our incentives across the customer lifecycle. Yes. So really mapping the value alignment across the customer lifecycle, not just at the point of the deal. [00:08:13] Alexandra Zagury: ’cause that was the whole purpose of CSP. That’s right. The investments we make in tele telemetry, the investments we make in our go-to-market assets and having those bi-directional feedback loops so that we can be continuously improving. So those are sort of the things that I’m thinking about every day. [00:08:29] Alexandra Zagury: There’s a couple of others as we lead and support you in this transformation. ’cause I think of my job as to supporting and driving growth with you so that we have that joint ambition. But also supporting the transformation that both of us are on this journey. [00:08:44] Vince Menzione: And Microsoft was the first with Jay McBain was with us yesterday, and we talked, we’ve talked about this before, but you were the first company to take and look, get rid of the old metal systems, right? [00:08:55] Vince Menzione: The bronze, silver, gold, mm-hmm. And move to basically a point system for partners so that they can come at it from a kind of a global perspective on how they drive success. What was, um, what did you learn about this partner community, your first months that you didn’t expect? [00:09:12] Alexandra Zagury: Can I say something controversial? [00:09:14] Vince Menzione: Absolutely. Okay. [00:09:14] Alexandra Zagury: I love, [00:09:14] Vince Menzione: we love controversial, [00:09:15] Alexandra Zagury: so I think one of the things that I was surprised was that I didn’t see all the partners really unlocking the value of CSP. Yeah. What do I mean by that? When Microsoft moved to the Point System, and I was on the other side, really, I was so jealous of CSP when I was running managed services. [00:09:34] Alexandra Zagury: Here’s an offer that is for partners, for Partner that gives you that initial. Guarantee in terms of the margin that helps you throughout the customer life cycle with all the incentives and, and programs that we have. And I didn’t see, I mean there are some partners, but I was surprised not seeing more partners really building their value stack and their services across the lifecycle. [00:09:59] Alexandra Zagury: And I think there’s such a great opportunity now to do that. That was one of the most surprising things I thought. Oh my gosh, there must be so many, so many services stack, so many people really unlocking, unlocking that, that value. That was a, that was a little bit surprising. [00:10:14] Vince Menzione: Why? Why do you suppose, why do you suppose that was happening? [00:10:17] Alexandra Zagury: I think some of the things that we were listening here, there’s some, sometimes complexity. There are things that we still have to. Get better on, and I’m one of the first ones to say that like our partner experience, we have, um, you know, a lot of focus right now on partner center and ensuring that we’re identifying it. [00:10:36] Alexandra Zagury: I don’t know if I can say it, but, you know, one of the things that we’re looking at is replicating internally. We have Agent J. That supports our sellers through the sales process. Nice. We’re looking at having something similar for our partners. Very cool. Getting some claps there. So, yeah, so, uh, I think, you know, that I, some, there are some lockers that we, we have to acknowledge a lot of them are operational and comes with being a 50-year-old company. [00:11:02] Vince Menzione: I, I’ll give you my perspective too. I wanna get your thoughts on this. ’cause I got to, I’ve gotten to know this MSP community, which is a, you mentioned managed services and that, um, I think that some of them, well, I think Microsoft is leaning in, in a much bigger way. Um, we had Jose on stage yesterday and just the, the energy around the room, there he is, he’s back here. [00:11:23] Vince Menzione: The energy in the room around the MSP community is palpable and it maybe it wasn’t there a few years ago. Maybe some people got off the bus, so to speak, like they weren’t really paying attention mm-hmm. To all the change and all the investments. That you men, you’re mentioning or being made to support this, would you, what would you say about that? [00:11:42] Alexandra Zagury: Yeah, I’d say that that that is correct, but I’d also say that what I learned, you know, leading MSP at Cisco was that. All the stars have to be aligned, right? And if one thing is not right, if you don’t have product market fit, if you, if you, if you don’t have a good way to, uh, consolidate your offer, if you don’t have that investment in practice development, like there’s a series of things that we need to get right. [00:12:07] Alexandra Zagury: And I think Jose and I spent a lot of time thinking through those things and we’re, we’re ready to, to welcome the community and specifically around security. I mean, that was the second thing that I was really surprised because I lost so many deals on the other side to Microsoft, and I was like, and then I come on this side and I’m like, there’s all this opportunity everywhere. [00:12:28] Alexandra Zagury: I look underneath this chair, this opportunity, and I’m like, why are people not going after it? There is the opportunity to build managed XDR solutions, the opportunity to reinvent the song. There’s, there’s just so much opportunity and I think people get so stuck in the. Just thinking of it from a licensing model and not thinking it from the, the full on end-to-end value that you can then unlock through the best licensing model on the planet. [00:12:55] Alexandra Zagury: And so, look, we’re here, we’re, we’re ready to talk to all of you and, and really figure this out ’cause we are gonna place really bet big bets next year on ensuring that we’re growing with the MSP community. [00:13:08] Vince Menzione: So what are you personally focused on in changing Microsoft to drive this. [00:13:13] Alexandra Zagury: Well, uh, I don’t know. [00:13:14] Alexandra Zagury: Changing is a, is a, is a big word. Well, I like evolution, change, [00:13:17] Vince Menzione: evolution, evolving. [00:13:18] Alexandra Zagury: You know, I [00:13:19] Vince Menzione: transition. [00:13:21] Alexandra Zagury: I think there is, there is a couple of things that I’ll say that one of the things that I, I’m really focused on right now, the first one is skilling. We’re at a time of such transformation. That investing in skilling, and if you look at our skilling model, it has four pillars. [00:13:37] Alexandra Zagury: The first pillar we’re best in class, in which is certification specializations, and making sure that our ecosystem is certified to go to market. The second one, which we call project ready. It’s sort of how we help you, uh, technically skill the folks that sit in your practices. And there’s more work to do there, and there’s more that you can learn about how we can actually help you. [00:13:59] Alexandra Zagury: And then the middle part I’m obsessed with right now, which is sales ready and tech sales ready. So it is ensuring, because AI is new for everybody. Yes. It’s a muscle, it is a proposition that you have to sell it’s value that you’re selling. I, I love what the gentleman from Lenovo was talking about. It’s, it’s that CSB always on motion. [00:14:21] Alexandra Zagury: Yes. And so really getting very crisp to the end seller at the, at the reseller. For example, at the end, seller at the partner about why Microsoft. Why now, how do I sell and how do I win? And giving them the assets, the competitive battle cards, the, the, the ability to end objection handling all these. Great, we have them. [00:14:45] Alexandra Zagury: I mean, the amount of content we have, but it’s about doing it at what I call precision velocity. [00:14:51] Vince Menzione: Precision [00:14:51] Alexandra Zagury: velocity, right? Which is this concept of how do we get very precise at a persona level. So that we get the velocity of impact. And so I’m, I’m very obsessed with that right now. And there’s two other things I’m very obsessed with, right? [00:15:04] Alexandra Zagury: The other one is this practice building, ensuring that we are together building these AI centers of excellence, um, especially for all our managed partners. This is something that I’ve put on, uh, every single PDM in our org is gonna, is gonna be talking about that. And then the third one is one that I find super interesting, which I think all of us. [00:15:25] Alexandra Zagury: Have a lot of work to do, which is partner to partner. [00:15:29] Vince Menzione: Yes. [00:15:29] Alexandra Zagury: If we look at a customer outcome, thank you. A customer outcome is built of many partners, right? There’s so many different touch points. I think some folks talk about seven partners in, in a customer outcome, and so how do we actually. Use agents, use agent solutions to suddenly unlock this opportunity because most of the time you’ll see an SSP with an si, maybe an ISV in the middle of a transaction to deliver on that customer outcome. [00:16:04] Alexandra Zagury: Yes. So what can we Microsoft do? And I’d love ideas, right? I haven’t cracked this. I don’t think the industry has completely cracked this. It’s more of a, a science than, than, well, more of an art than it is a science today. So that’s the third thing that I, I, I’d love to really improve and, and get better at. [00:16:20] Vince Menzione: I wish you got to see my slide earlier. ’cause I had the seven seats. I had this, I had the seven partners surrounding the customer. Customer is able to make their decisions now because with their cloud commitments [00:16:31] Alexandra Zagury: mm-hmm. [00:16:32] Vince Menzione: They’re in the, they’re in the seat where it used to be. I would rely on the partner to tell me what to do. [00:16:38] Vince Menzione: I, I’m cobbling together the best solution for my organization. Based on the trusted partners, to your point, those seven seats, and that’s partner to partner action. And Jay McBain was here yesterday and he took us through a great example. It’s AstraZeneca, that Microsoft won AWS, thought they were gonna win the deal, and then there were Microsoft partners in involved. [00:17:00] Vince Menzione: And the, the decision was made in December, but the deal didn’t happen until July. And that whole process was because all these different partners showed up. And influence the decision and the solution areas for that customer. [00:17:12] Alexandra Zagury: Yeah, that’s the best example of PLG partner led growth in action, which I think, again, that is the other thing that I’m super excited about is that actually p proving in the AI era that it’s about PLG as partner led growth, not the other PLGI. [00:17:31] Vince Menzione: I love that. I love that. Instead of product led growth, it’s partner led growth. So I understand there’s three layers that you’re very interested in that you want, you were gonna take us through today. Okay. Do you know about this, [00:17:44] Alexandra Zagury: the layers [00:17:45] Vince Menzione: of we have, uh, copilot chat. Oh, yes. 365 and, and agents. [00:17:49] Alexandra Zagury: Yeah. [00:17:50] Vince Menzione: From a product perspective, I thought maybe, [00:17:51] Alexandra Zagury: yeah, sure. [00:17:52] Alexandra Zagury: This is, I mean. This is the, uh, advantage of choosing the market Microsoft platform. Yeah, so as you look, look at it, there’s, there’s definitely different options, but when you look at Microsoft, what’s really, really interesting is that we have all the, all the layers. There’s no AI without data, and we’ve got that data foundation. [00:18:15] Alexandra Zagury: We also have the intelligence data foundation, right? Then we’ve got the, the layer of actually building those AI agents, and then the last layer that we have is actually the experience or the application layer. So when you look at our platform is a completely integrated platform with the different choices. [00:18:35] Alexandra Zagury: We are not behold, beholden to one LLM or another LLM. You’re actually able to bring your data and, and bring the LLM that you want to deliver on the, on the outcomes that you need. And I think that is very, very unique about our proposition. Yeah, I [00:18:50] Vince Menzione: agree. [00:18:50] Alexandra Zagury: But the other thing that is unique, it’s the most exciting product out there. [00:18:55] Alexandra Zagury: Agent 3, 6 5, our own oh oh seven. It really is a differentiated proposition that every single partner can build services around. Starting with your advisory services, tell me customer, what is it that you are thinking of? Then you actually move on to thinking about security because again, just like there’s no AI without data, you have to start with that data foundation. [00:19:24] Alexandra Zagury: There’s no AI without security and no security without ai. And so really thinking through how, uh, agent 3, 6, 5, I love it. I get these claps once a, I love, love really thinking about how Agent 3, 6 5 really unlocks, not only. A security budget, but an observability budget because you can do both. You are talking to both, uh, folks at the customer, right? [00:19:47] Alexandra Zagury: You can actually start talking about how you’re gonna actually govern all of these agents, manage all of these agents, but also there’s the observability layer, which is gonna tell you what actually can you do? How can you actually deliver on the outcomes that we all want from ai, which is productivity. [00:20:05] Alexandra Zagury: Experience and efficiency and all the other things. So I think this is the biggest opportunity this channel has ever seen, and every single partner is gonna have to make a choice on what platform they’re gonna lead with, and we believe it should be ours because it is completely integrated across these three layers with our very own oh oh seven. [00:20:30] Vince Menzione: I wanna get your perspective, but it feels like many of these partners in the MSP community are stuck at that CSP level. We were having this conversation about getting through that, coaching ’em through it. What would your be your perspective on that? [00:20:44] Alexandra Zagury: Um, I’d say, uh, use this moment to unlock that opportunity. [00:20:50] Alexandra Zagury: First off, invest in your skills. Get your, get your team skilled and, uh, on Microsoft, build your center of excellence. Map out your strategy where actually you’re gonna monetize and use all the different assets that we have. And if you are being really, um, I mean, most of them are serviced through a distributor. [00:21:12] Alexandra Zagury: Make your distributor accountable for supporting you in packaging the offers and giving you the, uh, information that you need in terms of skilling. And then in terms of co-selling, again, distributor has a lot of tools that can help you understand how to unlock the co unlock, the co-selling opportunity with Microsoft. [00:21:35] Alexandra Zagury: I think that’s another really big competitive advantage that Microsoft has. When, uh, Microsoft changed what it started by, by, by changing its strategy. I think clarity is kindness. We were very, very clear that where we want, we wanted partners, of course, to play an enterprise with a services stack, but we were very clear that we were betting on a partner led growth in small, medium enterprise, right? [00:22:03] Alexandra Zagury: And so we’ve built our whole operating system. Around that. And so I think it’s really about finding the information that you know you want, planning your strategy, getting skilled and go to market with us. Our co-sell Advantage is very, very unique. It is one of the only companies that has the sales teams completely aligned because CSP is our hero motion. [00:22:29] Vince Menzione: So being with a customer through the journey on CSP, but also renewals are a big component of growth. Talk to us about that. [00:22:36] Alexandra Zagury: Yeah. Renewals are, uh, a machine and an engine that is just absolutely beautiful. It’s your [00:22:42] Vince Menzione: flywheel. [00:22:43] Alexandra Zagury: It is your flywheel. Um, and it is the gift that keeps on giving. We, of course, have a very focused, um, and in fact, one of the things that I’ve done since. [00:22:52] Alexandra Zagury: Uh, since we’ve started, it started a very focused motion in terms of looking at our renewals. We have very specific targets. We, we like to see a renewal at 110% at the moment of renewal. And then we like to see a motion, t plus three, T plus six. That gets us to that a hundred and and 25%. But what we’ve also found out is that this needs to be an always on motion. [00:23:18] Alexandra Zagury: So one of the things that we’re doing is using this concept of precision velocity becoming very rigorous. ’cause we have all the data. Yeah. In terms of what is that next action, and really looking at starting that renewal process, we see that the partners that are able to reach the targets are the ones that start at T minus. [00:23:36] Alexandra Zagury: Six, maybe T minus three, you’re cutting it, but T minus six. And really building that constant motion, getting out in front Yeah. With the customer is really important. And then of course, we now even have these amazing go back motions, uh, with, with our partners where we actually, after the renewal, we go and. [00:23:56] Alexandra Zagury: The renewal was not at the target. We just constantly keep on going. Uh, going back with the, with the partners and we’ve unlocked a, a bevy of data. We, our operating model, we call it the pods, where the PDM sits at the center and orchestrates it with all the different roles that we have. And so we now have a very systematized moment, uh, motion of how to do the renewals. [00:24:18] Vince Menzione: So for the partners in the room, what’s one investment that they should make and what should every partner in the room do differently? Going into, uh, July 1st. [00:24:27] Alexandra Zagury: Well, I think the first thing, remember, CSP is our hero motion, so really for, uh, real, really focused on that. But the one investment, can I say two? [00:24:38] Vince Menzione: Please, please. [00:24:38] Alexandra Zagury: Your time. The, the first one is skilling, right? This is the time. [00:24:43] Vince Menzione: Yeah. [00:24:43] Alexandra Zagury: Technical intensity is super, super important, and really making those investments in skilling not only from a practice perspective, your your, your technical practice, uh, teams, but also from a sales readiness perspective. [00:24:59] Alexandra Zagury: This is a new muscle. It’s we’re all learning how to truly sell outcomes, and so getting your sales teams ready. Is is really important. And then the second one very tied to that is building your AI Center of Excellence based on the Microsoft platform. Because as we go into FY 27, you will see that the partners that prefer and grow with us are the ones that will see the investment come to them. [00:25:28] Vince Menzione: So I want to use the term front. I I, I’ve been avoiding the term frontier firm, but I think it is super critical. Everything I’ve heard today, like you need to be customer zero. You need to get in train, advance on it and go build against it. [00:25:41] Alexandra Zagury: Absolutely. Well, if you had, let me a third, I would’ve said customer zero. [00:25:46] Vince Menzione: You have it? Alright. We have less than a minute. Would you be okay if we ask for like maybe one question? Yeah, absolutely. We’ll do like one, maybe two. So good to have you by the way. Thank you, Vince. So nice to have you here. [00:26:04] Vince Menzione: I think we did such a good job. Oh, here we go. Here’s, here’s fun. A mic is coming your way. [00:26:20] Vince Menzione: Thank you. Here we go. Okay. [00:26:22] Guest: So we’ve been very keen on, um, skilling our people, and I still find it very hard to get all of the information out of Partner Center to get a complete global view. Are you and your team thinking about maybe having an MCP server access and having a real portal working with that data? [00:26:41] Alexandra Zagury: You just touched on one of our areas of improvement. Absolutely. In fact, um, thank you for, stay tuned for holding us accountable to that. That is definitely one of the things that we’re working on is how to integrate skilling hub into partner center. Right. As most of you will know, there are it Qs, and so that’s one of the things that we are definitely prioritizing, but thank you for holding me accountable to that one. [00:27:09] Vince Menzione: Awesome. [00:27:13] Vince Menzione: We have one more back here, David. I see. We wanna see how fast they can move that microphone across the room. Relay system here. The relay team. There we go. [00:27:25] Guest: That was excellent, Alexander. Thank you. And welcome. [00:27:28] Alexandra Zagury: Thank you. [00:27:29] Guest: Can you point to a specific example? ’cause I think it’s so critical what you highlighted just the skill piece and the customer outcomes piece. [00:27:35] Guest: Right. Can you point to a specific example of a story that you really love that highlights, uh, customers lighting it up with ROI. [00:27:44] Alexandra Zagury: Yeah, I think, you know, we’re, we’re, we’re a platform, so I just saw a win wire. Like at Microsoft, we get these win wires all the time about how an SSB actually won a, a deal against one of these big AI only companies. [00:28:00] Alexandra Zagury: And it was really about selling the full platform, right? Yeah. Because if, if you, if you put a full platform against an LLM proposition, I mean, the full platform really stacks up because it’s completely integrated. It’s not behemoth to one, you’re not making a bet on one company. And it really highlighted our mantra around trust and intelligence. [00:28:24] Alexandra Zagury: The customer was able to see, they, they were an M 365 customer, so all their iq, all their intelligence was already there. They knew that they, there were guardrails against it. They had a problem with shadow ai and by actually standardizing on copilot and going on that journey from copilot paid to agents, they sue the, they saw the full, uh, value proposition. [00:28:49] Alexandra Zagury: And so we won that deal and it was one of the. First E seven deals that we won, so it was great. [00:28:55] Vince Menzione: Fantastic. Great. Congratulations. [00:28:57] Alexandra Zagury: Thank you [00:28:58] Vince Menzione: Alex. I am so honored and thrilled that you got, you chose us to be your I I would say the first big Yeah, absolutely. Presentation in front of the partner community. [00:29:07] Vince Menzione: I’m so excited to have you. [00:29:08] Alexandra Zagury: Thank you [00:29:09] Vince Menzione: guys, and hopefully many more times ahead with us. [00:29:10] Alexandra Zagury: Absolutely. Invite me at anytime. [00:29:12] Vince Menzione: Okay. Well, thank you [00:29:13] Alexandra Zagury: so much. [00:29:14] Vince Menzione: Thank you. So great [00:29:15] Alexandra Zagury: to have you. Thank [00:29:16] Vince Menzione: you so much. Thanks for listening to The Ultimate Partner Podcast. If today’s conversation resonated, share it with a partner leader in your network. [00:29:26] Vince Menzione: Subscribe where you listen, and head over to the ultimate partner.com. For show notes related content and the resources for this episode. And if you haven’t already, now’s the time to register for the Ultimate Partner Live Event in Reston, Virginia, October 26th through October 28th. Until next time, keep showing up in the rooms that matter because being in the room changes everything.

Amazon put up $200.6 billion in second quarter net sales and still ran negative free cash flow. Rick Watson and Jessica Lesesky work through the quarter Amazon would like read as a straight growth story.The reported numbers: net sales up 20 percent, income of $27.5 billion, advertising up 26 percent to $19.8 billion, online stores up 15 percent to $70.4 billion. Trailing twelve month free cash flow came in at an outflow of $7.6 billion. Sitting alongside all of that is $53.4 billion in non-operating pretax income, a good portion of it paper value on Amazon's Anthropic position.Then the $496 billion AWS backlog, which is a commitment for future compute rather than cash in the account. Amazon says those commitments run out to 2028 and it cannot build fast enough to meet them. Rick's read on the strategy is that Andy Jassy has stopped treating the frontier model as the prize. Models end up looking like programming languages. Plentiful, commoditized, and somebody else's problem to fund.Grocery gets its own segment. Amazon calls itself the second largest grocer in the United States and says fresh items are six of the top 20 best sellers on the site. Jessica's read is that a lot of that volume is bananas and avocados riding along on Prime orders people were already placing. Real frequency, real habit, and not the thing that keeps Kroger up at night. Amazon now has 2,300 delivery locations handling perishables, which is the part of the story that actually changed.Also on the show: sponsored prompts. Rufus moved out of the spotlight, Alexa moved in, and advertisers can now bid on the suggested prompts shoppers tap on a product page. Amazon says shoppers who engage with those prompts spend 21 percent more. Rick calls it evil genius and silly at the same time, and makes the case that it works better on Amazon than the equivalent inside a general chatbot, because people arrive already shopping.The Watson Weekly Weekend episode is sponsored by Avalara. Learn more at avalara.watsonweekly.com#watsonweekly #amazon #aws #andyjassy #q22026

Phil Le-Brun, former McDonald's VP and International CIO and current AWS leader, shares how companies can avoid common “anti-patterns” like excessive bureaucracy and rigid structures, and defines what "artificial ownership" is, and how it can erode team creativity and cohesion.Hear Phil's full interview in Episode 506 of The Action Catalyst.

What does an AI-native CI look like? The Semaphore team joins me to talk about their focus on making your agent harness the gateway to testing, fixing, and deploying your code.Video podcast version here: https://youtu.be/HzXAdtVrW70★Show Links★Semaphore https://semaphore.io/Semaphore open source https://github.com/semaphoreio/semaphoreSLSA Security Checklist https://slsa.dev/Creators & Guests Marcos Filipe - Guest Cristi Cotovan - Editor Bret Fisher - Host Beth Fisher - Producer Marko Gaćeša - Guest (00:00) - Introduction (00:29) - AI Native CI Vision (04:54) - Bret's Update (09:03) - Semaphore AI Journey (22:39) - Open Source Platform Shift (37:28) - Plugins CLI MCP Skills (43:11) - Work Until CI Is Green (45:42) - Test Boxes and Agentic CI Loop (57:39) - Sandboxing and Least Privilege (01:10:12) - Roadmap SLSA and Getting Started

Sponsored by Blocks: Save at least 20% on your AWS costs with AI-powered optimization and enterprise discounts. Get your free Cloud Check at https://blocks.cloud/alphalist?utm_source=alphalist&utm_medium=podcast&utm_campaign=blocks-podcast-2026 Dana Lawson's path into tech started with backup tapes, not a keyboard-in-the-womb origin story. She joined the US Army in the late '90s, automated her way out of manual password resets, and went on to become VP of Product Engineering at GitHub before taking the CTO seat at Netlify. She joins Tobi to make the case that "writing code is no longer the job", an argument from her own New Stack article that lit up Hacker News, and one she doesn't back away from here. The conversation explores why trust in AI agents may eventually become automatic, the same way our trust in cars we can't repair ourselves already has. Dana explains why Netlify is designing for "agent experience" alongside developer experience, and why the engineer's role is shifting from writing every line of code to defining architecture, guardrails, reliability, and safe user experiences. CTOs will walk away with a sharper way to think about where human judgment still matters versus where it's already been commoditized, including the tension between speed and control, whether developers risk becoming the bottleneck, and why the real constraint may be moving from "can we build it?" to "does anyone actually want it?" What's covered: - Dana's path from the US Army to VP of Engineering at GitHub to CTO of Netlify - Why she argues "writing code is no longer the job" and the Hacker News backlash - The self-driving car analogy for trusting AI agents - What "agent experience" means and why Netlify designed for it - Craftsmanship, control, and the shift from writing code to defining guardrails - Whether developers risk becoming the bottleneck in the agentic era - Why the constraint is moving from "can we build it" to "does anyone want it"

Siemens says a small manufacturer can start production optimization for $2,000 a year. Martin Valkysers and Flemming Kongsberg explain what that buys you.Most digital transformation advice assumes a budget and an engineering bench most plants do not have. Flemming Kongsberg, who runs the SMB focus inside the Siemens CTO organization, discards the usual revenue and headcount definitions: an SMB is any manufacturer without the skills to absorb a complex digital change, and that includes some very large companies. He describes one customer running 900 devices across 17 locations where 90 percent of the machines are 30 years or older with zero connectivity. Siemens research also found 40 percent of SMB customers have no IT department.Martin Valkysers frames Siemens Xcelerator as the open digital business platform tying hardware, software, data, and services together, with more than 600 partners today. The SMB starter package is where that becomes concrete. Instead of asking a plant with no IT staff to assemble something from hundreds of apps, Siemens curated roughly 10 to 12 into one bundle covering device connectivity, Performance Insight dashboards for OEE and quality, and a slice of Mendix. A partner installed it in a lab in 24 minutes on an ordinary Windows machine, against the roughly 60 hours a traditional Industrial Edge deployment takes. It is $2,000 per year for three machines with the first three months free, and PROFINET, Ethernet/IP, and the standard protocols are supported, so competitor PLCs connect too.The most useful argument here has nothing to do with buying anything. Flemming makes the case that reaching for AI before you own your data is a losing move, because a model built on information everyone else can reach produces no strategic advantage. You also do not need AI to build a Pareto chart of where your quality losses sit. Martin adds the discipline that gets skipped most: be clear about the problem before you pick the tool.About the GuestsMartin Valkysers is Head of US Market Launch and Growth for Siemens Xcelerator, Siemens' open digital business platform spanning industrial, building, grid, and manufacturing sectors. He has been with Siemens roughly 12 years, previously leading a US operations consulting team focused on lean manufacturing.Flemming Kongsberg leads Global Technology Partners at Siemens Digital Industries Software and runs the company's SMB focus in the US. Before Siemens he spent nearly eight years at Amazon Web Services building partner infrastructure and strategic ISV alliances.Timestamps0:00 Introduction2:20 Martin Valkysers on his path to Xcelerator4:20 Flemming Kongsberg from AWS to Siemens SMB7:10 Four challenges facing manufacturers13:40 Why data comes before AI18:00 What Siemens Xcelerator actually is22:30 Partner ecosystem: build, service, sell31:40 Inside the SMB starter package35:50 What the package costs38:20 A 24 minute install and non Siemens PLCs45:50 Redefining what counts as an SMB53:50 The future of industrial marketplacesReferencesGetting Started with Production Optimization: https://www.siemens.com/en-us/products/industrial-edge/production-optimization-get-started/Operational Efficiency Pack for Small Manufacturers: https://news.siemens.com/en-us/siemens-small-manufacturers-operational-efficiency-pack/This episode is sponsored bySiemens is a global technology company operating across industrial automation, digital software, smart infrastructure, and mobility. Siemens Xcelerator is its open digital business platform and marketplace.https://www.siemens.comAbout Your HostsVladimir Romanov is a co-host of The Manufacturing Hub Podcast and the founder of Joltek, an independent manufacturing and industrial automation consulting firm specializing in modernization strategy, digital transformation, and workforce development. Joltek works with manufacturers and investors to de-risk modernization and build the internal capability to sustain results.Connect with Vlad: https://www.linkedin.com/in/vladromanov/Want to go deeper? Vlad and the team at Joltek have covered related topics here:Digital Transformation in Manufacturing: https://www.joltek.com/blog/digital-transformation-in-manufacturingEdge Computing and the AI Value of Manufacturing Data: https://www.joltek.com/blog/edge-computing-ai-value-manufacturing-dataDave Griffith is a co-host of The Manufacturing Hub Podcast and founder of Capelin Solutions, an industrial automation firm helping manufacturers adopt smart manufacturing technology. He brings 15 years of experience in industrial automation and digital transformation.Connect with Dave: https://www.linkedin.com/in/davegriffith23/Subscribe to Manufacturing Hub: https://www.manufacturinghub.liveLinkedIn: https://www.linkedin.com/company/manufacturing-hub-networkYouTube: https://www.youtube.com/@ManufacturingHub

Daryl Peterson is a SCWI and the District Director for District 5 of the American Welding Society. This week we  hop in the way back machine to revisit a very controversial topic in the welding Industry. We often hear about welders claiming to be "Certified" and then getting called out on social media as being "Qualifed" not Certified. Well, Daryl has done some deep digging through the different codes and standards and has come up with an answer that will hopefully settle this debate.  For more information on the AWS and their programs, check out their website AWS.org

Tyler Lynch, Outbound CTO at IBM, joins the show to discuss shifting from “tokenmaxxing” to “valuemaxxing” by optimizing AI agent workflows for efficiency. They explore using Obsidian for persistent agent memory to combat context bloat, the critical importance of secure sandboxing practices, and the strategic use of parallel verification to ensure your agents are performing... Read more »

Wasim Osman: How Agile Teams Can Start Adopting AI in Software Development Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes.   "It's like my own software has a voice now. It's telling me—okay, you're going to build me like this? Have you considered this?" - Wasim Osman   Wasim's biggest current challenge is one nearly every team shares: how AI is reshaping software development. He sees a clear split—developers rapidly adopting AI-driven development, and others "not downright rejecting it, but still taking their time." His warning is blunt: even when AI hallucinates and generates garbage code, it lets you deliver an order of magnitude faster, and the quality is only going to improve. The early adopters are heading somewhere the late adopters won't be able to reach. In practice, the resistance shows up as questions no one can answer: if I used to get every requirement nailed down before writing code by hand, what do I do with AI—just ask it for a one-liner and hope? Leadership often can't help, because they lack AI experience themselves. At Orkestra SCS, the head of engineering did holistic research into how companies (like AWS, with its AI-Driven Development Lifecycle) are reshaping the process, documented it, and shared it with every team. Feedback sessions and hands-on experiments followed, until they built a tailored version that fit how they actually work. The mindset shift that unlocked it: treat AI as a partner. Wasim describes his software "having a voice"—asking him questions he'd never think of, the way a pair-programming partner would, so the team explores the solution space instead of guessing at it.   Self-reflection Question: Is your team treating AI as a threat to write around, or as a pair-programming partner that surfaces the blind spots you'd never find alone?   [The Scrum Master Toolbox Podcast Recommends]

August 12, 2026: Your daily rundown of health and wellness news, in under 5 minutes. Today's top stories: Hims CEO Andrew Dudum says the company plans to offer approved peptides by year-end, leveraging 19% subscriber growth to 2.9 million as a distribution channel Abbott's Lingo glucose data integrates with Google Health's AI Coach, joining Abbott's Whoop investment and Lilly's Oura stake in the race to connect health data AWS becomes Novo Nordisk's strategic AI partner, launching a joint hub as Amazon's Bio Discovery platform accelerates drug development alongside NVIDIA and OpenAI Today's episode is brought to you by AIIR — a modern communications and experiential agency for health, wellness, fitness, and performance brands. From earned media to events and creator-led campaigns, AIIR helps companies sharpen their story, earn attention, and build trust that compounds. Visit https://aiir.agency to learn more. More from Fitt: Fitt Insider breaks down the convergence of fitness, wellness, and healthcare — and what it means for business, culture, and capital. Subscribe to our newsletter → insider.fitt.co/subscribe  Work with our recruiting firm → https://talent.fitt.co/ Follow us on Instagram → https://www.instagram.com/fittinsider/ Follow us on LinkedIn → linkedin.com/company/fittinsider  Reach out → insider@fitt.co 

Tyler Lynch, Outbound CTO at IBM, joins the show to discuss shifting from “tokenmaxxing” to “valuemaxxing” by optimizing AI agent workflows for efficiency. They explore using Obsidian for persistent agent memory to combat context bloat, the critical importance of secure sandboxing practices, and the strategic use of parallel verification to ensure your agents are performing... Read more »

After eighteen years away from the Pacific Northwest, former AWS tech marketer Alexandra "Alex" Friedman returned home to find that professional achievement was no safeguard against profound urban isolation. Confronting the notorious "Seattle Freeze" and the reality of adult loneliness, she began inviting strangers to rooftop dinner parties. That grassroots experiment quickly evolved into Connection Feast, an international community platform and friendship coaching methodology that has brought thousands together for semi-structured, authentic connection.In this episode of If You've Come This Far, Alex joins Chris and Shaun to dissect the mechanics of modern belonging. Moving beyond superficial networking and high-pressure dating paradigms, Alex shares why authentic community requires intentional friction, how somatic awareness disarms our biological fear of rejection, and why building platonic intimacy—especially among men—is essential for mental health and personal fulfillment.Key Highlights"Connectivities" vs. Dating Pressure: Why structured, action-oriented activities create psychological safety and draw men into deeper conversations far more effectively than traditional mixers.Boundaries Create Freedom: How establishing curated dinner themes and structured conversational rules helps introverts bypass small talk and open up quickly.Customer Obsession to People Obsession: The catalyst behind leaving big tech to build a business around social health and relational infrastructure.The Evolutionary Logic of Rejection: Why social exclusion feels like physical danger to the nervous system, and practical somatic tools to regulate through anxiety.The Danger of Frictionless Connection: Why AI chatbots and one-sided digital interactions cannot substitute for the messy, indispensable growth of real-world relationships.The Solo Strategy: Why showing up alone to recurring, shared-goal groups over 3–6 months is the most empirical path to making lasting adult friends.Resources MentionedSubstack: Come A Little FurtherConnection Feast: ConnectionFeast.comU.S. Chamber of Connection: ChamberofConnection.orgMenLiving: MenLiving.orgThe Path / Mental: GetMental.comLiterature & Media: Bowling Alone (Robert Putnam / Pete Davis documentary)

According to Gartner, worldwide AI spending is forecasted to increase 44% by the end of 2026. Companies are investing in AI, and they are investing heavily. But knowing where and how to invest isn’t easy, especially with what feels like a million different AI tools out there and a million more different ways to build your own. So how do you figure out what to build, what to buy, and which investments will help you move the needle for your business? Riley Rogers: Hi, and welcome to the Win/Win Podcast. I’m your host, Riley Rogers. Join us as we dive into changing trends in the workplace and how to navigate them successfully. Here to discuss this topic is Cody Sims, head of commercial brand at Cox Communications. Cody, thank you so much for joining us today. Super excited to hear your thoughts on this one. Before we dive into what is quite a loaded topic, could you tell us a little bit about yourself, your background, and your role? Cody Sims: Yeah. So, hi, I’m Cody. I’m the head of commercial brand for Cox Communications, and it’s kind of crazy how I came into this role. So I actually started my career when I was 15 and was installing phone systems for my dad’s phone company. And after that, I had actually had two parts of what I thought was what I wanted to go into, and that was either musical theater or physics, because those were two things I really had a passion about. And when I got into college and had musical theater as my major and physics as my fallback, I realized that both of them left a part out of what I really enjoy. And so I ended up actually landing in marketing because it’s both analytical and creative, and that has served me really well over the years. So, across Cox, I have done all kinds of things from product management to market development to pricing to competitive analysis, and now in the brand world. It’s given me kind of a 360 view of the entire business from a marketing lens. I would say that I’m pretty much a transformation leader. I really enjoy breaking things and building them up new again. So, AI is happening right at the right time for me. RR: I love that story, and I love that it’s taking you to a place that especially now is getting more and more technical, more and more analytical. I’m very excited to get into that transformation leader side of things. But before we do, can you paint a little bit of a picture of your sales environment? CS: Yeah. So when I first came to Cox, it was very similar to most of what you would call a CLEC, or a competitive local exchange carrier, which is primarily internet service, voice services, and obviously because it was Cox, some cable TV services that were the triple threat. That was kind of what in the early 2000s was kind of the way that they went to market. But over time, the team at Cox realized that in order to stay competitive, they had to add to the portfolio to make sure that they were providing value to their customers, and I’m sure many would understand that and have gone through similar transformations. And so we had acquired several different other companies that added to our portfolio, and developed some of our own products, and over time that turned into a lot of products. But it’s not just 70 products. It’s 70 products, it’s nine customer segments that we have from a segmentation perspective. It’s six distinct buyer personas, industry verticals, what’s serviceable at that address. So you take all of these different components and it’s almost like three-dimensional chess for the salesperson. The way that I like to think about it is that the sellers, what they really need and what their challenge is, is that they’re not looking for specs. They’re looking for what are the business outcomes that my customer is trying to achieve, and then what do I have from my portfolio that will help them to achieve those results? So it’s no longer a world where they can memorize everything and know every product in and out, and be the technical expert. They really do have to have tools and systems that help them to have the right knowledge at the right moment for the right person in the right place. RR: Yeah, there comes a point when the human brain just can’t contain the context and the expertise that you need. So when you can’t ask for expertise, what you can do is provide, to your point, that just-in-time support. And one of the things that you alluded to was that that’s where you kind of started some of that AI investment as a way to bridge that gap. You’ve given us a little bit of a taste, but what kind of motivated that early initiative? CS: Well, I would say that, over time what we discovered was that we couldn’t keep track of all of our marketing materials, collateral, all of the pieces of information in just files, formats, and putting it online into a here’s-an-accessible-library. Because the library just becomes bigger and larger and more difficult to manage. But I would say that we didn’t set out to do AI. We didn’t sit down and say, “Oh, hey, AI looks cool. Let’s make sure we’re doing it.” We needed to transform our go-to-market strategy so that we were more nimble, we were more competitive, and that we could deliver the kind of experience that our customers were asking for. And so AI was the mechanism that would help us to get there. But what really triggered this whole thing was what I mentioned earlier, was our segmentation. When we sat down and said, “Let’s rebuild the way that we look at our audience segments,” and we did that based off of what is the value to Cox of each of these customer profiles, and then what is the technology sophistication of that client, of that business. And that intersection allowed us to create our nine different segments that we were working on. And so when we did the math, when we looked at all of that information and all of the things that we needed to be able to provide to those segments, we realized this was quickly going to turn into something that was far beyond any marketer’s ability to do. But what we knew is that the Gartner information we were tracking said that personalization was having much higher returns on the way that people respond to information. And not only that, but if you do personalization and you get it wrong, if I call you and I say, instead of, “Hey, Riley,” and I say, “Hey, Jonah,” you’re like, “Hmm, nice try.” So personalization is really important to being successful, but getting it right is even more important. So we realized that we needed to have some radical partnership between our marketing, AI, and sales teams, that we needed to make sure that this was not just an IT project, that we were going to go and pull a bunch of requirements together and everybody would be like, “Oh, hey, here’s this new tool. Everybody figure out how to use it.” And it wasn’t necessarily about optimization. It was about transformation, the way that we go to market, the way we think about our customers, and the way we show up. So I would say that AI definitely was part of the solution set, but we had to look ourselves in the mirror and say, “It’s time for us to actually think about this in a completely different way.” RR: That distinction comes through very well, and I think is very important because oftentimes when you’re in kind of the scramble to be keeping up with the market, keeping up with your competitors, there is this urge to just tack on AI because we have to. But when it’s not strategic and it’s not built into the things that you’re actually doing, to your point, it’s we put together some specs, good luck using it. But instead, now it’s something that’s really built into the way that you work. I would love to hear a little bit more about that specific use case, especially given the fact that a lot of teams are running into that question of how do we use AI and can we just build what we need ourselves? Given that you’ve done the math, answered the question, I’d love to hear how it worked and kind of where you landed. CS: It’s very easy to fall into the trap of, “Hey, everybody, here’s AI. We put it on your computers, now go use it.” And so then everybody starts using AI to try to figure out, how does this help me in the job that I already do, in the role that I already do, in the processes that I already do? And so then it really limits the impact that it can have on the business and the performance because either, A, you have a handful of people who are really smart, and they go crazy with it, and they create their own thing, or you have a bunch of people who are looking at it going, “Okay, came up with some ideas, but I still have to do my work.” What you end up with is there’s no standard. There’s no flag running up the hill to say, “Everybody follow me. Let’s go do it this way.” So, it required both the yes, we had to make sure that the teams were bought into using AI, but we also had to have a standardized way of approaching how we deploy AI. And that brought us to the question of do we buy or do we build? And because there were so many different parts of what kinds of functionality we needed, it wasn’t the same answer for every one of those needs. So in some cases, we have a tool, we have a partner, they already have AI integrated into their platform, let’s go see how we can use that. In other cases, and I’ll give you an example, in the case of content generation, that is where we started with our AI journey about a year ago. We sat down and started interviewing and reviewing all of the different providers who can do content generation. Every one of them had a different approach to content development, content generation, which were all very good, and they attempt to make sure that they are covering as much of the marketplace as possible. And so sometimes when you buy that, you end up with features maybe that you don’t need, and you also have to still go through the process of integrating those platforms into your security posture. So us being a connectivity provider for governments, for major corporations, enterprise carrier grade, we have a very, very strict and strong security policy, which means that when we bring new vendors on, it takes a lot of time and a lot of effort and a lot of back and forth. And so what we found in certain cases, it was actually better for us and more beneficial for us to build the actual platforms that we needed for that particular use case. But like I said before, in other situations, we found that there was a partner who we had who already had AI integrated into their platform, and so they were already part of our security posture. They were already inside of our ecosystem. So the question of build versus buy really had to do with time, had to do with return, and it had to do with the security measures that we had to put in place. RR: Thinking about in addition to those factors, when you’re evaluating these things that you outlined, time, potential cost, security, how are you kind of doing that ROI math to say one is going to be better than the other? CS: There’s several different parts of that. And like I mentioned, we wanted to make sure that we were following our AI strategy foundation that said, we don’t want to introduce more and more vulnerable access points. And so it’s important for us to make sure that we are all coming together with everyone across the Cox leadership team according to who are the vendors that we feel the safest with, that we can go set up and make sure that we are pulling together the best of the breeds. The assessment, like I mentioned before, is what is the value that we’re returning to the business in terms of revenue generation, new customers, cost savings in terms of not necessarily just reducing people’s time, but redeploying people to doing other important tasks. And then what are the things that we are doing that help us to keep the system all working together? So, revenue generation, cost deferment, and then keeping a cohesive connection between all of the different platforms. So some of the things that we looked at from our comparing vendors versus doing DIY, is there a maintenance tail that goes in this? So if we build it, what does that look like in 18 months? How much more people do we have to have to support it? Governance and observability, do we have the permissions, the versioning, the audit trail, all of the parts for discovering what is needed and then able to see it and observe it as we go? Interoperability, as I mentioned before, really important between different platforms that we have, that those APIs and MCPs all work together. And then whose roadmap is this? Is this our roadmap? Is this the IT roadmap? Is this the vendor’s roadmap? If we know where we need to go, is there anything that’s getting in our way of being able to get there? And then of course, obviously the speed to value against the cost of being wrong. RR: And so hearing you outline this very comprehensive list of considerations, you can start to understand why it starts to feel complicated and really hard to tackle. To your point, it’s been a year of figuring it out since you started developing that very first use case. I’d like to go into a little bit of detail about the evaluation piece and deciding what vendors you felt safe with, that you were excited to partner with and continue to either use or build upon as you’re developing your AI strategy in alignment with your business transformation. One of those that you landed on was using Highspot’s MCP server to support some of the workflows you wanted to spin up. How did you make that decision and why did that feel like the way to go? CS: Well, as I had mentioned before, as we had gone through our history of, here’s a library of a whole bunch of stuff and everybody’s trying to find the right item, and it just was such a headache to make sure that we were always getting the right information to the right customers at the right time. And not only that, but we had no real clear feedback about how it was performing. And so at that time, which I believe was in the 2015 to 2017 timeframe, is when we had first started our relationship with Highspot to help us better catalog the library, make it more searchable and usable and referenceable for the sellers to be able to share information and track the information, make sure that it was the most relevant and recent, and then help us to understand what’s working and not working. So all of that was already in place before we even started the AI conversation. And so as we were doing our work around our go-to-market roadmap, we started with content because it was probably the easiest place for us to use AI to generate content, and that looked like a two-layered approach. We had what we called a knowledge base, which is formally putting into AI rules that can be read by AI around all of our standards for brand, for legal, for segment definition, for product information, for pricing and promotion information, industries, verticals. All of that was put at this knowledge base foundation layer. And then we built the content generation engine on top of that, where each of the agents within that tool would go find what it is that the marketer was asking to do, compare it against all the information in the knowledge base, the brand standards, all of those good things, and then produce the content piece that the marketer was asking for using that foundation layer. However, once we got that moving and going, we realized that that level of personalization for marketing could be even more valuable and even more specific when used by a seller. But in order for that to work properly, the seller had to have access to a large range of information all at the same time, including any of the buying signals or online signals that we had through some of our lead generation partners, any of our information that we have within our own systems, like when was the last time they called into billing or when was the last time that they had an outage or what is their general sentiment that the customer has right now. And then all of the information about their current services, their current products, all the things that are going on in their world. But then once we have all of that information, we have propensity to buy, propensity to churn, propensity all these modeling, now we need to be able to talk to them and provide a recommendation to the seller that says, “Here’s what we recommend you use, what you should say, how you should set it up.” And all of that was inside of Highspot. And so we realized again, we could look at this and say, “Are we going to go buy a new platform? Are we going to use a platform we already have or are we going to go build something new?” And obviously when we looked at the Highspot platform, the MCP servers, and the way that it was laid out and set up already, we knew that that was the right path to go. So what we had started with was the content engine, then we went into a sales enablement engine, and as part of that sales enablement engine, the only way for it to work properly was for us to bring in the Highspot MCP service. RR: And how has that been working so far for your sellers? As you’ve rolled this out, how has it been used? Any anecdotal feedback you’ve heard? CS: It’s pretty funny because we have done multiple rollouts of sales enablement platforms over the years, and as anyone who’s ever tried to roll out new sales items and new sales tools will say, it takes time, it takes consistency, messaging over and over. But in this particular case, when we went out and did our roadshow with all of the sellers and sat down and showed them how the new tool worked, there were so many positive responses, and the adoption was much faster than most of our previous releases of other types of products. And I think that the reason why is because it was bringing together all of those pieces of information that I mentioned before and bringing in the Highspot information that they were already very familiar with. And in our world, we call it the sales asset manager, SAM. And so they were very familiar with SAM and then this new tool with the AI capabilities built into it. Now it’s specifically just telling them, “Here’s what you should do. Here’s the way to lay it out, and here’s all the content to talk to the customer about in what order.” And it took a lot of the burden off of them to research, go find a piece, start to build a story in their head, try to build a deck, and then think about what are they going to share with them in what order. So it’s been a huge benefit to the sellers. They’ve loved it. RR: Yeah, that’s such a strong signal when adoption doesn’t feel like a push and more of a grab. Curious if there are any other AI or agentic connectors that you’re pairing with Highspot in another AI application that you think would be interesting to share? CS: We have basically six different programs or parts of our roadmap, and we’re calling them AI modules, and then they work together in different components for different functions that need to be done. So as I mentioned, we have the knowledge base that is the base. Then we have the content creation tool, which we call CAMI. So it’s Content Automation Marketing Intelligence, and that has everything that is needed to produce and create new pieces of content, and then those content pieces are either generated in emails or things like that. A lot of them actually are put into the Highspot tool. And then we have what we call SAMI, which is the Sales Automation Marketing Intelligence, and that is the tool that integrates directly with Highspot to make the recommendations to the seller based off of all of the other information, the 360 view of the customer. We also have what’s called Livia, which is the Lead Validation and Enrichment. The tool uses all of these multiple different access points and different vendors to pull information about that particular contact to validate that it’s accurate, so that by the time it gets to the seller and they’re going to go do a pitch, they have a lot more confidence that who they’re talking to, the business, and it’s at the right address, and prevents them from wasting time. And then, of course, Highspot is such a critical part of how that story all comes together because it’s capturing all the content that’s being created by CAMI, and then the AI that comes from Highspot is infusing into the SAMI tool that the sellers are using. It’s an interesting thing because somebody might say, “Well, you’re not really using Highspot, you’re using SAMI.” And the reality is, well, yes, I am using Highspot because Highspot is feeding all of that into the SAMI tool. There’s a whole bunch of other stuff we add into that for flavoring, all of the information about the customer so that the seller has a 360 view, but that just sets it up. The what do you do next is what’s coming out of Highspot. The next phase of this that we’re going to is a fully agentic approach to our marketing and sales engine. And what that means is that today, most of the work that’s being done is a marketer who is saying, “Here’s what I need to go get done. I’m going to use AI to help me go do it.” We’re going to flip that script, and we’re going to say, the agents that we create are going to do the work, and the marketers are going to instruct the agents on how to do that work properly and watch it and govern it. That will then accelerate for the sellers as well. RR: We’ve heard a little bit about what’s been built in the last year, but it’s, again, to your point, crazy that that’s one year of building, thinking, strategizing, and it’s come to this point. When you look across all of that, what has changed for your sellers and for the business? CS: Well, I would say the first thing is, is that sellers are now able to focus on what they’re really good at. What I mean by that is their confidence is shifted to focus on outcomes and value. They are now able to build trust and provide value, which is honestly what all of our customers, especially our business owners and decision makers are looking for. And then for the marketers, it’s no longer about building a queue, trying to figure out what is the message that’s going to hit the most people with the most response. This idea of efficiency for media or efficiency for marketing materials. It’s like, what is the one message I can send to a million people and have the most response? Well, now you actually can flip that on its ear and say, “I’m going to personalize it at scale.” So that is super exciting. And then the last thing that I would say is that consistency became structural. The same knowledge base, the same rules across every surface, making sure that our content is clean, correct, built on the same policies and rules, but is personalized. Doing those two things at the same time is very tricky, and being able to do it with AI is the only way we could get there. RR: Curious if you’ve seen any sort of measurable returns. CS: Our lead accuracy, like I mentioned before, moving from that 13 to 18% all the way up to the 95th percentile. We have campaign speed to market of improvement of 55%, meaning the amount of time that it takes us to get to market is cut in half. The marketing content teams are 40% more productive, which means they’ve been able to redeploy their time for 40% of the time that they spend at work on other projects, which is amazing. Our conversion rates are up, our driving net new revenue is up, and we have seen material improvement in click-through rates and conversion rates when we are more specific and personalized to the audience. So Gartner was right. Yay. So that’s been really good. And I would say that part of the reason why I think that, at least for part of what we did, doing it as a build ourselves was wise, is because we learned so much by going through the process of just banging our shins on the corners and running into cabinet doors that were open, and we’re just like, “Oh, wow, that was, I did not see that.” So it’s been a huge learning process, a very, very intense learning process, but we’ve all had a really good sense of humor and amusement and just, we are having a ton of fun. RR: And I think that’s one of the more encouraging things to hear. Is that nobody starts perfect, and you just have to build your way up to good. And once you get there, you start to see again, like those measurable improvements. But it is a process. So I guess the message there is stick with it. Which I think kind of feeds into that last question I have for you, which is for anybody who is running into this question, hitting their shins on all of these problems, how would you recommend they approach the question of building, buying, blending some things together when they’re thinking about their AI investments? CS: Well, I would say the first thing is you have to look in the mirror and be real with yourself and say, “Is my processes and workflows working? If I blew up my entire go-to-market, I blew up all my processes, what would it look like?” And don’t start with a tool. Start from a place of what would serve me best. The other part of it that I would say that Highspot did really well is because of the MCP product, I was able to look at it as how am I using this from a plumbing perspective, not just a judgment perspective. And what that means is that it worked well with the strategy and the AI strict rules that we had built for ourselves. Highspot, kudos to Highspot, built a platform that is trusted and that works well with all of the other components that we had flying around, whether it was Salesforce or AWS or even our Accenture development team being able to use the components and pieces to connect to the whole ecosystem. Then the other thing I would say is that even though we’ve been doing this for a year, a year is like eons in AI’s time. It was every other week there was something that changed, something new, something shifted. So you have to go into it with this idea of you have to prepare yourself that this is how I set it up now, but I might have to change it tomorrow, and just be okay with that. So my answer for build or buy, my answer is both. Build the things that make sense for you and where you have the resources and when it’s the right fit. But definitely buy when you are in a partnership or when you have someone that you already know that you can trust. RR: Very pragmatic. That’s kind of the only way to do it. One thing I’ll say, I know I am walking away inspired, and I can imagine our audience is going to as well. So Cody, thank you for the time. I really, really appreciate it. It’s been so wonderful to hear a little bit more about what you’re building. CS: No, I love it. And the reason why this is great for me is that it forces me to think back on this journey that we’ve been on for the last year and really consider what is it that has brought us to where we are, what are the things we’ve learned, and then, maybe how are my bruises doing? RR: Well, thank you for the time again. And to our audience, thank you for listening to this episode of the Win/Win Podcast. Be sure to tune in next time for more insights on how you can maximize go-to-market success with Highspot.

Tyler Lynch, Outbound CTO at IBM, joins the show to discuss shifting from “tokenmaxxing” to “valuemaxxing” by optimizing AI agent workflows for efficiency. They explore using Obsidian for persistent agent memory to combat context bloat, the critical importance of secure sandboxing practices, and the strategic use of parallel verification to ensure your agents are performing... Read more »

My guest today is Eric Vishria, a General Partner at Benchmark.  Eric has spent his career in software and cloud, and few people know the history of these markets as well as he does. What makes him special is his ability to use that history to make sense of today.  We discuss what the rise of AWS teaches us about AI, what he has learned from investing in Fireworks, Sierra, and Cerebras, and how the criteria for winning have changed for founders and investors.  Please enjoy my conversation with Eric Vishria. For the full show notes, transcript, and links to mentioned content, check out the episode page ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠.  ----- Become a Colossus member to get our quarterly print magazine and private audio experience, including exclusive profiles and early access to select episodes. Subscribe at ⁠colossus.com/subscribe⁠. ----- ⁠Ramp's⁠ mission is to help companies manage their spend in a way that reduces expenses and frees up time for teams to work on more valuable projects. Go to⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠ramp.com/invest⁠⁠ to sign up for free and get a $250 welcome bonus. ----- Trusted by thousands of businesses, ⁠Vanta⁠ continuously monitors your security posture and streamlines audits so you can win enterprise deals and build customer trust without the traditional overhead. Invest Like the Best listeners get a special offer of $1,000 off Vanta when you go to ⁠vanta.com/invest⁠.  ----- WorkOS⁠ is the infrastructure B2B and AI-native companies use to sell to enterprise. It covers everything enterprise security requires: SSO, SCIM, RBAC, Audit Logs, AI governance, and more. Trusted by 2,000+ fast-growing companies, including OpenAI, Anthropic, Cursor, and Vercel. ----- Rogo is the AI platform for finance. They're building agents for Wall Street that are trained to understand how bankers and investors actually do work: from diligence and modeling, to turning analysis into deliverables. To learn more, visit rogo.ai/invest. ----- ⁠Ridgeline⁠ has built a complete, real-time, modern operating system for investment managers. It handles trading, portfolio management, compliance, customer reporting, and much more through an all-in-one real-time cloud platform. Visit⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ridgeline.ai⁠. ----- Editing and post-production work for this episode was provided by The Podcast Consultant. Timestamps: (00:00:00) Welcome to Invest Like The Best (00:02:20) Learning the World Through Fireworks (00:05:42) AWS Was Going to Eat Everything (00:07:40) The Zero-Sum Thinking Trap (00:09:01) Comparing Cloud and AI Adoption (00:11:03) Becoming Enterprise's AI Sherpa (00:13:05) Building Sandcastles (00:14:55) The Return to Being Technical (00:17:13) The Shifting Competitive Frontier (00:22:10) Why the Old Playbook Fails (00:27:53) Energy as the Binding Constraint (00:29:38) The Cerebras Story (00:37:57) The Virtue of Productive Naivete (00:39:19) What Robotics Still Needs (00:45:58) What Makes a Great Board Partner (00:51:13) Raising A Growth Fund (00:55:39) What the Big Winners Taught Him (00:57:37) Hard Work Versus the Hole-in-One (00:58:38) The Best Reasons to Go Public (01:01:09) Debates Inside Benchmark (01:02:16) What If It All Works (01:03:35) What Geoff Hinton Got Wrong

All links and images can be found on CISO Series This week's episode is hosted by me, David Spark, producer of CISO Series and Mike Johnson, CISO, Rivian. Joining us is Nada Noaman, SVP and CISO, Estee Lauder Companies. In this episode: Skipping the apprenticeship Privileged users nobody manages like one Findings without the authority to fix them Security was always behavioral A huge thanks to our sponsor, Native The Cloud Security Control Plane. Native helps enterprises turn built-in cloud security controls into active, operational defenses across AWS, Azure, Google Cloud, and OCI, so teams can enforce secure-by-design architecture at the source, preview impact before rollout, and keep guardrails aligned as cloud environments change. Learn more at native.security.  

Amazon keeps raising the bar. Steve Dennis and Michael LeBlanc open with the retailer's blockbuster quarter: massive gains in AWS and advertising, staggering AI capex, and retail revenue up 16% year over year, up from 12% last year. Third-party sellers now drive more than 60% of the business, and Citi pegs underlying GMV growth near 10%, roughly double the industry average. Amazon's B2B division alone now tops $60 billion, bigger than all but eleven U.S. retailers. Then the hosts dig into the agentic commerce numbers Amazon disclosed as Rufus folds into Alexa shopping, why sample bias demands caution here, and how grocery momentum is turning Amazon into a mega market-share threat.  Then: Shopify's revenue up 32%, and the tale-of-two-cities reality that a handful of giants now drive nearly all e-commerce growth. A mid-year check on Steve's Prediction #8 — luxury's future won't be evenly distributed. LVMH, Kering, and Capri lag on China softness and war induced Gulf weakness, while Hermès, Ralph Lauren, Richemont, and Zegna keep delivering outsized results. Live from the CommerceNext Growth Show: Kartik Hosanagar. He's Wharton's John C. Hower Professor of Technology and Digital Business, author of A Human's Guide to Machine Intelligence, and co-founder of Bliss Labs. His argument: the biggest shift in retail isn't a new technology or channel. It's a new customer. Treating AI as another distribution channel is the same mistake movie studios made with Netflix. There's no marketing science for AI yet. $9.99 pricing, scarcity, social proof — a model may not respond to any of it. Kartik walks through the Ridge wallet case: invisible in ChatGPT's "gifts for men" results, then the default recommendation within three weeks, complete with a hallucinated promotion. Every retailer faces the same fork: efficiency or meaning. The middle is the most dangerous place to stand. Kartik also details the simulation sandboxes that let brands test counterfactuals in a day instead of eight weeks, why you can't just ask an LLM why it picked a brand, and the three attitudes retailers need now: curious, experimental, collaborative Back in studio: Wayfair's encouraging quarter and Steve's change of heart, Warby Parker's mixed report as store count passes 400, tariff rebates ($100 billion of $160 billion already repaid, more tariffs looming), and whether live selling has hit its tipping point with QVC out of bankruptcy and Whatnot valued at $20 billion. About UsSteve Dennis is a strategic advisor and keynote speaker focused on growth and innovation, who has also been named one of the world's top retail influencers. He is the bestselling author of two books: Leaders Leap: Transforming Your Company at the Speed of Disruption and Remarkable Retail: How To Win & Keep Customers in the Age of Disruption. Steve regularly shares his insights in his role as a Forbes senior retail contributor and on social media.Michael LeBlanc is a senior retail advisor, keynote speaker and media entrepreneur. Michael has delivered keynotes, hosted fire-side discussions hosted senior retail executive on-stage in 1:1 interviews worldwide. Michael produces and hosts a network of leading retail trade podcasts, including The Remarkable Retail Podcast, The Voice of Retail, The Food Professor, The FEED powered by Loblaw and the Global eCommerce Leaders podcast. He has been recognized by the NRF as a global Top Retail Voice for 2025 and 2026 and continues to be a ReThink Retail Top Retail Expert for the fifth year in a row.

Welcome to episode 367 of The Cloud Pod, where the forecast is always cloudy! Justin, Ryan, and Matthew are in the studio this week and ready with a lot of news, including passkeys (we know, they've had a rough week), Secrets Manager, Vector Search, and Glimmer (no, not my second favorite character from She-Ra), and even…wait for it…undersea cable news!  We've got a lot to cover, so let's get started!  Titles we almost went with this week AWS Secrets Manager Jenkins Rotation Finally Claude Enterprise Hooks a Ride on Data Loss Prevention Passkeys Take the Wheel, SMS Rides Off Into the Sunset Claude Code Says Trust Falls Are Over Muse Glimmer Shines While Meta’s Wallet Dims Zuckerberg Bets Big on Open Weights, Loses on Free Cash Flow AI is persistently in the news How many ways are there to run vector search in AWS, now 1 more Vector Search is the new Docker on AWS… how many ways are there to run it AWS Says “You get a Vector Search, and you get a Vector Search” You say you’re a Cloud Azure, but “Azure Network Router Appliance” says otherwise Claude now tells the world, I did the AI Slop Open, Closed, Open; Zuckerberg is on the AI Revolving Door Anthropic triples everyone’s productivity with Automode A big thanks to this week's sponsors: We're sponsorless! Want to get your brand, company, or service in front of a very enthusiastic group of cloud news seekers? You've come to the right place! Send us an email or hit us up on our Slack channel for more info. AI Is Going Great – or How ML Makes Money  01:40 Inference hooks: inline data loss prevention for Claude Enterprise  Anthropic launched inference hooks in beta for Claude Enterprise, providing inline data loss prevention across chat, Claude Code, Claude Cowork, and other Enterprise surfaces through a single configuration point. Technical approach: every inference request routes through a signed WebSocket connection to a customer-controlled security server; Claude sends the prompt and context before generation begins and waits for an allow/deny verdict before proceeding. The same inspection applies to tool call responses, including those from MCP connectors, skills, and plugins. The feature uses an open, webhook-based protocol with a published schema, allowing integration with existing DLP vendors such as Netskope, Palo Alto Networks, Proofpoint, and Zscaler, or custom in-house security servers, without requiring separate per-product integration work. Rollout controls include shadow mode (log without blocking), role-based exclusions, and percentage-based rollouts, along with configurable failure-policy tolerance and timeouts to match organizational risk requirements. This addresses a gap where inline enforcement was previously limited to Claude Code’s client-side hooks, giving compliance teams a unified enforcement layer for sensitive data across all Claude Enterprise channels.  Documentation is available

Chief Strategy Officer Nick Reed unpacks the "architecture of trust," AI-native enterprise transformation, and why staying laser-focused on customer value is central to Bizzdesign's bold AI strategy.Topics Include:Bizzdesign: global enterprise transformation SaaS company with Dutch roots, founded 2000, Main Capital-backedCustomers include HSBC, Shell, KPMG, and Airbus globallyBold 12-month strategy: acquired Mega International and Alfabet from Software AGAcquisitions tripled revenue, created the first true end-to-end enterprise transformation suiteBizzdesign's 18-year recognition as a Gartner Magic Quadrant Leader in Enterprise ArchitectureThe launch of Bizzdesign Unify in April 2026, an AI-native transformation collaboration platform Nick Reed's journey: enterprise software, customer value, M&A strategy, and AI-driven transformationHow Bizzdesign supports planning, design, and governance pillars across the transformation lifecycleHow Bizzdesign Unify complements existing enterprise architecture and portfolio management environmentsWhy Bizzdesign Unify is architecturally different: conversational AI-native experience, not traditional UIAI acts as a co-worker, supporting transformation work and decisions through curated skillsNew experience opens enterprise context to broader stakeholdersBizzdesign Unify bridges the gap between messy whiteboards and governed enterprise dataExample walkthrough: mapping customer service transformation dependencies and impactsGenerative AI creates transformation scenarios grounded in enterprise contextTech stack built on Amazon Bedrock, MCP clients, graph dataBalancing agentic AI and automation with human-in-the-loop accountability"Architecture of trust": permissions, oversight, and decentralized controlPricing shifts from seat-based to AI credit consumption modelClosing advice: stay laser-focused on core customer value creationParticipants:Nick Reed – Chief Strategy Officer, BizzdesignKamil Davidov – Sales Leader Israel ISV-BizApps, Amazon Web ServicesJohan Broman – EMEA ISV Head of Solutions Architecture, Amazon Web ServicesSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

In today's Cloud Wars Minute, I analyze the extraordinary RPO growth at Microsoft, Oracle, Google Cloud, and AWS and what it signals about AI demand. Highlights 00:03 — We've got another example here where, in the greatest growth market the world has ever known, we are working with some big numbers that put the law of big numbers to the test here. So, if you look at the four hyperscalers, and I go in order of the size of their backlog or RPO, you've got Microsoft, Oracle, Google Cloud, and AWS. 00:29 — So this is fully committed business. It's fully contracted and not yet recognized as revenue. So this is what's coming down the road, to look into the pipeline, in the future, these companies have — this isn't some guesstimate of what they hope they'll get. This is signed, contracted business. So this is one of the factors, probably the key factor, behind why you see these CapEx numbers approaching or exceeding $200 billion. 01:09 — Now that has led to a couple of these companies entering into the debt markets to try to fund this data center expansion and all that enormous CapEx outlay that they've got to go through. In turn, a couple of these companies for a quarter or two had negative cash flows, and that's got some people on Wall Street unable to comprehend it. The world's coming to an end. What are we going to do? 01:46 — I think the perspective is being switched here, right? Traditionally, the idea is bad. You don't want to have negative cash flow. Okay, that's pretty basic. I think we got that. The difference is there have never been a market with a size, a total addressable market , anything like this, growing at the rate this is. Look at these latest numbers for the four hyperscalers. 02:23 — Oracle, off a much smaller revenue base, has this huge future business coming in: $638 billion in RPO, growing at 363%. Google Cloud had a huge jump this past Q2, $514 billion in backlog, up 390%, and a resurgent AWS posted its biggest backlog number ever, $496 billion, and I believe that growth rate of 154% for its backlog is much higher than any they've reported over the last five or six quarters. 04:07 — So I think it's significant, but I also think it's being vastly overblown. I just want to say one more time: $2.3 trillion. Now, that's not like a TAM figure. Somebody's saying, "Oh, we think the market for new scooters is going to be $2.3 trillion." These are four companies, just four , not the whole tech industry, and these are their signed, contracted, committed figures for what they've got in their backlog or RPO. Visit Cloud Wars for more.

AWS Morning Brief for the week of August 10th, with Corey Quinn. Links:Amazon ECR now supports image layers up to 200 GBAWS Lambda announces scalable network bandwidth up to 3,000 Mbps for functions outside a VPCAWS Security Hub Extended adds supply chain security as its 10th categoryOpenAI GPT-5.6 Sol, Terra, and Luna now support 1 million token context windows on Amazon BedrockHow to understand and estimate combined AWS WAF and AWS Shield Advanced costsAmazon DynamoDB now supports real-time vector search at any scaleRuntime instances: persistent compute for production AI agents on Amazon Bedrock AgentCoreAmazon Connect Service Quota MonitorEnforcing data residency with single-Region Claude Code on Amazon BedrockReintroducing Network Firewall Proxy for Secure Egress ConnectivityAWS Supports Agent Plugins: An Open Standard for Portable Agent ExtensionsIntroducing Dogwood: runtime verification for AI agentsAWS partners with Anthropic and OpenAI to bring AWS Continuum into developer workflowsCaching KMS data keys in multi-thread environments: Per-tenant encryption for event-driven systems at scaleAccess Amazon S3 backup data directly using S3 Access Points in AWS BackupTwelve AWS bulletins, mostly AI toolingFrom weeks to minutes: How Formula 1® uses agentic AI on AWS to accelerate data operations

Four companies reported. Three of them are paying more to grow.UPS did $22.8 billion in the second quarter, up 7.6%, raised full-year guidance, and watched the stock fall 6%. The model right now is charging more for fewer packages, and domestic operating profit took transformation charges on the way through.PayPal put up $8.68 billion, up 5%. Volume keeps climbing. Take rate and operating margin keep sliding. Buybacks are doing the work of holding EPS flat.Amazon hit a record $200.6 billion quarter with strong AWS growth, though part of the earnings line came from a paper remeasurement on its Anthropic stake rather than from operations. Capex is going up again, and it is going into AI capacity.Shopify grew 34% to $3.58 billion and spent much of the call on AI. Management says AI-driven orders tripled year over year. Management did not say what that is worth in dollars.The Watson Weekly is sponsored by Avalara. Learn more at avalara.watsonweekly.comThen the Investor Minute: Poshmark, Procter & Gamble buying Thorne, Domo going to Progress Software, Calilmacus, and King Kullen finding a buyer on Long Island.#watsonweekly #paypal #ups #shopify #amazon

Don’t miss the AI partnership revolution Subscribe to our Newsletter: https://theultimatepartner.com/ebook-subscribe/ Check Out UPX: https://theultimatepartner.com/experience/ In this episode, Vince Menzione sits down with Amit Sinha from WorkSpan and Marc Monday from ServiceNow to dissect the rapid evolution of AI-native partnerships and the shifting dynamics of the channel ecosystem. They explore how the hyperscaler co-sell model has transformed into a complex strategy of asymmetrical collaboration that demands unprecedented speed, simplicity, and scale from publishers. By integrating AI agents to orchestrate workflows, manage high-risk renewals, and automate low-dollar deals, companies can activate their sellers and drive explosive, exponential growth in their partner programs. https://www.youtube.com/watch?v=ZP4cFBcCI9Q Key Takeaways The partner channel is no longer just a piece of the strategy; it is the entire strategy for winning in 2026. Modern co-selling is an asymmetrical collaboration where publishers must often do more than fifty percent of the heavy lifting. Implementing AI agents within partnerships can lead to massive revenue impacts, such as a 24% higher lift on renewals for companies like Boomi. True scaling requires moving beyond traditional time-and-materials consulting toward outcome-based frameworks for customers. Activating sellers through continuous AI-driven account orchestration is the ultimate key to unlocking exponential ecosystem growth. The market is moving faster than ever, necessitating that partner enablement and roadmaps shift to agile, sprint-based cycles rather than long-term rigid plans. If you're ready to lead through change, elevate your business, and achieve extraordinary outcomes through the power of partnership—this is your community. At Ultimate Partner® we want leaders like you to join us in the Ultimate Partner Experience – where transformation begins. Key Tags AI native, ecosystem shifting, hyperscalers, Work Span, ServiceNow, lifecycle incentives, cloud native, consumption led, DocuSign, Gong, Boomi, workflow orchestration, asymmetrical collaboration, CRM integration, marketplace private offers, high propensity, seller activation, agentic solution, outcome based consulting, LLM control tower. Transcript Amit Sinha and Marc Monday Audio Episode [00:00:00] Marc Monday: We have to be soup drop dead simple and we’re gonna talk about that nice. In this world. It has to be simple. Even though under the covers it’s very complicated, [00:00:10] Vince Menzione: you can feel it happening. The ecosystem is shifting beneath us. The way Hyperscalers are partnering, how AI is remaking the channel and what it means to win in 2026. [00:00:21] Vince Menzione: Welcome to the Ultimate Partner Podcast. I’m Vince Menzi, own your host. And each week I sit down with leaders at the intersection of technology, partnerships and outcomes. The voices shaping how ecosystems actually work. We talk about what’s real, what’s changing, and what it takes to lead in this era where the partner channel isn’t just part of the strategy. [00:00:43] Vince Menzione: It is the strategy because being in the room [00:00:46] Marc Monday: changes everything. Let’s start. [00:00:52] Vince Menzione: And, uh, two incredible friends up on, uh, up on stage. But I think I’m just gonna have my, one of my first friends come up. Amit Sinha from Work Span, a great, great friend and supporter. We’ve been together since the beginning, since the very first ultimate partner in Dallas when we commandeered Microsoft facility. [00:01:12] Amit Sinha: Yeah, [00:01:12] Vince Menzione: you have a little bit that you’re gonna share first and then we’re all gonna come join you. [00:01:16] Amit Sinha: Absolutely. And [00:01:17] Vince Menzione: then we’re gonna have my other great friend, mark Monday on us on stage with us as well. So yeah, [00:01:21] Amit Sinha: what a privilege. Uh, what a privilege. Vince, you do an amazing job as a community and, uh, incredible. [00:01:27] Amit Sinha: Shout out to Alexandra. Uh, we work together at Cisco talking about lifecycle incentives across the whole lifecycle. So amazing work done there as well. So. Very quickly, I’m gonna talk to you about AI native partnerships. A quick motivation. That’s me. Of course, we are using Nano banana to cover that. [00:01:45] Amit Sinha: That’s me looking up a Yellow Pages. I will date myself. That’s, uh, McDonald’s coming to India and me looking up, uh, the nearest McDonald’s, right? And this is me now booking Uber Eats Ma and I had this real experience yesterday night. I flew in from Sapphire in Orlando and I was hungry. Ma said, let’s, let’s get Uber Eats. [00:02:06] Amit Sinha: And we had a great. De this is digital native, right? We had no idea the world would transform this way, but completely new ways of working. Okay. Um, and, uh, another great experience that Mike, my co-founder and CEO seated the back half, I spent a decade at SAP, uh, doing hana, which was a database product, but it was on premise. [00:02:28] Amit Sinha: We had these racks and our whole gig was actually take an amazing HANA database with this server mounted, deployed. Wow. The CIO and the CFO, that this is the most amazing thing. And they would not say, Hey, you can’t take that box away, because it’s such a good insight that I get for my, uh, analytics product, right. [00:02:47] Amit Sinha: So that’s the old way. And look at us. We are all cloud native, right? Cloud has gotten to a place where it’s not just about infrastructure, running things and meters and stuff like that in a scalable way. It is a also source of innovation. New capability, new business model, consumption led business model. [00:03:07] Amit Sinha: Whole new way of working, right? So this comes to the new world now, what does AI need to look like? We heard all the amazing speakers talk about, uh, you know, the promise of ai, right? But you have a choice. Uh, you have a choice to do it yourself or, uh, especially as partnership professionals, right? When you do it yourself, you have this chat bots and stuff that you get from all the major. [00:03:33] Amit Sinha: You can always get more productive, but that’s about half an hour saved. The bar is too low there. So this is an amazing piece of, uh, research put together by all the experts. Vince, thank you for doing that. Uh, we had Jay McBain lend his voice as well. We had Rob Moyer with all his, uh, decades of, you know, insight and wisdom as to what would the future with AI look like, uh, encapsulate in that. [00:03:57] Amit Sinha: So go ahead, take a picture. Uh, this is not gated. Um, beautiful piece of content has also new insights from leading firms. AI native, I would dare say frontier firms who are like DocuSign or Gong who are really pioneering AI native partnerships, Boomi, and how they’re powering their renewal business case across AWS Google and Microsoft Marketplaces. [00:04:21] Amit Sinha: Uh, this really talks about that. And here, uh, this is the thought leadership that we bring to the table. And again, this is not a vendor pitch. This is, you know, as you elevate from the low bar about making yourself productive where you’re cut and paste, uh, into a chatbot, your context so that you can get a better co-sell email out there. [00:04:40] Amit Sinha: You DIY, this thing. But if you think of working with works span, these are three things that you should think about. First is imagine instead of cut and paste, you have your entire partnership context right there. And because the context is there, the right better together story, the right case study, the right partnership documents, the right opportunity and accounts that intelligence not only informs you, but also your team in a, in an extended way, and even your partnership in an extended way that’s fully automated. [00:05:13] Amit Sinha: Second is it’s not just informing you or sensing you, it is also acting. And I think this is where there are, you know, death by a thousand cuts if happening in the world where all this time gets taken up, right? But if you have an agent that scales in ly, whether you are big mature partnership, you got lots and lots of accounts and opportunities to cover, the agent can do that. [00:05:36] Amit Sinha: Or if you’re a new partnership, how do you get to market quickly? With the right assets, the right get to market content. This can work both ways. And lastly, how do you secure this partnership is done in trust. So you should have an agent for every partnership, uniquely your partnership with Microsoft, your partnership with ServiceNow, your partnership with uh, AWS and Google. [00:05:59] Amit Sinha: They all get a different agent. And the point here is these agents can work in a circle of trust and the boundary that gets established. So via work span, come talk to us outside. And with that, Vince, let’s uh, bring Mark along. Come on, mark. [00:06:17] Vince Menzione: Alright. I am gonna have you and then Mark, uh, yeah. Want mark in the middle? [00:06:22] Marc Monday: Oh, uh oh. [00:06:24] Vince Menzione: So, uh, let me move over so I get back to the picture slide. Look at those two handsome gentlemen up there. Uh, thrilled to have you Mark as well. Uh, for those of you who don’t, because you’ve been, you were just in Boca with us this Yeah. This winter. [00:06:39] Marc Monday: That’s right. [00:06:40] Vince Menzione: And, uh, tell us about your new role at ServiceNow. [00:06:43] Marc Monday: Well, I have the absolute privilege of leading the partner channel at ServiceNow. Yeah. Um, it’s comprised of our partner programs, our program gives and gets, and importantly our five routes to market, our consulting and implementation partners, our resell partners, our service provider partners, our hyperscaler partners, and importantly our build partners. [00:07:03] Vince Menzione: I love it. I love it. So let’s talk about the partner programs and why they’re so critical to ServiceNow right now. [00:07:08] Marc Monday: I think in this world scale is everything, and so this profession has always been a bit mercurial and a little bit of a black box for organizations. What does the partner team do? What does that look like? [00:07:21] Marc Monday: But what we have to continue to do is explain, this is your force multiplier. Working together in collaboration helps you scale beyond your individual numbers. And that’s really the thing that we’re focused on is how do we drive that? And I have three big things that we have to focus on is we have to be sup, drop dead simple, and we’re gonna talk about that [00:07:40] Vince Menzione: nice. [00:07:41] Marc Monday: In this world, it has to be simple. Even though under the covers it’s very complicated. We have to be incredibly fast. Agility is the key in this very moment. And then as I said, with that becomes the scaling element and the force multiplier. [00:07:56] Vince Menzione: And you have spent many, you, well, we both worked at Microsoft together. [00:07:59] Vince Menzione: It’s [00:07:59] Marc Monday: true. [00:07:59] Amit Sinha: Way back way. [00:08:00] Marc Monday: I feel like you’re punking me having me right before lunch. Like I remember back at Microsoft, you did something to me, so I’m gonna have you right before lunch. [00:08:07] Vince Menzione: It’s, no, it’s really terrific to have you. But, uh, so yeah, you, you mentioned about like the change and the specificity and the clarity around it. [00:08:16] Vince Menzione: Amme you have, uh, broken the model, so to speak, working with ServiceNow, right? Yeah. You went from being a traditional. I’ll call it co-sell Engine Marketplace Company. Uh, tell us, tell us, tell us about the innovation that’s going on in the room. We’re working with ServiceNow. [00:08:31] Amit Sinha: Absolutely. Uh, when you think of co-sell, the first mine goes to just co-sell with the hyperscalers, right? [00:08:36] Amit Sinha: Because they kind of pioneered and started this in a unique way. We, of course, got started with Microsoft eight years ago, doing not just co-sell and P two P, but since then AW S and Google right. You would be surprised to know that we do about 10% of AWS sales through work, expand co-sale. Right. Just [00:08:53] Vince Menzione: wow. [00:08:53] Amit Sinha: But that’s where we started. Where we ended up is really looking at all partner types and all motion types and. Mark and I disagreed and he, he really pushed me hard on this. Yeah, and the point here is if you look at your build partner motion, it’s also a co-sell. You build, then you co-sell and go to market, [00:09:11] Vince Menzione: right? [00:09:12] Amit Sinha: If you think about your services partners, right? You have a product. They have amazing last mile services and digital transformation. Uh, capabilities, and again, there’s a coastal motion there. So where we world works span eventually was not just coastal with hyperscalers, but across all partner types. And Mark, thank you for pushing us on that. [00:09:31] Amit Sinha: Yeah. And being a pioneering partner on works span with us. I really appreciate [00:09:34] Marc Monday: this. It was a fun rumble we got there. [00:09:37] Vince Menzione: So why does it matter now for ServiceNow specific? [00:09:40] Marc Monday: Yeah. I mean the reality is, um, I’m gonna say something provocative. We’re, we’re all friends. Yeah. Um, Cosell iss probably a misnomer. It’s not a 50 50 coequal relationship. [00:09:53] Vince Menzione: Yeah. You don’t walk in together holding it back. [00:09:55] Marc Monday: It’s asymmetrical collaboration. I love that. And I want to put the stake in the ground. The co-sell motions that have been created by the hyperscalers are wonderful. The pipe has been opened, but the reality is the publisher. Has to do a lot of the work and the systems are there, but the key is not just connecting into partner center as an example. [00:10:16] Marc Monday: Yeah. But building your own infrastructure and processes. That’s where the magic comes together, and that’s where we really drive scale. And so if we approach co-selling is asymmetrical collaboration and recognizing that you probably need to do more than 50%. When a, when a a team collaborates on co-authoring a book, it’s not like someone’s writing every other word, and it’s exactly 50%. [00:10:40] Marc Monday: Or if a pilot, a co-pilot is with a pilot on a plane, they’re not doing exactly 50% of the work’s, [00:10:46] Vince Menzione: right? No. [00:10:47] Marc Monday: This asymmetric approach requires that we do a lot of the work on our side. Yeah. And that’s where AM and team have really helped us a ton. [00:10:55] Vince Menzione: And ServiceNow was known as a ticketing solution back in the day. [00:10:58] Vince Menzione: Right. And you’ve kind of, I mean, it it, it started that way. [00:11:01] Marc Monday: We have a wonderful heritage 20 plus years Yeah. Of workflow orchestration. Yeah. And in a diggen world, what are we really doing? We’re orchestrating workflows, and importantly, we need to govern those workflows and we need to sequence them in a meaningful way. [00:11:17] Marc Monday: And so our vision of a control tower across any hyperscaler, any LLM, any workflow, any system of record, any time, that’s the key to everything. [00:11:27] Vince Menzione: And so now you’ve taken the work span approach and driven it across what I see, like taking, taking this. This stack, we’ll call it. Yeah, the tower. Yeah. And then applying all of the methodologies and best practices on what we’ve called co-selling and ecosystem orchestration, essentially is what it really is. [00:11:46] Amit Sinha: Absolutely. [00:11:46] Vince Menzione: Yeah. [00:11:47] Amit Sinha: Yeah. And we are thrilled to partner with ServiceNow on this. So ServiceNow, as you guys know, uh, release their CRM product. So we got in at the ground floor on that opportunity and with the now assist agents as well. What we’ve really built is an integration between work span as a platform. [00:12:03] Amit Sinha: And ServiceNow, CRM as well. So if anybody is using that all the way from ServiceNow opportunities to Marketplace private offers, you can a genetically do that. Of course you can do it on Salesforce Hub, spot and Dynamics, but now ServiceNow is an additional option on that. I wanna really double click though, mark, on your point around asymmetry around this, when we say six to seven partners are gonna surround the end customer, right? [00:12:27] Amit Sinha: Yes. They will come at different points in time. Yes. Right? And they will also have different roles to play. So just as you think of a team, right? A soccer team for that matter, or a football team, pick your analogy right. Not everybody’s equal. Right? There’s always a qb. There’s always somebody who holds the prime on the deal. [00:12:45] Amit Sinha: There’s always a role to play. [00:12:46] Marc Monday: Yeah, [00:12:47] Amit Sinha: and I think what’s beautiful about our partnership here is when you look at it applied to services partners, it’s about building billion dollar businesses around ServiceNow, using their competency, but knowing the kind of joint accounts you need to go pursue in order to. [00:13:03] Amit Sinha: You know, burn down their inventory or, or co-sell alongside. If it’s the build partner, it’s about attacking an industry vertical or a joint account there. Right? So knowing very intelligently who to partner with and when to bring them on is the AI orchestration that is key in this partnership [00:13:19] Vince Menzione: here. Yeah. [00:13:19] Vince Menzione: So important. ’cause you, it isn’t single threaded this, this asymmetrical approach. [00:13:24] Amit Sinha: Right. So [00:13:25] Vince Menzione: incredible. You just ha you just finished your big event. I was hoping I did spare Share with us a little bit of your perspective on what’s been changing and how your ecosystem is evolving. Uh, I had Jen Odes in the studio. [00:13:38] Vince Menzione: That’s right. As you know, back in the fall. Fall, go back and watch it again. Yeah, it’s available. Great. Great podcast interview. Yeah. And you’ve been on stage at our events before and we’ve had that as a podcast, but take us how things are changing from the partner type perspective. We have MSPs in the room. [00:13:53] Vince Menzione: I know MSPs are, I know again, hands on the steering wheel. So important, right? Yeah. This technology is so complex. How are you thinking about ecosystem in your role? [00:14:03] Marc Monday: Yeah, I said earlier it’s about simplicity, speed, and scale. Yeah. Last week we had our big customer event knowledge, and on the first day we had our partner event. [00:14:13] Marc Monday: I think the biggest thing that’s happening right now is the pace of change is a bit overwhelming at times. And keeping pace with that is super critical. So what we’ve tried to do and what we announced last week was a lot of investment in giving our channel partners the exact same tools that we use in our business, right? [00:14:32] Marc Monday: So we were really focused on. Um, delivering business value. And so we took our, the solution that we use or the tools that we use for, um, delivering, uh, business value through our partners. It’s an assessment tool. Um, we’ve syndicated that to our partners. We’ve made that available. We also put a little bit of a stake in the ground around what do customers expect right now? [00:14:56] Marc Monday: Um, the time and materials business is gonna be under a tremendous amount of pressure. Some studies are predicting that it could be. Compressed by as much as 30% customers are looking for outcome based. Yeah. Um, they may stop on that journey and, and have something that’s fixed fee. But the reality is everyone is expecting value from the, the technology that they buy, and particularly from an agent perspective. [00:15:21] Marc Monday: We really leaned in on that and published what I think is a pretty good framework mm-hmm. For, um, outcome-based consulting. And we had a couple partners co-author that with us, which was really wonderful. Nice. Um, and it was a nice piece of co-creation and I think I’m seeing more and more of that where we’re co-creating with our partners in ways that we’ve never done before. [00:15:41] Marc Monday: And then I think importantly, security and reliability, um, and managing risk increasingly will be important. In an agentic world, we call it a control tower. We made two fairly big acquisitions in the last several months in terms of both the front door and the back door in terms of securing with the calls that are going into that agent or from that agent. [00:16:04] Marc Monday: To your various data sources. And so for us trying to bring that all together with our strong history of workload flow, orchestration, and then importantly, governance, security, and risk, uh, in the environment today, when you have the potential for hundreds of thousands or even millions of agents touching your core systems of record, [00:16:24] Vince Menzione: how are you thinking about both tiering your partners and also enabling your partners? [00:16:30] Marc Monday: Yeah, I think this is also an, an an area where I’d love to benchmark with y’all, um, because, you know, historically most of us built a fairly robust learning plan for our partners. You’d have a certification and then you would have a competency, and then you, maybe you’d have a wrapper around that competency. [00:16:48] Marc Monday: And it would take a long time, maybe 12 or 18 months to get to that highest level of certification. And it was incredibly robust and that’s wonderful. But when the roadmap is moving so fast that we’re releasing weekly, monthly, and every 90 days, does that type of training still hold water? So I’m proposing that we have both a volume view of how many trained individuals can we get as quickly as possible, and then value. [00:17:16] Marc Monday: And so we don’t want to lose this rich history, what I would describe as the rear view mirror, how we got here, but we also need to approach the windscreen, the windshield, where are we going and what is that opportunity? Yeah, so we have to go a little bit faster when it comes to enablement, [00:17:32] Vince Menzione: so. You, you were in a partnership, you, you call it a built on partnership. [00:17:37] Vince Menzione: Is that, is that the approach that [00:17:38] Amit Sinha: Yeah. ServiceNow has an ISV program called The Built On Partnership. Built On [00:17:41] Vince Menzione: Partnership, yeah. [00:17:42] Amit Sinha: Uh, so we sign onto that program, great accelerators to build lot of coaching and help to build on the ServiceNow platform. It’s not just the CRM integration, where it’s the opportunities and orders. [00:17:54] Amit Sinha: And by the way, this is the best platform or order management out there. So if you think of, uh, of your, if you are a MSP or consulting partner, building orders for your customers, now you want them to land on the marketplace, right? You wanna build that highway. Think of work span, right? So that’s where we came in and we said that if we look at the large number of channel partners, MSPs, who need to do that and are using ServiceNow as a platform to do it, can they genetically do it right from the now CRM? [00:18:24] Amit Sinha: Yeah, so that’s why we came in. The three big use cases we saw, number one was renewals. You talked about Alexandra doing it. Renewals is so [00:18:31] Vince Menzione: important. Yeah. [00:18:32] Amit Sinha: Oh my goodness. If you think about the renewals playbook [00:18:34] Vince Menzione: was so huge, [00:18:35] Amit Sinha: six months, nine, you know, uh, 90 days out, you wanna build that playbook. Mm-hmm. In an agent way when you reach out. [00:18:43] Amit Sinha: And by the way, you heard, uh, die Talk about 462 billion of uncontested Cloud commits out there. Yep. You want your high risk renewals to go against the high propensity to buy accounts. Right. So imagine that matchmaking, if you were to do it humanly, it’ll take you days. If you had an agent to do it like the now assist agent, it can just be done like that. [00:19:06] Amit Sinha: So that was the first use case we went after. Nice. The second one was the low dollar automation. We all have businesses that we land, right? Sub 50 K deals, so we have inside sales teams calling on those customers all day long. So now imagine a Gentech solution where you take all those low dollar deals and again, tie to the marketplace. [00:19:26] Amit Sinha: How can you have express private offers, right, from your opportunities? So those were the two use cases that we went after first and boy, uh, we got some amazing results, [00:19:36] Vince Menzione: I bet [00:19:36] Amit Sinha: for one of these companies, Boomi, we showed that 24% higher lift on renewals. That’s like hundreds of millions in impact just in one year alone. [00:19:46] Vince Menzione: And using AI internally as obviously you’re an AI company. Yeah. How are you thinking about how’s the impact of AI helping the partner function within ServiceNow? [00:19:54] Marc Monday: I, I think there’s this really wonderful opportunity right now where in the short term, we’re taking busy work out of the partner management profession. [00:20:05] Marc Monday: Um, partner managers historically have spent a lot of time chasing data and chasing information and really acting as an ombudsman for the partner within the organization. That work is very quickly. Getting identified. That’s phase one. The thing I’m actually a little more excited about is when it can expand the horizon to have different types of conversations, expanding the partnerships, expanding the multi-partner oppor opportunities. [00:20:29] Marc Monday: That, for me is the next phase, but we, I believe we are the most progressive when it comes to using AI on ourselves and really trying to take the profession to the next level. [00:20:40] Vince Menzione: Nice. Well, I was gonna, I was gonna, I want to go back to the platform again. ’cause you, you’re, you’re starting, you, you mentioned renewals, you’re mentioning some of the success. [00:20:50] Vince Menzione: What else can you point to on the success side, [00:20:52] Amit Sinha: there’s some, uh, amazing research that Sam here has done, uh, with all the data that Wepan has. So we looked at close to a million opportunities and, uh, looked at all the companies doing well. And we actually tabulated how many sellers are engaged on co-sell, not the partnering team, but how many end sellers. [00:21:11] Amit Sinha: This shows the extent of the transformation that the company has gone through, and what we found was amazing. If more than 50% of your sellers have engaged on 10 or more deals, your ecosystem is exponential. It doesn’t need the kind of the doctoring or the prod or the push to kind of say, Hey, use partners. [00:21:31] Amit Sinha: The sellers get it themselves, right? So we, we did this analysis and found like, wow, how can we then get sellers to activate? And the bottleneck that we found was. That there are not enough partner managers to assist every seller in the world. I think that seller activation is the unlock that AI can do. [00:21:50] Amit Sinha: Imagine if you have a partner agent sitting on every account and every opportunity 24 by seven, right? As the world changes, as the world evolves, as the solutions come in. As you know, market events happen. These agents are listening, positioning the right. One of those six partners, or all six partners for that matter, in front of people. [00:22:10] Amit Sinha: So I feel like that that big unlock is seller activation. Yeah. So if all partner managers do with ai, next is one. Of course, get yourself skilled up and yourself productive. But next, direct it to your own internal sales teams and get them activated on your partnerships because that’s where you will move the revenue lever the fastest, in my opinion. [00:22:30] Vince Menzione: Fantastic. What advice do you have for whether they be ISV partners or other partners in the room? ’cause we have partners of all types here. Yeah. What would you have, what would you say to them that need to do differently or better? [00:22:43] Marc Monday: Yeah. [00:22:44] Vince Menzione: Starting today, [00:22:46] Marc Monday: I, I don’t wanna be a broken record, but I would just say go faster. [00:22:48] Marc Monday: However fast you think you’re going, it’s not enough. Yeah. Um, the reality is I think Bill McDermott says like, the market’s never been this fast before and it will never be this slow again. Oh. The reality is this is the pace we run at, and the only way we can run at this pace is if we have the agents doing much of the work for us. [00:23:09] Marc Monday: So I would say go faster. The second thing I would say is automating a bad process is a bad process. So really go and interrogate the workflow that you’re actually thinking about identifying. I’ve seen too many instances from partners and partnerships where you’re taking a bad process and you’re trying to build automation. [00:23:29] Marc Monday: Go back and deconstruct it or start fresh blank piece of paper. Um, again, to my metaphor of the rear view mirror and the wind screen, like it’s, we should honor the past. We’ve done a wonderful job in the last 30 years of building all of this stuff. It’s just not built for this speed. So we need to really stay focused on what’s in front of us. [00:23:49] Vince Menzione: We talked a little bit earlier in one of the other sessions about the playbook and the three year plan, and then maybe moving to sprints. That’s right. How are you, how are you thinking? Are you thinking along the same lines? A [00:23:59] Marc Monday: hundred percent. Uh, we need to move at the pace. Sorry, I’m, we need to move at the pace that the roadmap is moving. [00:24:05] Marc Monday: So if we’re doing weekly, monthly, and quarter releases, we don’t wanna whipsaw the channel. We have to be careful of that. But the reality is, if we’re pivoting our product strategies or release strategies on a quarterly basis. We have to have that same level of agility. That’s where the people who’ve grown up in this profession taking really complicated stuff and making it simple is so critical. [00:24:26] Vince Menzione: Ami, you touched on AI’s role in the partner function. But let’s expand on that. What, what’s it gonna look like in two years? If AI becomes, will it replace the partner function? What, what do you see happening? [00:24:38] Amit Sinha: Absolutely not. I think, uh, we are seeing this evolution and, and you can see the parallels in the engineering organization. [00:24:44] Amit Sinha: When Claude Cursor came along, you saw engineering completely transformed as to how products are now built. How they are, how product managers write PRDs, how engineers actually code this, you know, code the scaffolding all the way to the user experience, how it’s tested. Everything has fundamentally changed. [00:25:01] Amit Sinha: So if you went and asked the engineering leader, how will your role change? Right? Imagine answering that question today, right? It’s fundamentally different. I feel like it’s coming to every function. Whether you want it or not, it’s coming to every function. And the partnership leader will look like the partnership operator that Rob talks about. [00:25:19] Amit Sinha: Yes. It’ll be about orchestrating real time relationships at the account level, at the opportunity level, and being a hands-on person. Uh, i, I would say even at the leadership level or down to partner managers, how can you cover the breadth of accounts and opportunities that’s out there to, for you to prosecute? [00:25:36] Amit Sinha: It’ll not look like I’m managing a partnership. It’ll not look like, Hey, I have to offer an MDF. It’ll not look like, Hey, let’s do A QBR, you know, and get all the teams engaged because that’ll be too late essentially. So this operator perspective is what’s gonna change just as it changed in engineering, it’s gonna happen in partnerships [00:25:56] Vince Menzione: perspective as well. [00:25:57] Marc Monday: Big plus one on what Rob’s talking about. I, I, I’m a big fan of that and I love this idea of using what’s happening in the developer world as an analog for where we’re going. Yeah. Um, I met a product manager last week and she was saying that she was producing 30 or 40 product requirement docs every week. [00:26:14] Marc Monday: Um, that’s remarkable output and she can only do that because of the way she’s leveraging ai. The same will be true for a partner manager, a 10 x, a 20 x, a 30 x on each individual once we get to that stage, and it will happen very quickly. [00:26:29] Amit Sinha: Yeah. Imagine putting a hundred joint account plans together in a day. [00:26:33] Amit Sinha: Yep. [00:26:33] Vince Menzione: Right. Incredible. [00:26:34] Amit Sinha: Imagine putting like five connections on an opportunity just surrounding your deal right now. Right. Doing that. [00:26:41] Vince Menzione: I couldn’t even, I, I couldn’t even imagine. I know you couldn’t even imagine when we were back in the days we were running PAMs and Yeah, totally. Those resources, what they had to do and what’s all totally automated today. [00:26:52] Marc Monday: It. It’s true, it’s true. I was, um, I was bemoaning this, I’ve been on the road a lot lately and I was like telling my wife, like, I long for the days where you have one meeting and you go, you know, you go to New York and you do a two hour QBR and you go to a nice dinner and then maybe you walk around Central Park. [00:27:06] Marc Monday: The reality is you’re doing a hundred of those every single day. It’s a different era. That’s where we need to get the tools to work for people. [00:27:15] Amit Sinha: Mark, I love your analogy around the rear view mirror versus the windshield. Mm-hmm. You have to see through the windshield. [00:27:20] Marc Monday: We do. We do. It’s amazing. Don’t be afraid. [00:27:23] Marc Monday: I, I mean, I would just say do not be afraid. Be excited. We in this room, get to lead the path. Yeah. It is an absolute privilege. [00:27:32] Vince Menzione: So insightful, gentlemen, you’ve been incredible to be on stage with today. Uh, I we have a le a little less than a minute. I was hoping maybe if there was like one question we could take. [00:27:42] Vince Menzione: I got John with a mic and then it’s lunchtime after this, so [00:27:48] Marc Monday: ask on because he can be more pithy. [00:27:50] Vince Menzione: Yeah. [00:27:55] Vince Menzione: Well, you’re both are gonna be around here. I hope [00:27:57] Marc Monday: we will be here. [00:27:58] Vince Menzione: Mark didn’t have you got to sleep in your own bed last night? [00:28:00] Marc Monday: Uh, yeah. It was a long day, but yes. I thank you for, it was very late. Thank you so much. Let’s put this on the record. Marks down. We’re having the event in Bellevue. That was great. [00:28:09] Marc Monday: We’re gonna [00:28:09] Amit Sinha: bring it back. We’re gonna bring it back to Bellevue. [00:28:12] Marc Monday: Seven mile commute is the best trip that I’ve had in many, many weeks. [00:28:17] Amit Sinha: Thank you. Well, thank you, gentlemen. It [00:28:19] was [00:28:19] Marc Monday: incredible. [00:28:20] Vince Menzione: Thanks for listening to the Ultimate Partner Podcast. If today’s conversation resonated, share it with a partner leader in your network. [00:28:28] Vince Menzione: Subscribe where you listen, and head over to the Ultimate partner.com for show notes related content and the resources for this episode. And if you haven’t already, now’s the time to register for the Ultimate Partner Live event in Reston, Virginia, [00:28:44] Marc Monday: October [00:28:45] Vince Menzione: 26th through October 28th. Until next time. Keep showing up in the rooms that matter because being in the room changes everything.

Pinterest just launched a game-changing update to its Amazon partnership — and if you're using Pinterest to sell or promote products, this is the feature you've been waiting for. In this episode, we're breaking down Pinterest's new Amazon Storefront linking tool, announced June 10, 2026. We're going to be breaking down this and so much more. Resource Articles:Pinterest adds Amazon Storefront linking for creatorsPinterest, AWS power new AI visual search (more about collab w/ Amazon Web Services than storefront)How To Use Amazon Storefront Linking To Monetize Your Pinterest ContentBill Ready About Shopping on Pinterest (comments could be insightful)Pinterest Now Lets Creators Link Their Amazon Storefronts DirectlyCreating an Amazon storefront (Brand Store) (What is an Amazon storefront?)Connect Amazon and Pinterest | Pinterest Business help—-------Here are some helpful links from the podcast:

Intelligence too cheap to meter -- could that actually be coming?

If you have hunted the ruffed grouse or woodcock, or if you ever plan to, this episode is for you! RGS and AWS are swinging the axe of conservation. Ben Jones and Mark Hatfield give us some updates and news from the front lines of habitat.

If you have hunted the ruffed grouse or woodcock, or if you ever plan to, this episode is for you! RGS and AWS are swinging the axe of conservation. Ben Jones and Mark Hatfield give us some updates and news from the front lines of habitat.

OpenAI has a new model coming soon called Astra. Was it a leak? A reddit post? Some backdoor update? Nope, OpenAI made some crazy discoveries and math then told the world that their next model family Astra did the heavy lifting. (And you thought you could just click ‘Sol' and your strategy was set for Q3?) Aside from news on what's next from OpenAI, this week saw multiple new agent outbreaks, AI competitors banning together to pace AI, Amazon doing a 180 on its AI strategy and a lot more. Don't get left behind. We'll keep you ahead. OpenAI's new Astra model, more AI agents escape sandboxes, AI leaders call for AI pacing and more. AI News That Matters for August 3 — An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:OpenAI Agents Escape Sandboxes IncidentAnthropic Claude Models Security BreachesAI Agents Breaking Cybersecurity GuardrailsOpenAI GPT-5.6 Price Cuts & Self-OptimizationRecursive Self-Improvement in AI ModelsAI Leaders Urge AI Development PacingUS, China, and International AI GovernanceAmazon Nova AI Models Shutdown StrategyOpenAI Astra Model Math BreakthroughNew AI Models: Fable, Astra, DeepSeek v4 FlashEnterprise AI Agents and Cybersecurity UpdatesGoogle Gemini Robotics, Music, and Agent ReleasesMeta, Microsoft, and AWS AI Infrastructure MovesOpenAI Free Frontier Tools for ResearchersBlock's Buzz Open Source AI Workspace LaunchTimestamps:00:00 OpenAI agent containment issues04:27 Anthropic data breach explanation07:28 Evaluating AI incidents and responses10:14 OpenAI slashes GPT 5.6 prices15:59 AI industry urges development pause17:45 Concerns about AI self-improvement22:36 Amazon shifts AI strategy25:04 Amazon's AI efforts discussion28:00 OpenAI's Astra and new math proofs30:36 OpenAI's new four-tier system36:14 Google's Lyria 3.5 and Block's Buzz36:48 Latest AI developments overviewKeywords: Astra model, OpenAI, AI agents, agent escape, sandbox containment, autonomous AI, Hugging Face breach, Anthropic, Claude AI, cybersecurity testing, unauthorized access, model capabilities, recursive self-improvement, GPT-5.6, price cut, Luna model, Terra model, Sol model, input tokens, output tokens, AI infrastructure optimization, self-improving models, benchmarking, SONNET-5, large language models, artificial analysis index, codex, academic research, AI oversight, industry pause, AI governance, national security, China open-source models, Frontier Labs, Amazon Nova, AGI Lab, AWS, Peter DeSantis, Peter Abbeel, media coverage, Fable model, Haiku, Opus, DeepSeek, Kimi K3, Quinn 3.8, GLM 5.2, Google Gemini 3.5, Microsoft Copilot, cybersecurity vulnerabilities, distillation, model overhang, artificial intelligence development, international AI regulation, generative AI, model benchmarking, Sora video model, El Paso data center, MCP update, MAI Cyber One Flash, Project Perception, Lyria 3.5, music generation, Buzz open source, Block, Meta AI, Chrome Gemini integration, Gemini Spark, product summary algorithms, Rufus, enterprise AI, stateless core, model scaling, advanced math problems, sphere packing, federal policy, voluntary AI commitments.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner 

In this episode, Scott Becker breaks down the market rally, Amazon’s strong AWS-driven gains, and the continued challenges facing Rivian, Tesla, and other electric vehicle makers.