Podcasts about google next

Send us a textWe attend the opener of the Google Cloud Next conference at Sphere. We got a preview of the The Wizard of Oz film they are creating for the venue. It debuts in late August. We were blown away! This will use AI to extend the frame and bring the original 1939 film to life. We take a deep dive and fill you in. We know a lot of you are looking forward to this. We also remember Las Vegas icon, Elaine Wynn. She passed away on April 15th. She was a monumental part of Las Vegas' transformation and a philanthropist. We saw her at The Mirage closing. We also check out The Patio at M Resort and loved it!! More people need to know about this spot. And, Immersive Van Gogh gets a new version. This is located inside the Shops at Crystals. If your home was damaged in the California wildfires, Galindo Law may be able to help you get more compensation. Call 1-800-251-1533 or visit galindolaw.com If your Texas home was damaged by hail or a hurricane in the past 2-years, Galindo Law may be able to help you get more insurance compensation. Call 1-800-251-1533. Or, visit GalindoLaw.com VegasNearMe AppIf it's fun to do or see, it's on VegasNearMe. The only app you'll need to navigate Las Vegas. Support the showFollow us on Instagram: @vegas.revealedFollow us on Twitter: @vegasrevealedFollow us on TikTok: @vegas.revealedWebsite: Vegas-Revealed.com

In this episode we discuss the latest and greatest announcements from the Google Next 2025 conference with Simon Pane (Oracle ACE and Google Cloud Champion), Nelson Calero (Oracle Ace Director) and Jeff Deverter (Pythian Field CTO). We go over Oracle partnership updates, BigQuery updates, AlloyDb updates and of course, AI announcements!

Watch on YouTube.In this episode of The Big UC News Show on UC Today, host David Dungay and co-host Kieran Devlin bring together an all-star panel of experts: Zeus Kerravala, Irwin Lazar, Melody Brue, Evan Kirstel, and Craig Durr. They break down the biggest developments in UC and collaboration—from Google's jaw-dropping AI showcase from Google Next and Canva's surprising push into productivity, to Microsoft Copilot's evolution and the massive impact of U.S. tech tariffs. If you're in the UC space or simply trying to keep up with where work tech is headed, this is the must-watch conversation.Our expert panel shares sharp insights, strong opinions, and some healthy skepticism on:Google's AI OverdriveFrom turning the Wizard of Oz into a Sphere-worthy immersive experience to embedding Gemini into chat, Docs, and Sheets—Google's enterprise AI play is bold, but will it stick?Canva's Quiet DisruptionWith new AI tools like MagicCharts and Canva Code, the design platform is now elbowing its way into the productivity suite arms race—complete with integrations into Teams and Slack.Microsoft Copilot's VisionScreen-reading, task-completing, memory-enabled Copilot is here. Useful or creepy? Our panel weighs in on its bold new direction.Tariff TurbulenceLogitech pulls back guidance, and vendors brace for pricing chaos as 100–150% tariffs loom. Will innovation and supply chains survive the hit?Plus, hear about Enterprise Connect's big move to Vegas, whether it's still got its mojo, and which show is stealing its thunder.Thanks for watching, if you'd like more content like this, don't forget to SUBSCRIBE to our YouTube channel.You can also join in the conversation on our  X and LinkedIn pages.

Welcome to episode 299 of The Cloud Pod – where the forecast is always cloudy! Google Next is quickly approaching, and you know what that means – it's time for predictions! Who will win this year’s Crystal Ball award? Only time and the main stage will tell. Join Matthew, Justin, and Ryan as they break down their thoughts on what groundbreaking (and less groundbreaking) announcements are in store for us.  Titles we almost went with this week: OpenAI and Anthropic join forces?  Its 2025, and AWS is still trying to make Jumbo packets happen Beanstalk and Ruby’s Updates!! They're Alive!!! Google Colossus or how to expect a colossal cloud outage someday. The Cloud Pod gives an ode to Peter A big thanks to this week's sponsor: 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 All Its Money   02:27 OpenAI adopts rival Anthropic's standard for connecting AI models to data OpenAI is embracing Anthropic's standard for connecting AI assistants to the systems where the data resides.   By adapting Anthropic's Model Context Protocol or MCP across its products, including the desktop app for ChatGPT.   MCP is an open source standard that helps AI models produce better, more relevant responses to certain queries.  Sam Altman says that people love MCP and they are excited to add support across their products and that it is available today in the Agents SDK and support for the ChatGPT desktop and Response API is coming soon. MCP lets models draw data from sources like business tools and software to complete tasks, as well as from content repositories and app development environments.  We found two helpful articles that may help demystify this whole concept.  MCP: What It Is and Why It Matters – by Addy Osmani Meet MCP: Your LLM's Super-Helpful Assistant! Justin particularly loves Addy Osmani's blog, as they start out with a simple ELI5 on understanding MCP. We're going to quote verbatim:  “Imagine you have a single universal plug that fits all your devices – that’s essentially what the Model Context Protocol (MCP) is for AI. MCP is an

Welcome to episode 297 of The Cloud Pod – where the forecast is always cloudy! Justin, Ryan, and Matthew have beaten the black lung and are in the studio – ready to bring you all the latest and greatest in cloud and AI news! We've got Wiz buyouts (that security, it's so hot right now!) Gemma 3, Glue 5 (but not 3 or 4) and Gemini Robots – plus looking forward to AI Skills Fest and Google Next, all this week on The Cloud Pod.  Titles we almost went with this week: Google! Yer a WIZ—Ard Google Announces Network Security Integration… and that must include WIZ Gemini Robots…. What could go wrong  AI Data Studios … So Hot Right Now I want 32 Billion dollars Azure Follow AWS in bad life choices – mk Wait Glue is more than v2 What happened to Glue 3 and 4? 5th Try and AWS Glue still sucks A big thanks to this week's sponsor: 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.  Follow Up  01:05 Microsoft quantum computing claim still lacks evidence: physicists are dubious A MS researcher presented results behind the company's controversial claim to have created the first topological qubits – a long-sought goal of quantum computing.  Theorists said it’s a hard problem, and that it was a beautiful talk but the claims come without evidence, and people think they have gone overboard.  The Head of Quantum at Amazon was also highly skeptical: https://www.businessinsider.com/amazon-exec-casts-doubt-microsoft-quantum-claims-2025-3 02:09 Justin – “No one’s really buying Microsoft actually created a new topological qubit. There’s some doubt… basically they said that what they showed, which is a microscopic H-shaped aluminum wire on top of indium arsenide – a superconductor at ultra-cold temperatures, and the devices are designed to harness majoranas, previously undiscovered quasi-particles that are essential for topological qubits to work, and the goals for majoranas to appear at the four tips of the H-shaped wire emerging from reflective-behavior electrons, and these majorans in theory could be used to perform quantum computing that are resistant to information loss, but no proof, no evidence, and they think Microsoft’s full of it.” General News  04:12 Google + Wiz: Strengthening Multicloud Security Google has announced the signing of a definitive agreement to acquire Wiz. This will allow them to better provide business and governments with more choice in how they protect themselves.  Google answers why now… and that they have seen their

Welcome to episode 296 of The Cloud Pod – where the forecast is always cloudy! Today is a twofer – Justin and Ryan are in the house to make sure you don't miss out on any of today's important cloud and AI news. From AI Protection, to Google Next, to Amazon Q Developer, we've got it all, this week on TCP!  Titles we almost went with this week: Amazon Step Functions, walks step by step into my IDE Deepseek seeks the truth of “is it serverless or servers”?  Well Architected Reviews by AI… What will my solutions architects do now?  The cloud pod hosts steps over the Azure EU Data Boundary BYOIP to ALBs… only years too late for everyone. A big thanks to this week's sponsor: 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.  General News  01:02 HashiCorp and Red Hat, better together  Hashicorp has more details on its future, with the recent IBM acquisition in this blog post.  They talk about the wide range of Day 2 operations, including things like drift detection, image management and patching, rightsizing, and configuration management.   As Red Hat Ansible is a purpose built operational management platform, it makes it easier to properly configure resources after the initial creation, but also to evolve the configuration after setup, and then execute ad-hoc playbooks to keep things running reliably and more securely at scale.  Some additional things they're exploring, now that the acquisition has closed: Red Hat Ansible Inventory generated dynamically by Terraform.  Official Terraform modules for Redhat Ansible, making it easier to trigger terraform from Ansible Playbooks. Redhat and Hashicorp officially support the Red Hat Ansible Provider for Terraform, making it easier to trigger Ansible from Terraform. Evolving Terraform provisioners to support a more comprehensive set of lifecycle integrations. Improved mechanisms to invoke Ansible Playbooks outside of the resource provisioning lifecycle Customers – not surprisingly – regularly integrate Vault and Openshift, and they have identified dozens of connection points that can add value, including: Vault Secrets Operator for OpenShift Etcd data encryption  Argo CI/CD Istio Certificate issuance 01:48 Justin – “That's a lot of promise for Ansible there, that I'm not sure it completely lives up to…” 07:09

Parce que… c'est l'épisode 0x567! Shameless plug 1er au 3 avril 2025 - InCyber 2 au 4 avril 2025 - Humaco 8 et 9 avril 2025 - Cybereco 9 au 11 avril - Google Next ‘25 10 au 18 mai 2025 - NorthSec 27 au 30 mai 2025 - Cycon 4 au 6 juin 2025 - SSTIC 12 au 17 octobre 2025 - Objective by the sea v8 Novembre 2025 - European Cyber Week 25-26 février 2026 - SéQCure 2065 Description Collaborateurs Nicolas-Loïc Fortin Nicolas Bédard Crédits Montage par Intrasecure inc Locaux réels par Cage

Parce que… c'est l'épisode 0x566! Shameless plug 1er au 3 avril 2025 - InCyber 2 au 4 avril 2025 - Humaco 8 et 9 avril 2025 - Cybereco 9 au 11 avril - Google Next ‘25 10 au 18 mai 2025 - NorthSec 27 au 30 mai 2025 - Cycon 4 au 6 juin 2025 - SSTIC 12 au 17 octobre 2025 - Objective by the sea v8 Novembre 2025 - European Cyber Week 25-26 février 2026 - SéQCure 2065 Description Notes Transformation numérique en PME : bâtir les fondations pour un succès durable Collaborateurs Nicolas-Loïc Fortin Christine Pelletier Crédits Montage par Intrasecure inc Locaux virtuels par Riverside.fm

Parce que… c'est l'épisode 0x565! Shameless plug 1er au 3 avril 2025 - InCyber 2 au 4 avril 2025 - [Humaco] 8 et 9 avril 2025 - Cybereco 9 au 11 avril - Google Next ‘25 10 au 18 mai 2025 - NorthSec 27 au 30 mai 2025 - Cycon 4 au 6 juin 2025 - SSTIC 12 au 17 octobre 2025 - Objective by the sea v8 Novembre 2025 - European Cyber Week 25-26 février 2026 - SéQCure 2026 Description Collaborateurs Nicolas-Loïc Fortin Steve Bélanger Camille Felx Leduc Marc Potvin Crédits Montage par Intrasecure inc Locaux virtuels par Riverside.fm

Parce que… c'est l'épisode 0x564! Shameless plug 1er au 3 avril 2025 - InCyber 2 au 4 avril 2025 - [Humaco] 8 et 9 avril 2025 - Cybereco 9 au 11 avril - Google Next ‘25 10 au 18 mai 2025 - NorthSec 27 au 30 mai 2025 - Cycon 4 au 6 juin 2025 - SSTIC 12 au 17 octobre 2025 - Objective by the sea v8 Novembre 2025 - European Cyber Week 25-26 février 2026 - SéQCure 2026 Description Collaborateurs Nicolas-Loïc Fortin Dominique Derrier René-Sylvain Bédard Vanessa Deschênes Steve Lavoie Alexandre Roy Crédits Montage par Intrasecure inc Locaux réels par La Nef

Parce que… c'est l'épisode 0x563! Préambule Shameless plug 1er au 3 avril 2025 - InCyber 2 au 4 avril 2025 - [Humaco] 8 et 9 avril 2025 - Cybereco 9 au 11 avril - Google Next ‘25 10 au 18 mai 2025 - NorthSec 27 au 30 mai 2025 - Cycon 4 au 6 juin 2025 - SSTIC 12 au 17 octobre 2025 - Objective by the sea v8 Novembre 2025 - European Cyber Week 25-26 février 2026 - SéQCure 2026 Description Notes À venir Collaborateurs Nicolas-Loïc Fortin Mathieu Lavoie Alexandre Côté-Cyr Crédits Montage par Intrasecure inc Locaux virtuels par Riverside.fm

Mandiant consultants Will Silverstone (Senior Consultant) and Omar ElAhdan (Principal Consultant) discuss their research into cloud compromise trends over 2023.  They discuss living off the land techniques in the cloud, the concept of the extended cloud attack surface, how organizations can better secure their identities, third party cloud compromise trends, and more.  Will and Omar's talk at Google Next: https://www.youtube.com/watch?v=Fg13kGsN9ok&t=2s

Unlock the secrets of AI's transformative power with latest episode live from Google Next, where UPS's story takes center stage. Joined by AI trailblazers like Bruno Aziza of CapitalG and Pinaki Mitra from UPS, we delve into how UPS is tackling package theft and reshaping package delivery. This isn't just another discussion; it's a firsthand look at how AI and data analytics converge to solve real-world challenges, improving security and efficiency in the e-commerce landscape.Ever wonder how AI can streamline your business operations? Our panelists, including Sanjeev Mohan of Sanjmo and Alok Pareek from Striim, reveal the nuts and bolts of integrating AI into supply chain processes and the pivotal role of data lifecycle management. From enhancing address validation to offering insights for small and medium enterprises, we uncover the practical benefits of AI and the importance of a meticulous approach to data management. Get ready to be inspired by the parallels drawn between packet delivery and data event observability, and the critical steps for aligning AI with your business strategy.We wrap up by exploring the broad implications of generative AI across industries, with case studies that will alter your perspective on AI's potential. Whether it's summarizing legal documents or mining data for pharmaceutical insights, the versatility of AI is showcased in its full glory. We extend our heartfelt thanks to our live audience and listeners, encouraging you to engage with the innovative ideas shared at Google Cloud Next and reminding you of the importance of robust data foundations in harnessing AI's full potential. Join us for a conversation that promises not just to inform but to transform the way you view the intersection of AI and business.“UPS AI Battle Porch Pirates.” ABC News, Good Morning America. Accessed April 10th, 2024. https://abcnews.go.com/GMA/News/video/ups-ai-battle-porch-pirates-103459177.What's New In Data is a data thought leadership series hosted by John Kutay who leads data and products at Striim. What's New In Data hosts industry practitioners to discuss latest trends, common patterns for real world data patterns, and analytics success stories.

In this latest episode, Geoff Scott, of ASUG, joins Mustansir Saifuddin to discuss what is required for businesses to be successful with Gen AI as they prepare for the future. With more than 20 years of leadership and technology experience, including seven years of extensive SAP implementation and operations experience, Geoff understands the impact of Gen AI in digital transformation. Listen in as he also highlights how ASUG is supporting the SAP ecosystem on the Gen AI journey. Geoff Scott, is CEO and Chief Community Officer of ASUG, believes that the connections ASUG makes for our members have the potential to become career-defining relationships that inspire innovation and success for their organizations. His forward-thinking leadership prioritizes helping our members make the most of their investment in SAP technologies. To that end, Geoff works closely with customers, members, the SAP Executive Board, and the extensive partner ecosystem to amplify the voice of the SAP customer.   Past positions include CIO for TOMS Shoes, where he led the implementation of SAP: CIO at JBS; and senior leadership positions at Ford Motor Company. Before becoming CEO, Geoff was an ASUG member and served on the board. Geoff has served on several philanthropic boards and is the founding member of the Denver CIO Executive Council.  Connect with Us: LinkedIn Mustansir Saifuddin Innovative Solution Partners  Twitter:  @gscott16 @Mmsaifuddin YouTube or learn more about our sponsor Innovative Solution Partners to schedule a free consultation.    Episode Transcript   Welcome to Tech-Driven Business brought to you by Innovative Solution Partners. I'm honored to have Geoff Scott, CEO of ASUG, joins me to discuss what is required for businesses to be successful with Gen AI as they prepare for the future. He'll also share valuable insights on how ASUG is supporting the SAP ecosystem on the GEN AI journey. [00:00:02.560] - Mustansir Welcome to TechDriven business, Geoff. How are you?   [00:00:11.190] - Geoff I'm wonderful. How are you today?   [00:00:13.480] - Mustansir I'm doing great. Thank you. Thank you for joining our show.   [00:00:17.570] - Geoff Pleasure to be here. Thank you for having me. Or I should say, you can make that decision after we're done today.   [00:00:23.130] - Mustansir All right. Sounds like a plan. Hey, it's always good to have you, Jeff, especially meeting in person every year, either in the volunteer meeting or at Sapphire or other events. It's always fun to have that conversation with you. Glad to have you on our show.   [00:00:38.390] - Geoff What a pleasure to be here. I want to thank you for your connection and commitment to ASUG, your commitment to the Michigan chapter, one of our most wonderful places to be in all of the United States. I have close ties to Michigan, so it's always wonderful to hear Go Green, for those who are Michiganders, my alma mater. I think that being part of ASUG and being part of this The SAP community is really a tremendous thing. I've been doing the CEO job at ASUG for 10 years. Every year, as you mentioned, we get all 300 volunteers together to plan the year and celebrate our successes and talk about our challenges. It's a tremendous things. So I encourage everyone to be part of ASUG. If you are an SAP professional and you want to be at the top of your game of SAP, there's no better place to be than being an active part of ASUG, which you are. I want to thank you for that.   [00:01:28.530] - Mustansir I second that. Thank you. Thank you. So today, we will be talking about how digital transformation in AI is changing the business landscape. How does that sound to you?   [00:01:39.350] - Geoff I think that sounds like a tremendous conversation.   [00:01:42.040] - Mustansir It absolutely is, and it's going to be fun. So let's start with the basics. Jeff, you have been around for a long time, not counting your-Original dinosaur. Hey, it's all good. But your extensive background with SAP. Can you share with our listeners a brief overview of your career journey?   [00:02:03.150] - Geoff Well, I would love to. As we just spoke about, 10 years as the CEO of Asug, and I don't love the CEO title. I like to think of myself as the Chief Community Champion. My job is to rally us as a community around this SAP software and make sure all of us are getting the most value from it. The organizations that are purchasing the software, we as all professionals in investing our careers into this amazing ecosystem, it's very important that we feel like we make forward progress. We feel that this is a place where we can learn, connect, and grow, which are three of our very important ASUG pillars. That's been a tremendous journey for me for the last 10 years. I didn't come into this intentionally. Prior to that, I was a CIO. I was at Tom's Shoes in Los Angeles. Prior to that, at a beef company, small beef company, only the third largest in the world, in Greenley, Colorado, where we were also an SAP shop. That was where I cut my teeth on being a full-time SAP advocate. Then prior to that, in your neck of the woods, in your backyard, in Deerborn, Michigan, doesn't take a lot to figure out what's in Deerborn these days.   [00:03:08.510] - Geoff So I was there for almost 10 years doing lots of different IT work. And then obviously prior to that, consulting in college and being a teenager and things like that.   [00:03:20.120] - Mustansir That's a wonderful background, Jeff. It's okay. I think the best part about this is being in your role, the role that you're playing at ASOG, your background or your history really brings that tremendous amount of knowledge and technology know-how, which really is what a lot of ASA customers or in general, SAP folks who are dealing with technology on a daily basis can utilize your know-how and your in-depth knowledge of what's going on in the industry versus someone with a background in business. You don't really have that depth in terms of what you bring to the table.   [00:04:00.920] - Geoff You're very kind. You're very kind. In my career, I started off when I was going to college, just a little bit west from where you are. Again, go green. Then that's the last I'm going to say that today, maybe. My degree's in accounting, and I chose that field because I really wanted to understand how business worked. I figured the best way to figure out how business would work is to understand how the money moves around. Accounting was actually a fallback for me. I started I started off in finance, and then this will date me tremendously. Then the stock market collapsed back in the late '80s, and I went, Oh, wait a minute. I don't know I want to be on Wall Street anymore. I grew up in the suburbs of New York City, so I had this delusion I would go back into New York and be on Wall Street. I said, I don't think that's going to work so well. I went to accounting, and I found I liked it better. A little bit more pragmatic. Finance can be fairly esoteric. I came into consulting in IT because I always thought about IT as a way in which businesses can be more efficient.   [00:05:01.780] - Geoff I was always intrigued by how we could use technology to drive business outcomes. That has served me throughout my career. I really think about business outcomes first and technology second.   [00:05:13.390] - Mustansir Absolutely. I think that's what really counts, how business drives technology. That takes me to my next discussion point. Ai. Ai took the business world by storm last year. We all know that. How are ASOG and ASAP supporting their clients with navigating AI and Gen AI in particular. Everybody is about Gen AI, so I'd like to hear your thoughts on that.   [00:05:38.820] - Geoff Yeah, I think that generative AI and all the things related to AI, nothing new to that, Mustache. We've been around in the SAP ecosystem. Ai has been around for a long time. What was new in November of 2022 when ChatGPT first came onto the market was this thing of generative AI. Well, that was different. But most SAP practitioners, the people you and I are talking to today, would say, Hey, we've been filling around AI for a long time. Understanding PDF documents, understanding pictures, converting pictures to text, scanning documents, scanning invoices, making sure we can convert all that. None of that is terribly new. I think generative AI made it mainstream. What was back office technology that was used to achieve business the outcomes all of a sudden became available to the masses. And it became available to the masses in a very simple way. I can sit down, I can write a sentence into a computer, and it will produce paragraphs of very eloquent text. We can have a whole conversation about how accurate it is, but I could finally get this star tracky type of thing, or I could type a sentence in and I would get this back.   [00:06:55.320] - Geoff And I could do cute things. Tell me how to bake a cake in Shakespeare in English, and it would do it. I think it became a piece of technology that everybody could connect to, and that everybody includes the board of directors, the CEO, the rest of your business peers who can now say, I get it. I understand how this works, and I want that for my business. We can make this work for all of us.   [00:07:25.460] - Mustansir I think it's a very interesting point you mentioned, Jeff. We always talk about C-suite, right? And you know that in this-I'm one of them. Yeah, exactly, right? So we talk about, I still get involved with a lot of implementations and boots on ground. And I know that a lot of these technology implementations, you have this gap between the C-suite and folks who are actually involved in the technology day to day, right? Do you think Gen AI is going to close that gap? What is your take on that perspective? Bringing these two worlds together.   [00:08:03.730] - Geoff I think generative AI is going to be an incredibly interesting diversion or departure for all of us in the sense that we've talked about for a long for a long time, the importance of some things in the SAP ecosystem that are near and dear to our heart. Master data, accuracy of data, archiving, things that warm our hearts that make the business run for cover. You want to watch paint dry? Have a conversation about archiving. The challenge with all of that is if we really want to get the most value from a generative AI solution, whether it be SAP's Joule or ChatGuard, GPT or everything in between, our enterprise data has to be lined up correctly. I think this is where we're going to see a tremendous amount of energy and effort to understand how this enterprise data will form these models and make them work. There was an article in the New York Times, I think two weeks ago, and this is topical because last week I was in Las Vegas for a few days at Google Next. And I always go to Google Next, and I also like to try to make it to AWS and Microsoft's events as well, because it refreshes me and it makes me think about how to tackle these problems from different perspectives.   [00:09:29.500] - Geoff And that, coupled with the New York Times article was very interesting to me in that it appears we're running out of trainable data for these models, that our models now are demanding so much data that we can't fill them. And And so there was an interesting topic in Las Vegas about synthetic data, which I'm still wrapping my head around and what that means. I'm trying to understand how we get to the levels of data. We do know one thing that these generative AI models require a lot of data in order to give very effective answers. And even when they have a lot of data, they can still hallucinate. I mean, there's no greater data source than the English language over the last 300 years. And the cool thinking about it is it hasn't really changed all that much. I can take all that stuff and I can pour it in. And yeah, there's different dialects, but the English language or pick a language, French, whatever, it hasn't moved all that much. So the data is fairly stable. Sure. Is that true when we think about our enterprise data? And the problem that I see coming is if we have lots of historical data, what does it really mean?   [00:10:37.900] - Geoff How accurate is it? And then the second big question is, how relevant is it? And if both of those are not at the top of their game, you run a huge risk that your model is being trained on data that isn't accurate, isn't relevant, and then you expect it to give you amazing results. The thing that makes me chuckle is the notion of saying to a model running on top of your SAP data, Hey, what's the best product I should sell? And it spits back a product that you made 15 years ago because it might have been at the time the most profitable based in parts that you don't even have access to anymore. And the model doesn't know that. I think there's another really important part of this whole equation, and that is something that I call gray data. And gray data is the data that's in our heads, in our minds, which is what we use to make decisions that the AI models have zero knowledge of. And the only way long term an AI model will be able to replicate what you do, what I do, what anyone listening today does, is it has exactly what's up in your head.   [00:11:42.850] - Geoff And it's not going to. We still know today in you're involved in SAP implementations all the time, that it takes someone interpreting that data, oftentimes, to understand what it's saying and what cues it's giving. Ai doesn't understand that because it's missing all the stuff that's in your gray space. And if that's the case, and how much of the data that you use to run your enterprise is gray data versus bits and bytes. If the answer is greater than 50 %, 60 %, 70 %, wow, we got a lot of missing data, and the model is not going to be that effective.   [00:12:17.980] - Mustansir For sure. I think it's an interesting point you mentioned about historical data and the quality of data. And that leads me into this next conversation about, I'm an analytics person in data focus. And it's all about good information will produce good results, right? So from that perspective, I'm curious, what are you seeing with ASUG members as it applies to their approach, especially to real-time data and analytics, and also the move to the cloud? Because a lot of things are happening in the cloud. So what is your take in this whole space?   [00:12:53.370] - Geoff Well, certainly, I believe that if you are going to want to participate, play in in a generative AI, AI space, and you say, and probably before you make that conclusion, you have to ask a question, which is, where do you and your organization want to be on the innovation curve? Do you want to be on the very front of it? Do you want to be in the middle of it? Where do you want to be? Now, if you want to be on the very, very back end of the innovation curve, continue doing what you're doing today. If you want to be to the middle of the innovation curve or the front end, and I think about it as a bell curve. If you want to be to the middle to the front end of that curve, and most people don't want to be at the front, you need a lot of courage and a lot of strength to be. That's the scary place. But there are organizations that are there. Let's say you want to be safely in the middle. I don't want to lead the pack. I don't want to trail the pack. I want to be right in the middle.   [00:13:47.870] - Geoff It necessitates three things, I firmly believe. Number one, you have to be in the cloud. Number two, you have to really think about your software investments as software as a service. You're moving the requirement for changes and updates to the software vendor in this world SAP. Number three, as little customization as possible. If you can If you can do those three things and you can do them well, you have the greatest likelihood that you will be able to take all this innovation, absorb it and go. Which to your question is, when you talk about analytics, when you talk about predictive analytics, that's what you're going to For many, many SAP customers, that is a tectonic shift in perspective. And certainly, the longer you have been an SAP customer, and the more customizations you have made for whatever reason. Your business process doesn't line up with SAP's. Sap didn't have a solution for you at the time. We talk about this thing of technical debt, and where I quibble with some of the leading thought people is We tend to say and infer the technical debt is bad. Well, I don't think any of us as SAP practitioners wake up in the morning and say, Today is the day I'm going to build a lot of technical debt.   [00:15:11.820] - Geoff There are some good reasons for it. There might be some bad reasons for it, too. I don't know how to do something, so I'm just going to code it. I get it, but I don't necessarily believe that the technical debt is something that we all strive for. Motherhood and apple pie, as few customizations as possible. The problem now is the stakes are way up because we've learned that you have to be in cloud, you have to be in SaaS, and you have to be almost no customization in order to adopt fast. And that means that we have to be super careful about customization. That creates another problem inside most organizations, and that is how do you handle change control and how do you handle organizational change management? So the IT folks say, Hey, this is good for me. No customization. I'm good to go. And the business says, Well, wait a minute here. I have to retrain thousands of people across 16 time zones in 32 different geographies, and that's hard. And it is. And it is. So how do we find that necessary balance? And I think if you've been on SAP a long time, that transition is not going to happen overnight.   [00:16:14.000] - Geoff It's going to be multiple years, maybe even a decade, dare I say. And if you haven't started your S/4 migration yet, you are fastly running out of time. And so there's no time like the present to start working on that, because absent that, you are going to be perpetually behind. And I don't want to be Cavalier here, Mustanzer, because what I just described is an epic undertaking. But if you get there, predictive analytics is super interesting, right? We have got to figure out a way to take our technology professionals and find ways for them to have more time. Because if we really want to do predictive analytics, it requires us to jump into data sets. It requires us to look at data, plant floor data, log data, all these other things where we haven't traditionally looked for things. In order to find those patterns and those indications and those clues that help us sell more, get more efficient, do other things. And that requires time. And in order to get that time, we have to be more efficient. So if we're going to spend all of our time working on customizations of SAP, we are not going to be doing predictive analytics.   [00:17:18.870] - Mustansir For sure. And I think that's one of the key points you mentioned about that, right? Stop spending time on doing things that are not adding any value, especially in this fast pace, changing constantly on a daily basis. And you put AI in the middle of all this, all of a sudden, your stakes are different, your challenges are different. And at the same time, the time to make those decisions is shrinking for you. So for organizations to be nimble and be able to act quickly, I mean, all the things you just mentioned, I think they go hand in hand, especially a lot of times folks think about analytics as a byproduct, right? It's after the fact. And then What we're thinking or what are you talking here at this point is put analytics in front because that will drive that whole behavior of change of exactly what is important to me. Predictive is one part of it. There's so many different aspects of information which you can put your right brains and your geeks. I mean, everyone has got geeks in the organization. I mean, you want to put those folks to good use. And the best way you can do it is having that Get ahead of the curve, right?   [00:18:31.520] - Mustansir Don't wait, basically.   [00:18:32.910] - Geoff That's what I'm hearing. A hundred %. And I'm excited about the potential of AI to help us migrate systems faster. I'd like to see us use AI to help understand quality in data, to help us understand how we lift and shift business processes out of legacy systems into new systems. I'd like to understand how we use AI to drive business test cases, quality assurance. I believe that we are at a massive inflection point where the upgrading of these systems, you asked a question earlier about digital transformation. We have to move to the next generation of SAP software. I believe that unlocks the gateway to everything we're talking about today. That cannot be a five-year project. We have got to figure out as technology professionals how to automate it, how to make it faster, how to do it and how to make sure we can get an unlock value faster. It's my biggest ask of SAP, and in conversations that I have with their CEO and their leadership team, please stop making new SKUs for new software licenses. I implore you to make your software easier to migrate and uplift and move to the next generation.   [00:19:53.220] - Geoff And can we use some of these AI ML tools to achieve that? It's essential.   [00:19:58.860] - Mustansir For sure. No, for sure. And I think talking about all this technology and SAP, let's come back to our conversation ASAG. Asag is a great start in 2024, right? I mean, personally, I know we had over 150 people at our Michigan Chapter meeting back in February. That is absolutely amazing. So what can ASEC members expect this year from their membership? Can you delve into that?   [00:20:26.820] - Geoff 100 %. First and foremost, I think you said the most important thing where we're seeing the most interest, the most excitement is in our 39 chapters. So if you are an SAP professional and you want to be at the top of your game and you want to learn, connect, and grow, you don't have to jump on an airplane. And of course, we're welcoming you to do that. You don't have to spend hotel room nights. Go to your local ASUG chapter and become involved. You will meet people like you who want to get ahead and understand how to solve problems using SAP. And you're You're in the middle of the Michigan SAP scene. It's amazing. So go spend time there, which is a huge pitch for what you do and why you volunteer is because you want to be part of what's happening on the ground, real-time in geography. And that is what the chapter organization is here to do. And I would really like to see that over the next three to five years grow to epic proportions. I have a challenge. I want to see your Michigan meeting not be just 150 people. I want it to be 350 people.   [00:21:33.460] - Geoff That, to me, is exciting, which is a very different change of perspective from us. But I think in a post-pandemic world, what a great opportunity to get out from behind your laptop. And whether you're back in the office or still working remotely, go spend time with your friends in an ASUG chapter event in Michigan or in California or in Florida. Pick a place and just go and have fun and meet your peers. It'll be so wonderful for you. If that's not good enough, then And enjoy some of the other events that we do. Get online and do some research and education there. We have ASUG annual conference and SAP Sapphire coming up in June. In the fall, we have SAP for utilities. We have ASUG best practices, which is a whole source of industry-based events. And then we cap off the year. This is my most exciting event. We cap off the year in West Palm Beach, Florida, November 12th through 14th with ASUG Tech Connect. It used to be called TechEd, but we've reconfigured TechEd with SAP. So TechEd is a virtual program. But in North America, it's ASUG Tech Connect. So if you want to wrap up 2023, sorry, 2024, getting my years all confused, and get ready for an amazing 2025, ASUG Tech Connect is the place to be.   [00:22:46.120] - Geoff And I think those are fine. What else can you do? First Five newsletter comes out every Monday morning. It's an amazing place to just get a recap of the top five articles that happened in the SAP ecosystem over the last week. Podcast, you and I are in a podcast Today. Everyone's doing podcast. Aseg does podcast. Be there. Let's get together at Campus Connect. Citadel University, University of Texas at Dallas, Fayetteville State University, and then my favorite at Michigan State University. There's my last plug for Go Green, are all very much in the Campus Connect program. What a great way to have this next generation of talent, get excited about the careers that we've been so fortunate to have in the SAP ecosystem.   [00:23:29.360] - Mustansir For I think there is a lot to learn. And the best thing about it, like you said, there's so many mediums. You pick what makes sense to you, what really florts your boat, especially after the pandemic. A lot of folks are open to coming out and meeting others and getting to know what's coming exciting. No, put it this way. Excitement is one thing. You get to meet people and either it's online, either it's in person or you're traveling somewhere else. Or like you mentioned, June. June, big event. A lot of new things are being shared and you understand and know exactly where SAP is going, where ASAG wants to take you in your journey. And as an organization, you want to learn from your peers, right? And That's the best opportunity. And one thing I like about your plug for the November event, you cannot go wrong with it. Exactly. You end your year on something that you really want to take into next year, and that and search your basis for exactly what you want to do. A lot of opportunities. I really love the whole platform that you explained so well.   [00:24:37.180] - Geoff Thank you. There is a lot going on inside the SAP ecosystem. It is a wonderful place for professionals like you, me, and everyone else, 130,000 of us in North America, to make our home, to learn, connect, grow, to thrive. And all you got to do is just raise your hand and go to a chapter meeting, meet with people outside of your your standard core team that you might be working on SAP for, and the whole world will be unlocked for you. And it'll make you feel like what you're doing has value, that the things you're learning can have a place in this broader ecosystem. We are going to need a lot more talent who stands there in the next 10 years than we have today. It frightens me about how much change is happening, and I believe we all find very rewarding careers inside of SAP.   [00:25:27.700] - Mustansir Now, I think the future is really bright And I know we can talk for hours, Jeff. I mean, your knowledge, your passion for technology and SAP. But I do have to finish our session, our talk for today. I'd like to leave with this one question for you. As far as topics and discussions you covered, what is the one key takeaway that you want our listeners to leave with?   [00:25:55.440] - Geoff I believe the key takeaway today is generative AI is real. The faster you get in and start contemplating what it can and can't do. We are trying inside of Asug lots of different technologies, and we're fiddling, and we have this experimental culture. Let's go try some stuff. It's good. And I think we We're doing a lot with video to text, recaps, things like that. I think there's a ton of upside to all of this. Go get yourself immense in AI.   [00:26:25.780] - Mustansir Yeah, for sure. I think that's a great advice. And It seems like a lot of folks who are still on the edges, it's time for them to move on and get on this bandwagon because this train has started rolling and there's no stopping. At least I don't see it in the near future.   [00:26:43.870] - Geoff Today is the worst day AI ever will be. It will get better from here, and it's going to be on an exponential scale. So don't wait another three, four weeks or months or years. Get in now.   [00:26:54.490] - Mustansir Great advice. Thank you. Now, this is an awesome conversation. Really enjoyed the talk, and I would love to get you back in the future. Whenever you need. Feedback on how things have settled down once we traverse through the 2024.   [00:27:10.980] - Geoff We are here for you, and I appreciate greatly everything you do for the community, for the SAP community, for ASUG, and everything you do in Michigan. Thank you.   Thanks for listening to Tech-Driven Business brought to you by Innovative Solution Partners. Geoff delved deep into the transformative power of Gen AI shared valuable insights on how organizations can transform business with Generative AI. His main takeaway? Generative AI is real. Go get yourself immersed in AI as today is the worst day AI will ever be. We'd love to hear from you. Continue the conversation by connecting with me on LinkedIn or Twitter. Learn more about Innovative Solution Partners and schedule a free consultation by visiting isolutionpartners.com. Never miss a podcast by subscribing to our You Tube channel. Information is in the Show Notes

Welcome to episode 256 of the Cloud Pod podcast – where the forecast is always cloudy! This week your hosts, Justin and Matthew are here this week to catch you up on all the news you may have missed while Google Next was going on. We've got all the latest news on the custom silicon hot war that's developing, some secret sync, drama between HashiCorp and OpenTofu, and one more Google Next recap – plus much more in today's episode. Welcome to the Cloud!  Titles we almost went with this week: I have a Google Next sized hangover Claude's Magnificent Opus now on AWS US-EAST-1 Gets called Reliable; how insulting The cloud pod flies on a g6  A big thanks to this week's sponsor:   Check out Sonrai Securities’ new Cloud Permission Firewall. Just for our listeners, enjoy a 14 day trial at www.sonrai.co/cloudpod General News  Today, we get caught up on the other Clouds from last week, and other news (besides Google, that is.) Buckle up.  04:11 OpenTofu Project Denies HashiCorp's Allegations of Code Theft  After our news cutoff before Google Next, Hashicorp issued a strongly worded Cease and Desist letter to the OpenTofu project, accusing that the project has “repeatedly taken code Hashi provided under the BSL and used it in a manner that violates those license terms and Hashi's intellectual properties.” It notes that in some instances, OpenTofu has incorrectly re-labeled Hashicorp's code to make it appear as if it was made available by Hashi, originally under a different license.  Hashi gave them until April 10th to remove any allegedly copied code from the OpenTofu repo, threatening litigation if the project failed to do so.  OpenTofu struck back – and they came with receipts!  They deny that any BSL licensed code was incorporated into the OpenTofu repo, and that any code they copied came from the MPL-Licensed version of terraform. “The OpenTofu team vehemently disagrees with any suggestions that it misappropriated, mis-sourced or misused Hashi's BSL code. All such statements have zero basis in facts” — Open Tofu Team OpenTofu showed how the code they accused was lifted from the BSL code, was actually in the MPL version, and then copied into the BSL version from an older version by a Hashi Engineer.  Anticipating third party contributions might submit BSL terraform code unwittingly or otherwise, OpenTofu instituted a “taint team” to compare Terraform and Open Tofu Pull requests. If the PR is found to be in breach of intellectual property rights, the pull request is closed and the contributor is closed from working on that area of the code in the future.  Matt Asay, (from Mongo) writing for Infoworld, dropped a hit piece when the C&D was filed, but then

Amina Al Sherif - Google Next '24 by The Daily Scoop Podcast

Karen Johnson Google Next '24 by The Daily Scoop Podcast

In this episode, Warner is joined by Whit Walters to discuss the main announcements from the Google Next 2024 conference in Las Vegas. These include the new Gemini 1.5 generative AI model, new AI capabilities in Workspace, improvements coming to AlloyDB, BigQuery and more!

Welcome to episode 255 of the Cloud Pod podcast – where the forecast is always cloudy! This week your hosts, Justin, Jonathan, Matthew and Ryan are here to tackle the aftermath of Google Next. Whether you were there or not, sit back, relax, and let the guys dissect each day's keynote and the major announcements.  Titles we almost went with this week: How About Some AI? “The New Way to Cloud” is a Terrible TagLine (and is what happens when you let AI do your copy) Welcome Google Cloud Next Where There is No Cloud, Just AI  Ok Google, did your phone go off? For 100 dollars, guess how many AI stories Google Has This Week  From Search to Skynet: Google Cloud Next's Descent into AI Madness ‘Next' Up from Google – AI!   Have Some Conference with Your AI  A big thanks to this week's sponsor: We've got a new sponsor! Sonrai Security   Check out Sonrai Securities’ new Cloud Permission Firewall. Just for our listeners, enjoy a 14 day trial at sonrai.co/cloudpod GCP – Google Next 2024 We're jumping right into GCP this week, so we can talk about all things Google Next.  01:44 FIrst impressions: Vegas > Moscone, so take that Vegas.  Both Ryan and Justin agree that Vegas is much better than the Mosconoe center in San Francisco for Google Next The Sessions were well organized, but Ryan is a little tired from walking back and forth between them. Exercise is tiring! Vegas infrastructure was well utilized, something Amazon didn't do as well.  Folks staying at area hotels that *weren’t* Mandalay Bay had some issues with trying to get onto / off  property at the beginning and end of the day.  Free coffee is still available. *If you can find it.  Expo hall felt cramped 08:22 Thoughts on the Keynote Address  Note: Not enough space in the arena for keynotes; the arena holds approx. 12k; numbers released by Google say there were 30k in attendance.  Thomas Kurian kicked off the keynote, introduced their new tagline “The New Way to Cloud” Sundar: Months can feel like decades in the cloud… WORD. 36B revenue run rate Kurian did a rapid fire announcement of all the things coming – which required Justin to rewatch just to get them all.  A3 Mega Nvidia H100 GPUs Nvidia GB200 NVL72 (in early 2025 TPU v5p GA Hyperdisk ML for Inference Cloud Storage Fuse Caching GA Parallel Store Caching AI Hypercomputer Dynamic Workload Scheduler Nvidia GPU Support for GDC Google Distributed Cloud GKE Enterprise for GDC AI Models on GDC Vector Search on GDC Vertex AI Solutions with GDC Secret and Top Secret

Google and Marriott have joined forces to offer co-sharing services through the Marriott Bonvoy program. At the Google Next 2024 conference, the focus was on AI, particularly generative AI and the Gemini brand series. The conference showcased advanced features like AI ops and ML ops, but concerns were raised about the cost and lack of guidance for implementing AI technologies. The emphasis was on improving communication between business users and technologists. Other announcements included new infrastructure options, database AI features, and security controls. Data governance and AI governance were highlighted as crucial in the industry, with vendors offering data catalogs and semantic layers to improve data quality and accessibility.

Google and Marriott have joined forces to offer co-sharing services through the Marriott Bonvoy program. At the Google Next 2024 conference, the focus was on AI, particularly generative AI and the Gemini brand series. The conference showcased advanced features like AI ops and ML ops, but concerns were raised about the cost and lack of guidance for implementing AI technologies. The emphasis was on improving communication between business users and technologists. Other announcements included new infrastructure options, database AI features, and security controls. Data governance and AI governance were highlighted as crucial in the industry, with vendors offering data catalogs and semantic layers to improve data quality and accessibility.

Today we have a special interview recorded from the Mandalay Bay Resort and Casino in Las Vegas, which last week was home of Google Cloud Next 2024. While there, I had the tremendous opportunity to speak at length with Karen Dahut, Google Public Sector CEO. During our conversation, we covered a lot of ground, taking in all of the announcements from Next, reflecting on the upcoming two-year birthday of Google Public Sector and what's been accomplished in that time, how generative AI is permeating the public sector, and what's ahead. This is one of many interviews captured at Google Next, so make sure to tune into the others released throughout this week.

In this week's episode of "AI Powered by People," hosts Sarah Nagle and Chad Reynolds explore the utilization of AI across various industries. Chad shares his experiences from the Google Cloud Next '24 event, including Vurvey's launch of 'vTeam,' aimed at enhancing creativity and workflow integration using AI. The episode highlights a comprehensive interview with Ovetta Sampson, the Director of UX and Machine Learning at Google, who shares her AI and human-centered design expertise. Ovetta Sampson provides insights into how AI is integrated into various sectors, stressing the importance of human-centered machine learning and its impact on user experience design. Listeners are given a thorough understanding of the latest AI technologies, their application across industries, and insights into creating effective AI policies within organizations. This episode is valuable for professionals looking to integrate AI into their operations more effectively.Vurvey.ai

This week, we discuss Matt Asay accusing OpenTufu of "lifting code" and recap the Google Next '24. announcements. Plus, we share some thoughts on camera placement and offer listeners a chance to get free coffee beans. Watch the YouTube Live Recording of Episode (https://www.youtube.com/watch?v=2VBJU8UdLOA) 462 (https://www.youtube.com/watch?v=2VBJU8UdLOA) Runner-up Titles Hey, I'm VP of Cables, not VP of Hubs. Well, I still have meetings. The Cote' Experience ClosedTofu Our Cloud is Huge(tm) Rundown Matt Asay vs. OpenTofu OpenTofu may be showing us the wrong way to fork (https://www.infoworld.com/article/3714980/opentofu-may-be-showing-us-the-wrong-way-to-fork.html) OpenTofu vehemently disagrees with any suggestion that it misappropriated (https://twitter.com/opentofuorg/status/1776398008558493991?s=46&t=kiCCT8LlOOqj0WYcmUddTg) Matt Asay (https://x.com/mjasay/status/1776635226124632423?s=46&t=EoCoteGkQEahPpAJ_HYRpg) Follow up Tweet Bryan Cantrill (https://x.com/bcantrill/status/1775962870762844212) calls it an extraordinarily serious accusation Adam Jacob says “incendiary claim with no actual facts backing it up. The code looks completely different. (https://twitter.com/adamhjk/status/1775663819693703674) Google Cloud Next '24 Introducing Google's new Arm-based CPU (https://cloud.google.com/blog/products/compute/introducing-googles-new-arm-based-cpu/) Google's first Arm-based CPU will challenge Microsoft and Amazon in the AI race (https://www.theverge.com/2024/4/9/24125074/google-axion-arm-cpu-ai-chips-cloud-server-data-center) Welcome to Google Cloud Next ‘24 | Google Cloud Blog (https://cloud.google.com/blog/topics/google-cloud-next/welcome-to-google-cloud-next24) Gemini for Google Cloud is here | Google Cloud Blog (https://cloud.google.com/blog/products/ai-machine-learning/gemini-for-google-cloud-is-here) Google Cloud Next '24 Opening Keynote (https://www.youtube.com/watch?v=V6DJYGn2SFk) Google Cloud Next '24 Developer Keynote (https://www.youtube.com/watch?v=KMH5OcW5UYw) Relevant to your Interests WhatsApp goes down in Meta's second big outage this year (https://techcrunch.com/2024/04/03/whatsapp-goes-down-in-metas-second-big-outage-this-year/) Alphabet is weighing an offer for $32 billion marketing tech firm HubSpot, sources say (https://finance.yahoo.com/news/exclusive-google-parent-alphabet-weighs-134439629.html) OpenStack debuts its first easy-to-upgrade release (https://www.theregister.com/2024/04/04/openstack_caracal_released/) No, Amazon Isn't Killing Just Walk Out But Rather “Pushing Hard” On It (https://www.forrester.com/blogs/no-amazon-isnt-killing-just-walk-out-but-rather-pushing-hard-in-it/) Substack Is Setting Writers Up For A Twitter-Style Implosion (https://homewiththearmadillo.blog/2024/04/02/substack-is-setting-writers-up-for-a-twitter-style-implosion/comment-page-1/#comments) Why WASI Preview 2 Makes WebAssembly Production Ready (https://thenewstack.io/why-wasi-preview-2-makes-webassembly-production-ready/) Why Broadcom may set the future of software licensing (https://www.theregister.com/2024/04/05/the_world_is_watching_broadcom/) Rust developers at Google twice as productive as C++ teams (https://www.theregister.com/2024/03/31/rust_google_c/) New York City defends AI chatbot that advised entrepreneurs to break laws (https://www.reuters.com/technology/new-york-city-defends-ai-chatbot-that-advised-entrepreneurs-break-laws-2024-04-04/) Apple opens the App Store to retro game emulators (https://www.theverge.com/2024/4/5/24122341/apple-app-store-game-emulators-super-apps) The Status of Just Walk Out, TSMC Gets CHIPS Act Grant (https://stratechery.com/2024/the-status-of-just-walk-out-tsmc-gets-chips-act-grant/) Baldur's Gate 3 Dev Larian's Publishing Director Calls Games Industry Layoffs an 'Avoidable F*ck Up' - IGN (https://www.ign.com/articles/baldurs-gate-3-dev-larians-publishing-director-calls-games-industry-an-avoidable-fck-up) Access: A New Portal for Managing Internal Authorization (https://discord.com/blog/access-a-new-portal-for-managing-internal-authorization) Android's upgraded Find My Device network is here (https://www.theverge.com/2024/4/8/24124174/android-find-my-device-network-offline-tracker-tag-chipolo-pebblebee) Gemini 1.5 Makes a Scholarly Connection that Took Me Years to Find (https://www.reddit.com/r/singularity/comments/1bkcjs4/gemini_15_makes_a_scholarly_connection_that_took/) Android's upgraded Find My Device network is here (https://www.theverge.com/2024/4/8/24124174/android-find-my-device-network-offline-tracker-tag-chipolo-pebblebee) KKR Weighs Sale or IPO for $15 Billion BMC Software (https://www.bloomberg.com/news/articles/2024-04-10/kkr-is-said-to-weigh-sale-or-ipo-for-15-billion-bmc-software?utm_source=twitter&utm_campaign=socialflow-organic&utm_content=tech&cmpid%3D=socialflow-twitter-tech&utm_medium=social&embedded-checkout=true) Nonsense Dude Perfect scores $100M+ investment from Highmount Capital (https://www.axios.com/2024/04/09/dude-perfect-investment-highmount-capital) Costco selling as much as $200M in gold bars per month, Wells Fargo estimates (https://nypost.com/2024/04/10/business/costco-selling-as-much-as-200m-in-gold-bars-per-month-wells-fargo/) Listener Feedback The first person to send their United States postal address to sdt@newinstancecoffee.com (mailto:sdt@newinstancecoffee.com) will receive a bag of Dawn Python (https://www.newinstancecoffee.com/dawn-python-v2-available/) Coffee Beans from New Instance Coffee (https://www.newinstancecoffee.com/). Conferences Open Source Summit North America (https://events.linuxfoundation.org/open-source-summit-north-america/), Seattle April 16-18. Matt's speaking. NDC Oslo (https://substack.com/redirect/8de3819c-db2b-47c8-bd7a-f0a40103de9e?j=eyJ1IjoiMmQ0byJ9.QKaKsDzwnXK5ipYhX0mLOvRP3vpk_3o2b5dd3FXmAkw), Coté speaking (https://substack.com/redirect/41e821af-36ba-4dbb-993c-20755d5f040a?j=eyJ1IjoiMmQ0byJ9.QKaKsDzwnXK5ipYhX0mLOvRP3vpk_3o2b5dd3FXmAkw), June 12th. DevOpsDays Amsterdam (https://devopsdays.org/events/2024-amsterdam/welcome/), June 19-21, 2024, Coté speaking. DevOpsDays Birmingham, August 19–21, 2024 (https://devopsdays.org/events/2024-birmingham-al/welcome/). SDT news & hype Join us in Slack (http://www.softwaredefinedtalk.com/slack). Get a SDT Sticker! Send your postal address to stickers@softwaredefinedtalk.com (mailto:stickers@softwaredefinedtalk.com) and we will send you free laptop stickers! 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Recommendations Brandon: Node.js: The Documentary (https://www.youtube.com/watch?v=LB8KwiiUGy0) How A Small Team of Developers Created React at Facebook | React.js: The Documentary (https://www.youtube.com/watch?v=8pDqJVdNa44) Matt: Qatar Airlines Stopover Tour (https://www.qatarairways.com/en/offers/qatar-stopover.html) Coté: Noah Kalina YouTubes (https://www.youtube.com/@NoahKalina) (follow-up: he's three years younger than Coté (https://en.wikipedia.org/wiki/Noah_Kalina), so same cultural cohort as theorized.) Photo Credits Header (https://unsplash.com/s/photos/Coffee-Beans?orientation=landscape) Artwork (https://unsplash.com/photos/a-computer-screen-with-a-bunch-of-text-on-it-1LLh8k2_YFk)

Live from the heart of Google Next'24 in Las Vegas, right from the Expo floor, we're bringing you a special limited series of episodes. Join us as we make connections between Google, AI, industry adoption, cloud transformation and customer experience. Plus, we'll keep you updated on all the latest news and juicy gossip.  On day three of the conference Dave, Sjoukje, and Rob talk to Kevin Shatzkamer, Managing Director Conversational AI about Accelerating Customer Experience meets AIMiku Jha, Director, AI/ML Partner Engineering, about Software engineering for generative meets AI.TLDR:00:55 Announcements from the Expo floor at Google Next'2406:45 Accelerating Customer Experience meets AI with Kevin Shatzkamer35:00 Software engineering for generative meets AI with Miku Jha01:05:40 The gang round the week offGuests:Kevin Shatzkamer: https://www.linkedin.com/in/kshatzka/Miku Jha: https://www.linkedin.com/in/mikujha/HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Sjoukje Zaal: https://www.linkedin.com/in/sjoukjezaal/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/ProductionMarcel Van Der Burg: https://www.linkedin.com/in/marcel-van-der-burg-99a655/Dave Chapman: https://www.linkedin.com/in/chapmandr/SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:  https://www.linkedin.com/in/louis-corbett-087250264/ 

Welcome to episode 254 of the Cloud Pod podcast – where the forecast is always cloudy! This week we're talking about trust issues with some security updates over at Azure, forking drama at Redis, and making all of our probably terrible predictions for Google Next. Going to be in Vegas? Find one of us and get a sticker for your favorite cloud podcast! Follow us on Slack and Twitter to get info on finding your favorite host IRL. (Unless Jonathan is your favorite. We won't be giving directions to his hot tub.) Titles we almost went with this week: The Cloud Pod Hosts Fail To Do Their Homework The Cloud Pod Now Has a Deadline  This Is Why I Love Curl … EC2 Shop Endpoint is Awesome AI & Elasticsearch… AI – But Not Like That  Preparing for Next Next Week A big thanks to this week's sponsor: We've got a new sponsor! Sonrai Security   Check out Sonrai Securities’ new Cloud Permission Firewall. Just for our listeners, enjoy a 14 day trial at www.sonrai.co/cloudpod Follow Up 02:15  AWS, Google, Oracle back Redis fork “Valkey” under the Linux Foundation In no surprise, placeholderKV is now backed by AWS, Google and Oracle and has been rebranded to Valkey under the Linux Foundation. Interestingly, Ericsson and Snap Inc. also joined Valkey.  03:19 Redis vs. the trillion-dollar cabals Anytime an open source company changes their license, AWS and other cloud providers are blamed for not contributing enough upstream.  Matt Asay, from Infoworld, weighs in this time. The fact that placeholder/Valkey was forked by several employees at AWS who were core contributors of Redis, does seem to imply that they’re doing more than nothing.  I should point out that Matt Asay also happens to run Developer relations at MongoDB. Pot, meet kettle.  04:14 Ryan – “It’s funny because I always feel like the cloud contribution to these things is managed services around them, right? It’s not necessarily improvements to the core source code. It’s more management of that source code. Now there are definitely areas where they do make enhancements, but I’m not sure the vast majority makes sense to be included in an open source made for everyone product either.” General News  07:01 What we know about the xz Utils backdoor that almost infected the world  The Open Source community was a bit shocked when a Microsoft Developer revealed a backdoor had been intentionally planted in xz Utils, an open source data compression utility available on almost all installations of Linux and Other Unix-Like OS.   The person – or people – behind this project like

Live from the heart of Google Next'24 in Las Vegas, right from the Expo floor, we're bringing you a special limited series of episodes. Join us as we make connections between Google, AI, industry adoption, cloud transformation and customer experience. Plus, we'll keep you updated on all the latest news and juicy gossip.  On day two of the conference Dave, Sjoukje, and Rob talk to: Nigel Walsh, Head of Global Insurance about Insurance meets AI. Paula Natoli, Director, Global Strategic Industries, Supply Chain and Logistics about Supply Chain meets AI Fabien Duboeuf, Industry Manager, Manufacturing about How AI is revolutionizing Production Operations and Customer ExperienceTLDR00:40 Announcements from the Expo floor at Google Next'2412:11 Insurance meets AI with Nigel Walsh32:55 Supply Chain and Logistics meets AI with Paula Natoli52:42 Cloud transform & customer experience meets AI with Fabien Duboeuf1:15:24 End GuestNigel Walsh: https://www.linkedin.com/in/nigelwalsh/Paula Natoli: https://www.linkedin.com/in/paula-natoli-952309/Fabien Duboeuf: https://www.linkedin.com/in/fabien-duboeuf-1605504/ HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Sjoukje Zaal: https://www.linkedin.com/in/sjoukjezaal/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/ ProductionMarcel Van Der Burg: https://www.linkedin.com/in/marcel-van-der-burg-99a655/Dave Chapman: https://www.linkedin.com/in/chapmandr/ SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:  https://www.linkedin.com/in/louis-corbett-087250264/

Live from the heart of Google Next'24 in Las Vegas, right from the Expo floor, we're bringing you a special limited series of episodes. Join us as we make connections between Google, AI, industry adoption, cloud transformation and customer experience. Plus, we'll keep you updated on all the latest news and juicy gossip.  On day one of the conference Dave, Sjoukje, and Rob talk to Erwan Menard, Director Product Management and Customer Activation, Cloud AI about Innovation meets AI and with Justin Keeble, Managing Director for Global Sustainability about Sustainability meets AI. TLDR:00:40 Announcements from the Expo floor at Google Next'2408:38 Innovation meets AI with Erwan Menard 30:02 Sustainability meets AI with Justin Keeble49:31 EndGuests:Erwan Menard: https://www.linkedin.com/in/erwanmenard/Justin Keeble: https://www.linkedin.com/in/justinkeeble/HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Sjoukje Zaal: https://www.linkedin.com/in/sjoukjezaal/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/ProductionMarcel Van Der Burg: https://www.linkedin.com/in/marcel-van-der-burg-99a655/Dave Chapman: https://www.linkedin.com/in/chapmandr/SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:  https://www.linkedin.com/in/louis-corbett-087250264/ 

Google announced new Arm-based Tensor AI chips for data centers called Axion, Microsoft is investing $2.9 billion in data centers in Japan, and the Biden Administration will announce $6.6 billion in CHIPS Act grants to Samsung next week. MP3 Please SUBSCRIBE HERE. You can get an ad-free feed of Daily Tech Headlines for $3 aContinue reading "Google Makes Major Announcements At Its Google Next Conference – DTH"

In this episode of AI Powered by People, co-hosts Sarah Nagle and Chad Reynolds announce Vurvey's upcoming participation at Google Next, highlighting Vurvey's innovative contributions to AI-driven insights from multimodal data. The episode features an in-depth conversation with Adam Dodge, founder of EndTAB, discussing the serious issue of deepfakes and technology abuse, particularly focusing on its impact on women and children. Dodge explains the mechanics behind creating deepfakes, the lack of adequate legal frameworks to combat them, and the broader societal implications of technology-facilitated abuse. He emphasizes the importance of education, parental guidance, and ethical considerations in technology development to mitigate these risks. Vurvey.ai

Google Next is only a few short weeks away and as of this morning, the Agenda builder is live. In this video I walk through how I choose which sessions to attend, and my recommended Google Workspace sessions. If you haven't registered yet, please click my link as it helps the channel and I could win bonus goodies from Google Cloud: https://cloud.withgoogle.com/next?utm_source=cloud_sfdc&utm_medium=email&utm_campaign=FY24-Q2-global-ENDM33-physicalevent-er-next-2024-mc&utm_content=innovators-reg-program-5&utm_term=- TK Keynote Dev Keynote Golden State Warriors supercharge the fan experience with generative AIAchieving new levels of productivity with generative AIApps Script + Gemini: build custom AI-powered Google Workspace solutionsArchitecting generative AI success: Winning patterns for Google Workspace and cloudBecome an Expert in Advanced, Multi-turn Prompting in Gemini for Google WorkspaceGemini in Google Meet: Smarter Meetings, Better OutcomesGoogle's productivity expert on finding your personal “uptime”Prevent, identify, and respond to threats in Gmail and Google WorkspaceStay secure and improve efficiency for your frontline with Google WorkspaceSupercharge collaboration with Gemini in Google ChatWhat​​'s next for security professionalsUnlock Your Cloud and AI Superpower with Google Cloud CredentialsDrive enterprise success: Unlocking the power of Google Meet for the hybrid teamKeep your data private and compliant with Gemini in Google Workspace Don't miss Google Cloud Next '24, April 9–11, 2024, at Mandalay Bay Convention Center in Las Vegas. We're gearing up to go bigger in 2024 with a new location, fresh programming, and exciting surprises.

The Cloud Pod Sees the Irony of Using AI to Assist with Climate Change  Welcome to episode 239 of The Cloud Pod podcast, where the forecast is always cloudy! Jonathan, Matthew and Ryan are your hosts this week as we talk about all things AI and Climate Change - and Google's assertion that their AI is going to fix it all. Also on today's agenda: updates to Google Next's new dates, Azure's chips, Defender, and all the shenanigans over at OpenAI. Join us!  Titles we almost went with this week:

Ever wonder how partnerships impact your business?  What is the breaking point before you need to reach out for help? The People Purpose Podcast travels abroad to His Majesty's Kingdom in London to discuss the impact of partnerships and how you can stay ahead of the curve with your business.  Plus learn how much data is consumed via the Google search engine.  It's more than you think!

A breve distanza da Google Next, ne ripercorriamo gli annunci: da Generative AI alle tematiche di governance multi cloud, una chiacchierata cloud con Marco Iusi, Head of Google Cloud Competence Center di NTT Data Italia.Argomenti menzionati nella puntataProgetto ACEA: https://youtu.be/BvaN_fnzjTkKudosEmanuele Garofalo per la postproduzione dell'episodioContattiCanale Telegram di Cloud Champions: https://t.me/CloudChampions

Joe Karlsson, Data Engineer at Tinybird, joins Corey on Screaming in the Cloud to discuss what it's like working in the world of data right now and how he manages the overlap between his social media presence and career. Corey and Joe chat about the rise of AI and whether or not we're truly seeing advancements in that realm or just trendy marketing plays, and Joe shares why he feels data is getting a lot more attention these days and what it's like to work in data at this time. Joe also shares insights into how his mental health has been impacted by having a career and social media presence that overlaps, and what steps he's taken to mitigate the negative impact. About JoeJoe Karlsson (He/They) is a Software Engineer turned Developer Advocate at Tinybird. He empowers developers to think creatively when building data intensive applications through demos, blogs, videos, or whatever else developers need.Joe's career has taken him from building out database best practices and demos for MongoDB, architecting and building one of the largest eCommerce websites in North America at Best Buy, and teaching at one of the most highly-rated software development boot camps on Earth. Joe is also a TEDx Speaker, film buff, and avid TikToker and Tweeter.Links Referenced: Tinybird: https://www.tinybird.co/ Personal website: https://joekarlsson.com TranscriptAnnouncer: Hello, and welcome to Screaming in the Cloud with your host, Chief Cloud Economist at The Duckbill Group, Corey Quinn. This weekly show features conversations with people doing interesting work in the world of cloud, thoughtful commentary on the state of the technical world, and ridiculous titles for which Corey refuses to apologize. This is Screaming in the Cloud.Corey: Are you navigating the complex web of API management, microservices, and Kubernetes in your organization? Solo.io is here to be your guide to connectivity in the cloud-native universe!Solo.io, the powerhouse behind Istio, is revolutionizing cloud-native application networking. They brought you Gloo Gateway, the lightweight and ultra-fast gateway built for modern API management, and Gloo Mesh Core, a necessary step to secure, support, and operate your Istio environment.Why struggle with the nuts and bolts of infrastructure when you can focus on what truly matters - your application. Solo.io's got your back with networking for applications, not infrastructure. Embrace zero trust security, GitOps automation, and seamless multi-cloud networking, all with Solo.io.And here's the real game-changer: a common interface for every connection, in every direction, all with one API. It's the future of connectivity, and it's called Gloo by Solo.io.DevOps and Platform Engineers, your journey to a seamless cloud-native experience starts here. Visit solo.io/screaminginthecloud today and level up your networking game.Corey: Welcome to Screaming in the Cloud. I'm Corey Quinn and I am joined today by someone from well, we'll call it the other side of the tracks, if I can—Joe: [laugh].Corey: —be blunt and disrespectful. Joe Karlsson is a data engineer at Tinybird, but I really got to know who he is by consistently seeing his content injected almost against my will over on the TikToks. Joe, how are you?Joe: I'm doing so well and I'm so sorry for anything I've forced down your throat online. Thanks for having me, though.Corey: Oh, it's always a pleasure to talk to you. No, the problem I've got with it is that when I'm in TikTok mode, I don't want to think about computers anymore. I want to find inane content that I can just swipe six hours away without realizing it because that's how I roll.Joe: TikTok is too smart, though. I think it knows that you are doing a lot of stuff with computers and even if you keep swiping away, it's going to keep serving it up to you.Corey: For a long time, it had me pinned as a lesbian, which was interesting. Which I suppose—Joe: [laugh]. It happened to me, too.Corey: Makes sense because I follow a lot of women who are creators in comics and the rest, but I'm not interested in the thirst trap approach. So, it's like, “Mmm, this codes as lesbian.” Then they started showing me ads for ADHD, which I thought was really weird until I'm—oh right. I'm on TikTok. And then they started recommending people that I'm surprised was able to disambiguate until I realized these people have been at my house and using TikTok from my IP address, which probably is going to get someone murdered someday, but it's probably easy to wind up doing an IP address match.Joe: I feel like I have to, like, separate what is me and what is TikTok, like, trying to serve it up because I've been on lesbian TikTok, too, ADHD, autism, like TikTok. And, like, is this who I am? I don't know. [unintelligible 00:02:08] bring it to my therapist.Corey: You're learning so much about yourself based upon an algorithm. Kind of wild, isn't it?Joe: [laugh]. Yeah, I think we may be a little, like, neuro-spicy, but I think it might be a little overblown with what TikTok is trying to diagnose us with. So, it's always good to just keep it in check, you know?Corey: Oh, yes. So, let's see, what's been going on lately? We had Google Next, which I think the industry largely is taking not seriously enough. For years, it felt like a try-hard, me too version of re:Invent. And this year, it really feels like it's coming to its own. It is defining itself as something other than oh, us too.Joe: I totally agree. And that's where you and I ran into recently, too. I feel like post-Covid I'm still, like, running into people I met on the internet in real life, and yeah, I feel like, yeah, re:Invent and Google Next are, like, the big ones.I totally agree. It feels like—I mean, it's definitely, like, heavily inspired by it. And it still feels like it's a little sibling in some ways, but I do feel like it's one of the best conferences I've been to since, like, a pre-Covid 2019 AWS re:Invent, just in terms of, like… who was there. The energy, the vibes, I feel like people were, like, having fun. Yeah, I don't know, it was a great conference this year.Corey: Usually, I would go to Next in previous years because it was a great place to go to hang out with AWS customers. These days, it feels like it's significantly more than that. It's, everyone is using everything at large scale. I think that is something that is not fully understood. You talk to companies that are, like, Netflix, famously all in on AWS. Yeah, they have Google stuff, too.Everyone does. I have Google stuff. I have a few things in Azure, for God's sake. It's one of those areas where everything starts to diffuse throughout a company as soon as you hire employee number two. And that is, I think, the natural order of things. The challenge, of course, is the narrative people try and build around it.Joe: Yep. Oh, totally. Multi-cloud's been huge for you know, like, starting to move up. And it's impossible not to. It was interesting seeing, like, Google trying to differentiate itself from Azure and AWS. And, Corey, I feel like you'd probably agree with this, too, AI was like, definitely the big buzzword that kept trying to, like—Corey: Oh, God. Spare me. And I say that, as someone who likes AI, I think that there's a lot of neat stuff lurking around and value hiding within generative AI, but the sheer amount of hype around it—and frankly—some of the crypto bros have gone crashing into the space, make me want to distance myself from it as far as humanly possible, just because otherwise, I feel like I get lumped in with that set. And I don't want that.Joe: Yeah, I totally agree. I know it feels like it's hard right now to, like, remain ungrifty, but, like, still, like—trying—I mean, everyone's trying to just, like, hammer in an AI perspective into every product they have. And I feel like a lot of companies, like, still don't really have a good use case for it. You're still trying to, like, figure that out. We're seeing some cool stuff.Honestly, the hard part for me was trying to differentiate between people just, like, bragging about OpenAI API addition they added to the core product or, like, an actual thing that's, like, AI is at the center of what it actually does, you know what I mean? Everything felt like it's kind of like tacked on some sort of AI perspective to it.Corey: One of the things that really is getting to me is that you have these big companies—Google and Amazon most notably—talk about how oh, well, we've actually been working with AI for decades. At this point, they keep trying to push out how long it's been. It's like, “Okay, then not for nothing, then why does”—in Amazon's case—“why does Alexa suck? If you've been working on it for this long, why is it so bad at all the rest?” It feels like they're trying to sprint out with a bunch of services that very clearly were not conceptualized until Chat-Gippity's breakthrough.And now it's oh, yeah, we're there, too. Us, too. And they're pivoting all the marketing around something that, frankly, they haven't demonstrated excellence with. And I feel like they're leaving a lot of their existing value proposition completely in the dust. It's, your customers are not using you because of the speculative future, forward-looking AI things; it's because you are able to solve business problems today in ways that are not highly speculative and are well understood. That's not nothing and there needs to be more attention paid to that. And I feel like there's this collective marketing tripping over itself to wrap itself in hype that does them no services.Joe: I totally agree. I feel like honestly, just, like, a marketing perspective, I feel like it's distracting in a lot of ways. And I know it's hot and it's cool, but it's like, I think it's harder right now to, like, stay focused to what you're actually doing well, as opposed to, like, trying to tack on some AI thing. And maybe that's great. I don't know.Maybe that's—honestly, maybe you're seeing some traction there. I don't know. But I totally agree. I feel like everyone right now is, like, selling a future that we don't quite have yet. I don't know. I'm worried that what's going to happen again, is what happened back in the IBM Watson days where everyone starts making bold—over-promising too much with AI until we see another AI winter again.Corey: Oh, the subtext is always, we can't wait to fire our entire customer service department. That one—Joe: Yeah.Corey: Just thrills me.Joe: [laugh].Corey: It's like, no, we're just going to get rid of junior engineers and just have senior engineers. Yeah, where do you think those people come from, by the way? We aren't—they aren't just emerging fully formed from the forehead of some god somewhere. And we're also seeing this wild divergence from reality. Remember, I fix AWS bills for a living. I see very large companies, very large AWS spend.The majority of spend remains on EC2 across the board. So, we don't see a lot of attention paid to that at re:Invent, even though it's the lion's share of everything. When we do contract negotiations, we talk about generative AI plan and strategy, but no one's saying, oh, yeah, we're spending 100 million a year right now on AWS but we should commit 250 because of all this generative AI stuff we're getting into. It's all small-scale experimentation and seeing if there's value there. But that's a far cry from being the clear winner what everyone is doing.I'd further like to point out that I can tell that there's a hype cycle in place and I'm trying to be—and someone's trying to scam me. As soon as there's a sense of you have to get on this new emerging technology now, now, now, now, now. I didn't get heavily into cloud till 2016 or so and I seem to have done all right with that. Whenever someone is pushing you to get into an emerging thing where it hasn't settled down enough to build a curriculum yet, I feel like there's time to be cautious and see what the actual truth is. Someone's selling something; if you can't spot the sucker, chances are, it's you.Joe: [laugh]. Corey, have you thought about making an AI large language model that will help people with their cloud bills? Maybe just feed it, like, your invoices [laugh].Corey: That has been an example, I've used a number of times with a variety of different folks where if AI really is all it's cracked up to be, then the AWS billing system is very much a bounded problem space. There's a lot of nuance and intricacy to it, but it is a finite set of things. Sure, [unintelligible 00:08:56] space is big. So, training something within those constraints and within those confines feels like it would be a terrific proof-of-concept for a lot of these things. Except that when I've experimented a little bit and companies have raised rounds to throw into this, it never quite works out because there's always human context involved. The, oh yeah, we're going to wind up turning off all those idle instances, except they're in idle—by whatever metric you're using—for a reason. And the first time you take production down, you're not allowed to save money anymore.Joe: Nope. That's such a good point. I agree. I don't know about you, Corey. I've been fretting about my job and, like, what I'm doing. I write a lot, I do a lot of videos, I'm programming a lot, and I think… obviously, we've been hearing a lot about, you know, if it's going to replace us or not. I honestly have been feeling a lot better recently about my job stability here. I don't know. I totally agree with you. There's always that, like, human component that needs to get added to it. But who knows, maybe it's going to get better. Maybe there'll be an AI-automated billing management tool, but it'll never be as good as you, Corey. Maybe it will. I don't know. [laugh].Corey: It knows who I am. When I tell it to write in the style of me and give it a blog post topic and some points I want to make, almost everything it says is wrong. But what I'll do is I'll copy that into a text editor, mansplain-correct the robot for ten minutes, and suddenly I've got the bones of a decent rough draft because. And yeah, I'll wind up plagiarizing three or four words in a row at most, but that's okay. I'm plagiarizing the thing that's plagiarizing from me and there's a beautiful symmetry to that. What I don't understand is some of the outreach emails and other nonsensical stuff I'll see where people are letting unsupervised AI just write things under their name and sending it out to people. That is anathema to me.Joe: I totally agree. And it might work today, it might work tomorrow, but, like, it's just a matter of time before something blows up. Corey, I'm curious. Like, personally, how do you feel about being in the ChatGPT, like, brain? I don't know, is that flattering? Does that make you nervous at all?Corey: Not really because it doesn't get it in a bunch of ways. And that's okay. I found the same problem with people. In my time on Twitter, when I started live-tweet shitposting about things—as I tend to do as my first love language—people will often try and do exactly that. The problem that I run into is that, “The failure mode of ‘clever' is ‘asshole,'” as John Scalzi famously said, and as a direct result of that, people wind up being mean and getting it wrong in that direction.It's not that I'm better than they are. It's, I had a small enough following, and no one knew who I was in my mean years, and I realized I didn't feel great making people sad. So okay, you've got to continue to correct the nosedive. But it is perilous and it is difficult to understand the nuance. I think occasionally when I prompt it correctly, it comes up with some amazing connections between things that I wouldn't have seen, but that's not the same thing as letting it write something completely unfettered.Joe: Yeah, I totally agree. The nuance definitely gets lost. It may be able to get, like, the tone, but I think it misses a lot of details. That's interesting.Corey: And other people are defending it when that hallucinates. Like, yeah, I understand there are people that do the same thing, too. Yeah, the difference is, in many cases, lying to me and passing it off otherwise is a firing offense in a lot of places. Because if you're going to be 19 out of 20 times, you're correct, but 5% wrong, you're going to bluff, I can't trust anything you tell me.Joe: Yeah. It definitely, like, brings your, like—the whole model into question.Corey: Also, remember that my medium for artistic creation is often writing. And I think that, on some level, these AI models are doing the same things that we do. There are still turns of phrase that I use that I picked up floating around Usenet in the mid-90s. And I don't remember who said it or the exact context, but these words and phrases have entered my lexicon and I'll use them and I don't necessarily give credit to where the first person who said that joke 30 years ago. But it's a—that is how humans operate. We are influenced by different styles of writing and learn from the rest.Joe: True.Corey: That's a bit different than training something on someone's artistic back catalog from a painting perspective and then emulating it, including their signature in the corner. Okay, that's a bit much.Joe: [laugh]. I totally agree.Corey: So, we wind up looking right now at the rush that is going on for companies trying to internalize their use of enterprise AI, which is kind of terrifying, and it all seems to come back to data.Joe: Yes.Corey: You work in the data space. How are you seeing that unfold?Joe: Yeah, I do. I've been, like, making speculations about the future of AI and data forever. I've had dreams of tools I've wanted forever, and I… don't have them yet. I don't think they're quite ready yet. I don't know, we're seeing things like—tha—I think people are working on a lot of problems.For example, like, I want AI to auto-optimize my database. I want it to, like, make indexes for me. I want it to help me with queries or optimizing queries. We're seeing some of that. I'm not seeing anyone doing particularly well yet. I think it's up in the air.I feel like it could be coming though soon, but that's the thing, though, too, like, I mean, if you mess up a query, or, like, a… large language model hallucinates a really shitty query for you, that could break your whole system really quickly. I feel like there still needs to be, like, a human being in the middle of it to, like, kind of help.Corey: I saw a blog post recently that AWS put out gave an example that just hard-coded a credential into it. And they said, “Don't do this, but for demonstration purposes, this is how it works.” Well, that nuance gets lost when you use that for AI training and that's, I think, in part, where you start seeing a whole bunch of the insecure crap these things spit out.Joe: Yeah, I totally agree. Well, I thought the big thing I've seen, too, is, like, large language models typically don't have a secure option and you're—the answer is, like, help train the model itself later on. I don't know, I'm sure, like, a lot of teams don't want to have their most secret data end up public on a large language model at some point in the future. Which is, like, a huge issue right now.Corey: I think that what we're seeing is that you still need someone with expertise in a given area to review what this thing spits out. It's great at solving a lot of the busy work stuff, but you still need someone who's conversant with the concepts to look at it. And that is, I think, something that turns into a large-scale code review, where everyone else just tends to go, “Oh, okay. We're—do this with code review.” “Oh, how big is the diff?” “50,000 lines.” “Looks good to me.” Whereas, “Three lines.” “I'm going to criticize that thing with four pages of text.” People don't want to do the deep-dive stuff, and—when there's a huge giant project that hits. So, they won't. And it'll be fine, right up until it isn't.Joe: Corey, you and I know people and developers, do you think it's irresponsible to put out there an example of how to do something like that, even with, like, an asterisk? I feel like someone's going to still go out and try to do that and probably push that to production.Corey: Of course they are.Joe: [laugh].Corey: I've seen this with some of my own code. I had something on Docker Hub years ago with a container that was called ‘Terrible Ideas.' And I'm sure being used in, like—it was basically the environment I use for a talk I gave around Git, which makes sense. And because I don't want to reset all the repositories back to the way they came from with a bunch of old commands, I just want a constrained environment that will be the same every time I give the talk. Awesome.I'm sure it's probably being run in production at a bank somewhere because why wouldn't it be? That's people. That's life. You're not supposed to just copy and paste from Chat-Gippity. You're supposed to do that from Stack Overflow like the rest of us. Where do you think your existing code's coming from in a lot of these shops?Joe: Yep. No, I totally agree. Yeah, I don't know. It'll be interesting to see how this shakes out with, like, people going to doing this stuff, or how honest they're going to be about it, too. I'm sure it's happening. I'm sure people are tripping over themselves right now, [adding 00:16:12].Corey: Oh, yeah. But I think, on some level, you're going to see a lot more grift coming out of this stuff. When you start having things that look a little more personalized, you can use it for spam purposes, you can use it for, I'm just going to basically copy and paste what this says and wind up getting a job on Upwork or something that is way more than I could handle myself, but using this thing, I'm going to wind up coasting through. Caveat emptor is always the case on that.Joe: Yeah, I totally agree.Corey: I mean, it's easy for me to sit here and talk about ethics. I believe strongly in doing the right thing. But I'm also not worried about whether I'm able to make rent this month or put food on the table. That's a luxury. At some point, like, a lot of that strips away and you do what you have to do to survive. I don't necessarily begrudge people doing these things until it gets to a certain point of okay, now you're not doing this to stay alive anymore. You're doing this to basically seek rent.Joe: Yeah, I agree. Or just, like, capitalize on it. I do think this is less—like, the space is less grifty than the crypto space, but as we've seen over and over and over and over again, in tech, there's a such a fine line between, like, a genuinely great idea, and somebody taking advantage of it—and other people—with that idea.Corey: I think that's one of those sad areas where you're not going to be able to fix human nature, regardless of the technology stack you bring to bear.Joe: Yeah, I totally agree.Corey: So, what else are you seeing these days that interesting? What excites you? What do you see that isn't getting enough attention in the space?Joe: I don't know, I guess I'm in the data space, I'm… the thing I think I do see a lot of is huge interest in data. Data right now is the thing that's come up. Like, I don't—that's the thing that's training these models and everyone trying to figure out what to do with these data, all these massive databases, data lakes, whatever. I feel like everyone's, kind of like, taking a second look at all of this data they've been collecting for years and haven't really known what to do with it and trying to figure out either, like, if you can make a model out of that, if you try to, like… level it up, whatever. Corey, you and I were joking around recently—you've had a lot of data people on here recently, too—I feel like us data folks are just getting extra loud right now. Or maybe there's just the data spaces, that's where the action's at right now.I don't know, the markets are really weird. Who knows? But um, I feel like data right now is super valuable and more so than ever. And even still, like, I mean, we're seeing, like, companies freaking out, like, Twitter and Reddit freaking out about accessing their data and who's using it and how. I don't know, I feel like there's a lot of action going on there right now.Corey: I think that there's a significant push from the data folks where, for a long time data folks were DBAs—Joe: Yeah.Corey: —let's be direct. And that role has continued to evolve in a whole bunch of different ways. It's never been an area I've been particularly strong in. I am not great at algorithmic complexity, it turns out, you can saturate some beefy instances with just a little bit of data if your queries are all terrible. And if you're unlucky—as I tend to be—and have an aura of destroying things, great, you probably don't want to go and make that what you do.Joe: [laugh]. It's a really good point. I mean, I don't know about, like, if you blow up data at a company, you're probably going to be in big trouble. And especially the scale we're talking about with most companies these days, it's super easy to either take down a server or generate an insane bill off of some shitty query.Corey: Oh, when I was at Reach Local years and years ago—my first Linux admin job—when I broke the web server farm, it was amusing; when I broke part of the data warehouse, nobody was laughing.Joe: [laugh]. I wonder why.Corey: It was a good faith mistake and that's fair. It was a convoluted series of things that set up and honestly, the way the company and my boss responded to me at the time set the course of the rest of my career. But it was definitely something that got my attention. It scares me. I'm a big believer in backups as a direct result.Joe: Yeah. Here's the other thing, too. Actually, our company, Tinybird, is working on versioning with your data sources right now and treating your data sources like Git, but I feel like even still today, most companies are just run by some DBA. There's, like, Mike down the hall is the one responsible keeping their SQL servers online, keeping them rebooted, and like, they're manually updating any changes on there.And I feel like, generally speaking across the industry, we're not taking data seriously. Which is funny because I'm with you on there. Like, I get terrified touching production databases because I don't want anything bad to happen to them. But if we could, like, make it easier to rollback or, like, handle that stuff, that would be so much easier for me and make it, like, less scary to deal with it. I feel like databases and, like, treating it as, like, a serious DevOps practice is not really—I'm not seeing enough of it. It's definitely, people are definitely doing it. Just, I want more.Corey: It seems like with data, there's a lack of iterative approaches to it. A line that someone came up with when I was working with them a decade and change ago was that you can talk about agile all you want, but when it comes to payments, everyone's doing waterfall. And it feels like, on some level, data's kind of the same.Joe: Yeah. And I don't know, like, how to fix it. I think everyone's just too scared of it to really touch it. Migrating over to a different version control, trying to make it not as manual, trying to iterate on it better, I think it's just—I don't blame them. It's hard, it really takes a long time, making sure everything, like, doesn't blow up while you're doing a migration is a pain in the ass. But I feel like that would make everyone's lives so much easier if, like, you could, like, treat it—understand your data and be able to rollback easier with it.Corey: When you take a look across the ecosystem now, are you finding that things have improved since the last time I was in the space, where the state of the art was, “Oh, we need some developer data. We either have this sanitized data somewhere or it's a copy of production that we move around, but only a small bit.” Because otherwise, we always found that oh, that's an extra petabyte of storage was going on someone's developer environment they messed up on three years ago, they haven't been here for two, and oops.Joe: I don't. I have not seen it. Again, that's so tricky, too. I think… yeah, the last time I, like, worked doing that was—usually you just have a really crappy version of production data on staging or development environments and it's hard to copy those over. I think databases are getting better for that.I've been working on, like, the real-time data space for a long time now, so copying data over and kind of streaming that over is a lot easier. I do think seeing, like, separating storage and compute can make it easier, too. But it depends on your data stack. Everyone's using everything all the time and it's super complicated to do that. I don't know about you, Corey, too. I'm sure you've seen, like, services people running, but I feel like we've made a switch as an industry from, like, monoliths to microservices.Now, we're kind of back in the monolith era, but I'm not seeing that happen in the database space. We're seeing, like, data meshing and lots of different databases. I see people who, like, see the value of data monoliths, but I don't see any actual progress in moving back to a single source of [truth of the data 00:23:02]. And I feel like the cat's kind of out of the bag on all the data existing everywhere, all the time, and trying to wrangle that up.Corey: This stuff is hard and there's no easy solution here. There just isn't.Joe: Yeah, there's no way. And embracing that chaos, I think, is going to be huge. I think you have to do it right now. Or trying to find some tool that can, like, wrangle up a bunch of things together and help work with them all at once. Products need to meet people where they're at, too. And, like, data is all over the place and I feel like we kind of have to, like, find tooling that can kind of help work with what you have.Corey: It's a constant challenge, but also a joy, so we'll give it that.Joe: [laugh].Corey: So, I have to ask. Your day job has you doing developer advocacy at Tinybird—Joe: Yes.Corey: But I had to dig in to find that out. It wasn't obvious based upon the TikToks and the Twitter nonsense and the rest. How do you draw the line between day job and you as a person shitposting on the internet about technology?Joe: Corey, I'd be curious to hear your thoughts on this, too. I don't know. I feel like I've been in different places where, like, my job is my life. You know what I mean? There's a very thin line there. Personally, I've been trying to take a step back from that, just from a mental health perspective. Having my professional life be so closely tied to, like, my personal value and who I am has been really bad for my brain.And trying to make that clear at my company is, like, what is mine and what I can help with has been really huge. I feel like the boundaries between myself and my job has gotten too thin. And for a while, I thought that was a great idea; it turns out that was not a great idea for my brain. It's so hard. So, I've been a software engineer and I've done full-time developer advocacy, and I felt like I had a lot more freedom to say what I wanted as, like, a full-time software engineer as opposed to being a developer advocate and kind of representing the company.Because the thing is, I'm always representing the company [online 00:24:56], but I'm not always working, which is kind of like—that—it's kind of a hard line. I feel like there's been, like, ways to get around it though with, like, less private shitposting about things that could piss off a CEO or infringe on an NDA or, you know, whatever, you know what I mean? Yeah, trying to, like, find that balance or trying to, like, use tools to try to separate that has been big. But I don't know, I've been—personally, I've been trying to step—like, start trying to make more of a boundary for that.Corey: Yeah. I don't have much of one, but I also own the company, so my approach doesn't necessarily work for other people. I don't advertise in public that I fix AWS bills very often. That's not the undercurrent to most of my jokes and the rest. Because the people who have that painful problem aren't generally in the audience directly and they certainly don't talk about it extensively.It's word of mouth. It's being fun and engaging so people stick around. And when I periodically do mention it that sort of sticks with them. And in the fullness of time, it works as a way of, “Oh, yeah, everyone knows what you're into. And yeah, when we have this problem, reaching out to you is our first thought.” But I don't know that it's possible to measure its effectiveness. I just know that works.Joe: Yeah. For me, it's like, don't be an asshole and teach don't sell are like, the two biggest things that I'm trying to do all the time. And the goal is not to, like, trick people into, like, thinking I'm not working for a company. I think I try to be transparent, or if, like, I happen to be talking about a product that I'm working for, I try to disclose that. But yeah, I don't know. For me, it's just, like, trying to build up a community of people who, like, understand what I'm trying to put out there. You know what I mean?Corey: Yeah, it's about what you want to be known for, on some level. Part of the problem that I've had for a long time is that I've been pulled in so many directions. [They're 00:26:34] like, “Oh, you're great. Where do I go to learn more?” It's like, “Well, I have this podcast, I have the newsletter, I have the other podcast that I do in the AWS Morning Brief. I have the duckbillgroup.com. I have lastweekinaws.com. I have a Twitter account. I had a YouTube thing for a while.”It's like, there's so many different ways to send people. It's like, what is the top-of-funnel? And for me, my answer has been, sign up for the newsletter at lastweekinaws.com. That keeps you apprised of everything else and you can dial it into taste. It's also, frankly, one of those things that doesn't require algorithmic blessing to continue to show up in people's inboxes. So far at least, we haven't seen algorithms have a significant impact on that, except when they spam-bin something. And it turns out when you write content people like, the providers get yelled at by their customers of, “Hey, I'm trying to read this. What's going on?” I had a couple of reach out to me asking what the hell happened. It's kind of fun.Joe: I love that. And, Corey, I think that's so smart, too. It's definitely been a lesson, I think, for me and a lot of people on—that are terminally online that, like, we don't own our social following on other platforms. With, like, the downfall of Twitter, like, I'm still posting on there, but we still have a bunch of stuff on there, but my… that following is locked in. I can't take that home. But, like, you still have your email newsletter. And I even feel it for tech companies who might be listening to this, too. I feel like owning your email list is, like, not the coolest thing, but I feel like it's criminally underrated, as, like, a way of talking to people.Corey: It doesn't matter what platforms change, what my personal situation changes, I am—like, whatever it is that I wind up doing next, whenever next happens, I'll need a platform to tell people about, and that's what I've been building. I value newsletter subscribers in a metric sense far more highly and weight them more heavily than I do Twitter followers. Anyone can click a follow and then never check Twitter again. Easy enough. Newsletters? Well, that winds up requiring a little bit extra work because we do confirmed opt-ins, for obvious reasons.And we never sell the list. We never—you can't transfer permission for, like that, and we obviously respect it when people say I don't want to hear from your nonsense anymore. Great. Cool. I don't want to send this to people that don't care. Get out of here.Joe: [laugh]. No, I think that's so smart.Corey: Podcasts are impossible on the other end, but I also—you know, I control the domain and that's important to me.Joe: Yeah.Corey: Why don't you build this on top of Substack? Because as soon as Substack pivots, I'm screwed.Joe: Yeah, yeah. Which we've—I think we've seen that they've tried to do, even with the Twitter clone that tried to build last couple years. I've been burned by so many other publishing platforms over and over and over again through the years. Like, Medium, yeah, I criminally don't trust any sort of tech publishing platform anymore that I don't own. [laugh]. But I also don't want to maintain it. It's such a fine line. I just want to, like, maintain something without having to, like, maintain all the infrastructure all the time, and I don't think that exists and I don't really trust anything to help me with that.Corey: You can on some level, I mean, I wind up parking in the newsletter stuff over at ConvertKit. But I can—I have moved it twice already. I could move it again if I needed to. It's about controlling the domain. I have something that fires off once or twice a day that backs up the entire subscriber list somewhere.I don't want to build my own system, but I can also get that in an export form wherever I need it to go. Frankly, I view it as the most valuable asset that I have here because I can always find a way to turn relationships and an audience into money. I can't necessarily find a way to go the opposite direction of, well have money. Time to buy an audience. Doesn't work that way.Joe: [laugh]. No, I totally agree. You know what I do like, though, is Threads, which has kind of fallen off, but I do love the idea of their federated following [and be almost 00:30:02] like, unlock that a little bit. I do think that that's probably going to be the future. And I have to say, I just care as someone who, like, makes shit online. I don't think 98% of people don't really care about that future, but I do. Just getting burned so often on social media platforms, it helps to then have a little bit of flexibility there.Corey: Oh, yeah. And I wish it were different. I feel like, at some level, Elon being Elon has definitely caused a bit of a diaspora of social media and I think that's a good thing.Joe: Yeah. Yeah. I hope it settles down a little bit, but it definitely got things moving again.Corey: Oh, yes. I really want to thank you for taking the time to go through how you view these things. Where's the best place for people to go to follow you learn more, et cetera? Just sign up for TikTok and you'll be all over them, apparently.Joe: Go to the website that I own joekarlsson.com. It's got the links to everything on there. Opt in or out of whatever you find you want. Otherwise, I'm just going to quick plug for the company I work for: tinybird.co. If you're trying to make APIs on top of data, definitely want to check out Tinybird. We work with Kafka, BigQuery, S3, all the data sources could pull it in. [unintelligible 00:31:10] on it and publishes it as an API. It's super easy. Or you could just ignore me. That's fine, too. You could—that's highly encouraged as well.Corey: Always a good decision.Joe: [laugh]. Yeah, I agree. I'm biased, but I agree.Corey: Thanks, Joe. I appreciate your taking the time to speak with me and we'll, of course, put links to all that in the [show notes 00:31:26]. And please come back soon and regale us with more stories.Joe: I will. Thanks, Corey.Corey: Joe Karlsson, data engineer at Tinybird. I'm Cloud Economist Corey Quinn and this is Screaming in the Cloud. If you've enjoyed this podcast, please leave a five-star review on your podcast platform of choice, whereas if you've hated this podcast, please leave a five-star review on your podcast platform of choice, along with an insulting comment that I'll never read because they're going to have a disk problem and they haven't learned the lesson of backups yet.Corey: If your AWS bill keeps rising and your blood pressure is doing the same, then you need The Duckbill Group. We help companies fix their AWS bill by making it smaller and less horrifying. The Duckbill Group works for you, not AWS. We tailor recommendations to your business and we get to the point. Visit duckbillgroup.com to get started. Tinybird: https://www.tinybird.co/ Personal website: https://joekarlsson.com TranscriptAnnouncer: Hello, and welcome to Screaming in the Cloud with your host, Chief Cloud Economist at The Duckbill Group, Corey Quinn. This weekly show features conversations with people doing interesting work in the world of cloud, thoughtful commentary on the state of the technical world, and ridiculous titles for which Corey refuses to apologize. This is Screaming in the Cloud.Corey: Welcome to Screaming in the Cloud. I'm Corey Quinn and I am joined today by someone from well, we'll call it the other side of the tracks, if I can—Joe: [laugh].Corey: —be blunt and disrespectful. Joe Karlsson is a data engineer at Tinybird, but I really got to know who he is by consistently seeing his content injected almost against my will over on the TikToks. Joe, how are you?Joe: I'm doing so well and I'm so sorry for anything I've forced down your throat online. Thanks for having me, though.Corey: Oh, it's always a pleasure to talk to you. No, the problem I've got with it is that when I'm in TikTok mode, I don't want to think about computers anymore. I want to find inane content that I can just swipe six hours away without realizing it because that's how I roll.Joe: TikTok is too smart, though. I think it knows that you are doing a lot of stuff with computers and even if you keep swiping away, it's going to keep serving it up to you.Corey: For a long time, it had me pinned as a lesbian, which was interesting. Which I suppose—Joe: [laugh]. It happened to me, too.Corey: Makes sense because I follow a lot of women who are creators in comics and the rest, but I'm not interested in the thirst trap approach. So, it's like, “Mmm, this codes as lesbian.” Then they started showing me ads for ADHD, which I thought was really weird until I'm—oh right. I'm on TikTok. And then they started recommending people that I'm surprised was able to disambiguate until I realized these people have been at my house and using TikTok from my IP address, which probably is going to get someone murdered someday, but it's probably easy to wind up doing an IP address match.Joe: I feel like I have to, like, separate what is me and what is TikTok, like, trying to serve it up because I've been on lesbian TikTok, too, ADHD, autism, like TikTok. And, like, is this who I am? I don't know. [unintelligible 00:02:08] bring it to my therapist.Corey: You're learning so much about yourself based upon an algorithm. Kind of wild, isn't it?Joe: [laugh]. Yeah, I think we may be a little, like, neuro-spicy, but I think it might be a little overblown with what TikTok is trying to diagnose us with. So, it's always good to just keep it in check, you know?Corey: Oh, yes. So, let's see, what's been going on lately? We had Google Next, which I think the industry largely is taking not seriously enough. For years, it felt like a try-hard, me too version of re:Invent. And this year, it really feels like it's coming to its own. It is defining itself as something other than oh, us too.Joe: I totally agree. And that's where you and I ran into recently, too. I feel like post-Covid I'm still, like, running into people I met on the internet in real life, and yeah, I feel like, yeah, re:Invent and Google Next are, like, the big ones.I totally agree. It feels like—I mean, it's definitely, like, heavily inspired by it. And it still feels like it's a little sibling in some ways, but I do feel like it's one of the best conferences I've been to since, like, a pre-Covid 2019 AWS re:Invent, just in terms of, like… who was there. The energy, the vibes, I feel like people were, like, having fun. Yeah, I don't know, it was a great conference this year.Corey: Usually, I would go to Next in previous years because it was a great place to go to hang out with AWS customers. These days, it feels like it's significantly more than that. It's, everyone is using everything at large scale. I think that is something that is not fully understood. You talk to companies that are, like, Netflix, famously all in on AWS. Yeah, they have Google stuff, too.Everyone does. I have Google stuff. I have a few things in Azure, for God's sake. It's one of those areas where everything starts to diffuse throughout a company as soon as you hire employee number two. And that is, I think, the natural order of things. The challenge, of course, is the narrative people try and build around it.Joe: Yep. Oh, totally. Multi-cloud's been huge for you know, like, starting to move up. And it's impossible not to. It was interesting seeing, like, Google trying to differentiate itself from Azure and AWS. And, Corey, I feel like you'd probably agree with this, too, AI was like, definitely the big buzzword that kept trying to, like—Corey: Oh, God. Spare me. And I say that, as someone who likes AI, I think that there's a lot of neat stuff lurking around and value hiding within generative AI, but the sheer amount of hype around it—and frankly—some of the crypto bros have gone crashing into the space, make me want to distance myself from it as far as humanly possible, just because otherwise, I feel like I get lumped in with that set. And I don't want that.Joe: Yeah, I totally agree. I know it feels like it's hard right now to, like, remain ungrifty, but, like, still, like—trying—I mean, everyone's trying to just, like, hammer in an AI perspective into every product they have. And I feel like a lot of companies, like, still don't really have a good use case for it. You're still trying to, like, figure that out. We're seeing some cool stuff.Honestly, the hard part for me was trying to differentiate between people just, like, bragging about OpenAI API addition they added to the core product or, like, an actual thing that's, like, AI is at the center of what it actually does, you know what I mean? Everything felt like it's kind of like tacked on some sort of AI perspective to it.Corey: One of the things that really is getting to me is that you have these big companies—Google and Amazon most notably—talk about how oh, well, we've actually been working with AI for decades. At this point, they keep trying to push out how long it's been. It's like, “Okay, then not for nothing, then why does”—in Amazon's case—“why does Alexa suck? If you've been working on it for this long, why is it so bad at all the rest?” It feels like they're trying to sprint out with a bunch of services that very clearly were not conceptualized until Chat-Gippity's breakthrough.And now it's oh, yeah, we're there, too. Us, too. And they're pivoting all the marketing around something that, frankly, they haven't demonstrated excellence with. And I feel like they're leaving a lot of their existing value proposition completely in the dust. It's, your customers are not using you because of the speculative future, forward-looking AI things; it's because you are able to solve business problems today in ways that are not highly speculative and are well understood. That's not nothing and there needs to be more attention paid to that. And I feel like there's this collective marketing tripping over itself to wrap itself in hype that does them no services.Joe: I totally agree. I feel like honestly, just, like, a marketing perspective, I feel like it's distracting in a lot of ways. And I know it's hot and it's cool, but it's like, I think it's harder right now to, like, stay focused to what you're actually doing well, as opposed to, like, trying to tack on some AI thing. And maybe that's great. I don't know.Maybe that's—honestly, maybe you're seeing some traction there. I don't know. But I totally agree. I feel like everyone right now is, like, selling a future that we don't quite have yet. I don't know. I'm worried that what's going to happen again, is what happened back in the IBM Watson days where everyone starts making bold—over-promising too much with AI until we see another AI winter again.Corey: Oh, the subtext is always, we can't wait to fire our entire customer service department. That one—Joe: Yeah.Corey: Just thrills me.Joe: [laugh].Corey: It's like, no, we're just going to get rid of junior engineers and just have senior engineers. Yeah, where do you think those people come from, by the way? We aren't—they aren't just emerging fully formed from the forehead of some god somewhere. And we're also seeing this wild divergence from reality. Remember, I fix AWS bills for a living. I see very large companies, very large AWS spend.The majority of spend remains on EC2 across the board. So, we don't see a lot of attention paid to that at re:Invent, even though it's the lion's share of everything. When we do contract negotiations, we talk about generative AI plan and strategy, but no one's saying, oh, yeah, we're spending 100 million a year right now on AWS but we should commit 250 because of all this generative AI stuff we're getting into. It's all small-scale experimentation and seeing if there's value there. But that's a far cry from being the clear winner what everyone is doing.I'd further like to point out that I can tell that there's a hype cycle in place and I'm trying to be—and someone's trying to scam me. As soon as there's a sense of you have to get on this new emerging technology now, now, now, now, now. I didn't get heavily into cloud till 2016 or so and I seem to have done all right with that. Whenever someone is pushing you to get into an emerging thing where it hasn't settled down enough to build a curriculum yet, I feel like there's time to be cautious and see what the actual truth is. Someone's selling something; if you can't spot the sucker, chances are, it's you.Joe: [laugh]. Corey, have you thought about making an AI large language model that will help people with their cloud bills? Maybe just feed it, like, your invoices [laugh].Corey: That has been an example, I've used a number of times with a variety of different folks where if AI really is all it's cracked up to be, then the AWS billing system is very much a bounded problem space. There's a lot of nuance and intricacy to it, but it is a finite set of things. Sure, [unintelligible 00:08:56] space is big. So, training something within those constraints and within those confines feels like it would be a terrific proof-of-concept for a lot of these things. Except that when I've experimented a little bit and companies have raised rounds to throw into this, it never quite works out because there's always human context involved. The, oh yeah, we're going to wind up turning off all those idle instances, except they're in idle—by whatever metric you're using—for a reason. And the first time you take production down, you're not allowed to save money anymore.Joe: Nope. That's such a good point. I agree. I don't know about you, Corey. I've been fretting about my job and, like, what I'm doing. I write a lot, I do a lot of videos, I'm programming a lot, and I think… obviously, we've been hearing a lot about, you know, if it's going to replace us or not. I honestly have been feeling a lot better recently about my job stability here. I don't know. I totally agree with you. There's always that, like, human component that needs to get added to it. But who knows, maybe it's going to get better. Maybe there'll be an AI-automated billing management tool, but it'll never be as good as you, Corey. Maybe it will. I don't know. [laugh].Corey: It knows who I am. When I tell it to write in the style of me and give it a blog post topic and some points I want to make, almost everything it says is wrong. But what I'll do is I'll copy that into a text editor, mansplain-correct the robot for ten minutes, and suddenly I've got the bones of a decent rough draft because. And yeah, I'll wind up plagiarizing three or four words in a row at most, but that's okay. I'm plagiarizing the thing that's plagiarizing from me and there's a beautiful symmetry to that. What I don't understand is some of the outreach emails and other nonsensical stuff I'll see where people are letting unsupervised AI just write things under their name and sending it out to people. That is anathema to me.Joe: I totally agree. And it might work today, it might work tomorrow, but, like, it's just a matter of time before something blows up. Corey, I'm curious. Like, personally, how do you feel about being in the ChatGPT, like, brain? I don't know, is that flattering? Does that make you nervous at all?Corey: Not really because it doesn't get it in a bunch of ways. And that's okay. I found the same problem with people. In my time on Twitter, when I started live-tweet shitposting about things—as I tend to do as my first love language—people will often try and do exactly that. The problem that I run into is that, “The failure mode of ‘clever' is ‘asshole,'” as John Scalzi famously said, and as a direct result of that, people wind up being mean and getting it wrong in that direction.It's not that I'm better than they are. It's, I had a small enough following, and no one knew who I was in my mean years, and I realized I didn't feel great making people sad. So okay, you've got to continue to correct the nosedive. But it is perilous and it is difficult to understand the nuance. I think occasionally when I prompt it correctly, it comes up with some amazing connections between things that I wouldn't have seen, but that's not the same thing as letting it write something completely unfettered.Joe: Yeah, I totally agree. The nuance definitely gets lost. It may be able to get, like, the tone, but I think it misses a lot of details. That's interesting.Corey: And other people are defending it when that hallucinates. Like, yeah, I understand there are people that do the same thing, too. Yeah, the difference is, in many cases, lying to me and passing it off otherwise is a firing offense in a lot of places. Because if you're going to be 19 out of 20 times, you're correct, but 5% wrong, you're going to bluff, I can't trust anything you tell me.Joe: Yeah. It definitely, like, brings your, like—the whole model into question.Corey: Also, remember that my medium for artistic creation is often writing. And I think that, on some level, these AI models are doing the same things that we do. There are still turns of phrase that I use that I picked up floating around Usenet in the mid-90s. And I don't remember who said it or the exact context, but these words and phrases have entered my lexicon and I'll use them and I don't necessarily give credit to where the first person who said that joke 30 years ago. But it's a—that is how humans operate. We are influenced by different styles of writing and learn from the rest.Joe: True.Corey: That's a bit different than training something on someone's artistic back catalog from a painting perspective and then emulating it, including their signature in the corner. Okay, that's a bit much.Joe: [laugh]. I totally agree.Corey: So, we wind up looking right now at the rush that is going on for companies trying to internalize their use of enterprise AI, which is kind of terrifying, and it all seems to come back to data.Joe: Yes.Corey: You work in the data space. How are you seeing that unfold?Joe: Yeah, I do. I've been, like, making speculations about the future of AI and data forever. I've had dreams of tools I've wanted forever, and I… don't have them yet. I don't think they're quite ready yet. I don't know, we're seeing things like—tha—I think people are working on a lot of problems.For example, like, I want AI to auto-optimize my database. I want it to, like, make indexes for me. I want it to help me with queries or optimizing queries. We're seeing some of that. I'm not seeing anyone doing particularly well yet. I think it's up in the air.I feel like it could be coming though soon, but that's the thing, though, too, like, I mean, if you mess up a query, or, like, a… large language model hallucinates a really shitty query for you, that could break your whole system really quickly. I feel like there still needs to be, like, a human being in the middle of it to, like, kind of help.Corey: I saw a blog post recently that AWS put out gave an example that just hard-coded a credential into it. And they said, “Don't do this, but for demonstration purposes, this is how it works.” Well, that nuance gets lost when you use that for AI training and that's, I think, in part, where you start seeing a whole bunch of the insecure crap these things spit out.Joe: Yeah, I totally agree. Well, I thought the big thing I've seen, too, is, like, large language models typically don't have a secure option and you're—the answer is, like, help train the model itself later on. I don't know, I'm sure, like, a lot of teams don't want to have their most secret data end up public on a large language model at some point in the future. Which is, like, a huge issue right now.Corey: I think that what we're seeing is that you still need someone with expertise in a given area to review what this thing spits out. It's great at solving a lot of the busy work stuff, but you still need someone who's conversant with the concepts to look at it. And that is, I think, something that turns into a large-scale code review, where everyone else just tends to go, “Oh, okay. We're—do this with code review.” “Oh, how big is the diff?” “50,000 lines.” “Looks good to me.” Whereas, “Three lines.” “I'm going to criticize that thing with four pages of text.” People don't want to do the deep-dive stuff, and—when there's a huge giant project that hits. So, they won't. And it'll be fine, right up until it isn't.Joe: Corey, you and I know people and developers, do you think it's irresponsible to put out there an example of how to do something like that, even with, like, an asterisk? I feel like someone's going to still go out and try to do that and probably push that to production.Corey: Of course they are.Joe: [laugh].Corey: I've seen this with some of my own code. I had something on Docker Hub years ago with a container that was called ‘Terrible Ideas.' And I'm sure being used in, like—it was basically the environment I use for a talk I gave around Git, which makes sense. And because I don't want to reset all the repositories back to the way they came from with a bunch of old commands, I just want a constrained environment that will be the same every time I give the talk. Awesome.I'm sure it's probably being run in production at a bank somewhere because why wouldn't it be? That's people. That's life. You're not supposed to just copy and paste from Chat-Gippity. You're supposed to do that from Stack Overflow like the rest of us. Where do you think your existing code's coming from in a lot of these shops?Joe: Yep. No, I totally agree. Yeah, I don't know. It'll be interesting to see how this shakes out with, like, people going to doing this stuff, or how honest they're going to be about it, too. I'm sure it's happening. I'm sure people are tripping over themselves right now, [adding 00:16:12].Corey: Oh, yeah. But I think, on some level, you're going to see a lot more grift coming out of this stuff. When you start having things that look a little more personalized, you can use it for spam purposes, you can use it for, I'm just going to basically copy and paste what this says and wind up getting a job on Upwork or something that is way more than I could handle myself, but using this thing, I'm going to wind up coasting through. Caveat emptor is always the case on that.Joe: Yeah, I totally agree.Corey: I mean, it's easy for me to sit here and talk about ethics. I believe strongly in doing the right thing. But I'm also not worried about whether I'm able to make rent this month or put food on the table. That's a luxury. At some point, like, a lot of that strips away and you do what you have to do to survive. I don't necessarily begrudge people doing these things until it gets to a certain point of okay, now you're not doing this to stay alive anymore. You're doing this to basically seek rent.Joe: Yeah, I agree. Or just, like, capitalize on it. I do think this is less—like, the space is less grifty than the crypto space, but as we've seen over and over and over and over again, in tech, there's a such a fine line between, like, a genuinely great idea, and somebody taking advantage of it—and other people—with that idea.Corey: I think that's one of those sad areas where you're not going to be able to fix human nature, regardless of the technology stack you bring to bear.Joe: Yeah, I totally agree.[midroll 00:17:30]Corey: So, what else are you seeing these days that interesting? What excites you? What do you see that isn't getting enough attention in the space?Joe: I don't know, I guess I'm in the data space, I'm… the thing I think I do see a lot of is huge interest in data. Data right now is the thing that's come up. Like, I don't—that's the thing that's training these models and everyone trying to figure out what to do with these data, all these massive databases, data lakes, whatever. I feel like everyone's, kind of like, taking a second look at all of this data they've been collecting for years and haven't really known what to do with it and trying to figure out either, like, if you can make a model out of that, if you try to, like… level it up, whatever. Corey, you and I were joking around recently—you've had a lot of data people on here recently, too—I feel like us data folks are just getting extra loud right now. Or maybe there's just the data spaces, that's where the action's at right now.I don't know, the markets are really weird. Who knows? But um, I feel like data right now is super valuable and more so than ever. And even still, like, I mean, we're seeing, like, companies freaking out, like, Twitter and Reddit freaking out about accessing their data and who's using it and how. I don't know, I feel like there's a lot of action going on there right now.Corey: I think that there's a significant push from the data folks where, for a long time data folks were DBAs—Joe: Yeah.Corey: —let's be direct. And that role has continued to evolve in a whole bunch of different ways. It's never been an area I've been particularly strong in. I am not great at algorithmic complexity, it turns out, you can saturate some beefy instances with just a little bit of data if your queries are all terrible. And if you're unlucky—as I tend to be—and have an aura of destroying things, great, you probably don't want to go and make that what you do.Joe: [laugh]. It's a really good point. I mean, I don't know about, like, if you blow up data at a company, you're probably going to be in big trouble. And especially the scale we're talking about with most companies these days, it's super easy to either take down a server or generate an insane bill off of some shitty query.Corey: Oh, when I was at Reach Local years and years ago—my first Linux admin job—when I broke the web server farm, it was amusing; when I broke part of the data warehouse, nobody was laughing.Joe: [laugh]. I wonder why.Corey: It was a good faith mistake and that's fair. It was a convoluted series of things that set up and honestly, the way the company and my boss responded to me at the time set the course of the rest of my career. But it was definitely something that got my attention. It scares me. I'm a big believer in backups as a direct result.Joe: Yeah. Here's the other thing, too. Actually, our company, Tinybird, is working on versioning with your data sources right now and treating your data sources like Git, but I feel like even still today, most companies are just run by some DBA. There's, like, Mike down the hall is the one responsible keeping their SQL servers online, keeping them rebooted, and like, they're manually updating any changes on there.And I feel like, generally speaking across the industry, we're not taking data seriously. Which is funny because I'm with you on there. Like, I get terrified touching production databases because I don't want anything bad to happen to them. But if we could, like, make it easier to rollback or, like, handle that stuff, that would be so much easier for me and make it, like, less scary to deal with it. I feel like databases and, like, treating it as, like, a serious DevOps practice is not really—I'm not seeing enough of it. It's definitely, people are definitely doing it. Just, I want more.Corey: It seems like with data, there's a lack of iterative approaches to it. A line that someone came up with when I was working with them a decade and change ago was that you can talk about agile all you want, but when it comes to payments, everyone's doing waterfall. And it feels like, on some level, data's kind of the same.Joe: Yeah. And I don't know, like, how to fix it. I think everyone's just too scared of it to really touch it. Migrating over to a different version control, tr

In this episode of Infrastructure Matters, hosts Camberley Bates, Krista Macomber, and Steven Dickens discuss various topics related to the tech industry and mainframe computing. They begin by mentioning upcoming events like VMware Explore and Google Next. Steven Dickens talks about his Forbes article covering the Open Enterprise Linux Association, which involves SUSE, Oracle, and Six collaborating to support a forked version of RHEL (Red Hat Enterprise Linux). The conversation touches on the importance of choice and community collaboration in the open-source space. Topics include: Upcoming industry events, open-source collaboration, and mainframe computing Steven Dickens discusses the collaboration between SUSE, Oracle, and Six to support a forked version of RHEL and the importance of choice in the open-source community Krista Macomber highlights AWS Storage Day's focus on data protection and resiliency, especially in the context of cloud-based backup and air gap storage We discuss the SHARE Conference, with an emphasis on its changing demographics and the growth of Linux on the mainframe We also touch on open-source projects in the mainframe community and the evolving landscape of mainframe computing

In this episode of the Infrastructure Matters podcast, hosts Steven Dickens and Camberley Bates break down the recent earnings from Dell, Lenovo and HPE and the impact of announcements and orders for Generative AI technology. They also dive into the overwhelming number of announcements from Google Cloud Next, with Steven coming straight from the conference. We look at Google partnerships, Vertex, A3 VM, Kubernetes and what Google is doing to address security in their cloud.  Topics include:  Recent announcements and earnings from Dell, Lenovo and HPE and what it means in the world of Generative AI Highlights from the Google Next conference including key announcements around Generative AI NetApp's announcements on ONTAP and demo's for generative AI And will you trust DuetAI for your Google Gmail?  Competition and collaboration we are seeing with generative AI including highlights from Google, AWS, Oracle

Welcome episode 227 of the Cloud Pod podcast - where the forecast is always cloudy! This week your hosts are Justin, Jonathan, Matthew and Ryan - and they're REALLY excited to tell you all about the 161 one things announced at Google Next. Literally, all the things. We're also saying farewell to EC2 Classic, Amazon SES, and Azure's Explicit Proxy - which probably isn't what you think it is.  Titles we almost went with this week:

Welcome episode 226 of the Cloud Pod podcast - where the forecast is always cloudy! This week Justin, Matt and Ryan chat about all the news and announcements from Google Next, including - surprise surprise - the hot topic of AI, GKE Enterprise, Duet, Co-Pilot, Code Whisperer and more! There's even some non-Next news thrown into the episode. So whether you're interested in BART or Bard, we've got the news from SF just for you.  Titles we almost went with this week:

Nada Lena is the founder and CEO of Rise Up For You, Leadership and Career Confidence Coach, #1 Best Selling Author, and a 2x TEDx Motivational Speaker.With over 10 years of experience as a college professor and former top executive for an education corporation, Nada understands the importance of fusing education, empowerment, and leadership together as she works with her clients and speaks to audiences worldwide. She has toured the world as a singer, has a Master's degree in Administrative Leadership, and has coached and mentored close to 50,000 individuals around the world on self-empowerment, career strategy, and soft skills. Nada has been featured on hundreds of podcasts and radio shows and has also been a motivational and educational speaker on platforms such as TEDx Talks, The Female Quotient, The California Human Resources Conference, Wonder Women Tech, The Human Gathering, and more. Her company, Rise Up For You has been featured and worked with brands such as CBS, LA Fitness, Google Next 19, and more. Nada is a proud recipient of the Chief's Award from the Orange County Sheriff's Department, is a three-time finalist for The Emerging Woman-Owned Business Award, and was most recently awarded the 40 Under 40 Award for Orange County Professionals in 2020 and the Women of Influence in 2021 for Entrepreneurship. Nada believes that in order to create change within our communities, companies, and households, we must first create change within ourselves. It's a collective effort needed from all parties; no company, adult, or young adult can be left behind. The world needs us at our best!  www.nadalena.com⁠ ⁠https://www.linkedin.com/in/nadalena/ --- Send in a voice message: https://podcasters.spotify.com/pod/show/fromthehart/message

Guests:  no guests, all banter, all very fun :-) Topics: How is Google Next this year? What is new in cloud security? Is Google finally a security vendor? What are some of the fun security presentations we've seen, including our own? Any impactful launches in security? What was the most interesting overall? Resources: “Next 2023 Special: Building AI-powered Security Tools - How Do We Do It?” (ep136) “RSA 2023 - What We Saw, What We Learned, and What We're Excited About” (ep119) “Cyber Defense Matrix and Does Cloud Security Have to DIE to Win?” (ep67) “Detecting, investigating, and responding to threats in your Google Cloud environment” at Cloud Next 2023 by Anton “Prevent cloud compromises: Learn how Uber discovers cyber risks and remediates threats” at Cloud Next 2023 by Tim “Generative AI for defenders with Sec-PaLM 2 and Duet AI” at Cloud Next 2023 by Eric Doerr (his episode) “A blueprint for modern security operations” at Cloud Next 2023 by our future guest, Chris… Kevin Mandia at Next keynote (start at 1:15:00) “New AI capabilities that can help address your security challenges” blog

Google Next Eve! Welcome episode 225 of The CloudPod Podcast - where the forecast is always cloudy! Justin, Jonathan, and Ryan are your hosts this week as we discuss all things Google Next! We talk schedule offerings, make our predictions about announcements, and prepare to be generally wrong about everything. Also - do you like stickers? Everyone likes stickers! Be on the lookout for us, and maybe you can have one.  Titles we almost went with this week: None! Google Next is the next big thing, so of course it's the title.  A big thanks to this week's sponsor: Foghorn Consulting provides top-notch cloud and DevOps engineers to the world's most innovative companies. Initiatives stalled because you have trouble hiring?  Foghorn can be burning down your DevOps and Cloud backlogs as soon as next week.

Welcome episode 219 of The Cloud Pod podcast - where the forecast is always cloudy! Today your hosts are Justin and Jonathan, and they discuss all things cloud, including clickstream analytics, databricks, Microsoft Entra, virtual machines, Outlook threats, and some major changes over at the Google Cloud team.  Titles we almost went with this week: TCP is not Entranced with Entra ID The Cave you Fear to Entra, Holds the Treasure you Seek Microsoft should rethink Entra rules for their Email A big thanks to this week's sponsor: Foghorn Consulting, provides top-notch cloud and DevOps engineers to the world's most innovative companies. Initiatives stalled because you have trouble hiring?  Foghorn can be burning down your DevOps and Cloud backlogs as soon as next week.

Who is B. Jeffrey Madoff? B. Jeffrey Madoff is the founder of Madoff Productions, based in New York City. A gifted storyteller and incisive interviewer, Jeff has used those talents to help position major brands such as Ralph Lauren, Victoria's Secret, Radio City Music Hall, and the Harvard School for Public Health.   Jeff began his career as a fashion designer. He was chosen one of the top 10 designers in the U.S. then switched careers to film and video production. He has since expanded his reach to include teaching, book and playwriting, and theatrical producing.   He is an adjunct professor at Parsons School for Design, teaching a course he developed called “Creativity: Making a Living with Your Ideas”. Every week Madoff has a conversation with a guest from a wide variety of fields, from artists and entrepreneurs to venture capitalists and business leaders. The book about his class, “Creative Careers: Making a Living with Your Ideas”, was published by Hachette in 2019. The podcast launched in 2021.   Jeff has been a featured speaker at Wharton School, NYU Steinhardt, North Carolina State, SXSW Brazil, Google Next and many others.    He has written and is producing a play based on the Rock and Roll Hall of Fame legend, Lloyd Price.   How to Connect with B. Jeffery? Website 1: www.ACreativeCareer.com Website 2: www.MadoffProductions.com LinkedIn: www.LinkedIn.com/in//B-Jeffrey-Madoff-5baa8074 Instagram: www.Instagram.co/ACreativecareer --------------------------------------- Download Dr. Vic's FREE eBook on The Mindset Solution: https://drvic.systeme.io/the-mindset-solution-ebook   Do You Want to Learn How to Have Success Effortlessly? Are you looking to double your profits, create financial freedom/independence, create more fulfillment, work less, make more, and have more freedom and time with your loved ones?   If you answered "YES" to any of these, let us set up a call to discover how I can accelerate that process for you.  Just visit the link below and set up a time that works best for you to connect.   www.CallwithDrVic.com

B. Jeffrey Madoff is the Founder of Madoff Productions, a company that collaborates directly with clients, ad agencies, and public relations firms to produce commercials, corporate branding films, live streaming events, social media, and web content. Jeffrey is the writer and producer of Personality: The Lloyd Price Musical and author of Creative Careers: Making a Living with Your Ideas. He began his career as a fashion designer and was named one of the top ten designers in the U.S. He produced and directed award-winning commercials, documentaries, and web content for Ralph Lauren, Victoria's Secret, Tiffany, Radio City Music Hall, The American Academy of Dramatic Arts, Harvard University, and Weill Cornell Medical College.  Jeffrey has been a featured speaker at The Wharton School, NYU Steinhardt, Princeton University, SXSW Brazil, Vision Summit, Rise: Barclay's Bank Accelerator, XRB Labs, Mastermind Group, Google Next, and many others. In this episode… Creativity is an essential part of entrepreneurship. How can you align and create clear goals for yourself and your team? What steps can you take to elevate your brand? In theater, being quick on your feet to come up with a solution is a crucial element — but surrounding yourself with respected players in your industry can help you achieve new heights. By associative leveraging, you can grow yourself and your brand. B. Jeffrey Madoff knows the trials and struggles to survive when building your dreams. But by exposing yourself and your work, you're able to mature and grow in the process which makes you a better leader.  In this episode of Access To Anyone, Michael Roderick sits down with B. Jeffrey Madoff, Founder of Madoff Productions, to talk about building a network to expand your brand. Jeffrey shares his first steps into the theater realm, why you shouldn't be afraid of new opportunities, and becoming the right leader to elevate your brand.

About BrianBrian leads the Google Cloud Product and Industry Marketing team. This team is focused on accelerating the growth of Google Cloud by establishing thought leadership, increasing demand and usage, enabling their sales teams and partners to tell their product stories with excellence, and helping their customers be the best advocates for them.Before joining Google, Brian spent over 25 years in product marketing or engineering in different forms. He started his career at Microsoft and had a very non-traditional path for 20 years. Brian worked in every product division except for cloud. He did marketing, product management, and engineering roles. And, early on, he was the first speech writer for Steve Ballmer and worked on Bill Gates' speeches too. His last role was building up the Microsoft Surface business from scratch as VP of the hardware businesses. After Microsoft, Brian spent a year as CEO at a hardware startup called Doppler Labs, where they made a run at transforming hearing, and then spent two years as VP at Amazon Web Services leading product marketing, developer advocacy, and a bunch more marketing teams.Brian has three kids still at home, Barty, Noli, and Alder, who are all named after trees in different ways. His wife Edie and him met right at the beginning of their first year at Yale University, where Brian studied math, econ, and philosophy and was the captain of the Swim and Dive team his senior year. Edie has a PhD in forestry and runs a sustainability and forestry consulting firm she started, that is aptly named “Three Trees Consulting”. As a family they love the outdoors, tennis, running, and adventures in Brian's 1986 Volkswagen Van, which is his first and only car, that he can't bring himself to get rid of.Links Referenced: Google Cloud: https://cloud.google.com @isforat: https://twitter.com/IsForAt LinkedIn: https://www.linkedin.com/in/brhall/ TranscriptAnnouncer: Hello, and welcome to Screaming in the Cloud with your host, Chief Cloud Economist at The Duckbill Group, Corey Quinn. This weekly show features conversations with people doing interesting work in the world of cloud, thoughtful commentary on the state of the technical world, and ridiculous titles for which Corey refuses to apologize. This is Screaming in the Cloud.Corey: This episode is brought to us by our friends at Pinecone. They believe that all anyone really wants is to be understood, and that includes your users. AI models combined with the Pinecone vector database let your applications understand and act on what your users want… without making them spell it out. Make your search application find results by meaning instead of just keywords, your personalization system make picks based on relevance instead of just tags, and your security applications match threats by resemblance instead of just regular expressions. Pinecone provides the cloud infrastructure that makes this easy, fast, and scalable. Thanks to my friends at Pinecone for sponsoring this episode. Visit Pinecone.io to understand more.Corey: This episode is brought to you in part by our friends at Veeam. Do you care about backups? Of course you don't. Nobody cares about backups. Stop lying to yourselves! You care about restores, usually right after you didn't care enough about backups. If you're tired of the vulnerabilities, costs, and slow recoveries when using snapshots to restore your data, assuming you even have them at all living in AWS-land, there is an alternative for you. Check out Veeam, that's V-E-E-A-M for secure, zero-fuss AWS backup that won't leave you high and dry when it's time to restore. Stop taking chances with your data. Talk to Veeam. My thanks to them for sponsoring this ridiculous podcast.Corey: Welcome to Screaming in the Cloud. I'm Corey Quinn. This episode is brought to us by our friends at Google Cloud and, as a part of that, they have given me someone to, basically, harass for the next half hour. Brian Hall is the VP of Product Marketing over at Google Cloud. Brian, welcome back.Brian: Hello, Corey. It's good to be here, and technically, we've given you time to harass me by speaking with me because you never don't have the time to harass me on Twitter and other places, and you're very good at it.Corey: Well, thank you. Again, we first met back when you were doing, effectively, the same role over at AWS. And before that, you spent only 20 years or so at Microsoft. So, you've now worked at all three of the large hyperscale cloud providers. You probably have some interesting perspectives on how the industry has evolved over that time. So, at the time of this recording, it is after Google Next and before re:Invent. There was also a Microsoft event there that I didn't pay much attention to. Where are we as a culture, as an industry, when it comes to cloud?Brian: Well, I'll start with it is amazing how early days it still is. I don't want to be put on my former Amazon cap too much, and I think it'd be pushing it a little bit to say it's complete and total day one with the cloud. But there's no question that there is a ton of evolution still to come. I mean, if you look at it, you can kind of break it into three eras so far. And roll with me here, and happy to take any dissent from you.But there was kind of a first era that was very much led by Amazon. We can call it the VM era or the component era, but being able to get compute on-demand, get nearly unlimited or actually unlimited storage with S3 was just remarkable. And it happened pretty quickly that startups, new tech companies, had to—like, it would be just wild to not start with AWS and actually start ordering servers and all that kind of stuff. And so, I look at that as kind of the first phase. And it was remarkable how long Amazon had a run really as the only player there. And maybe eight years ago—six years ago—we could argue on timeframes, things shifted a little bit because the enterprises, the big companies, and the governments finally realized, “Holy crow. This thing has gotten far enough that it's not just for these startups.”Corey: Yeah. There was a real change. There was an eye-opening moment there where it isn't just, “I want to go and sell things online.” It's, “And I also want to be a bank. Can we do that with you?” And, “Huh.”Brian: My SAP—like I don't know big that darn thing is going to get. Could I put it in your cloud? And, “Oh, by the way, CapEx forecasting stinks. Can you get me out of that?” And so, it became like the traditional IT infrastructure. All of the sudden, the IT guys showed up at the party, which I know is—it sounds fun to me, but that doesn't sound like the best addition to a party for many people. And so essentially, old-school IT infrastructure finally came to the cloud and Microsoft couldn't miss that happening when it did. But it was a major boon for AWS just because of the position that they had already.Corey: And even Google as well. All three of you now are pivoting in a lot of the messaging to talk to the big E enterprises out there. And I've noticed for the last few years, and I'm not entirely alone. When I go to re:Invent, and I look at announcements they're making, sure they have for the serverless stuff and how to run websites and EC2 nonsense. And then they're talking about IOT things and other things that just seem very oriented on a persona I don't understand. Everyone's doing stuff with mainframes now for example. And it feels like, “Oh, those of us who came here for the web services like it says on the name of the company aren't really feeling like it's for us anymore.” It's the problem of trying to be for everyone and pivoting to where the money is going, but Google's done this at least as much as anyone has in recent years. Are those of us who don't have corporate IT-like problems no longer the target market for folks or what's changed?Brian: It's still the target market, so like, you take the corporate IT, they're obviously still moving to the cloud. And there's a ton of opportunity. Just take existing IT spending and see a number over $1 trillion per year, and if you take the run rates of Microsoft, Amazon, Google Cloud, it's certainly over $100 billion, but that means it's still less than ten percent of what is existing IT spending. There are many people that think that existing IT spend number is significantly higher than that. But to your point on what's changing, there's actually a third wave that's happening.So, if the first wave was you start a company. You're a tech company, of course, you start it on AWS or on the Cloud. Second wave is all the IT people, IT departments, the central organizations that run technology for all the people that are not technology people come to the cloud. This third wave is everybody has to become a technology person. If you're a business leader, like you're at a fast-food restaurant and you're responsible for the franchisee relations, before, like, you needed to get an EDI system running or something, and so you told your IT department to figure out.Now, you have to actually think about what apps do we want to provide to our customers. How do I get the right data to my franchisees so that they can make business decisions? How can I automate all that? And you know, whereas before I was a guy wearing a suit or a gal wearing a suit who didn't need to know technology, I now have to. And that's what's changing the most. And it's why the Target Addressable Market—or the TAM as business folk sometimes say—it's really hard to estimate looking forward if every business is really needing to become a technology business in many ways. And it didn't dawn on me, honestly, and you can give me all the ribbing that I probably deserve for this—but it didn't really dawn on me until I came to Google and kept hearing the transformation word, “Digital transformation, digital transformation,” and honestly, having been in software for so long, I didn't really know what digital transformation meant until I started seeing all of these folks, like every company have to become a tech company effectively.Corey: Yeah. And it turns out there aren't enough technologists to go around, so it's very challenging to wind up getting the expertise in-house. It's natural to start looking at, “Well, how do we effectively outsource this?” And well, you can absolutely have a compression algorithm for experience. It's called, “Buying products and services and hiring people who have that experience already baked in either to the product or they show up knowing how to do something because they've done this before.”Brian: That's right. The thing I think we have to—for those of us that come from the technology side, this transformation is scary for the people who all of the sudden have to get tech and be like—Corey, if you or I—actually, you're very artistic, so maybe this wouldn't do it for you—but if I were told, “Hey, Brian, for your livelihood, you now need to incorporate painting,” like…Corey: [laugh]. I can't even write legibly let alone draw or paint. That is not my skill set. [laugh].Brian: I'd be like, “Wait, what? I'm not good at painting. I've never been a painting person, like I'm not creative.” “Okay. Great. Then we're going to fire you, or we're going to bring someone in who can.” Like, that'd be scary. And so, having more services, more people that can help as every company goes through a transition like that—and it's interesting, it's why during Covid, the cloud did really well, and some people kind of said, “Well, it's because they—people didn't want to send their people into their data centers.” No. That wasn't it. It was really because it just forced the change to digital. Like the person to, maybe, batter the analogy a little bit—the person who was previously responsible for all of the physical banks, which are—a bank has, you know, that are retail locations—the branches—they have those in order to service the retail customers.Corey: Yeah.Brian: That person, all of the sudden, had to figure out, “How do I do all that service via phone, via agents, via an app, via our website.” And that person, that entire organization, was forced digital in many ways. And that certainly had a lot of impact on the cloud, too.Corey: Yeah. I think that some wit observed a few years back that Covid has had more impact on your digital transformation than your last ten CIOs combined.Brian: Yeah.Corey: And—yeah, suddenly, you're forcing people into a position where there really is no other safe option. And some of that has unwound but not a lot of it. There's still seem to be those same structures and ability to do things from remote locations then there were before 2020.Brian: Yeah. Since you asked, kind of, where we are in the industry, to bring all of that to an endpoint, now what this means is people are looking for cloud providers, not just to have the primitives, not just to have the IT that they—their central IT needed, but they need people who can help them build the things that will help their business transform. It makes it a fun, new stage, new era, a transformation era for companies like Google to be able to say, “Hey, here's how we build things. Here's what we've learned over a period of time. Here's what we've most importantly learned from other customers, and we want to help be your strategic partner in that transformation.” And like I said, it'd be almost impossible to estimate what the TAM is for that. The real question is how quickly can we help customers and innovate in our Cloud solutions in order to make more of the stuff more powerful and faster to help people build.Corey: I want to say as well that—to be clear—you folks can buy my attention but not my opinion. I will not say things if I do not believe them. That's the way the world works here. But every time I use Google Cloud for something, I am taken aback yet again by the developer experience, how polished it is. And increasingly lately, it's not just that you're offering those low-lying primitives that composed together to build things higher up the stack, you're offering those things as well across a wide variety of different tooling options. And they just tend to all make sense and solve a need rather than requiring me to build it together myself from popsicle sticks.And I can't shake the feeling that that's where the industry is going. I'm going to want someone to sell me an app to do expense reports. I'm not going to want—well, I want a database and a front-end system, and how I wind up storing all the assets on the backend. No. I just want someone to give me something that solves that problem for me. That's what customers across the board are looking for as best I can see.Brian: Well, it certainly expands the number of customers that you can serve. I'll give you an example. We have an AI agent product called Call Center AI which allows you to either build a complete new call center solution, or more often it augments an existing call center platform. And we could sell that on an API call basis or a number of agent seats basis or anything like that. But that's not actually how call center leaders want to buy. Imagine we come in and say, “This many API calls or $4 per seat or per month,” or something like that. There's a whole bunch of work for that call center leader to go figure out, “Well, do I want to do this? Do I not? How should I evaluate it versus others?” It's quite complex. Whereas, if we come in and say, “Hey, we have a deal for you. We will guarantee higher customer satisfaction. We will guarantee higher agent retention. And we will save you money. And we will only charge you some percentage of the amount of money that you're saved.”Corey: It's a compelling pitch.Brian: Which is an easier one for a business decision-maker to decide to take?Corey: It's no contest. I will say it's a little odd that—one thing—since you brought it up, one thing that struck me as a bit strange about Contact Center AI, compared to most of the services I would consider to be Google Cloud, instead of, “Click here to get started,” it's, “Click here to get a demo. Reach out to contact us.” It feels—Brian: Yeah.Corey: —very much like the deals for these things are going to get signed on a golf course.Brian: [laugh]. They—I don't know about signed on a golf course. I do know that there is implementation work that needs to be done in order to build the models because it's the model for the AI, figuring out how your particular customers are served in your particular context that takes the work. And we need to bring in a partner or bring in our expertise to help build that out. But it sounds to me like you're looking to go golfing since you've looked into this situation.Corey: Just like painting, I'm no good at golfing either.Brian: [laugh].Corey: Honestly, it's—it just doesn't have the—the appeal isn't there for me for whatever reason. I smile; I nod; I tend to assume that, “Yeah, that's okay. I'll leave some areas for other people to go exploring in.”Brian: I see. I see.Corey: So, two weeks before Google Cloud Next occurred, you folks wound up canceling Stadia, which had been rumored for a while. People had been predicting it since it was first announced because, “Just wait. They're going to Google Reader it.” And yeah, it was consumer-side, and I do understand that that was not Cloud. But it did raise the specter of—for people to start talking once again about, “Oh, well, Google doesn't have any ability to focus on things long-term. They're going to turn off Cloud soon, too. So, we shouldn't be using it at all.” I do not agree with that assessment.But I want to get your take on it because I do have some challenges with the way that your products and services go to market in some ways. But I don't have the concern that you're going to turn it all off and decide, “Yeah, that was a fun experiment. We're done.” Not with Cloud, not at this point.Brian: Yeah. So, I'd start with at Google Cloud, it is our job to be a trusted enterprise platform. And I can't speak to before I was here. I can't speak to before Thomas Kurian, who's our CEO, was here before. But I can say that we are very, very focused on that. And deprecating products in a surprising way or in a way that doesn't take into account what customers are on it, how can we help those customers is certainly not going to help us do that. And so, we don't do that anymore.Stadia you brought up, and I wasn't part of starting Stadia. I wasn't part of ending Stadia. I honestly don't know anything about Stadia that any average tech-head might not know. But it is a different part of Google. And just like Amazon has deprecated plenty of services and devices and other things in their consumer world—and Microsoft has certainly deprecated many, many, many consumer and other products—like, that's a different model. And I won't say whether it's good, bad, or righteous, or not.But I can say at Google Cloud, we're doing a really good job right now. Can we get better? Of course. Always. We can get better at communicating, engaging customers in advance. But we now have a clean deprecation policy with a set of enterprise APIs that we commit to for stated periods of time. We also—like people should take a look. We're doing ten-year deals with companies like Deutsche Bank. And it's a sign that Google is here to last and Google Cloud in particular. It's also at a market level, just worth recognizing.We are a $27 billion run rate business now. And you earn trust in drips. You lose it in buckets. And we're—we recognize that we need to just keep every single day earning trust. And it's because we've been able to do that—it's part of the reason that we've gotten as large and as successful as we have—and when you get large and successful, you also tend to invest more and make it even more clear that we're going to continue on that path. And so, I'm glad that the market is seeing that we are enterprise-ready and can be trusted much, much more. But we're going to keep earning every single day.Corey: Yeah. I think it's pretty fair to say that you have definitely gotten yourselves into a place where you've done the things that I would've done if I wanted to shore up trust that the platform was not going to go away. Because these ten-year deals are with the kinds of companies that, shall we say, do not embark on signing contracts lightly. They very clearly, have asked you the difficult, pointed questions that I'm basically asking you now as cheap shots. And they ask it in very serious ways through multiple layers of attorneys. And if the answers aren't the right answers, they don't sign the contract. That is pretty clearly how the world works.The fact that companies are willing to move things like core trading systems over to you on a ten-year time horizon, tells me that I can observe whatever I want from the outside, but they have actual existential risk questions tied to what they're doing. And they are in some ways betting their future on your folks. You clearly know what those right answers are and how to articulate them. I think that's the side of things that the world does not get to see or think about very much. Because it is easy to point at all the consumer failings and the hundreds of messaging products that you continually replenish just in order to kill.Brian: [laugh].Corey: It's—like, what is it? The tree of liberty must be watered periodically from time to time, but the blood of patriots? Yeah. The logo of Google must be watered by the blood of canceled messaging products.Brian: Oh, come on. [laugh].Corey: Yeah. I'm going to be really scared if there's an actual, like, Pub/Sub service. I don't know. That counts as messaging, sort of. I don't know.Brian: [laugh]. Well, thank you. Thank you for the recognition of how far we've come in our trust from enterprises and trust from customers.Corey: I think it's the right path. There's also reputational issues, too. Because in the absence of new data, people don't tend to change their opinion on things very easily. And okay, there was a thing I was using. It got turned off. There was a big kerfuffle. That sticks in people's minds. But I've never seen an article about a Google service saying, “Oh, yeah. It hasn't been turned off or materially changed. In fact, it's gotten better with time. And it's just there working reliably.” You're either invisible, or you're getting yelled at.It feels like it's a microcosm of my early career stage of being a systems administrator. I'm either invisible or the mail system's broke, and everyone wants my head. I don't know what the right answer is—Brian: That was about right to me.Corey: —in this thing. Yeah. I don't know what the right answer on these things is, but you're definitely getting it right. I think the enterprise API endeavors that you've gone through over the past year or two are not broadly known. And frankly, you've definitely are ex-AWS because enterprise APIs is a terrible name for what these things are.Brian: [laugh].Corey: I'll let you explain it. Go ahead. And bonus points if you can do it without sounding like a press release. Take it away.Brian: There are a set of APIs that developers and companies should be able to know are going to be supported for the period of time that they need in order to run their applications and truly bet on them. And that's what we've done.Corey: Yeah. It's effectively a commitment that there will not be meaningful deprecations or changes to the API that are breaking changes without significant notice periods.Brian: Correct.Corey: And to be clear, that is exactly what all of the cloud providers have in their enterprise contracts. They're always notice periods around those things. There are always, at least, certain amounts of time and significant breach penalties in the event that, “Yeah, today, I decided that we were just not going to spin up VMs in that same way as we always have before. Sorry. Sucks to be you.” I don't see that happening on the Google Cloud side of the world very often, not like it once did. And again, we do want to talk about reputations.There are at least four services that I'm aware of that AWS has outright deprecated. One, Sumerian has said we're sunsetting the service in public. But on the other end of the spectrum, RDS on VMWare has been completely memory-holed. There's a blog post or two but nothing else remains in any of the AWS stuff, I'm sure, because that's an, “Enterprise-y” service, they wound up having one on one conversations with customers or there would have been a hue and cry. But every cloud provider does, in the fullness of time, turn some things off as they learn from their customers.Brian: Hmm. I hadn't heard anything about AWS Infinidash for a while either.Corey: No, no. It seems to be one of those great services that we made up on the internet one day for fun. And I love that just from a product marketing perspective. I mean, you know way more about that field than I do given that it's your job, and I'm just sitting here in this cheap seats throwing peanuts at you. But I love the idea of customers just come up and make up a product one day in your space and then the storytelling that immediately happens thereafter. Most companies would kill for something like that just because you would expect on some level to learn so much about how your reputation actually works. When there's a platonic ideal of a service that isn't bothered by pesky things like, “It has to exist,” what do people say about it? And how does that work?And I'm sort of surprised there wasn't more engagement from Amazon on that. It always seems like they're scared to say anything. Which brings me to a marketing question I have for you. You and Amazing have similar challenges—you being Google in this context, not you personally—in that your customers take themselves deadly seriously. And as a result, you have to take yourselves with at least that same level of seriousness. You can't go on Twitter and be the Wendy's Twitter account when you're dealing with enterprise buyers of cloud platforms. I'm kind of amazed, and I'd love to know. How can you manage to say anything at all? Because it just seems like you are so constrained, and there's no possible thing you can say that someone won't take issue with. And yes, some of the time, that someone is me.Brian: Well, let's start with going back to Infinidash a little bit. Yes, you identified one interesting thing about that episode, if I can call it an episode. The thing that I tell you though that didn't surprise me is it shows how much of cloud is actually learned from other people, not from the cloud provider itself. I—you're going to be going to re:Invent. You were at Google Cloud Next. Best thing about the industry conferences is not what the provider does. It's the other people that are there that you learn from. The folks that have done something that you've been trying to do and couldn't figure out how to do, and then they explained it to you, just the relationships that you get that help you understand what's going on in this industry that's changing so fast and has so much going on.And so,   And so, that part didn't surprise me. And that gets a little bit to the second part of your—that we're talking about. “How do you say anything?” As long as you're helping a customer say it. As long as you're helping someone who has been a fan of a product and has done interesting things with it say it, that's how you communicate for the most part, putting a megaphone in front of the people who already understand what's going on and helping their voice be heard, which is a lot more fun, honestly, than creating TV ads and banner ads and all of the stuff that a lot of consumer and traditional companies. We get to celebrate our customers and our creators much, much more.Corey: This episode is sponsored in part by our friends at Uptycs, because they believe that many of you are looking to bolster your security posture with CNAPP and XDR solutions. They offer both cloud and endpoint security in a single UI and data model. Listeners can get Uptycs for up to 1,000 assets through the end of 2023 (that is next year) for $1. But this offer is only available for a limited time on UptycsSecretMenu.com. That's U-P-T-Y-C-S Secret Menu dot com.Corey: I think that it's not super well understood by a lot of folks out there that the official documentation that any cloud provider puts out there is kind of a last resort. Or I'm looking for the specific flag to a specific parameter of a specific command. Great. Sure. But what I really want to do whenever I'm googling how to do something—and yes, that—we're going to be googling—welcome. You've successfully owned that space to the point where it's become common parlance. Good work is I want to see what other people had said. I want to find blog posts, ideally recent ones, talking about how to do the thing that I'm trying to do. If I'm trying to do something relatively not that hard or not that uncommon, if I spin up three web servers behind a load-balancer, and I can't find any community references on how to do that thing, either I'm trying to do something absolutely bizarre and I should re-think it, or there is no community/customer base for the product talking about how to do things with it.And I have noticed a borderline Cambrian explosion over the last few years of the Google Cloud community. I'm seeing folks who do not work at Google, and also who have never worked at Google, and sometimes still think they work at Google in some cases. It's not those folks. It is people who are just building things as a customer. And they, in turn, become very passionate advocates for the platform. And they start creating content on these things.Brian: Yeah. We've been blessed to have, not only, the customer base grow, but essentially the passion among that customer base, and we've certainly tried to help building community and catalyzing the community, but it's been fun to watch how our customers' success turns into our success which turns into customer success. And it's interesting, in particular, to see too how much of that passion comes from people seeing that there is another way to do things.It's clear that many people in our industry knew cloud through the lens of Amazon, knew tech in general through the lenses of Microsoft and Oracle and a lot of other companies. And Google, which we try and respect specifically what people are trying to accomplish and how they know how to do it, we also many ways have taken a more opinionated approach, if you will, to say, “Hey, here's how this could be done in a different way.” And when people find something that's unexpectedly different and also delightful, it's more likely that they're going to be strong advocates and share that passion with the world.Corey: It's a virtuous cycle that leads to the continued growth and success of a platform. Something I've been wondering about in the broader sense, is what happens after this? Because if, let's say for the sake of argument, that one of the major cloud providers decided, “Okay. You know, we're going to turn this stuff off. We've decided we don't really want to be in the cloud business.” It turns out that high-margin businesses that wind up turning into cash monsters as soon as you stop investing heavily in growing them, just kind of throw off so much that, “We don't know what to do with. And we're running out of spaces to store it. So, we're getting out of it.” I don't know how that would even be possible at some point. Because given the amount of time and energy some customers take to migrate in, it would be a decade-long project for them to migrate back out again.So, it feels on some level like on the scale of a human lifetime, that we will be seeing the large public cloud providers, in more or less their current form, for the rest of our lives. Is that hopelessly naïve? Am I missing—am I overestimating how little change happens in the sweep of a human lifetime in technology?Brian: Well, I've been in the tech industry for 27 years now. And I've just seen a continual moving up the stack. Where, you know, there are fundamental changes. I think the PC becoming widespread, fundamental change; mobile, certainly becoming primary computing experience—what I know you call a toilet computer, I call my mobile; that's certainly been a change. Cloud has certainly been a change. And so, there are step functions for sure. But in general, what has been happening is things just keep moving up the stack. And as things move up the stack, there are companies that evolve and learn to do that and provide more value and more value to new folks. Like I talked about how businesspeople are leaders in technology now in a way that they never were before. And you need to give them the value in a way that they can understand it, and they can consume it, and they can trust it. And it's going to continue to move in that direction.And so, what happens then as things move up the stack, the abstractions start happening. And so, there are companies that were just major players in the ‘90s, whether it's Novell or Sun Microsystems or—I was actually getting a tour of the Sunnyvale/Mountain View Google Campuses yesterday. And the tour guide said, “This used to be the site of a company that was called Silicon Graphics. They did something around, like, making things for Avatar.” I felt a little aged at that point.But my point is, there are these companies that were amazing in their time. They didn't move up the stack in a way that met the net set of needs. And it's not like that crater the industry or anything, it's just people were able to move off of it and move up. And I do think that's what we'll see happening.Corey: In some cases, it seems to slip below the waterline and become, effectively, plumbing, where everyone uses it, but no one knows who they are or what they do. The Tier 1 backbone providers these days tend to be in that bucket. Sure, some of them have other businesses, like Verizon. People know who Verizon is, but they're one of the major Tier 1 carriers in the United States just of the internet backbone.Brian: That's right. And that doesn't mean it's not still a great business.Corey: Yeah.Brian: It just means it's not front of mind for maybe the problems you're trying to solve or the opportunities we're trying to capture at that point in time.Corey: So, my last question for you goes circling back to Google Cloud Next. You folks announced an awful lot of things. And most of them, from my perspective, were actually pretty decent. What do you think is the most impactful announcement that you made that the industry largely overlooked?Brian: Most impactful that the industry—well, overlooked might be the wrong way to put this. But there's this really interesting thing happening in the cloud world right now where whereas before companies, kind of, chose their primary cloud writ large, today because multi-cloud is actually happening in the vast majority of companies have things in multiple places, people make—are making also the decision of, “What is going to be my strategic data provider?” And I don't mean data in the sense of the actual data and meta-data and the like, but my data cloud.Corey: Mm-hmm.Brian: How do I choose my data cloud specifically? And there's been this amazing profusion of new data companies that do better ETL or ELT, better data cleaning, better packaging for AI, new techniques for scaling up/scaling down at cost. A lot of really interesting stuff happening in the dataspace. But it's also created almost more silos. And so, the most important announcement that we made probably didn't seem like a really big announcement to a lot of people, but it really was about how we're connecting together more of our data cloud with BigQuery, with unstructured and structured data support, with support for data lakes, including new formats, including Iceberg and Delta and Hudi to come how—Looker is increasingly working with BigQuery in order to make it, so that if you put data into Google Cloud, you not only have these super first-class services that you can use, ranging from databases like Spanner to BigQuery to Looker to AI services, like Vertex AI, but it's also now supporting all these different formats so you can bring third-party applications into that one place. And so, at the big cloud events, it's a new service that is the biggest deal. For us, the biggest deal is how this data cloud is coming together in an open way to let you use the tool that you want to use, whether it's from Google or a third party, all by betting on Google's data cloud.Corey: I'm really impressed by how Google is rather clearly thinking about this from the perspective of the data has to be accessible by a bunch of different things, even though it may take wildly different forms. It is making the data more fluid in that it can go to where the customer needs it to be rather than expecting the customer to come to it where it lives. That, I think, is a trend that we have not seen before in this iteration of the tech industry.Brian: I think you got that—you picked that up very well. And to some degree, if you step back and look at it, it maybe shouldn't be that surprising that Google is adept at that. When you think of what Google search is, how YouTube is essentially another search engine producing videos that deliver on what you're asking for, how information is used with Google Maps, with Google Lens, how it is all about taking information and making it as universally accessible and helpful as possible. And if we can do that for the internet's information, why can't we help businesses do it for their business information? And that's a lot of where Google certainly has a unique approach with Google Cloud.Corey: I really want to thank you for being so generous with your time. If people want to learn more about what you're up to, where's the best place for them to find you?Brian: cloud.google.com for Google Cloud information of course. And if it's still running when this podcast goes, @isforat, I-S-F-O-R-A-T, on Twitter.Corey: And we will put links to both of those in the show notes. Thank you so much for you time. I appreciate it.Brian: Thank you, Corey. It's been good talking with you.Corey: Brian Hall, VP of Product Marketing at Google Cloud. I'm Cloud Economist Corey Quinn and this is Screaming in the Cloud. If you've enjoyed this podcast, please leave a five-star review on your podcast platform of choice. Whereas, if you've hated this podcast, please, leave a five-star review on your podcast platform of choice along with an insulting angry comment dictating that, “No. Large companies make ten-year-long commitments casually all the time.”Corey: If your AWS bill keeps rising and your blood pressure is doing the same, then you need The Duckbill Group. We help companies fix their AWS bill by making it smaller and less horrifying. The Duckbill Group works for you, not AWS. We tailor recommendations to your business and we get to the point. Visit duckbillgroup.com to get started.Announcer: This has been a HumblePod production. Stay humble.

Links: SOCRadar demonstrated a significant leak that spanned the world; it distills down to an Azure equivalent of an open S3 bucket. This security recap of 2022 Google Next and Microsoft Ignite is worth reading if you're doing things in that particular side of the ecosystem. IAM Access Analyzer findings now support Amazon SNS topics and five other AWS resource types to help you identify public and cross-account access  DNS Analysis Server is a tool that can be used to demonstrate vulnerabilities in your DNS configuration.  A very reasonable API Security Checklist of things to consider before releasing your API to the world.

On The Cloud Pod this week, Amazon EC2 Trn1 instances for high-performance model training are now available, 123 new things were announced at Google Cloud Next ‘22, Several new Azure capabilities were announced at Microsoft Ignite, and many new announcements were made at Oracle CloudWorld. Thank you to our sponsor, Foghorn Consulting, which provides top-notch cloud and DevOps engineers to the world's most innovative companies. Initiatives stalled because you're having trouble hiring? Foghorn can be burning down your DevOps and Cloud backlogs as soon as next week. Episode Highlights ⏰ Amazon EC2 Trn1 instances for high-performance model training are now available. ⏰ 123 new things were announced at Google Cloud Next ‘22. ⏰ Several new Azure capabilities were announced at Microsoft Ignite. ⏰ Many new announcements from Oracle CloudWorld. Top Quote

On The Cloud Pod this week, AWS announces an update to IAM role trust policy behavior, Easily Collect Vehicle Data and Send to the Cloud with new AWS IoT FleetWise, now generally available, Get a head start with no-cost learning challenges before Google Next ‘22. Thank you to our sponsor, Foghorn Consulting, which provides top notch cloud and DevOps engineers to the world's most innovative companies. Initiatives stalled because you're having trouble hiring? Foghorn can be burning down your DevOps and Cloud backlogs as soon as next week. Episode Highlights ⏰ AWS announces an update to IAM role trust policy behavior. ⏰ Easily Collect Vehicle Data and Send to the Cloud with new AWS IoT FleetWise, now generally available. ⏰ Get a head start with no-cost learning challenges before Google Next ‘22. General News:

Jeffrey Madoff is the Founder & CEO of Madoff Productions, a New York based creative production company. He has directed award winning commercials, documentaries and web content around the world. Madoff is an adjunct professor at Parsons, The New School of Design. He teaches a course he developed called “Creative Careers: Making a Living with Your Ideas”, where he interviews a wide range of entrepreneurs, artists, writers, and business leaders about their journey. Hachette Book Group published his book, “Creative Careers, Making a Living with Your Ideas”, which was an Amazon Best Seller. Madoff is a sought after speaker and consultant on how to create a brand, having produced the brand videos for Ralph Lauren, Victoria's Secret, The Harvard School for Public Health, The American Academy of Dramatic Arts and many others. He has been a keynote speaker at Wharton School, NYU Steinhardt, Princeton University, Google Next, and the New York City Economic Development Commission. Madoff works with investment banks and private equity such as Lazard, Raymond James and Mid-Ocean Partners to produce brand stories to position companies for sale, acquisition, and investment. He is on the Board of Advisors for Artolution, a global organization that is focused on developing local leaders in the arts to use collaborative art-making as a tool for communities to share their stories with the world. Artolution focuses on the long-term needs of crisis-affected communities. Madoff has written and is producing a play entitled “Personality: The Lloyd Price Musical”, about the life of Rock and Roll Hall of Fame legend Lloyd Price. It had its world premiere March 13, 2022 at People's Light Theater in Malvern, Pennsylvania. Madoff graduated with honors from the University of Wisconsin with degrees in philosophy & psychology. He was also on the wrestling team, which combined with his academic studies prepared him for a life in the film business.