Podcasts about IOT

We unleash a networking monitoring tool to spot new devices, track changes in real time, and fire alerts straight into Home Assistant, MQTT, and your phone.Sponsored By:Managed Nebula: Meet Managed Nebula from Defined Networking. A decentralized VPN built on the open-source Nebula platform that we love. CrowdHealth: Discover a Better Way to Pay for Healthcare with Crowdfunded Memberships. Join CrowdHealth to get started today for $99 for your first three months using UNPLUGGED. Support LINUX UnpluggedLinks:

If you like what you hear, please subscribe, leave us a review and tell a friend!

Kyle Okamoto is the Chief Technology Officer at Aethir: the leading decentralized enterprise-grade cloud computing network. With over 20 years of experience in cloud and edge computing, digital media, IoT and AI, Kyle's leadership has been pivotal in scaling growth businesses and driving technological innovation at Aethir.Before joining Aethir, Kyle served as the General Manager of Aeris Communications and Ericsson's enterprise businesses, overseeing Internet of Things, Security, and Connected Vehicle portfolio companies. He was also the Chief Executive Officer of Edge Gravity, a global edge cloud platform facilitating cloud gaming, AI, and media and entertainment applications. Kyle's extensive experience also includes his tenure as Chief Network Officer of Verizon Media and his role as a founding member of Verizon Digital Media Services, which grew to a multi-billion dollar business before its acquisition by Private Equity.In addition to his work with Aethir, Kyle is an early investor and advisor to Theta Labs, holds board positions in various technology companies and non-profit organizations, and is an active angel investor and advisor in the venture capital and private equity spaces. Kyle holds a Master of Business Administration from New York University and a Bachelor of Engineering degree from Stevens Institute of Technology.In this conversation, we discuss:- AI's growth is now gated by access to compute rather than model quality - Compute is becoming a financial asset class - AI demand continues to outpace supply - GPUs - Investors are starting to treat compute like infrastructure, not software - Financial structures are becoming essential to scaling AI infrastructure - Decentralized compute offers an alternative path during the global GPU shortage- Enterprises are moving toward multi-source compute strategies - Financing compute - The financing of compute is as important as the tech side AethirX: @AethirCloudWebsite: www.aethir.comLinkedIn: AethirKyle OkamotoLinkedIn: Kyle Okamoto---------------------------------------------------------------------------------This episode is brought to you by PrimeXBT.PrimeXBT offers a robust trading system for both beginners and professional traders that demand highly reliable market data and performance. Traders of all experience levels can easily design and customize layouts and widgets to best fit their trading style. PrimeXBT is always offering innovative products and professional trading conditions to all customers.  PrimeXBT is running an exclusive promotion for listeners of the podcast. After making your first deposit, 50% of that first deposit will be credited to your account as a bonus that can be used as additional collateral to open positions. Code: CRYPTONEWS50 This promotion is available for a month after activation. Click the link below: PrimeXBT x CRYPTONEWS50FollowApple PodcastsSpotifyAmazon MusicRSS FeedSee All

Satellite IoT refers to the integration of satellite networks with Internet of Things (IoT) devices to enable connectivity and data exchange in remote and challenging environments. This allows IoT devices, like sensors and trackers, to communicate directly with satellites, bypassing terrestrial infrastructure. We spoke to Ian Itz, Executive Director of Global IoT Line of Business at Iridium about the service they offer. You can connect with Ian on LinkedIn, and learn more about Iridium on their website. Remember to leave us a 5-star rating and review in your favorite podcast app. Be sure to follow T-Minus on LinkedIn and Instagram. Want to hear your company in the show? You too can reach the most influential leaders and operators in the industry. Here's our media kit. Contact us at space@n2k.com to request more info. Want to join us for an interview? Please send your pitch to space-editor@n2k.com and include your name, affiliation, and topic proposal. T-Minus is a production of N2K Networks, your source for strategic workforce intelligence. © N2K Networks, Inc. Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode I talk with Mike Bowers, Chief Architect at Faircom, about ISAM—the bare-metal database layer that predates SQL and powers stock trading systems. We cover Faircom's pivot into industrial IoT, their JSON/SQL hybrid approach, and discuss AI, consciousness, and the symbol grounding problem.Links:FairComNonsense Monthly

Manvir Sandhu is the Founder and Chief Innovation Officer at Zennify, a Salesforce consulting firm that helps financial services organizations drive digital transformation across platforms like Salesforce, Databricks, and AI. Under his leadership, Zennify has become a trusted advisor to CIOs and C-suite executives, earned Platinum-level Salesforce partner status and scaled to over 150 employees, serving clients ranging from regional banks to large enterprises.  Known for leading innovative initiatives, Manvir helped spearhead a vaccine supply chain solution in Haiti with UNICEF and the Clinton Foundation, which was presented at Salesforce Dreamforce. He brings a strong focus on AI, agile transformation, and change management to regulated industries. In this episode… Digital transformation is reshaping entire industries, yet organizations in highly regulated sectors often struggle to choose the right tools and execute change effectively. As AI, data platforms, and compliance requirements evolve at breakneck speed, innovation can stall under the weight of risk and resistance. How are today's leaders pushing past these barriers to create secure, lasting transformation? For Manvir Sandhu, a digital transformation and AI innovation leader, lasting impact comes from pairing deep industry understanding with a practical, iterative mindset. He traces this philosophy back to his early work in healthcare, where his team reimagined post-disaster vaccine management in Haiti by combining Salesforce and IoT to enable real-time tracking and alerts — an approach that later became a model for broader adoption. Building on those lessons, Manvir pivoted to financial services, using focused proof-of-concept projects to earn trust, modernize legacy systems, and deliver a true 360-degree customer view. His experience demonstrates how thoughtfully applied AI can move far beyond basic automation to drive meaningful operational and customer impact. In this episode of the Inspired Insider Podcast, Dr. Jeremy Weisz sits down with Manvir Sandhu, Founder and Chief Innovation Officer of Zennify, to explore data-driven transformation in highly regulated industries. They discuss proof-of-concept strategies, agile change management, and practical AI use cases across healthcare and financial services. Manvir also shares insights on empowering early adopters, navigating growth, and maintaining culture through leadership transitions.

SummaryIn this episode of the Blue Security Podcast, hosts Andy and Adam discuss key cybersecurity predictions for 2026, focusing on the rise of agentic AI, quantum computing threats, deepfakes, the expanding attack surface due to IoT, the evolution of cybercrime into corporate structures, and the necessity for cybersecurity to be viewed as a strategic business pillar. They emphasize the importance of data security and the need for organizations to adapt to these emerging threats while fostering a culture of security awareness.----------------------------------------------------YouTube Video Link: https://youtu.be/CGCFayOx3z0----------------------------------------------------Documentation:https://www.forbes.com/sites/chuckbrooks/2025/11/10/cybersecurity-2026-6-forecasts-and-a-blueprint-for-the-year-ahead/----------------------------------------------------Contact Us:Website: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://bluesecuritypod.comBluesky: https://bsky.app/profile/bluesecuritypod.comLinkedIn: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/company/bluesecpodYouTube: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/c/BlueSecurityPodcast-----------------------------------------------------------Andy JawBluesky: https://bsky.app/profile/ajawzero.comLinkedIn: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/andyjaw/Email: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠andy@bluesecuritypod.com⁠----------------------------------------------------Adam BrewerTwitter: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/ajbrewerLinkedIn: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/adamjbrewer/Email: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠adam@bluesecuritypod.com

Dan Herscovici Dan Herscovici, CEO of Plume, joined Doug Green, Publisher of Technology Reseller News, to discuss why contextual intelligence—not raw speed—is becoming the next competitive frontier for internet service providers. As broadband markets grow more competitive and switching costs continue to fall, Herscovici explained that competing solely on price and bandwidth turns connectivity into a commodity and fails to reflect how consumers actually experience the internet inside their homes. Plume's platform applies contextual intelligence to understand what is happening inside each household in real time—device types, interference, usage patterns, and application needs—and dynamically optimizes the network accordingly. “Most ISPs are already delivering far more speed than consumers actually need at any moment in time,” Herscovici said. “What really matters is understanding context and optimizing the network for what's happening in that household right now.” This approach enables latency-sensitive applications like video conferencing to perform better, improves reliability for IoT devices, and allows networks to proactively address issues before subscribers notice degradation. The conversation also explored Wi-Fi 7 and next-generation standards, with Herscovici noting that higher peak speeds alone do not solve most real-world connectivity challenges. With the majority of devices still operating on Wi-Fi 5 and Wi-Fi 6, ISPs must manage complex, mixed-device environments where intelligence, orchestration, and proactive optimization matter more than headline performance metrics. Ultimately, Plume's strategy centers on building subscriber confidence—delivering consistent, secure, and intuitive experiences across onboarding, daily usage, device additions, and support interactions. “When subscribers trust that their ISP will deliver a great experience—and fix things quickly when something goes wrong—they churn less and stay loyal, even if another provider is slightly cheaper,” Herscovici said. By enabling proactive, AI-driven network management and smarter customer engagement, Plume helps ISPs move beyond commodity connectivity toward lasting differentiation. Learn more at https://www.plume.com/. Software Mind Telco Days 2025: On-demand online conference Engaging Customers, Harnessing Data

Welcome back to the Ultimate Guide to Partnering® Podcast. AI agents are your next customers. Subscribe to our Newsletter: https://theultimatepartner.com/ebook-subscribe/ Check Out UPX:https://theultimatepartner.com/experience/ https://youtu.be/vEdq8rpBM3I In this data-rich keynote, Jay McBain deconstructs the tectonic shifts reshaping the $5.3 trillion global technology industry, arguing that we are entering a new 20-year cycle where traditional direct sales models are obsolete. McBain explains why 96% of the industry is now surrounded by partners and how successful companies must pivot from “flywheels and theory” to a granular strategy focused on the seven specific partners present in every deal. From the explosion of agentic AI and the $163 billion marketplace revolution to the specific mechanics of multiplier economics, this discussion provides a roadmap for navigating the “decade of the ecosystem” where influence, trust, and integration—not just product—determine winners and losers. Key Takeaways Half of today's Fortune 500 companies will likely vanish in the next 20 years due to the shift toward AI and ecosystem-led models. Every B2B deal now involves an average of seven trusted partners who influence the decision before a vendor even knows a deal exists. Microsoft has outpaced AWS growth for 26 consecutive quarters largely because of a superior partner-led geographic strategy. Marketplaces are projected to grow to $163 billion by 2030, with nearly 60% of deals involving partner funding or private offers. The “Multiplier Effect” is the new ROI, where partners can make up to $8.45 for every dollar of vendor product sold. Future dominance relies on five key pillars: Platform, Service Partnerships, Channel Partnerships, Alliances, and Go-to-Market orchestration. If you're ready to lead through change, elevate your business, and achieve extraordinary outcomes through the power of partnership—this is your community. At Ultimate Partner® we want leaders like you to join us in the Ultimate Partner Experience – where transformation begins. Keywords: Jay McBain, Canalys, partner ecosystem, channel chief, agentic AI, marketplace growth, multiplier economics, B2B sales trends, tech industry forecast, service partnerships, strategic alliances, Microsoft vs AWS, distribution transformation, managed services growth, SaaS platforms, customer journey mapping, 28 moments of truth, future of reselling, technology spending 2025, ecosystem orchestration, partner multipliers. T Transcript: Jay McBain WORKFILE FOR TRANSCRIPT [00:00:00] Vince Menzione: Just up from, did you Puerto Rico last night? Puerto Rico, yes. Puerto Rico. He dodged the hurricane. Um, you all know him. Uh, let him introduce himself for those of you who don’t, but just thrilled to have on the stage, again, somebody who knows more about what’s going on in, in the, and has the pulse on this industry probably than just about anybody I know personally. [00:00:21] Vince Menzione: J Jay McBain. Jay, great to see you my friend. Alright, thank you. We have to come all the way. We live, we live uh, about 20 minutes from each other. We have to come all the way to Reston, Virginia to see each other, right? That’s right. Very good. Well, uh, that’s all over to you, sir. Thank you. [00:00:35] Jay McBain: Alright, well thank you so much. [00:00:36] Jay McBain: I went from 85 degrees yesterday to 45 today, but I was able to dodge that, uh, that hurricane, uh, that we kind of had to fly through the northern edge of, uh, wanna talk today about our industry, about the ultimate partner. I’m gonna try to frame up the ultimate partner as I walk through the data and the latest research that, uh, that we’ve been doing in the market. [00:00:56] Jay McBain: But I wanted to start here ’cause our industry moves in 20 year cycles, and if you look at the Fortune 500 and dial back 20 years from today, 52% of them no longer exist. As we step into the next 20 year AI era, half of the companies that we know and love today are not gonna exist. So we look at this, and by the way, if you’re not in the Fortune 500 and you don’t have deep pockets to buy your way outta problems, 71% of tech companies fail over the course of 10 years. [00:01:30] Jay McBain: Those are statistics from the US government. So I start to look at our industry and you know, you may look at the, you know, mainframe era from the sixties and seventies, mini computers, August the 12th, 1981, that first IBM, PC with Microsoft dos, version one, you know, triggered. A new 20 year era of client server. [00:01:51] Jay McBain: It was the time and I worked at IBM for 17 years, but there was a time where Bill Gates flew into Boca Raton, Florida and met with the IBM team and did that, you know, fancy licensing agreement. But after, you know, 20 years of being the most valuable company in the world and 13 years of antitrust and getting broken up, almost like at and TIBM almost didn’t make payroll. [00:02:14] Jay McBain: 13 years after meeting Bill Gates. Yeah, that’s how quickly things change in these eras. In 1999, a small company outta San Francisco called salesforce.com got its start. About 10 years later, Jeff Bezos asked a question in a boardroom, could we rent out our excess capacity and would other companies buy it? [00:02:35] Jay McBain: Which, you know, most people in the room laughed at ’em at the time. But it created a 20 year cloud era when our friends, our neighbors, our family. Saw Chachi PT for the first time in March of 2023. They saw the deep fakes, they saw the poetry, they saw the music. They came to us as tech people and said, did we just light up Skynet? [00:02:58] Jay McBain: And that consumer trend has triggered this next 20 years. I could walk through the richest people in the world through those trends. I could walk through the most valuable companies. It all aligns. ’cause by the way, Apple’s no longer at the top. Nvidia is at the top, Microsoft. Second, things change really quickly. [00:03:17] Jay McBain: So in that course of time, you start to look at our industry and as people are talking about a six and a half or $7 trillion build out of ai, that’s open AI and Microsoft numbers, that is bigger than our industry that’s taken over 50 years to build. This year, we’re gonna finish the year at $5.3 trillion. [00:03:36] Jay McBain: That’s from the smallest flower shop to the biggest bank. Biggest governments that Caresoft would, uh, serve biggest customer in the world is actually the federal government of the us. But you look at this pie chart and you look at the changes that we’re gonna go through over the next 20 years, there’s about a trillion dollars in hardware. [00:03:54] Jay McBain: There’s about a trillion dollars in software. If you look forward through all of the merging trends, quantum computing, humanoid robots, all the things that are coming that dollar to dollar software to hardware will continue to exist all the way through. We see services making up almost two thirds of this pie. [00:04:13] Jay McBain: Yesterday I was in a telco conference with at and t and Verizon and T-Mobile and some of the biggest wireless players and IT services, which happen to be growing faster than products. At the moment, there is more work to be done wrapping around the deal than the actual products that the customer is buying. [00:04:32] Jay McBain: So in an industry that’s growing at 7%. On top of the world economy that’s grown at 2.2. This is the fastest growing industry, and it will be at least for the next 10 years, if not 2070 0.1% of this entire $5 trillion gets transacted through partners. While what we’re talking to today about the ultimate partner, 96% of this industry is surrounded by partners in one way or another. [00:05:01] Jay McBain: They’re there before the deal. They’re there at the deal. They’re there after the deal. Two thirds of our industry is now subscription consumption based. So every 30 days forever, and a customer for life becomes everything. So if every deal in medium, mid-market, and higher has seven partners, according to McKinsey, who are those seven people trying to get into the deal? [00:05:25] Jay McBain: While there’s millions of companies that have come into tech over the last 10 to 20 years. Digital agencies, accountants, legal firms, everybody’s come in. The 250,000 SaaS companies, a million emerging tech companies, there’s a big fight to be one of those seven trusted people at the table. So millions of companies and tens of millions of people our competing for these slots. [00:05:49] Jay McBain: So one of the pieces of research I’m most proud of, uh, in my analyst career is this. And this took over two years to build. It’s a lot of logos. Not this PowerPoint slide, but the actual data. Thousands of people hours. Because guess what? When you look at partners from the top down, the top 1000 partners, by capability and capacity, not by resale. [00:06:15] Jay McBain: It’s not a ranking of CDW and insight and resale numbers. It is the surrounding. Consulting, design, architecture, implementations, integrations, managed services, all the pieces that’s gonna make the next 20 years run. So when you start to look at this, 98% of these companies are private, so very difficult to get to those numbers and, uh, a ton of research and help from AI and other things to get this. [00:06:41] Jay McBain: But this is it. And if you look at this list, there’s a thousand logos out of the million companies. There’s a thousand logos that drive two thirds of all tech services in the world. $1.07 trillion gets delivered by a thousand companies, but here’s where it gets fun. Those companies in the middle, in blue, the 30 of them deliver more tech services than the next 970. [00:07:08] Jay McBain: Combined the 970 combined in white deliver more tech services. Then the next million combined. So if you think we live in an 80 20 rule or maybe a 99, a 95 5 rule, or a 99 1 rule, we actually live in a 99.9 0.1 parallel principle. These companies spread around the world evenly split across the uh, different regions. [00:07:35] Jay McBain: South Africa, Latin America, they’re all over. They split. They split among types. All of the Venn diagram I just showed from GSIs to VARs to MSPs, to agencies and other types of companies. But this is a really rich list and it’s public. So every company in the world now, if you’re looking at Transactable data, if you’re looking at quantifiable data that you can go put your revenue numbers against, it represents 70 to 80% of every company in this room’s Tam. [00:08:08] Jay McBain: In one piece of research. So what do you do below that? How do you cover a million companies that you can’t afford to put a channel account manager? You can’t afford to write programs directly for well after the top down analysis and all the wallet share and you know exactly where the lowest hanging fruit is for most of your tam. [00:08:28] Jay McBain: The available markets. The obtainable markets. You gotta start from the community level grassroots up. So you need to ask the question for the million companies and the maybe a hundred thousand companies out there, partner companies that are surrounding your customer. These are the seven partners that surround your customer. [00:08:48] Jay McBain: What do they read, where do they go, and who do they follow? Interestingly enough, our industry globally equates to only a thousand watering holes, a thousand companies at the top, a thousand places at the bottom. 35% of this audience we’re talking. Millions of people here love events and there’s 352 of them like this one that they love to go to. [00:09:13] Jay McBain: They love the hallway chats, they love the hotel lobby bar, you know, in a time reminded by the pandemic. They love to be in person. It’s the number one way they’re influenced. So if you don’t have a solid event strategy and you don’t have a community team out giving out socks every week, your competitors might beat you. [00:09:31] Jay McBain: 12% of this audience loves podcasts. It’s the Joe Rogan effect of our industry. And while you know, you may not think the 121 podcasts out there are important, well, you’re missing 12% of your audience. It’s over a million people. If you’re not on a weekly podcast in one of these podcasts in the world, there’s still people that read one of the 106 magazines in the world. [00:09:55] Jay McBain: There are people that love peer groups, associations, they wanna be part of this. There’s 15 different ways people are influenced. And a solid grassroots strategy is how you make this happen. In the last 10 years, we’ve created a number of billionaires. Bottom up. They never had to go talk to la large enterprise. [00:10:15] Jay McBain: They never had to go build out a mid-market strategy. They just went and give away socks and new community marketing. And this has created, I could rip through a bunch of names that became unicorns just in the last couple of years, bottoms up. You go back to your board walking into next year, top down, bottom up. [00:10:34] Jay McBain: You’ve covered a hundred percent of your tam, and now you’ve covered it with names, faces, and places. You haven’t covered it with a flywheel or a theory. And for 44 years, we have gone to our board every fourth quarter with flywheels and theory. Trust me, partners are important. The channel is key to us. [00:10:57] Jay McBain: Well, let’s talk at the point of this granularity, and now we’re getting supported by technology 261 entrepreneurs. Many of them in the room actually here that are driving this ability to succeed with seven partners in every deal to exchange data to be able to exchange telemetry of these prospects to be able to see twice or three times in terms of pipeline of your target addressable market. [00:11:26] Jay McBain: All these ai, um, technologies, agentic technologies are coming into this. It’s all about data. It’s all about quantifiable names, faces, and places. Now none of us should be walking around with flywheels, so let’s flip the flywheels. No. Uh, so we also look at, and I sold PCs for 17 years and that was in the high times of 40% margins for partners. [00:11:55] Jay McBain: But one interesting thing when you study the p and l for broad base of partners around the world, it’s changed pretty significantly in this last 20 year era. What the cloud era did is dropped hardware from what used to be 84% plus the break fix and things that wrap around it of the p and l to now 16% of every partner in the world. [00:12:16] Jay McBain: 84% of their p and l is now software and services. And if you look at profitability, it’s worse. It’s actually 87% is profitability wise. They’ve completely shifted in terms of where they go. Now we look at other parts of our market. I could go through every part of the pie of the slide, but we’re watching each of the companies, and if you can see here, this is what we want to talk about in terms of ultimate partner. [00:12:43] Jay McBain: Microsoft has outgrown AWS for 26 straight quarters. They don’t have a better product. They don’t have a better price, they don’t have better promotion. It’s all place. And I’ll explain why you guess here in the light green line. Exactly. The day that Google went a hundred percent all in partner, every deal, even if a deal didn’t have a partner, one of the 4% of deals that didn’t have a partner, they injected a partner. [00:13:09] Jay McBain: You can see on the left side exactly where they did it. They got to the point of a hundred percent partner driven. Rebuilt their programs, rebuilt their marketplace. Their marketplace is actually larger than Microsoft’s, and they grew faster than Microsoft. A couple of those quarters. It is a partner driven future, and now I have Oracle, which I just walked by as I walked from the hotel. [00:13:31] Jay McBain: Oracle with their RPOs will start to join. Maybe the list of three hyperscalers becomes the list of four in future slides, but that’s a growth slide. Market share is different. AWS early and commanding lead. And it plays out, uh, plays out this way. But we’re at an interesting moment and I stood up six years ago talking about the decade of the ecosystem after we went through a decade of sales starting in 1999 when we all thought we were born to be salespeople. [00:14:02] Jay McBain: We managed territories with our gut. The sales tech stack would have it different, that sales was a science, and we ended the decade 2009, looking at sales very differently in 2009. I remember being at cocktail parties where CMOs would be joking around that 50% of their marketing dollars were wasted. They just didn’t know which 50%. [00:14:23] Jay McBain: And I’ll tell you, that was really funny. In 2009 till every 58-year-old CMO got replaced by a 38-year-old growth hacker who walked in with 15,348 SaaS companies in their MarTech and ad tech stack to solve the problem, every nickel of marketing by 2019 was tracked. Marketo, Eloqua, Pardot, HubSpot, driving this industry. [00:14:50] Jay McBain: Now, we stood up and said the 28 moments that come before a sale are pretty much all partner driven. In the best case scenario, a vendor might see four of the moments. They might come to your website, maybe they read an ebook, maybe they have a salesperson or a demo that comes in. That’s four outta 28 moments. [00:15:10] Jay McBain: The other 24 are done by partners. Yeah, in the worst case scenario and the majority scenario, you don’t see any of the moments. All 28 happen and you lose a deal without knowing there ever was a deal. So this is it. We need to partner in these moments and we need to inject partners into sales and marketing, like no time before, and this was the time to do it. [00:15:33] Jay McBain: And we got some feedback in the Salesforce state of sales report, which doesn’t involve any partnerships or, or. Channel Chiefs or anything else. This is 5,500 of the biggest CROs in the world that obviously use Salesforce. 89% of salespeople today use partners every day. For the 11% who don’t, 58% plan two within a year. [00:15:57] Jay McBain: If you add those two numbers together, that’s magically the 96% number. They recognize that every deal has partners in it. In 2024, last year, half of the salespeople in the world, every industry, every country. Miss their numbers. For the minority who made their numbers, 84 point percent pointed to partners as the reason why they made their numbers. [00:16:21] Jay McBain: It was the cheat code for sales, so that modern salesperson that knows how to orchestrate a deal, orchestrate the 28 moments with the seven partners and get to that final spot is the winning formula. HubSpot’s number in separate research was 84% in marketing. So we’re starting to see partners in here. We don’t have to shout from the mountaintops. [00:16:44] Jay McBain: These communities like ultimate Partner are working and we’re getting this to the highest levels in the board. And I’ll say that, you know, when 20 years from now half of the companies we know and love fail after we’re done writing the book and blaming the CEO for inventing the thing that ended up killing them, blaming the board for fiduciary responsibility and letting it happen. [00:17:06] Jay McBain: What are the other chapters of the book? And I think it’s all in one slide. We are in this platform economy and the. [00:17:31] Jay McBain: So your battery’s fine. Check, check, check, check. Alright, I’ll, I’ll just hold this in case, but the companies that execute on all five of these areas, well. Not only today become the trillion dollar valued companies, but they become the companies of tomorrow. These will be the fastest growing companies at every level. [00:17:50] Jay McBain: Not only running a platform business, but participating in other platforms. So this is how it breaks out, and there are people at very senior levels, at very big companies that have this now posted in the office of the CEO winning on integrations is everything. We just went through a demographic shift this year where 51% of our buyers are born after 1982. [00:18:15] Jay McBain: Millennials are the number one buyer of the $5 trillion. Their number one buying criteria is not service. Support your price, your brand reputation, it’s integrations. The buy a product, 80% is good as the next one if it works better in their environment. 79% of us won’t buy a car unless it has CarPlay or Android Auto. [00:18:34] Jay McBain: This is an integration world. The company with the most integrations win. Second, there are seven partners that surround the customer. Highly trusted partners. We’re talking, coaching the customer’s, kids soccer team, having a cottage together up at the lake. You know, best men, bate of honors at weddings type of relationships. [00:18:57] Jay McBain: You can’t maybe have all seven, but how does Microsoft beat AWS? They might have had two, three, or four of them saying nice things about them instead of the competition. Winning in service partnerships and channel partnerships changes by category. If you’re selling MarTech, only 10% of it today is resold, so you build more on service partnerships. [00:19:18] Jay McBain: If you’re in cybersecurity today, 91.6% of it is resold. Transacted through partners. So you build a lot of channel partnerships, plus the service partnerships, whatever the mix is in your category, you have to have two or three of those seven people. Saying nice things about you at every stage of the customer journey. [00:19:38] Jay McBain: Now move over to alliances. We have already built the platforms at the hyperscale level. We’ve built the platforms within SaaS, Salesforce, ServiceNow, Workday, Marketo, NetSuite, HubSpot. Every buyer has a set of platforms that they buy. We’ve now built them in cybersecurity this year out of 6,500 as high as cyber companies, the top five are starting to separate. [00:20:02] Jay McBain: We built it in distribution, which I’ll show in a minute. We’re building it in Telco. This is a platform economy and alliances win and you have alliances with your competitors ’cause you compete in the morning, but you’re best friends by the afternoon. Winning in other platforms is just as important as driving your own. [00:20:20] Jay McBain: And probably the most important part of this is go to market. That sales, that marketing, the 28 moments, the every 30 days forever become all a partner strategy. So there’s still CEOs out there that believe platform is a UI or UX on a bunch of disparate products and things you’ve acquired. There’s still CFOs out there that Think platform is a pricing model, a bundle model of just getting everything under one, you know, subscription price or consumption price. [00:20:51] Jay McBain: And it’s not, platforms are synonymous with partnerships. This is the way forward and there’s no conversation around ai. That doesn’t involve Nvidia over there, an open AI over here and a hyperscaler over there and a SaaS company over here. The seven layer stack wins every single time, and the companies that get this will be the ones that survive this cycle. [00:21:16] Jay McBain: Now, flipping over to marketplaces. So we had written research that, um, about five years ago that marketplaces were going to grow at 82% compounded. Yeah, probably one of the most accurate predictions we ever made, because it happened, we, we predicted that, uh, we were gonna get up to about $85 billion. Well, now we’ve extended that to 2030, so we’re gonna get up to $163 billion, and the thing that we’re watching is in green. [00:21:46] Jay McBain: If 96% of these deals are partner assisted in some way, how is the economics of partnering going to work? We predicted that 50% of deals by 2027. Would be partner funded in some way. Private offers multi-partner offers distributor sellers of record, and now that extends to 59% by 2030, the most senior leader of the biggest marketplace AWS, just said to us they’re gonna probably make these numbers on their own. [00:22:14] Jay McBain: And he asked what their two competitors are doing. So he’s telling us that we under called this. Now when you look at each of the press releases, and this is the AWS Billion Dollar Club. Every one of the companies on the left have issued a press release that they’re in the billion dollar club. Some of them are in the multi-billions, but I want you to double click on this press release. [00:22:35] Jay McBain: I’m quoted in here somewhere, but as CrowdStrike is building the marketplace at 91% compounded, they’re almost doubling their revenue every single year. They’re growing the partner funding, in this case, distributor funding by 3548%. Almost triple digit growth in marketplace is translating into almost quadruple digit growth in funding. [00:23:01] Jay McBain: And you see that over and over again as, as Splunk hit three, uh, billion dollars. The same. Salesforce hit $2 billion on AWS in Ulti, 18 months. They joined in October 20, 23, and 18 months later, they’re already at $2 billion. But now you’re seeing at Salesforce, which by the way. Grew up to $40 billion in revenue direct, almost not a nickel in resell. [00:23:28] Jay McBain: Made it really difficult for VARs and managed service providers to work with Salesforce because they couldn’t understand how to add services to something they didn’t book the revenue for. While $40 billion companies now seeing 70% of their deals come through partners. So this is just the world that we’re in. [00:23:44] Jay McBain: It doesn’t matter who you are and what industry you’re in, this takes place. But now we’re starting to see for the first time. Partners join the billion dollar club. So you wonder about partnering and all this funding and everything that’s working through Now you’re seeing press releases and companies that are redoing their LinkedIn branding about joining this illustrious club without a product to sell and all the services that wrap around it. [00:24:10] Jay McBain: So the opening session on Microsoft was interesting because there’s been a number of changes that Microsoft has done just in the last 30 days. One is they cut distribution by two thirds going from 180 distributors to 62. They cut out any small partner lower than a thousand dollars, and that doesn’t sound like a lot, but that’s over a hundred thousand partners that get deed tightening the long tail. [00:24:38] Jay McBain: They we’re the first to really put a global point system in place three years ago. They went to the new commerce experience. If you remember, all kinds of changes being led by. The biggest company for the channel. And so when we’re studying marketplaces, we’re not just studying the three hyperscalers, we’re studying what TD Cynic is doing with Stream One Ingram’s doing with Advant Advantage Aerosphere. [00:25:01] Jay McBain: Also, we’re watching what PAX eight, who by the way, is the 365 bestseller for Microsoft in the world. They are the cybersecurity leader for Microsoft in the world and the copilot. Leader in the world for Microsoft and Partner of the Year for Microsoft. So we’re watching what the cloud platforms are doing, watching what the Telco are doing, which is 25 cents out of every dollar, if you remember that pie chart, watching what the biggest resellers are converting themselves into. [00:25:30] Jay McBain: Vince just mentioned, you know, SHI in the changes there watching the managed services market and the leaders there, what they’re doing in terms of how this industry’s moving forward. By the way, managed services at $608 billion this year. Is one and a half times larger than the SaaS industry overall. [00:25:48] Jay McBain: It’s also one and a half times larger than all the hyperscalers combined. Oracle, Alibaba, IBM, all the way down. This is a massive market and it makes up 15 to 20 cents of every dollar the customer spend. We’re watching that industry hit a trillion dollars by the end of the decade, and we’re watching 150 different marketplace development platforms, the distribution of our industry, which today is 70.1% indirect. [00:26:13] Jay McBain: We’re starting to see that number, uh, solidify in terms of marketplaces as well. Watching distributors go from that linear warehouse in a bank to this orchestration model, watching some of the biggest players as the world comes around, platforms, it tightens around the place. So Caresoft, uh, from from here is the sixth biggest distributor in the world. [00:26:40] Jay McBain: Just shows you how big the. You know, biggest client in the world is that they serve. But understand that we’re publishing the distributor 500 list, but it’ll be the same thing. That little group in blue in the middle today, you know, drives almost two thirds of the market. So what happens in all this next stage in terms of where the dollars change hands. [00:27:07] Jay McBain: And the economics of partnering themselves are going through the most radical shift that we’ve seen ever. So back to the nineties, and, and for those of you that have been channel chiefs and running programs, we went to work every day. You know, everything’s on fire. We’re trying to check hundred boxes, trying to make our program 10% better than our competitors. [00:27:30] Jay McBain: Hey, we gotta fix our deal registration program today, and our incentives are outta whack or training programs or. You know, not where they need to be. Our certification, you know, this was the life of, uh, of a channel chief. Everybody thought we were just out drinking in the Caribbean with our best partners, but we were under the weight of this. [00:27:49] Jay McBain: But something interesting has happened is that we turned around and put the customer at the middle of our programs to say that those 28 moments in green before the sale are really, really important. And the seven partners who participate are really important. Understanding. The customer’s gonna buy a seven layer stack. [00:28:09] Jay McBain: They’re gonna buy it With these seven partners, the procurement stage is much different. The growth of marketplaces, the growth of direct in some of these areas, and then long term every 30 days forever in a managed service, implementations, integrations, how you upsell, cross-sell, enrich a deal changes. So how would you build a program that’s wrapped around the customer instead of the vendor? [00:28:35] Jay McBain: And we’re starting to hear our partners shout back to us. These are global surveys, big numbers, but over half of our partners, regardless of type, are selling consulting to their customer. Over half are designing architecting deals. A third of them are trying to be system integrators showing up at those implementation integration moments. [00:28:55] Jay McBain: Two thirds of them are doing managed services, but the shocking one here is 44% of our partners, regardless of type, are coding. They’re building agents and they’re out helping their customer at that level. So this is the modern partner that says, don’t typecast me. You may have thought of me in your program. [00:29:14] Jay McBain: You might have me slotted as a var. Well, I do 3.2 things, and if I don’t get access to those resources, if you don’t walk me to that room, I’m not gonna do them with you. You may have me as a managed service provider that’s only in the morning. By the afternoon I’m coding, and by the next morning I’m implementing and consulting. [00:29:33] Jay McBain: So again, a partner’s not a partner. That Venn diagram is a very loose one now, as every partner on there is doing 3.2 different business models. And again, they’re telling us for 43 years, they said, I want more leads this year it changed. For the first time, I want to be recognized and incentivized as more than just a cash register for you. [00:29:57] Jay McBain: I want you to recognize when I’m consulting, when I’m designing, when you’re winning deals, because of my wonderful services, by the way, we asked the follow up question, well, where should we spend our money with you? And they overwhelmingly say, in the consulting stage, you win and lose deals. Not at moment 28. [00:30:18] Jay McBain: We’re not buying a pack of gum at the gas station. This is a considered purchase. You win deals from moment 12 through 16 and I’m gonna show you a picture of that later, and they say, you better be spending your money there, or you’re not gonna win your fair share or more than your fair share of deals. [00:30:36] Jay McBain: The shocking thing about this is that Microsoft, when they went to the point system, lifted two thirds of all the money, tens of billions of dollars, and put it post-sale, and we were all scratching our heads going. Well, if the partners are asking for it there, and it seems like to beat your biggest competitors, you want to win there. [00:30:54] Jay McBain: Why would you spend the money on renewal? Well, they went to Wall Street and Goldman Sachs and the people who lift trillions of dollars of pension funds and said, if we renew deals at 108%, we become a cash machine for you. And we think that’s more valuable than a company coming out with a new cell phone in September and selling a lot of them by Christmas every year. [00:31:18] Jay McBain: The industry. And by the way, wall Street responded, Microsoft has been more valuable than Apple since. So we talk in this now multiplier language, and these are reports that we write, uh, at AMIA at canals. But talking about the partner opportunity in that customer cycle, the $6 and 40 cents you can make for every dollar of consumption, or the $7 and 5 cents you can make the $8 and 45 cents you can make. [00:31:46] Jay McBain: There’s over 24 companies speaking at this level now, and guess what? It’s not just cloud or software companies. Hardware companies are starting to speak in this language, and on January 25th, Cisco, you know, probably second to Microsoft in terms of trust built with the channel globally is moving to a full point system. [00:32:09] Jay McBain: So these are the changes that happen fast. But your QBR with your partners now less about drinking beers at the hotel lobby bar and talking dollar by dollar where these opportunities are. So if you’re doing 3.2 of these things, let’s build out a, uh, a play where you can make $3 for every dollar that we make. [00:32:28] Jay McBain: And you make that profitably. You make it in sticky, highly retained business, and that’s the model. ’cause if you make $3 for every dollar. We make, you’re gonna win Partner of the year, and if you win partner of the year, that piece of glass that you win on stage, by the time you get back to your table, you’re gonna have three offers to buy your business. [00:32:51] Jay McBain: CDW just bought a w. S’s Partner of the Year. Insight bought Google’s eight time partner of the year. Presidio bought ServiceNow’s, partner of the year over and over and over again. So I’m at Octane, I’m at CrowdStrike, I’m at all these events in Vegas every week. I’m watching these partners of the year. [00:33:05] Jay McBain: And I’m watching as the big resellers. I’m watching as the GSIs and the m and a folks are surrounding their table after, and they’re selling their businesses for SaaS level valuations. Not the one-to-one service valuation. They’re getting multiples because this is the new future of our industry. This is platform economics. [00:33:25] Jay McBain: This is winning and platforms for partners. Now, like Vince, I spent 20 minutes without talking about ai, but we have to talk about ai. So the next 20 years as it plays out is gonna play out in phases. And the first thing you know to get it out of the way. The first two years since that March of 23, has been underwhelming, to say the least. [00:33:47] Jay McBain: It’s been disappointing. All the companies that should have won the biggest in AI have been the most disappointing. It’s underperformed the s and p by a considerable amount in terms of where we are. And it goes back to this. We always overestimate the first two years, but we underestimate the first 10. [00:34:07] Jay McBain: If you wanna be the point in time person and go look at that 1983 PC or the 1995 internet or that 2007 iPhone or that whatever point in time you wanna look at, or if you want to talk about hallucinations or where chat chip ET version five is version, as opposed to where it’s going to be as it improves every six months here on in. [00:34:30] Jay McBain: But the fact of the matter is, it’s been a consumer trend. Nvidia got to be the most valuable company in the world. OpenAI was the first company to 2 billion users, uh, in that amount of speed. It’s the fastest growing product ever in history, and it’s been a consumer win this trillions of dollars to get it thrown around in the press releases. [00:34:49] Jay McBain: They’re going out every day, you know, open ai, signing up somebody new or Nvidia, investing in somebody new almost every single day in hundreds of billions of dollars. It is all happening really on the consumer side. So we got a little bit worried and said, is that 96% of surround gonna work in ag agentic ai? [00:35:10] Jay McBain: So we went and asked, and the good news is 88% of end customers are using partners to work through their ag agentic strategy. Even though they’re moving slow, they’re actually using partners. But what’s interesting from a partner perspective, and this is new research that out till 2030. This is the number one services opportunity in the entire tech or telco industry. [00:35:34] Jay McBain: 35.3% compounded growth ending at $267 billion in services. Companies are rebuilding themselves, building out practices, and getting on this train and figuring out which vendors they should hook their caboose to as those trains leave the station. But it kind of plays out like this. So in the next three to five years, we’re in this generative, moving into agentic phase. [00:36:01] Jay McBain: Every partner thinks internally first, the sales and marketing. They’re thinking about their invoicing and billing. They’re thinking about their service tickets. They’re thinking about creating a business that’s 10% better than their competitors, taking that knowledge into their customers and drive in business. [00:36:17] Jay McBain: But we understand that ag agentic AI, as it’s going to play out is not a product. A couple of years ago, we thought maybe a copilot or an agent force or something was going to be the product that everybody needed to buy, and it’s not a product, it’s gonna show up as a feature. So you go back in the history of feature ads and it’s gonna show up in software. [00:36:38] Jay McBain: So if you’re calling in SMB, maybe you’re calling on a restaurant. The restaurant isn’t gonna call OpenAI or call Microsoft or call Nvidia directly. They’re running their restaurant. And they may have chosen a platform like Toast Square, Clover, whatever iPads people are running around with, runs on a platform that does everything in their business, does staffing, does food ordering, works with Uber Eats, does everything end to end? [00:37:08] Jay McBain: They’re gonna wait to one of those platforms, dries out agent AI for them, and can run the restaurant more effectively, less human capital and more consistently, but they wait for the SaaS platform as you get larger. A hundred, 150 people. You have vice presidents. Each of those vice presidents already have a SaaS stack. [00:37:28] Jay McBain: I talked about Salesforce, ServiceNow, Workday, et cetera. They’ve already built that seven layer model and in some cases it’s 70 layers. But the fact is, is they’re gonna wait for those SaaS layers to deliver ag agentic to them. So this is how it’s gonna play out for the next three and a half, three to five years. [00:37:45] Jay McBain: And partners are realizing that many of them were slow to pick up SaaS ’cause they didn’t resell it. Well now to win in this next three to half, three to five years, you’re gonna have to play in this environment. When you start looking out from here, the next generation, you know, kind of five through 15 years gets interesting in more of a physical sense. [00:38:06] Jay McBain: Where I was yesterday talking about every IOT device that now is internet access, starts to get access to large language models. Every little sensor, every camera, everything that’s out there starts to get smart. But there’s a point. The first trillionaire, I believe, will be created here. Elon’s already halfway there. [00:38:24] Jay McBain: Um, but when Bill Gates thought there was gonna be a PC in every home, and IBM thought they were gonna sell 10,000 to hobbyists, that created the richest person in the world for 20 years, there will be a humanoid in every home. There’s gonna be a point in time that you’re out having drinks with your friends, and somebody’s gonna say, the early adopter of your friends is gonna say. [00:38:46] Jay McBain: I haven’t done the dishes in six weeks. I haven’t done the laundry. I haven’t made my bed. I haven’t mowed the lawn. When they say that, you’re gonna say, well, how? And they’re gonna say, well, this year I didn’t buy a new car, but I went to the car dealership and I bought this. So we’re very close to the dexterity needed. [00:39:05] Jay McBain: We’ve got the large language models. Now. The chat, GPT version 10 by then is going to make an insane, and every house is gonna have one of the. [00:39:17] Jay McBain: This is the promise of ai. It’s not humanoid robots, it’s not agents. It’s this. 99% of the world’s business data has not been trained or tuned into models yet. Again, this is the slow moving business. If you want to think about the 99% of business data, every flight we’ve all taken in this room sits on a saber system that was put in place in 1964. [00:39:43] Jay McBain: Every banking transaction, we’ve all made, every withdrawal, every deposit sits on an IBM mainframe put in place in the sixties or seventies. 83% of this data sits in cold storage at the edge. It’s not ready to be moved. It’s not cleansed, it’s not, um, indexed. It’s not in any format or sitting on any infrastructure that a large language model will be able to gobble up the data. [00:40:10] Jay McBain: None of the workflows, none of the programming on top of that data is yet ready. So this is your 10 to 20 year arc of this era that chat bot today when they cancel your flight is cute. It’s empathetic, it feels bad for you, or at least it seems to, but it can’t do anything. It can’t book you the Marriott and get you an Uber and then a 5:00 AM flight the next morning. [00:40:34] Jay McBain: It can’t do any of that. But more importantly, it doesn’t know who you are. I’ve got 53 years of flights under my belt and they, I’m the person that get me within six hours of my kids and get me a one-way Hertz rental. You know, if there’s bad weather in Miami, get me to Tampa, get me a Hertz, I’m driving home, I’m gonna make it home. [00:40:56] Jay McBain: I’m not the 5:00 AM get me a hotel person. They would know that if they picked up the flights that I’ve taken in the past. Each of us are different. When you get access to the business data and you become ag agentic, everything changes. Every industry changes because of this around the customers. When you ask about this 35% growth, working on that data, working in traditional consulting and design and implementation, working in the $7 trillion of infrastructure, storage, compute, networking, that’s gonna be around, this is a massive opportunity. [00:41:30] Jay McBain: Services are gonna continue to outgrow products. Probably for the next five to 10 years because of this, and I’m gonna finish here. So we talked a lot about quantifying names, faces, places, and I think where we failed the most as ultimate partners is underneath the tam, which every one of our CEOs knows to the decimal point underneath the TAM that our board thinks they’re chasing. [00:41:59] Jay McBain: We’ve done a very poor job. Of talking about the available markets and obtainable markets underneath it, we, we’ve shown them theory. We’ve shown them a bunch of, you know, really smart stuff, and PowerPoint slides up the wazoo, but we’ve never quantified it for them. If they wanna win, if they want to get access, if they want to double their pipeline, triple their pipeline, if they wanna start winning more deals, if they wanna win deals that are three times larger, they close two times faster. [00:42:31] Jay McBain: And they renew 15% larger. They have to get into the available and obtainable markets. So just in the last couple weeks I spoke at Cribble, I spoke at Octane, I spoke at CrowdStrike Falcon. All three of those companies at the CEO level, main stage use those exact three numbers, three x, two x, 15%. That’s the language of platforms, and they’re investing millions and millions and millions of dollars on teams. [00:42:59] Jay McBain: To go build out the Sam Andal in name spaces and places. So you’ve heard me talk about these 28 moments a lot. They’re the ones that you spend when you buy a car. Some people spend one moment and they drive to the Cadillac dealership. ’cause Larry’s been, you know, taking care of the family for 50 years. [00:43:18] Jay McBain: Some people spend 50 moments like I do, watching every YouTube video and every, you know, thing on the internet. I clear the internet cover to cover. But the fact is, is every deal averages around these 28 moments. Your customer, there’s 13 members of the buying committee today. There’s seven partners and they’re buying seven things. [00:43:37] Jay McBain: There’s 27 things orchestrating inside these 28 moments. And where and how they all take place is a story of partnering. So a couple of years ago, canals. Latin for channel was acquired by amia, which is a part of Informa Tech Target, which is majority owned by Informa. All that being said, there’s hundreds of magazines that we have. [00:44:00] Jay McBain: There’s hundreds of events that we run. If somebody’s buying cybersecurity, they probably went to Black Hat or they probably went to GI Tech. One of these events we run, or one of the magazines. So we pick up these signals, these buyer intent signals as a company. Why did they wanna, um, buy a, uh, a Canals, which was a, you know, a small analyst firm around channels? [00:44:22] Jay McBain: They understood this as well. The 28 moments look a lot like this when marketers and salespeople are busy filling in the spots of every deal. And by the way, this is a real deal. AstraZeneca came in to spend millions of dollars on ASAP transformation, and you can start to see as the customer got smart. [00:44:45] Jay McBain: The eBooks, they read the podcasts, they listened to the events they went to. You start to see how this played out over the long term. But the thing we’ve never had in our industry is the light blue boxes. This deal was won and lost in December. In this particular case, NTT software won and Yash came in and sold the customer five projects. [00:45:07] Jay McBain: The millions of dollars that were going to be spent were solved here. The design and architecture work was all done here. A couple of ISVs You see in light blue came in right at the end, deal was closed in April. You see the six month cycle. But what if you could fill in every one of the 28 boxes in every single customer prospect that your sales and marketing team have? [00:45:30] Jay McBain: But here’s the brilliance of this. Those light blue boxes didn’t win the deals there. They won the deals months before that. So when NTT and Software one walked into this deal. They probably won the deal back in October and they had to go through the redlining. They had to go through the contracting, they had to go through all the stuff and the Gantt chart to get started. [00:45:54] Jay McBain: But while your CMO is getting all excited about somebody reading an ebook and triggering an MQL that the sales team doesn’t want, ’cause it’s not qualified, it’s not sales qualified, you walk in and say, no, no. This is a multimillion deal, dollar deal. It’s AstraZeneca. I know the five partners that are coming in in December to solidify the seven layers, and you’re walking in at the same time as the CMOs bragging about an ebook. [00:46:21] Jay McBain: This changes everything. If we could get to this level of data about every dollar of our tam, we not only outgrow our competitors, we become the platforms of the next generation. Partnering and ultimate partnering is all here. And this is what we’re doing in this room. This is what we’re doing over these couple of days, and this is what, uh, the mission that Vince is leading. [00:46:43] Jay McBain: Thank you so much. [00:46:47] Vince Menzione: Woo. Day in the house. Good to see you my friend. Good to see you. Oh, we’re gonna spend a couple minutes. Um, I’m put you in the second seat. We’re gonna put, we’re gonna make it sit fireside for a minute. Uh, that was intense. It was pretty incredible actually, Jay. And so I’m, I think I wanna open it up ’cause we only have a few minutes just to, any questions? [00:47:06] Vince Menzione: I’m sure people are just digesting. We already have one up here. See, [00:47:09] Question: Jay knows I’m [00:47:10] Vince Menzione: a question. I love it. We, I don’t think we have any I can grab a mic, a roving mic. I could be a roving mic person. Hold on. We can do this. This is not on. [00:47:25] Vince Menzione: Test, test. Yes it is. Yeah. [00:47:26] Question: Theresa Carriol dared me to ask a question and I say, you don’t have to dare me. You know, I’m going to Anyway. Um, so Jay, of the point of view that with all of the new AI players that strategic alliances is again having a moment, and I was curious your point of view on what you’re seeing around this emergence and trend of strategic alliances and strategic alliance management. [00:47:52] Question: As compared to channel management. And what are you seeing in terms of large vendors like AWS investing in that strategic alliance role versus that channel role training, enablement, measurement, all that good stuff? [00:48:06] Jay McBain: Yeah, it’s, it’s a great question. So when I told the story about toast at the restaurant or Square or Clover, they’re not call, they’re not gonna call open AI or Nvidia themselves either. [00:48:17] Jay McBain: When you look out at the 250,000 ISVs. That make up this AI stack, there is the layers that happen there. So the Alliance with AWS, the alliance they have with Microsoft or Google is going to be how they generate agent AI in their platforms. So when I talk about a seven layer stack, the average deal being seven layers, AI is gonna drive this to nine, and then 11, then probably 13. [00:48:44] Jay McBain: So in terms of how alliances work, I had it up there as one of the five core strategies, and I think it’s pretty even. You can have the best alliances in the world, but if the seven partners trusted by the customer don’t know what that alliance is and the benefits to the customer and never mention it, it’s all for Naugh. [00:49:00] Jay McBain: If you’re go-to market, you’re co-selling, your co-marketing strategies are not built around that alliance. It’s all for naught. If the integration and the co-innovation, the co-development, the all the co-creation work that’s done inside these alliances isn’t translated to customer outcomes, it’s all for naugh. [00:49:17] Jay McBain: These are all five parallel swim lanes. All five are absolutely critically needed. And I think they’re all five pretty equally weighted in terms of needing each other. Yes. To be successful in the era of platforms. Yeah. [00:49:32] Vince Menzione: And the problem is they’re all stove pipe today. If, if at all. Yeah. Maintained, right. [00:49:36] Vince Menzione: Alliances is an example. Channels and other example. They don’t talk to one another. Judge any, we’ve got a mic up here if anybody else has. Yep. We have some questions here, Jacqueline. [00:49:51] Question: So when we’re developing our channel programs, any advice on, you know, what’s the shift that we should make six months from now, a year from now? The historical has been bronze, silver, gold, right? And you’ve got your deal registration, but what’s the future look like? [00:50:05] Jay McBain: Yeah, so I mean, the programs are, are changing to, to the point where the customer should be in the middle and realizing the seven partners you need to win the deal. [00:50:15] Jay McBain: And depending on what category of product you’re in, security, how much you rely on resell, 91.6%. You know, the channel partners are gonna be critical where the customer spends the money. And if you’re adding friction to that process, you’re adding friction in terms of your growth. So you know, if you’re in cybersecurity, you have to have a pretty wide open reseller model. [00:50:39] Jay McBain: You have to have a wide open distribution model, and you have to make sure you’re there at that point of sale. While at the same time, considering the other six partners at moment 12 who are in either saying nice things about you or not, the customer might even be starting with you. ’cause there is actually one thing that I didn’t mention when I showed the 28 moments filled in. [00:51:00] Jay McBain: You’ll notice that the customer went to AWS twice direct. AWS lost the deal. Microsoft won the deal software. One is Microsoft’s biggest reseller in the world. They just acquired crayon. NTT who, who loves both had their Microsoft team go in. [00:51:18] Question: Mm. [00:51:19] Jay McBain: So I think that they went to AWS thinking it was A-W-S-S-A-P, you know, kind of starting this seven layer stack. [00:51:25] Jay McBain: I think they finished those, you know, critical moments in the middle looking at it. And then they went back to AWS kind of going probably WWTF. Yeah. What we thought was happening isn’t actually the outcome that was painted by our most trusted people. So, you know, to answer your question, listen to your partners. [00:51:43] Jay McBain: They want to be recognized for the other things they’re doing. You can’t be spending a hundred percent of the dollars at the point of sale. You gotta have a point of system that recognizes the point of sale, maybe even gold, silver, bronze, but recognizing that you’re paying for these other moments as well. [00:51:57] Jay McBain: Paying for alliances, paying for integrations and everything else, uh, in the cyber stack. And, um, you know, recognizing also the top 1000. So if I took your tam. And I overlaid those thousand logos. I would be walking into 2026 the best I could of showing my company logo by logo, where 80% of our TAM sits as wallet share, not by revenue. [00:52:25] Jay McBain: Remember, a million dollar partner is not a million dollar partner. One of them sells 1.2 million in our category. We should buy them a baseball cap and have ’em sit in the front row of our event. One of them sells $10 million and only sells our stuff if the customer asks. So my company should be looking at that $9 million opportunity and making sure my programs are writing the checks and my coverage. [00:52:48] Jay McBain: My capacity and capability planning is getting obsessed over that $9 million. My farmers can go over there, my hunters can go over here, and I should be submitting a list of a thousand sorted in descending order of opportunity. Of where my company can write program dollars into. [00:53:07] Vince Menzione: Great answer. All right. I, I do wanna be cognizant of time and the, all the other sessions we have. [00:53:14] Vince Menzione: So we’ll just take one other question if there are any here and if not, we’ll let I know. Jay, you’re gonna be mingling around for a little while before your flight. I’m [00:53:21] Jay McBain: here the whole day. [00:53:22] Vince Menzione: You, you’re the whole day. I see that Jay’s here the whole day. So if you have any other questions and, and, uh, sharing the deck is that. [00:53:29] Vince Menzione: Yep. Alright. We have permission to share the deck with the each of you as well. [00:53:34] Jay McBain: Alright, well thank you very much everyone. Jay. Great to have you.

The world is building data centers, identity rails, and AI policy stacks at a speed that makes 2026 feel closer than it is. In this conversation, Rajesh Natarajan, Global Chief Technology Officer at Gorilla Technology Group, explains what it takes to engineer platforms that remain reliable, secure, and sovereign-ready for decades, especially when infrastructure must operate outside the safety net of constant cloud connectivity. Raj talks about quantum-safe networking as a current risk, not a future headline. Adversaries are capturing encrypted traffic today, betting on decrypting it later, and retrofitting quantum-safe architecture into national platforms mid-lifecycle is an expensive mistake waiting to happen. He also highlights the regional nature of AI infrastructure, Southeast Asia prioritizing sovereignty, speed, and efficiency, Europe leaning on regulation and telemetry, and the U.S. betting on raw cluster scale and throughput. Sustainability at Gorilla isn't a marketing headline, it's an engineering requirement. If a system can't prove its environmental impact using telemetry like workload-level PUE, it isn't labeled sustainable internally. Gorilla applies the same rigor to IoT insight per unit of energy, device lifecycles, and edge-level intelligence placement, minimizing data centralization without operational justification. This episode offers marketers, founders, and technology leaders a rare chance to understand what national-scale resilience looks like when platform alignment breaks first, not technology. Remembering that decisions must be reversible, explicit, and measurable is the foundation of how Gorilla is designing systems that can evolve without forcing rushed compromises when uncertainty becomes reality. Useful links: Connect with Dr Rajesh Natarajan Gorilla website Tech Talks Daily is Sponsored by Denodo  

O Start Eldorado destaca a primeira parte da retrospectiva 2025, com os principais temas e entrevistas levados ao ar no primeiro semestre do ano, com destaque para os avanços da Inteligência Artificial, redes, IoT, dados e muitas aplicações de tecnologia em diversos segmentos. Com apresentação de Daniel Gonzales, o Start vai ao ar todas as quartas-feiras, às 21h, na Rádio Eldorado FM (107,3 para toda a Grande São Paulo), site da Eldorado FM, no Estadão.com.br e assistentes de voz.See omnystudio.com/listener for privacy information.

Podcast: Nexus: A Claroty Podcast (LS 32 · TOP 5% what is this?)Episode: Jay Catherine on Securing Logistics, OT in RetailPub date: 2025-12-18Get Podcast Transcript →powered by Listen411 - fast audio-to-text and summarizationJay Catherine, security architect for a major retailer, joins the Nexus Podcast to discuss the intricacies of securing logistics and operational technology within the retail sector. Catherine covers various aspects of logistics cybersecurity, including risks introduced by connecting OT and IoT to the network, and the challenges of managing third-party vendor and supply chain relationships. He also discusses his unconventional career path, from hockey broadcaster to his current cybersecurity role. Listen and subscribe to the Nexus Podcast.The podcast and artwork embedded on this page are from Claroty, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.

Send us a textWe trace how a scholar of expressive choice built a platform that makes machines more profitable by erasing the friction between parts, service, and uptime. The rental economy, Japan's utilization model, and IoT diagnostics reveal why transaction costs, not price tags, decide who should own and who should rent.• rental vs sharing and why property rights matter• how serial-number specific data kills errors and downtime• why parts discounts matter less than service speed• Japan's high saturation rental market and long lifecycles• sensors, IoT, and AI for damage attribution and prevention• decommoditizing parts through integrated workflows• Coasean boundaries of the firm and renting incentives• why RB Global acquired SmartEquip to span the lifecycle• the back-office puzzle of bespoke systems vs SaaS“Next week: Book 4, chapters 7–9 from The Wealth of Nations”(Parts is Parts, from Wendy's)https://youtu.be/OTzLVIc-O5E?si=Mjz8JX-Sl_sdG6bCIf you have questions or comments, or want to suggest a future topic, email the show at taitc.email@gmail.com ! You can follow Mike Munger on Twitter at @mungowitz

We had a kwentuhan with Hex Colony - Urbiony last Philippine Startup Week 2025!Urbiony, the flagship product of Hex Colony, is an IoT and AI smart farming application for hydroponics and farm management for businesses.This episode is recorded live at the Philippine Innovation Hub in Marikina City.In this episode:00:00 Introduction01:01 Ano ang Hex Colony - Urbiony?29:23 How can listeners find more information?HEX COLONY - URBIONYWebsite: https://hexcolony.comFacebook: https://facebook.com/profile.php?id=61580389509760PHILIPPINE STARTUP WEEKWebsite: https://phstartupweek.comFacebook: https://facebook.com/PhilippineStartupWeekTHIS EPISODE IS CO-PRODUCED BY:Yspaces: ⁠⁠https://knowyourspaceph.com⁠⁠Apeiron: ⁠⁠https://apeirongrp.com⁠⁠Twala: ⁠⁠https://twala.io⁠⁠Symph: ⁠⁠https://symph.co⁠⁠Secuna: ⁠⁠https://secuna.io⁠⁠SkoolTek by Edfolio: ⁠⁠https://skooltek.co⁠⁠MaroonStudios: ⁠⁠https://maroonstudios.com⁠⁠CompareLoans: ⁠⁠http://compareloans.ph⁠⁠CHECK OUT OUR PARTNERS:Ask Lex PH Academy: ⁠⁠https://asklexph.com⁠⁠ (5% discount on e-learning courses! Code: ALPHAXSUP)Argum AI: ⁠⁠http://argum.ai⁠⁠PIXEL by Eplayment: ⁠⁠https://pixel.eplayment.co/auth/sign-up?r=PIXELXSUP1⁠⁠ (Sign up using Code: PIXELXSUP1)School of Profits: ⁠⁠https://schoolofprofits.academy⁠⁠Founders Launchpad: ⁠⁠https://founderslaunchpad.vc⁠⁠Hier Business Solutions: ⁠⁠https://hierpayroll.com⁠⁠Agile Data Solutions (Hustle PH): ⁠⁠https://agiledatasolutions.tech⁠⁠Smile Checks: ⁠⁠https://getsmilechecks.com⁠⁠CloudCFO: ⁠⁠https://cloudcfo.ph⁠⁠ (Free financial assessment, process onboarding, and 6-month QuickBooks subscription! Mention: Start Up Podcast PH)Cloverly: ⁠⁠https://cloverly.tech⁠⁠BuddyBetes: ⁠⁠https://buddybetes.com⁠⁠HKB Digital Services: ⁠⁠https://contakt-ph.com⁠⁠ (10% discount on RFID Business Cards! Code: CONTAKTXSUP)Hyperstacks: ⁠⁠https://hyperstacksinc.com⁠⁠OneCFO: ⁠⁠https://onecfoph.co⁠⁠ (10% discount on CFO services! Code: ONECFOXSUP)Wunderbrand: ⁠⁠https://wunderbrand.com⁠⁠DVCode Technologies Inc: ⁠⁠https://dvcode.tech⁠⁠NutriCoach: ⁠⁠https://nutricoach.com⁠⁠Uplift Code Camp: ⁠⁠https://upliftcodecamp.com⁠⁠ (5% discount on bootcamps and courses! Code: UPLIFTSTARTUPPH)START UP PODCAST PHYouTube: ⁠⁠https://youtube.com/startuppodcastph⁠⁠Spotify: ⁠⁠https://open.spotify.com/show/6BObuPvMfoZzdlJeb1XXVa⁠⁠Apple Podcasts: ⁠⁠https://podcasts.apple.com/us/podcast/start-up-podcast/id1576462394⁠⁠Facebook: ⁠⁠https://facebook.com/startuppodcastph⁠⁠Patreon: ⁠⁠https://patreon.com/StartUpPodcastPH⁠⁠PIXEL: ⁠⁠https://pixel.eplayment.co/dl/startuppodcastph⁠⁠Website: ⁠⁠https://phstartup.online⁠⁠This episode is edited by the team at: ⁠⁠https://tasharivera.com⁠

After a year tangled in political drama, AI hype, and regulation battles, the TWiT crew explains how many of tech's "biggest stories" simply fizzled into nothing or left us with new headaches by year's end. • Year-end tech trends: AI, politics, and security dominated 2025 • Major stories faded fast: TikTok saga, political tech drama, DOGE scandal • TikTok's ownership battle—Oracle, Trump donors, and US-China tensions • China tech fears: banned drones, IoT vulnerabilities, secret radios in buses • Rising political pressure for internet privacy and media literacy reform • Surveillance and kill switch concerns in US grid and port infrastructure • Convenience vs. privacy: Americans trade data for discounts and ease • Age verification, surveillance, and flawed facial recognition across countries • Discord's ID leak highlights risks of rushed compliance with privacy laws • Social media's impact on kids pushes age-gating and verification laws • ISPs monetize customer data, VPNs pitched for personal privacy • Global government crackdowns: UK bans VPN advertising, mandates age checks • The illusion of absolute privacy: flawed age gates and persistent tracking • AI takes over: explosive growth, but profits elusive for big players • Arms race in LLMs: DeepSeek's breakthrough, OpenAI/Meta talent bidding war • Ad-driven models still rule; Amazon's playbook repeated in AI • Humanoid robots and AGI hype: skepticism vs. Silicon Valley optimism • AI-generated art, media, and the challenge of deepfake detection • Social platforms falter: Instagram and X swamped by fake or low-value content • Google's legal, regulatory, and technical woes: ad tech trial, Manifest V3 backlash • RAM price spikes and hardware shortages blamed on AI data center demand • YouTube overtakes mobile for podcast and video viewing, Oscars move online • The internet's growth: Cloudflare stats, X vs. Reddit, spam domain trends • Weird tech stories: hacked crosswalks, Nintendo Switch 2 Staplegate, LEGO theft ring • Sad farewell: Lamar Wilson's passing and mental health awareness in tech • Reflections on the year's turbulence and hopes for a better 2026 Host: Leo Laporte Guests: Mikah Sargent, Paris Martineau, and Steve Gibson Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: expressvpn.com/twit zscaler.com/security Melissa.com/twit ventionteams.com/twit auraframes.com/ink

After a year tangled in political drama, AI hype, and regulation battles, the TWiT crew explains how many of tech's "biggest stories" simply fizzled into nothing or left us with new headaches by year's end. Year-end tech trends: AI, politics, and security dominated 2025 Major stories faded fast: TikTok saga, political tech drama, DOGE scandal TikTok's ownership battle—Oracle, Trump donors, and US-China tensions China tech fears: banned drones, IoT vulnerabilities, secret radios in buses Rising political pressure for internet privacy and media literacy reform Surveillance and kill switch concerns in US grid and port infrastructure Convenience vs. privacy: Americans trade data for discounts and ease Age verification, surveillance, and flawed facial recognition across countries Discord's ID leak highlights risks of rushed compliance with privacy laws Social media's impact on kids pushes age-gating and verification laws ISPs monetize customer data, VPNs pitched for personal privacy Global government crackdowns: UK bans VPN advertising, mandates age checks The illusion of absolute privacy: flawed age gates and persistent tracking AI takes over: explosive growth, but profits elusive for big players Arms race in LLMs: DeepSeek's breakthrough, OpenAI/Meta talent bidding war Ad-driven models still rule; Amazon's playbook repeated in AI Humanoid robots and AGI hype: skepticism vs. Silicon Valley optimism AI-generated art, media, and the challenge of deepfake detection Social platforms falter: Instagram and X swamped by fake or low-value content Google's legal, regulatory, and technical woes: ad tech trial, Manifest V3 backlash RAM price spikes and hardware shortages blamed on AI data center demand YouTube overtakes mobile for podcast and video viewing, Oscars move online The internet's growth: Cloudflare stats, X vs. Reddit, spam domain trends Weird tech stories: hacked crosswalks, Nintendo Switch 2 Staplegate, LEGO theft ring Sad farewell: Lamar Wilson's passing and mental health awareness in tech Reflections on the year's turbulence and hopes for a better 2026 Host: Leo Laporte Guests: Mikah Sargent, Paris Martineau, and Steve Gibson Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: expressvpn.com/twit zscaler.com/security Melissa.com/twit ventionteams.com/twit auraframes.com/ink

After a year tangled in political drama, AI hype, and regulation battles, the TWiT crew explains how many of tech's "biggest stories" simply fizzled into nothing or left us with new headaches by year's end. Year-end tech trends: AI, politics, and security dominated 2025 Major stories faded fast: TikTok saga, political tech drama, DOGE scandal TikTok's ownership battle—Oracle, Trump donors, and US-China tensions China tech fears: banned drones, IoT vulnerabilities, secret radios in buses Rising political pressure for internet privacy and media literacy reform Surveillance and kill switch concerns in US grid and port infrastructure Convenience vs. privacy: Americans trade data for discounts and ease Age verification, surveillance, and flawed facial recognition across countries Discord's ID leak highlights risks of rushed compliance with privacy laws Social media's impact on kids pushes age-gating and verification laws ISPs monetize customer data, VPNs pitched for personal privacy Global government crackdowns: UK bans VPN advertising, mandates age checks The illusion of absolute privacy: flawed age gates and persistent tracking AI takes over: explosive growth, but profits elusive for big players Arms race in LLMs: DeepSeek's breakthrough, OpenAI/Meta talent bidding war Ad-driven models still rule; Amazon's playbook repeated in AI Humanoid robots and AGI hype: skepticism vs. Silicon Valley optimism AI-generated art, media, and the challenge of deepfake detection Social platforms falter: Instagram and X swamped by fake or low-value content Google's legal, regulatory, and technical woes: ad tech trial, Manifest V3 backlash RAM price spikes and hardware shortages blamed on AI data center demand YouTube overtakes mobile for podcast and video viewing, Oscars move online The internet's growth: Cloudflare stats, X vs. Reddit, spam domain trends Weird tech stories: hacked crosswalks, Nintendo Switch 2 Staplegate, LEGO theft ring Sad farewell: Lamar Wilson's passing and mental health awareness in tech Reflections on the year's turbulence and hopes for a better 2026 Host: Leo Laporte Guests: Mikah Sargent, Paris Martineau, and Steve Gibson Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: expressvpn.com/twit zscaler.com/security Melissa.com/twit ventionteams.com/twit auraframes.com/ink

After a year tangled in political drama, AI hype, and regulation battles, the TWiT crew explains how many of tech's "biggest stories" simply fizzled into nothing or left us with new headaches by year's end. Year-end tech trends: AI, politics, and security dominated 2025 Major stories faded fast: TikTok saga, political tech drama, DOGE scandal TikTok's ownership battle—Oracle, Trump donors, and US-China tensions China tech fears: banned drones, IoT vulnerabilities, secret radios in buses Rising political pressure for internet privacy and media literacy reform Surveillance and kill switch concerns in US grid and port infrastructure Convenience vs. privacy: Americans trade data for discounts and ease Age verification, surveillance, and flawed facial recognition across countries Discord's ID leak highlights risks of rushed compliance with privacy laws Social media's impact on kids pushes age-gating and verification laws ISPs monetize customer data, VPNs pitched for personal privacy Global government crackdowns: UK bans VPN advertising, mandates age checks The illusion of absolute privacy: flawed age gates and persistent tracking AI takes over: explosive growth, but profits elusive for big players Arms race in LLMs: DeepSeek's breakthrough, OpenAI/Meta talent bidding war Ad-driven models still rule; Amazon's playbook repeated in AI Humanoid robots and AGI hype: skepticism vs. Silicon Valley optimism AI-generated art, media, and the challenge of deepfake detection Social platforms falter: Instagram and X swamped by fake or low-value content Google's legal, regulatory, and technical woes: ad tech trial, Manifest V3 backlash RAM price spikes and hardware shortages blamed on AI data center demand YouTube overtakes mobile for podcast and video viewing, Oscars move online The internet's growth: Cloudflare stats, X vs. Reddit, spam domain trends Weird tech stories: hacked crosswalks, Nintendo Switch 2 Staplegate, LEGO theft ring Sad farewell: Lamar Wilson's passing and mental health awareness in tech Reflections on the year's turbulence and hopes for a better 2026 Host: Leo Laporte Guests: Mikah Sargent, Paris Martineau, and Steve Gibson Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: expressvpn.com/twit zscaler.com/security Melissa.com/twit ventionteams.com/twit auraframes.com/ink

After a year tangled in political drama, AI hype, and regulation battles, the TWiT crew explains how many of tech's "biggest stories" simply fizzled into nothing or left us with new headaches by year's end. Year-end tech trends: AI, politics, and security dominated 2025 Major stories faded fast: TikTok saga, political tech drama, DOGE scandal TikTok's ownership battle—Oracle, Trump donors, and US-China tensions China tech fears: banned drones, IoT vulnerabilities, secret radios in buses Rising political pressure for internet privacy and media literacy reform Surveillance and kill switch concerns in US grid and port infrastructure Convenience vs. privacy: Americans trade data for discounts and ease Age verification, surveillance, and flawed facial recognition across countries Discord's ID leak highlights risks of rushed compliance with privacy laws Social media's impact on kids pushes age-gating and verification laws ISPs monetize customer data, VPNs pitched for personal privacy Global government crackdowns: UK bans VPN advertising, mandates age checks The illusion of absolute privacy: flawed age gates and persistent tracking AI takes over: explosive growth, but profits elusive for big players Arms race in LLMs: DeepSeek's breakthrough, OpenAI/Meta talent bidding war Ad-driven models still rule; Amazon's playbook repeated in AI Humanoid robots and AGI hype: skepticism vs. Silicon Valley optimism AI-generated art, media, and the challenge of deepfake detection Social platforms falter: Instagram and X swamped by fake or low-value content Google's legal, regulatory, and technical woes: ad tech trial, Manifest V3 backlash RAM price spikes and hardware shortages blamed on AI data center demand YouTube overtakes mobile for podcast and video viewing, Oscars move online The internet's growth: Cloudflare stats, X vs. Reddit, spam domain trends Weird tech stories: hacked crosswalks, Nintendo Switch 2 Staplegate, LEGO theft ring Sad farewell: Lamar Wilson's passing and mental health awareness in tech Reflections on the year's turbulence and hopes for a better 2026 Host: Leo Laporte Guests: Mikah Sargent, Paris Martineau, and Steve Gibson Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: expressvpn.com/twit zscaler.com/security Melissa.com/twit ventionteams.com/twit auraframes.com/ink

After a year tangled in political drama, AI hype, and regulation battles, the TWiT crew explains how many of tech's "biggest stories" simply fizzled into nothing or left us with new headaches by year's end. Year-end tech trends: AI, politics, and security dominated 2025 Major stories faded fast: TikTok saga, political tech drama, DOGE scandal TikTok's ownership battle—Oracle, Trump donors, and US-China tensions China tech fears: banned drones, IoT vulnerabilities, secret radios in buses Rising political pressure for internet privacy and media literacy reform Surveillance and kill switch concerns in US grid and port infrastructure Convenience vs. privacy: Americans trade data for discounts and ease Age verification, surveillance, and flawed facial recognition across countries Discord's ID leak highlights risks of rushed compliance with privacy laws Social media's impact on kids pushes age-gating and verification laws ISPs monetize customer data, VPNs pitched for personal privacy Global government crackdowns: UK bans VPN advertising, mandates age checks The illusion of absolute privacy: flawed age gates and persistent tracking AI takes over: explosive growth, but profits elusive for big players Arms race in LLMs: DeepSeek's breakthrough, OpenAI/Meta talent bidding war Ad-driven models still rule; Amazon's playbook repeated in AI Humanoid robots and AGI hype: skepticism vs. Silicon Valley optimism AI-generated art, media, and the challenge of deepfake detection Social platforms falter: Instagram and X swamped by fake or low-value content Google's legal, regulatory, and technical woes: ad tech trial, Manifest V3 backlash RAM price spikes and hardware shortages blamed on AI data center demand YouTube overtakes mobile for podcast and video viewing, Oscars move online The internet's growth: Cloudflare stats, X vs. Reddit, spam domain trends Weird tech stories: hacked crosswalks, Nintendo Switch 2 Staplegate, LEGO theft ring Sad farewell: Lamar Wilson's passing and mental health awareness in tech Reflections on the year's turbulence and hopes for a better 2026 Host: Leo Laporte Guests: Mikah Sargent, Paris Martineau, and Steve Gibson Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: expressvpn.com/twit zscaler.com/security Melissa.com/twit ventionteams.com/twit auraframes.com/ink

After a year tangled in political drama, AI hype, and regulation battles, the TWiT crew explains how many of tech's "biggest stories" simply fizzled into nothing or left us with new headaches by year's end. Year-end tech trends: AI, politics, and security dominated 2025 Major stories faded fast: TikTok saga, political tech drama, DOGE scandal TikTok's ownership battle—Oracle, Trump donors, and US-China tensions China tech fears: banned drones, IoT vulnerabilities, secret radios in buses Rising political pressure for internet privacy and media literacy reform Surveillance and kill switch concerns in US grid and port infrastructure Convenience vs. privacy: Americans trade data for discounts and ease Age verification, surveillance, and flawed facial recognition across countries Discord's ID leak highlights risks of rushed compliance with privacy laws Social media's impact on kids pushes age-gating and verification laws ISPs monetize customer data, VPNs pitched for personal privacy Global government crackdowns: UK bans VPN advertising, mandates age checks The illusion of absolute privacy: flawed age gates and persistent tracking AI takes over: explosive growth, but profits elusive for big players Arms race in LLMs: DeepSeek's breakthrough, OpenAI/Meta talent bidding war Ad-driven models still rule; Amazon's playbook repeated in AI Humanoid robots and AGI hype: skepticism vs. Silicon Valley optimism AI-generated art, media, and the challenge of deepfake detection Social platforms falter: Instagram and X swamped by fake or low-value content Google's legal, regulatory, and technical woes: ad tech trial, Manifest V3 backlash RAM price spikes and hardware shortages blamed on AI data center demand YouTube overtakes mobile for podcast and video viewing, Oscars move online The internet's growth: Cloudflare stats, X vs. Reddit, spam domain trends Weird tech stories: hacked crosswalks, Nintendo Switch 2 Staplegate, LEGO theft ring Sad farewell: Lamar Wilson's passing and mental health awareness in tech Reflections on the year's turbulence and hopes for a better 2026 Host: Leo Laporte Guests: Mikah Sargent, Paris Martineau, and Steve Gibson Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: expressvpn.com/twit zscaler.com/security Melissa.com/twit ventionteams.com/twit auraframes.com/ink

After a year tangled in political drama, AI hype, and regulation battles, the TWiT crew explains how many of tech's "biggest stories" simply fizzled into nothing or left us with new headaches by year's end. Year-end tech trends: AI, politics, and security dominated 2025 Major stories faded fast: TikTok saga, political tech drama, DOGE scandal TikTok's ownership battle—Oracle, Trump donors, and US-China tensions China tech fears: banned drones, IoT vulnerabilities, secret radios in buses Rising political pressure for internet privacy and media literacy reform Surveillance and kill switch concerns in US grid and port infrastructure Convenience vs. privacy: Americans trade data for discounts and ease Age verification, surveillance, and flawed facial recognition across countries Discord's ID leak highlights risks of rushed compliance with privacy laws Social media's impact on kids pushes age-gating and verification laws ISPs monetize customer data, VPNs pitched for personal privacy Global government crackdowns: UK bans VPN advertising, mandates age checks The illusion of absolute privacy: flawed age gates and persistent tracking AI takes over: explosive growth, but profits elusive for big players Arms race in LLMs: DeepSeek's breakthrough, OpenAI/Meta talent bidding war Ad-driven models still rule; Amazon's playbook repeated in AI Humanoid robots and AGI hype: skepticism vs. Silicon Valley optimism AI-generated art, media, and the challenge of deepfake detection Social platforms falter: Instagram and X swamped by fake or low-value content Google's legal, regulatory, and technical woes: ad tech trial, Manifest V3 backlash RAM price spikes and hardware shortages blamed on AI data center demand YouTube overtakes mobile for podcast and video viewing, Oscars move online The internet's growth: Cloudflare stats, X vs. Reddit, spam domain trends Weird tech stories: hacked crosswalks, Nintendo Switch 2 Staplegate, LEGO theft ring Sad farewell: Lamar Wilson's passing and mental health awareness in tech Reflections on the year's turbulence and hopes for a better 2026 Host: Leo Laporte Guests: Mikah Sargent, Paris Martineau, and Steve Gibson Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: expressvpn.com/twit zscaler.com/security Melissa.com/twit ventionteams.com/twit auraframes.com/ink

The Great Holiday Homelab Special! Where our community brought their absolute best, from budget busters to beautiful disasters. Plus, a boosties celebration! Grab an eggnog and join us as we attempt to choose this year's winners.Sponsored By:Managed Nebula: Meet Managed Nebula from Defined Networking. A decentralized VPN built on the open-source Nebula platform that we love. 1Password Extended Access Management: 1Password Extended Access Management is a device trust solution for companies with Okta, and they ensure that if a device isn't trusted and secure, it can't log into your cloud apps. CrowdHealth: Discover a Better Way to Pay for Healthcare with Crowdfunded Memberships. Join CrowdHealth to get started today for $99 for your first three months using UNPLUGGED.Unraid: A powerful, easy operating system for servers and storage. Maximize your hardware with unmatched flexibility. Support LINUX UnpluggedLinks:

IoT all the things! A full walkthrough of all the connected stuff, warts and all. Sponsored by 1Password. https://www.troyhunt.com/weekly-update-483/See omnystudio.com/listener for privacy information.

In this cozy holiday episode of Linux Out Loud, Wendy, Nate, and Bill juggle Christmas chaos, retro joy, and serious tech lessons. Nate shares the excitement of finally getting his Commodore 64 Ultimate under the tree and rebuilding vintage Christmas trains, while Bill tells a powerful story about stepping into a network left behind after a colleague's passing—and why planning password and account access for loved ones matters more than any gadget. From Synology NAS upgrades and “you can never have too much storage” energy, to Fedora gaming projects, Bazite and Nobara, and the realities of traveling as a digital nomad, the crew covers a lot of nerd ground. They also dig into Home Assistant dashboards, smart bulbs and Christmas displays, securing IoT networks, and why Linux printing is still a little spicy even as it improves. Whether you're here for legacy planning, blinking LEDs, or just some winter-flavored banter, this episode wraps it all up with community love and future-topic teases. Find the rest of the show notes at: https://tuxdigital.com/podcasts/linux-out-loud/lol-118/ Visit the Tux Digital Merch Store: https://store.tuxdigital.com/ Connect with the Hosts: Contact Form: https://tuxdigital.com/contact Matt – @MattTDN on Twitter Wendy – @WendyDLN on Mastodon Nate – CubicleNate.com Bill – @ctlinux Special Guest: Bill.

Doug Green, Publisher of Technology Reseller News, spoke with Josh Flinn, Director of Product, Cloud Software at Digi International, about the company's achievement of SOC 2 Type 2 compliance and what it means for channel partners building secure, cloud-based IoT solutions. Digi International is a global leader in cellular connectivity for IoT, delivering secure, reliable connectivity for distributed devices such as remote sensors, smart city infrastructure, vehicles, and industrial systems. Operating as a channel-first company, Digi focuses on helping partners deploy and manage IoT solutions at scale through cloud-based platforms like Digi Remote Manager and Digi Ventus. During the discussion, Flinn explained that SOC 2 Type 2 is a significant milestone because it validates not only Digi's security controls but also the ongoing execution of secure development, auditing, and change management practices over time. For channel partners, this reduces friction in the sales cycle, simplifies security questionnaires, and provides confidence that core components of their solutions already meet rigorous security standards. As Flinn noted, “SOC 2 is not a one-time event—it's an ongoing commitment to secure operations.” The compliance attestation currently covers Digi Remote Manager for Digi 360 router and gateway platforms, as well as Digi Ventus, Digi's managed services cloud platform. Looking ahead, Digi is continuing to invest in security enhancements such as long-term support firmware, eSIM security capabilities, and automated compliance controls, reinforcing its cloud-first approach as partners and customers move toward increasingly distributed, IoT-driven environments. Learn more about Digi International at https://www.digi.com/. Software Mind Telco Days 2025: On-demand online conference Engaging Customers, Harnessing Data

This week, our hosts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Dave Bittner⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Joe Carrigan⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Maria Varmazis⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ (also host of the ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠T-Minus⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Space Daily show) are sharing the latest in social engineering scams, phishing schemes, and criminal exploits that are making headlines. In follow-up this week, we waded into murky legal waters with a fish-demeanor pun that's now swimming rent-free in our heads, then pivoted to some surprisingly practical home-network wisdom—segregating IoT devices before they take over your Wi-Fi (and your sanity). Joe looks at how Google is taking a dual approach to fighting scams—suing to dismantle the “Lighthouse” phishing operation while backing bipartisan legislation and rolling out AI tools to protect users from smishing, robocalls, and fraud. Maria looks at how seniors are more digitally active than ever—and why caregivers and families play a key role in keeping them safe online, with practical tips ranging from strong passwords and MFA to regular conversations about scams and device security. Dave looks at two very different but increasingly common scam fronts: an FBI warning about AI-powered “virtual kidnapping” extortion schemes using fake proof-of-life images, and a surge in celebrity impersonation scams that used hacked social media accounts to trick music fans out of billions in fake tickets, merch, crypto, and VIP offers. Our catch of the day comes from Reddit where Dave and Joe take on a series of messages that will have you rethinking the way you answer scams. Resources and links to stories: ⁠⁠⁠⁠A dual strategy: legal action and new legislation to fight scammers Empowering Seniors for Safer Online Experiences: 6 Practical Safety Tips for Caregivers and Families New FBI alert urges vigilance on virtual kidnapping schemes Taylor Swift, Sabrina Carpenter Impersonators Scam Fans Out of $5.3 Billion in 2025: Report ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Have a Catch of the Day you'd like to share? Email it to us at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠hackinghumans@n2k.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.

This podcast is brought to you by Outcomes Rocket, your exclusive healthcare marketing agency. Learn how to accelerate your growth by going to⁠ outcomesrocket.com This episode of the AI Med 25 Insights series is brought to you by Outcomes Rocket and Censinet. Trustworthy AI-enabled healthcare depends on standards that harden identity, privacy, safety, and security across devices, data, and institutions.  In this episode, Florence Hudson, Executive Director at Columbia University, discusses using data and AI “for good” through federally funded innovation work. She explains how she led the development of IEEE's TIPS standard for clinical IoT, focusing on Trust, Identity, Privacy Protection, Safety, and Security, and why it drew contributions from over 300 experts across 33 countries. Florence examines how lessons from aerospace and mission-critical systems apply to healthcare reliability, encompassing the provenance, reproducibility, and repeatability of AI outputs. She also delves into digital twins and “virtual human” initiatives that combine genomics, exposomics, imaging, and biomarkers for precision medicine, as well as remote monitoring use cases, such as external sensors that detect breathing challenges. Finally, she closes with mentoring future leaders and building open, interoperable foundations for responsible innovation.  Tune in and learn how standards and digital twins can make AI healthcare safer, more trustworthy, and truly scalable! Resources Connect with and follow Florence Hudson on LinkedIn. Follow Columbia University on LinkedIn and visit their website!

Episode 153: In this episode of Critical Thinking - Bug Bounty Podcast Matt Brown returns to talk with us about hacking robots, IOT hackbots, and his Zero-to-Hero Hardware Hacking Guide.Follow us on twitter at: https://x.com/ctbbpodcastGot any ideas and suggestions? Feel free to send us any feedback here: info@criticalthinkingpodcast.ioShoutout to YTCracker for the awesome intro music!====== Links ======Follow your hosts Rhynorater, rez0 and gr3pme on X: https://x.com/Rhynoraterhttps://x.com/rez0__https://x.com/gr3pme====== Ways to Support CTBBPodcast ======Hop on the CTBB Discord at https://ctbb.show/discord!We also do Discord subs at $25, $10, and $5 - premium subscribers get access to private masterclasses, exploits, tools, scripts, un-redacted bug reports, etc.You can also find some hacker swag at https://ctbb.show/merch!Today's Guest: Matt Brownhttps://x.com/nmatt0https://github.com/BrownFineSecurity/iothackbot====== Resources ======KeeYees USB Logic Analyzer DeviceSaleae logic analyzerXGecuHardware Hacking Tutorial by Make Me HackUART and SPI firmware extractionUART Root Shell on Linux RouterUART Shell Jail and Unlocked BootloaderChinese IP Camera Firmware ExtractionChip-Off Firmware Extraction====== Timestamps ======(00:00:00) Introduction(00:01:22) Incremental Session Token Story and Matt Brown Intro (00:10:42) Hardware Bug Bounty Scene & AI on Devices(00:24:30) Hacking Human Robot(00:41:33) Zero-to-Hero Hardware Hacking Guide(01:01:47) IOT Hackbot

In this episode of The Modern Facilities Management Podcast, Griffin Hamilton is joined by Micah Jacob, a Melbourne-based Facilities Manager with over a decade of global FM experience across Australia, Europe, and large multinational portfolios.Micah's journey into facilities management is anything but traditional. Originally trained in computer science, his career path took an unexpected turn—from a mailroom role to managing complex FM contracts across energy, banking, retail, and commercial real estate. Along the way, he's worked with some of the largest global FM providers, gaining a rare, cross-functional perspective on how facilities management has evolved over the last 12 years.Together, Griffin and Micah explore:How a technical and systems-thinking background can shape better FM decision-makingThe expanding role of facilities teams post-COVID, from operations to strategyWhy emotional intelligence and stakeholder psychology are now critical FM skillsGlobal differences in FM best practices across Australia, the U.S., Europe, and the Middle EastThe promise—and challenges—of IoT, data, and predictive maintenance in facilitiesWhy adaptability beats “cause and effect” thinking in complex FM environmentsMicah also shares insights into mentorship, continuous learning, and his upcoming book project focused on complex systems thinking—bridging human psychology, infrastructure, and long-term outcomes in facilities and beyond.Enjoy!

Jay Catherine, security architect for a major retailer, joins the Nexus Podcast to discuss the intricacies of securing logistics and operational technology within the retail sector. Catherine covers various aspects of logistics cybersecurity, including risks introduced by connecting OT and IoT to the network, and the challenges of managing third-party vendor and supply chain relationships. He also discusses his unconventional career path, from hockey broadcaster to his current cybersecurity role. Listen and subscribe to the Nexus Podcast.Feedspot has named Nexus a top IoT security podcast for 2025

In this episode of Disruption/Interruption, host KJ sits down with Min Kyriannis, a trailblazer in the global security industry and CEO of Amyna Systems. Min shares her journey from immigrant roots to industry leadership, discusses the evolving landscape of network security, and explains how Amyna Systems is revolutionizing device-level protection. The conversation covers the challenges of legacy technology, the importance of proactive security, and Min’s commitment to both technological and humanitarian causes. Four Key Takeaways: The Human Element is the Weakest Link [11:03]Min emphasizes that despite technological advances, human error and lack of education remain the biggest vulnerabilities in network security. Legacy Systems Create Modern Risks [16:00]Integrating old technologies with new networks opens up significant security gaps, as outdated protocols are not designed for today’s threats. Proactive Security Over Reactive Patching [15:01]The industry often relies on patching vulnerabilities as they arise, but Min advocates for addressing root causes to prevent issues before they occur. Amyna Systems’ Revolutionary Approach [25:12]Amyna Systems has developed patented technology that detects and remediates anomalies within seconds, providing a new layer of defense for modern networks. Quote of the Show (24:29):“You have to be constantly learning. You have to be constantly trying to discover something, and it’s always fascinating to see what’s there.” – Min Kyriannis Join our Anti-PR newsletter where we’re keeping a watchful and clever eye on PR trends, PR fails, and interesting news in tech so you don't have to. You're welcome. Want PR that actually matters? Get 30 minutes of expert advice in a fast-paced, zero-nonsense session from Karla Jo Helms, a veteran Crisis PR and Anti-PR Strategist who knows how to tell your story in the best possible light and get the exposure you need to disrupt your industry. Click here to book your call: https://info.jotopr.com/free-anti-pr-eval Ways to connect with Min Kyriannis: LinkedIn: https://www.linkedin.com/in/mkyri Company Website: https://amyna.io/ How to get more Disruption/Interruption: Amazon Music - https://music.amazon.com/podcasts/eccda84d-4d5b-4c52-ba54-7fd8af3cbe87/disruption-interruption Apple Podcast - https://podcasts.apple.com/us/podcast/disruption-interruption/id1581985755 Spotify - https://open.spotify.com/show/6yGSwcSp8J354awJkCmJlDSee omnystudio.com/listener for privacy information.

December 2025 Sustainable Stock and ETF Picks. Covers America's most responsible companies, AI infrastructure and renewable energy stocks, and more. By Ron Robins, MBA Transcript & Links, Episode 162, December 19, 2025 Hello, Ron Robins here. Welcome to my podcast episode 162, published on December 19, 2025, titled "December 2025 Sustainable Stock and ETF Picks." This podcast is presented by Investing for the Soul. Investingforthesoul.com is your go-to site for vital global, ethical, and sustainable investing mentoring, news, commentary, information, and resources. Remember that you can find a full transcript and links to content, including stock symbols and bonus material, on this episode's podcast page at investingforthesoul.com/podcasts. Also, a reminder. I do not evaluate any of the stocks or funds mentioned in these podcasts, and I don't receive any compensation from anyone covered in these podcasts. Furthermore, I will reveal any investments I have in the investments mentioned herein. I have a great crop of 8 articles for you in this podcast! Note: Some companies are covered more than once. ------------------------------------------------------------- December 2025 Sustainable Stock and ETF Picks (1) In this edition, I'm starting with a ranking of responsible companies. It's titled America's Most Responsible Companies 2026 on rankings.newsweek.com. It's by Newsweek and Statista. Here are some quotes from the introduction by Jennifer H. Cunningham. "According to a study by The Roundup, 84 percent of customers say that they are deterred from companies with poor environmental practices, and 62 percent 'always or often' specifically look for products that are sustainable. That is why Newsweek is proud to partner with Statista for the seventh time to present America's Most Responsible Companies 2026, highlighting 600 companies that are taking action each day to uphold their social responsibility.  This ranking is built on an evaluation of company CSR/ESG or sustainability reports, financial reports, history of lawsuits and 2024 top polluter indexes from the Political Economy Research Institute. Additionally, over 30 KPIs were researched from the three areas of ESG—environmental, social and governance performance. Companies included in this ranking are American Tower (AMT), Ingersoll Rand (IR), Las Vegas Sands (LVS), NVIDIA (NVDA), and Tapestry (TPR )." End quotes The top five companies in the ranking are NVIDIA (NVDA), Mastercard (MA), Palo Alto Networks (PANW), Ecolab (ECL), and T-Mobile (TMUS). ------------------------------------------------------------- December 2025 Sustainable Stock and ETF Picks (2) As renewable energy companies make gains, this article reviews some top companies in the sector. The article is titled Top 7 companies offering digital transformation solutions for renewable energy on azbigmedia.com. It's by Eric Kelly. Here are some of his comments. "1. DXC Technology (DXC) builds Distributed Energy Resource Management Systems – DERMS for short. What that means in plain English: software that can juggle thousands of solar panels, wind turbines, and batteries at once. Their renewable energy digital services do real-time forecasting and balancing. When a cloud covers a solar farm, the system already knows and has adjusted before anyone notices a flicker. They use predictive analytics to figure out what's going to happen hours or days ahead, which matters when you're trying to keep the lights on for millions of people. 2. Siemens Energy (ENR.DE) Their Omnivise Digital Solutions covers pretty much everything – from the moment you build a power plant to the day you tear it down decades later. They make distributed control systems that pull data from every sensor, every turbine, every transformer, and show it all in one place. What's interesting is their edge computing for substations. Instead of sending all data to some central cloud and waiting for instructions, the processing happens right there on-site. Milliseconds matter when you're managing a grid. Siemens is also deep into green hydrogen tech. They're working on projects in over 100 countries and their equipment generates about half the world's electricity. 3. Schneider Electric (SU.PA) built EcoStruxure. It connects hardware, software, and services to optimize energy use in buildings, factories, and grids. Their new One Digital Grid Platform uses AI to manage planning, operations, and asset management all in one place. The AI automatically catches when the digital model of a grid doesn't match reality – like when someone forgot to update the system after installing new equipment. Sounds simple, but that kind of mismatch causes real problems. 4. ABB (ABBNY) make robotic systems for manufacturing solar panels, complete instrumentation packages for solar and wind plants, and the smart grid systems that tie it all together. Their battery storage solutions are particularly interesting. BESS-as-a-Service means companies can use battery systems without buying them outright. For industrial users trying to cut electricity costs during peak hours, that's huge. You get energy independence without the capital expenditure. ABB supplies converters for the world's biggest offshore wind farms and generators for hydroelectric plants. 5. GE Vernova (GEV) is the spinoff from General Electric that focuses purely on power generation and grid management. They generate about 25% of the world's electricity through their installed base of 2200 GW worth of equipment.  Their Grid Orchestration Software uses AI to predict demand, optimize energy flow, and integrate all those distributed resources we keep talking about. Their Advanced Asset Performance Management system pulls data from information systems, operational systems, and engineering models to help people make faster decisions. GE Vernova partnered with Amazon Web Services to accelerate cloud migration and bring generative AI into energy infrastructure. 6. IBM Energy and Utilities (IBM) brings Watson and AI expertise to energy. Their Maximo platform manages assets, and Watson handles the heavy data analytics. They're using AI to forecast renewable energy production, optimize maintenance schedules, and manage distributed resources. IBM is also experimenting with quantum computing for modeling complex energy systems. Their blockchain platforms enable peer-to-peer energy trading – imagine selling excess solar power from your roof directly to your neighbor. They build digital twins that simulate how turbines, transformers, and entire grids will behave under different conditions. 7. Accenture (ACN) isn't selling hardware or software directly. They're consultants who help energy companies figure out their entire digital transformation strategy. Sometimes the problem isn't technology – it's knowing which technology to use and how to implement it without disrupting your business. They work with industry leaders on IoT, Big Data, AI, and cloud solutions. Their approach covers operational excellence, asset management, customer experience, and decarbonization. Renewable energy digital services from Accenture include predictive maintenance for wind and solar farms, platforms for managing virtual power plants, and real-time carbon emission monitoring. They also help companies integrate ESG principles into operations and reporting." End quotes. ------------------------------------------------------------- December 2025 Sustainable Stock and ETF Picks (3) This next article is titled Zacks Industry Outlook Highlights Bloom Energy, OPAL Fuels and FuelCell on finance.yahoo.com. It's by Zacks Equity Research. Now, some quotes from the article. "1. FuelCell Energy (FCEL) Based in Danbury, CT, the company makes ultra-clean, highly efficient power plants that can run on fuels like renewable biogas and natural gas, producing electricity with far less pollution and fewer greenhouse gas emissions than conventional fossil-fuel plants. In September 2025, the company announced its fiscal third-quarter results. The company reported a loss of 95 cents per share, which improved 45% year over year. The company's top line also improved 97% year over year to $46.74 million. The Zacks Consensus Estimate for FuelCell Energy's fiscal 2026 sales implies an improvement of 21.5% year over year. The consensus estimate for fiscal 2026 earnings implies 51.3% growth year over year. The company currently carries a Zacks Rank #2 (Buy). 2. OPAL Fuels (OPAL) Based in New York, the company is a vertically integrated renewable fuels platform involved in the production and distribution of renewable natural gas for the heavy-duty truck market. During the third quarter, the company produced renewable natural gas of nearly 1.3 million Metric Million British Thermal units (MMBtu), which was up 30% year over year. The Fuel Station Services segment sold, dispensed, and serviced an aggregate of 38.9 million GGEs of transportation fuel for the three months ended Sept. 30, 2025, reflecting an increase of 1% year over year. The Zacks Consensus Estimate for the company's 2025 sales implies an improvement of 21.8% from the previous year's reported figure. The estimate for 2025 earnings implies 128.6% growth from the previous year's reported figure. The company currently carries a Zacks Rank #2. 3. Bloom Energy (BE) Based in San Jose, CA, the company generates and distributes renewable energy. On Oct. 28, 2025, Bloom Energy announced its third-quarter results. It reported earnings of 15 cents per share against a loss of a cent in the year-ago quarter. The company's top line also improved 57.3% year over year to $519 million. The Zacks Consensus Estimate for 2025 sales implies an improvement of 28.6% from the previous year's reported figure. The consensus estimate for 2025 earnings implies 92.9% growth from the previous year's reported figure. The company currently carries a Zacks Rank #3 (Hold)." End quotes. ------------------------------------------------------------- December 2025 Sustainable Stock and ETF Picks (4) This final review article makes a bold prediction on an AI infrastructure stock. The article is titled Prediction: This AI Infrastructure Stock Could Hit a $500 Billion Valuation by 2032 on fool.com and is by Thomas Niel. Here are some quotes from Mr. Neil's article. "Arista Networks (ANET) A top provider of cloud networking solutions for end-users such as AI data centers, the company has already benefited greatly from this trend. Already a strong performer over the past five years, its shares may be in for further outsized price appreciation in the years ahead, as the AI growth trend persists. How Arista benefits from the AI buildout Arista Networks has been in business for over 20 years, becoming a billion-dollar business around 10 years ago. Still, it's only been over the past three years that the company experienced a sustained growth resurgence. The reason for this is hardly a mystery. In late 2022, ChatGPT launched, sparking the start of the genAI growth trend. Soon after, tech companies, especially the largest names in the space, began to deploy hundreds of billions of dollars into building out their AI infrastructures. With this booming surge in demand, it's no surprise that Arista Networks has benefited from a big jump in demand for networking hardware, like switches and routers, as well as the software used to power them… This rapid revenue growth has brought with it a correspondingly high rate of earnings growth… Next stop $500 billion? It's possible At current prices, Arista Networks has a market cap of around $161.3 billion. To reach a $500 billion market cap and a share price of around $400 within six years, at a minimum, Arista will need to sustain 20% annualized growth… The bottom line for new or existing Arista Networks investors Currently, Arista has a forward price-to-earnings (P/E) ratio of just under 40. In the years ahead, even if annual growth stays around 20%, shares could experience a slight de-rating as investors anticipate a growth slowdown over a longer time frame… Rather than entering or adding to a position at any price, you may want to wait for renewed worries about an AI bubble or whitebox competition to create new buy-the-dip situations." End quotes. ------------------------------------------------------------- More articles from around the world with Sustainable Investment Picks for December 2025. 1. Title: Sustainability ETFs Still Shining Despite Investor Pullback. Here are the 4 Largest on thedailyupside.com. By Kiran Aditham. 2. Title: Better AI Infrastructure Stock: Nebius Group vs. Iren Limited on fool.com. By Patrick Sanders. 3. Title: FCEL vs. BE: Which Hydrogen Power Stock Has Better Potential for Now? On nasdaq.com. By Jewel Saha for Zacks. 4. Title: EQR Named A Top Socially Responsible Dividend Stock on nasdaq.com. By BNK Invest. ------------------------------------------------------------- Ending Comment These are my top news stories with their stock and fund tips for this podcast, "December 2025 Sustainable Stock and ETF Picks." Please click the like and subscribe buttons wherever you download or listen to this podcast. That helps bring these podcasts to others like you. And please click the share buttons to share this podcast with your friends and family. Let's promote ethical and sustainable investing as a force for hope and prosperity in these tumultuous times! Contact me if you have any questions. I wish you a wonderful time over the holidays and a terrific and prosperous 2026! Thank you for listening. My next podcast will be on January 23rd. See you then. Bye for now   © 2025 Ron Robins, Investing for the Soul

In this episode of Rethink Retail, host Martin Bailie is joined by Jerome Hamrit, Senior Vice President for Data and Retail Media at VusionGroup, and Thaddeus Segura, Senior Vice President for Product at VusionGroup, to explore the evolution of the connected store. What you'll learn in this episode: - Why store digital transformation is fundamentally different from e-commerce transformation - How real-time data from ESLs, computer vision, IoT sensors, and transactional systems creates a “live store” - Why platform thinking and system integration matter more than adding new devices - How Walmart and Carrefour approached connected store infrastructure at scale - The shift from “interesting technology” to essential retail capability - What “precision commerce” means and why it represents the future of retail execution - How connected stores unlock value for retailers, store teams, and brands through better execution, productivity, and monetization

In this special episode, host Cindi Howson pulls together the most useful, and hard-won, lessons from a year of conversations with Data Chiefs leading the GenAI charge. With generative and agentic AI no longer a side experiment, this episode spotlights five practices early adopters can rely on to move from pilots to profit. Expect straight talk on what to prioritize, how to bring people with you, and how to scale AI with the trust, literacy, and guardrails that make impact stick.Key Moments:Tying AI to Real Dollars with Anand Iyer, Ecolab (02:10): Anand cuts through the GenAI FOMO and brings everything back to a simple survival test: if you can't draw a straight line from an AI initiative to top-line growth or bottom-line savings, it won't last. His lesson is a sharp reminder that “cool” doesn't scale, value does. Leading Through Ambiguity with Karen Stroup, WEX (06:01): Karen names what everyone's feeling: ambiguity is paralyzing. She explains how leaders earn trust by shrinking the unknown into learnable, bite-sized experiments and creating the psychological safety people need to engage instead of resist.Building Practical AI Literacy at Scale with Josh Cunningham, Lloyds Banking Group (12:42):  Josh shares how Lloyds Banking Group makes literacy impactful by meeting people where they are. Rather than one-size-fits-all training, they pair broad fundamentals with role-specific learning so every business unit can build confidence in ways that match their actual work. Scaling Responsible Agentic AI with Noelle Russell, AI Leadership Institute (25:09): Noelle steps in with a practical framework for building agentic systems that don't go rogue. She walks through the POET framework and stresses that responsible AI isn't a final checkpoint. It's something you embed from the first idea to production, with guardrails that protect people and outcomes.Embedding AI Where Work Happens with Ilan Twig, Navan (32:35): Ilan tells a classic early-adopter story: start with a business problem, move fast, and be ruthless about what needs building versus buying. His lesson is that AI wins when it's inside the workflow, supporting decisions at the point of impact rather than living in a separate tool. Don't Let Perfection Stall Progress with Ketan Karkhanis, ThoughtSpot (40:59): Ketan shares a culture gut-check: waiting for perfect metrics, perfect KPIs, or perfect clarity is how progress dies. He argues for visible, trust-building iteration, because in AI, speed to learning beats speed to certainty. Key Quotes:“One thing that people sometimes forget is that at the end of the day, it's all about are we either saving money or making money? And are you able to show that in the bottom line or the top line in a measurable way?” - Anand Iyer“I don't think there's any chief anything officer that should not be considering AI today. I think if you're not considering AI, you are at the risk of being disrupted because you're not going to be learning at the pace with the rest of the industry, and there's someone out there looking for a better way.” - Karen Stroup“It's trying your best to meet people where they are… Finding a way to anchor the [AI] learning to something that's relevant to their day-to-day role is always going to make it land better.” - Josh Cunningham“ When people lose 70% of their trust in you, they just don't buy from you, they don't work for you, they don't talk about you… and your business starts to die. I think that trust component is a human component… and it is underpinning all the other philosophies that I have.” - Noelle Russell“When you asked me about how to educate yourself on AI, I think that companies must make a decision, and quickly, this or that.” - Ilan Twig“ Don't let perfection be the enemy of progress.” - Ketan KarkhanisGuest Bios Anand IyerAnand Iyer is the SVP, Chief Data Officer at Ecolab, where he leads the company's global data and analytics strategy. Based in Mechanicsburg, Pennsylvania, he oversees enterprise data governance, business intelligence, engineering, and advanced analytics to accelerate Ecolab's digital transformation. Since joining in 2018, Anand has held several senior roles, including VP of Enterprise Architecture and VP of Architecture for Commercial Digital Solutions, helping to scale IoT and data-driven platforms across the organization.Karen StroupKaren joined WEX in 2022 as Chief Digital Officer, a newly created role. She brings more than 15 years of experience leading product management, digital, and innovation organizations focused on software as a service offerings, primarily in financial services.Josh CunninghamJosh Cunningham is the Group Head of Data and AI Culture at Lloyds Banking Group, where he leads the Data Culture Pillar—one of five strategic pillars in the Group's data strategy. He is focused on embedding data-driven mindsets across the organization and empowering teams to unlock the full value of data.Noelle RussellNoelle Russell is a multi-award-winning speaker, author, and AI Executive who specializes in transforming businesses through strategic AI adoption. She is a revenue growth + cost optimization expert, 4x Microsoft Responsible AI MVP, and named the #1 Agentic AI Leader in 2025. She has led teams at NPR, Microsoft, IBM, AWS and Amazon Alexa, and is a consistent champion for Data and AI literacy and is the founder of the "I ❤️ AI" Community teaching responsible AI for everyone.Ilan TwigIlan Twig is the co-founder and Chief Technology Officer (CTO) of Navan, the leading modern travel and expense management platform, globally. As CTO, Ilan drives Navan's product development and engineering efforts, leveraging cutting-edge technologies — including AI — to enhance user experience and operational efficiency. Ketan KarkhanisKetan Karkhanis is the CEO of ThoughtSpot, the Agentic Analytics Platform company. Prior to joining the company in September 2024, Ketan was the Executive Vice President and General Manager of Sales Cloud at Salesforce. He returned to Salesforce in March 2022 after his time as the COO of Turvo, an emerging supply-chain collaboration platform.  Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

Peggy celebrates 950 episodes by taking a walk down memory lane. She shares the evolution of M2M, the IoT (Internet of Things), and AI (artificial intelligence), saying the IoT has matured from gadget hype to industrial backbone. She also discusses: · The peaks and the fads through almost two decades. · The explosion of AI in recent years. · Where we are today—and what comes next. https://peggysmedleyshow.com

In this episode of the IoT For All Podcast, Barry Libert, Chairman and CEO of HiveMQ, joins Ryan Chacon to discuss moving past the pilot phase in industrial IoT and AI. The conversation covers viewing businesses as data streaming entities, the importance of understanding one's data collection processes, aligning different tiers of employees to achieve success, the shift from connectivity to AI data platforms, the role of agentic workflows, and the type of leadership required to navigate the evolving landscape of data and AI.Barry Libert is the Chairman and CEO of HiveMQ. He has spent 40+ years as a board member, CEO, and serial entrepreneur. He founded and exited several businesses, advised more than 350 CEOs, and served on more than 35 boards in his career. Most recently, Barry transformed Anaconda into a unicorn, adding $100M in new ARR in 18 months based on a proprietary open- source/open-core commercialization GTM playbook he co-designed and implemented.Barry is focused on AI platforms with network effects and data moats. He has co-authored 6 books, 20+ ebooks, and 500+ articles in the WSJ, NYT, HBR, MIT, and Forbes. He has appeared on CNN, CNBC, Fox, NPR, and delivered 500+ speeches to 250,000+ people globally. Barry began his career with McKinsey & Company, was a managing director of John Hancock's $2B Real Estate Equity arm, and was a partner at Arthur Andersen. Barry is a graduate of Tufts University (BA) and Columbia University (MBA).HiveMQ is the Industrial AI Platform helping enterprises move from connected devices to intelligent operations. Built on the MQTT standard and a distributed edge-to-cloud architecture, HiveMQ connects and governs industrial data in real time, enabling organizations to act with intelligence. With proven reliability, scalability, and interoperability, HiveMQ provides the foundation industrial companies need to operationalize AI, powering the next generation of intelligent industry. Global leaders including Audi, BMW, Eli Lilly, Liberty Global, Mercedes-Benz, and Siemens trust HiveMQ to run their most mission-critical operations.Discover more about IoT and AI at https://www.iotforall.comFind IoT solutions: https://marketplace.iotforall.comMore about HiveMQ: https://www.hivemq.comConnect with Barry: https://www.linkedin.com/in/barrylibert/Subscribe on YouTube: https://bit.ly/2NlcEwmJoin Our Newsletter: https://newsletter.iotforall.comFollow Us on Social: https://linktr.ee/iot4all

In this episode, Jeff and Luca tackle the unique challenges faced by solo embedded developers. Drawing from their own experiences as consultants, they explore why working alone makes it harder to maintain good development practices - from the constant pressure to multitask across different stakeholder demands, to the difficulty of wearing multiple hats as leader, manager, and contributor simultaneously.The conversation moves through common pitfalls: skipping documentation because "it's all in my head," letting code reviews slide, making questionable architecture decisions without a sounding board, and neglecting tools like simulators under time pressure.But this isn't just a catalog of problems - Jeff and Luca share practical strategies for staying disciplined, from creating mastermind groups with fellow solo developers to strategically hiring third-party reviewers for architecture decisions. They discuss how to push back on arbitrary deadlines, the value of enforcing process on yourself, and why sometimes the best productivity hack is spending money on training to force yourself to sharpen your skills.Whether you're a solo consultant, the only developer at a startup, or part of a small team, this episode offers honest insights into maintaining quality and sanity when you're working largely on your own.Key Topics[00:00] Introduction: Can you do agile as a solo developer?[03:30] First principles of agile development and why they work for solo developers[06:15] Unique difficulties: Making progress in only one area at a time[10:45] Wearing three hats: Being leader, manager, and contributor simultaneously[15:20] Budget pressure and the challenge of 'nice to haves' that actually matter[22:30] The importance of delivering something palpable after the first sprint[28:00] Bad habit #1: No documentation because 'it's all in my head'[35:45] Bad habit #2: No code reviews and potential solutions[40:15] Using LLMs for code review: What works and what doesn't[44:30] Bad habit #3: Idiosyncratic or terrible code architecture[50:00] Bad habit #4: Not making it easy for other developers to take over[53:20] Bad habit #5: Neglecting simulators and development board support[57:00] Breaking bad habits: Working solo together through mastermind groups[62:30] Enforcing process on yourself and recognizing arbitrary deadlines[67:45] Applying agility to agility: Inspecting and adapting your own process[71:00] Sharpening the axe: Jeff's experience with the Embedded SummitNotable Quotes"When you're a solo developer, you have to be the leader, the manager, and the contributor for the software effort. Those are different roles and different skills." — Jeff"You must apply agility to agility. Inspect your process, figure out what works, what doesn't work. If something is annoying to you, either it's pointing you towards a real deficiency or it's just objectively a terrible process and you should change it." — Luca"It's really scary how effective rubber duck debugging is. You start to think of what the other person would answer, even though you're just talking to a rubber duck." — Jeff"Simple and easy are not the same things. Having good development practices, just like losing weight, is simple. It's just not easy." — Jeff"Dear listeners, have you ever paid with your own money for software development? Because I have. And it's really unnerving. You tell this developer to go do something and they just sort of disappear and you can hear the meter running." — LucaResources MentionedQP Real-Time Framework - Event-driven framework by Miro Samek for embedded systems, mentioned as a game-changing architecture choice for medical device development with active object patterns and hierarchical state machinesZephyr RTOS - Open-source real-time operating system for embedded devices, discussed as an important technology for solo developers to master for modern IoT and connected device projectsEmbedded Online Conference / Embedded Summit - Premier embedded systems conference offering both online and in-person training, including hands-on bootcamps for technologies like Zephyr RTOS, organized by Jacob Beningo and Stephane BoucherAgile Embedded Academy - Luca's newly launched training platform focused on applying agile methodologies specifically to embedded systems development, offering practical courses for embedded teamsFDA Software Documentation Requirements - Regulatory documentation standards for medical device software including requirements specifications, architecture documents, detailed design, and test protocols required for FDA submissionsMob Programming Methodology - Collaborative development approach where entire team works on single task together, referenced as an alternative to traditional multitasking, promoted by Austin Chadwick and Chris You can find Jeff at https://jeffgable.com.You can find Luca at https://luca.engineer.Want to join the agile Embedded Slack? Click hereAre you looking for embedded-focused trainings? Head to https://agileembedded.academy/Ryan Torvik and Luca have started the Embedded AI podcast, check it out at https://embeddedaipodcast.com/

Scott and Wes chat with YouTuber and security consultant Matt Brown about breaking into IoT devices, extracting firmware, and decoding the hidden tech inside everyday gadgets. Matt shares his methods, the legal boundaries, and the wild stories behind his most interesting hacks. Show Notes 00:00 Welcome to Syntax! 01:21 Curiosity in Hacking 03:28 Understanding IoT Devices 07:15 Brought to you by Sentry.io. 07:40 Linux vs Microcontrollers 10:11 UART Console Access 13:56 Firmware Extraction Techniques 14:19 Guessing Usernames and Passwords 19:22 Extracting Password Hashes 23:15 Legal Considerations in Hacking 30:06 Where does the inspiration come from? 31:20 Using Logic Analyzers 37:45 CAN Protocol in Automotive 45:42 Influence of Lewis Rossman 54:05 Sick Picks & Shameless Plugs Sick Picks Matt: Key Person of Influence Shameless Plugs Matt:Matt Brown on YouTube, Brown Fine Security Hit us up on Socials! Syntax: X Instagram Tiktok LinkedIn Threads Wes: X Instagram Tiktok LinkedIn Threads Scott: X Instagram Tiktok LinkedIn Threads Randy: X Instagram YouTube Threads

Rose Anne Damilig is Co-Founder at AquaCray Tech.AquaCray Tech is a smart monitoring system designed to ensure optimal water conditions in crayfish habitats using advanced IoT technology, equipped with sensors for temperature, pH, and water levels, and providing real-time tracking and an interactive user interface for efficient farm management, thereby enhancing sustainability, reducing labor-intensive monitoring, and promoting healthier conditions for crayfish growth and productivity for small-scale farmers, researchers, hobbyists, and aquarists.This episode is recorded live at MINSU i-BIBES, technology business incubator of Mindoro State University in Victoria, Oriental Mindoro. This episode is also in partnership with plip.ph Connected Communities.In this episode:00:00 Introduction01:09 Ano ang AquaCray Tech?03:23 What problem is being solved? 07:15 What solution is being provided? 14:16 What are stories behind the startup? 23:56 What is the vision? 27:26 How can listeners find more information?MINSU I-BIBESWebsite: https://minsuibibes.comFacebook: https://facebook.com/MINSUiBIBESPLIP.PHWebsite: http://plip.phFacebook: https://facebook.com/plip.phTHIS EPISODE IS CO-PRODUCED BY:Yspaces: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://knowyourspaceph.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apeiron: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://apeirongrp.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Twala: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twala.io⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Symph: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://symph.co⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Secuna: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://secuna.io⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠MaroonStudios: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://maroonstudios.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AIMHI: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://aimhi.ai⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠CompareLoans: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://compareloans.ph⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠CHECK OUT OUR PARTNERS:Ask Lex PH Academy: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://asklexph.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ (5% discount on e-learning courses! Code: ALPHAXSUP)Argum AI: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://argum.ai⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠PIXEL by Eplayment: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://pixel.eplayment.co/auth/sign-up?r=PIXELXSUP1⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ (Sign up using Code: PIXELXSUP1)School of Profits: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://schoolofprofits.academy⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Founders Launchpad: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://founderslaunchpad.vc⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Hier Business Solutions: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://hierpayroll.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Agile Data Solutions (Hustle PH): ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://agiledatasolutions.tech⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Smile Checks: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://getsmilechecks.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠CloudCFO: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://cloudcfo.ph⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ (Free financial assessment, process onboarding, and 6-month QuickBooks subscription! Mention: Start Up Podcast PH)Cloverly: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://cloverly.tech⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠BuddyBetes: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://buddybetes.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠HKB Digital Services: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://contakt-ph.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ (10% discount on RFID Business Cards! Code: CONTAKTXSUP)Hyperstacks: https://hyperstacksinc.comOneCFO: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://onecfoph.co⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ (10% discount on CFO services! Code: ONECFOXSUP)UNAWA: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://unawa.asia⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Wunderbrand: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://wunderbrand.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠DVCode Technologies Inc: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://dvcode.tech⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠NutriCoach: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://nutricoach.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Uplift Code Camp: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://upliftcodecamp.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ (5% discount on bootcamps and courses! Code: UPLIFTSTARTUPPH)START UP PODCAST PH⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠Patreon: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://patreon.com/StartUpPodcastPH⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠PIXEL: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://pixel.eplayment.co/dl/startuppodcastph⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Website: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://phstartup.online⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Edited by: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://tasharivera.com⁠⁠⁠⁠

Join Durlabh Jain, CEO of CoolR Group Inc., in a high-impact conversation with Gary Fowler as they break down how AI, automation, and IoT are reinventing retail execution for global CPG companies. Discover what it really takes to build hardware-plus-SaaS solutions that work reliably in the field — not just in demos.

professorjrod@gmail.comIn this episode of Technology Tap: CompTIA Study Guide, we explore the fascinating evolution of technology from the launch of Sputnik in 1957 to the ubiquitous smartphones of today. Discover how early innovations like ARPANET laid the groundwork for the internet, shaping the landscape of technology education and IT skills development. Whether you're part of a study group preparing for your CompTIA exam or seeking expert IT certification tips, this episode provides valuable insights into the origins of the digital world and how it influences modern tech exam prep. Join us as we connect the dots between history and today's technology challenges to help you succeed in your IT certification journey.We start with Licklider's prophetic vision and the leap from circuit switching to packet switching that made failure-tolerant networks possible. Email gives the net its first social heartbeat. TCP/IP stitches islands into one internet. Tim Berners-Lee's simple stack—HTML, HTTP, URLs—opens the door for everyone. The home dial-up era arrives, and the browser becomes the interface of daily curiosity. Mosaic and Netscape ignite innovation; Microsoft's bundling forces a reckoning; Mozilla and later Chrome reshape standards and speed for the modern era.The dot‑com bubble teaches hard lessons, but Google's PageRank reframes the problem: organize the world's information with relevance, not clutter. Broadband and Wi‑Fi make the net always on, enabling streaming, online gaming, and richer apps. Napster breaks open music, litigation clamps down, and then paid streaming wins on convenience. Social networks shift the center of gravity from pages to people; YouTube turns everyone into a publisher and archivist. E‑commerce perfects logistics, and smartphones put it all in your hand. The cloud becomes the engine behind Netflix, Uber, TikTok, and the systems that silently scale our daily tools.We confront the dark side, too: ransomware, botnets, data breaches, and insecure IoT devices that expand the attack surface. Algorithms now shape what we see and believe, while fiber backbones and 5G push speed and density to new highs. AI becomes the thinking layer of the internet, interpreting, recommending, and generating content at scale. A rising push for decentralization—blockchains, IPFS, self-sovereign identity—seeks to return control to users and reduce dependence on gatekeepers. Where does it all go from here? From ambient computing to satellite constellations and new interfaces, the net may soon fade into the background—omnipresent and invisible.If you enjoyed this deep dive, follow the show, share it with a friend who loves tech history, and leave a quick review so more curious listeners can find us. Your support helps us keep exploring the stories that built our digital world.Support the showArt By Sarah/DesmondMusic by Joakim KarudLittle chacha ProductionsJuan Rodriguez can be reached atTikTok @ProfessorJrodProfessorJRod@gmail.com@Prof_JRodInstagram ProfessorJRod

How much money has water damage cost your owners? How much time and money could you save if you were able to detect issues within a property before they became a larger problem?  In this episode of the #DoorGrowShow, property management growth expert Jason Hull sits down with Nadav Schnall to explore how innovative water and gas leak detection systems are transforming residential property management and to share how these technologies can prevent costly damage, protect tenants, and streamline maintenance operations for property managers. You'll Learn [1:14] Nadav Schnall's Background in Property Management [05:06] Innovative Solutions for Leak Detection [11:07] Understanding the Technology Behind Pro Sentry [17:25] Implementing Smart Detection Systems Quotables "If something goes unchecked, somebody's out of town, there's a water leak, I mean, it can just do massive damage." "The responsibility of a property manager is to make sure the building is operating properly, to make sure it's operating efficiently, to mitigate damages, to mitigate risks." "Time is of the essence when something like this happens." Resources DoorGrow and Scale Mastermind DoorGrow Academy DoorGrow on YouTube DoorGrowClub DoorGrowLive Transcript Nadav Schnall (00:00) No need for displacement, no need to wake up in the middle of the night, come back to a flooded home. So we can solve all that   Jason Hull (00:05) All right. Welcome everybody. I am Jason Hull, the founder and CEO of DoorGrow, the world's leading and most comprehensive coaching and consulting firm for long-term residential property management entrepreneurs. For over a decade and a half, we have brought innovative strategies and optimization to the property management industry. We have spoken to thousands of property management business owners, coached, consulted, and cleaned up hundreds of businesses.   helping them add doors, improve pricing, increase profits, simplify operations. And we run the leading property management mastermind with more video testimonials and reviews than any other coach or consultant in the industry. At DoorGrow, we believe that good property managers can change the world and that property management is the ultimate high trust gateway to real estate deals, relationships, and residual income. We are on a mission to transform property management business owners and their businesses. We want to transform the industry.   eliminate the BS, build awareness, change perception, expand the market, and help the best property management entrepreneurs win. Now, let's get into the show. Today, my guest is Nadav Schnall. Welcome, Nadav   Nadav Schnall (01:14) Thank you for having me, Jason.   Jason Hull (01:15) All right, so your company is called ProSentry. We're going to be getting into that. But before we chat about our topic today, which is protect, prevent, perform smart leak detection for modern property managers, tell us a little bit about your background, how you got into entrepreneurism and what finally led you.   Nadav Schnall (01:33) Sure, happy to provide some background. So my background is actually in property management. I was a property manager for about a decade for First Service Residential in New York City. I had their kind of luxury.   group or luxury division. So I did a lot of consulting for developers and lot of property management, opening buildings, know, placing staff, making sure buildings kind of transition from construction to operation. So that was really the lion's share of my background as it relates to property management. Then I went into and opened another company that had to do with the service industry, kind of fire suppression systems, mechanicals, kind of the   the heart of a building, so to speak. And that led me to connect with my co-founder and business partner, John Russ, who is a builder in New York City. I've known him for probably about 15 years. And we came together to do this idea. So really very much so kind of experiencing firsthand.   what we are trying to solve and that's kind how I got into the world of entrepreneurship and into the world of ProSentry   Jason Hull (02:35) Got it. All right. Thanks for the background. So you're an expert. This is your bio, an expert in smart building monitoring. We're going to chat about exploring how innovative water and gas leak detection systems are transforming residential property management and maybe share how these technologies can prevent costly damage, protect tenants, streamline maintenance operations for property managers from boosting safety to increasing operational efficiency.   And in today's episode, you'll get to learn how smart monitoring is reshaping the way you care for your properties and your bottom line. So cool. I'm excited to get into this. So, so now, Nadav, where, where do we start?   Nadav Schnall (03:15) Well, we can probably start in property management. And I can tell you how many times I would wake up in the morning and I'd be checking my phone and then find that I have emails from last night that there was a leak in the building or my super calling me at two o'clock in the morning saying, hey, we had a flood or someone, there was a construction going on and someone left a window open and some pipe froze.   Jason Hull (03:19) Okay.   Nadav Schnall (03:42) And so that's kind of where it started for me, kind of really looking into these operational issues, which in today's day and age with technology, you are able to solve. And so that's where the journey started for me is really trying to look at properties and saying, how can we help common day-to-day occurrences? More so you look at the insurance industries and that's one of the...   biggest pluses that we try to bring to the table is trying to helping buildings with insurance. Water leaks are non-weather related water leaks are typically the top three causes for insurance claims.   And many times it's the number one reason for insurance claims. And so you look at these things and you're saying, there is technology out there. There is ways to substantially reduce that. How do we do that, improve the day-to-day work of property managers?   reduce insurance claims for buildings, reduce insurance rates and premiums, and also improve the life of the residents and tenants that live within. No need for displacement, no need to wake up in the middle of the night, come back to a flooded home. So we can solve all that and we focus in the multifamily. That's kind of our main focus.   Jason Hull (04:53) Yeah, Yeah, I mean, if something goes unchecked, somebody's out of town, there's a water leak, I mean, it can just do massive damage. Yeah, so how do we mitigate that?   Nadav Schnall (05:04) Yeah, so I can tell you a little bit about the technology and what we do and how we do it. first of all, traditional systems that existed so far were really based on Wi-Fi, which is a big difference. And they were more geared towards maybe something that you would do for your house or maybe something you would do for your apartment.   But how do you resolve that in a multifamily world, right? Where even if I am the most responsible resident in the building and I put water leak detection and temperature and humidity and maybe gas, you put all detection technologies in your apartment, you can still get leaked on from your apartment above. Something can still happen. And you just said it, right? A resident that may be away. And we have this actually. is an actual...   know, claim that we were able to avoid. In a building, someone, you know, it was a vacant apartment, a realtor came in to show the apartment, walked out to the terrace. It was a classic wintery day. Didn't close the door all the way.   Realtor left, came in, blew the apartment door open and the temperatures started going down and going down and going down. Luckily that building had ProSentry and that building was notified when the temperatures hit about 50 degrees and the resident manager of that building got the notification today that doesn't sound right. Of course, checked the records, found out there was a vacant apartment, ran upstairs, saw that the door was open, was able to close the door, turn on the heat before frozen pipes. But otherwise you would have had frozen pipe and that could have easily knocked out 10 apartments   insurance claims and so on and so forth. So I think that's kind of one of the biggest areas where we can save. And the nice part about that is insurance carriers are starting to recognize us and starting to recognize that we are actually reducing claims inside buildings. We're doing that across the board. We recently did a study across 18 months. We took a bunch of properties and we wanted to see what happened in those properties across an 18 month period.   we alerted those properties to over 6,000 different types of water events, right? Whether it's water or, you know, could be some, some of it can be just be drizzling. Some of could be, you know, a condensate drain and an HVAC unit overflowing, right? So different types of leaks. And then we followed up with the properties. Not one of those buildings and any of those water events resulted in an insured claim.   And so we were able to actually prove to the insurance world that this is a risk mitigative tool and actually the service that we provide, we like to call it risk mitigation as a service. ⁓ And by doing that, we've been able to help several buildings either move from kind of E &S, Excessive Surplus insurance policies over to admitted carriers, which of course are substantially cheaper.   Jason Hull (07:27) Yeah.   Nadav Schnall (07:41) or just simply being able to reduce insurance rates, right? You presented a certain risk before, now you present this risk. And so it can help properties both on the operation side, the maintenance side, but also on the insurance side. And I know I said a lot.   Jason Hull (07:53) Yeah.   No, that's, no, that sounds very fascinating. So I can see how this would be very important. So if the insurance companies are not having to do anything on these claims, then you would think they would be very incentivized to get people to implement this.   Nadav Schnall (08:10) That's 100%. So in New York State, for example, where we have a lot of presidents, especially in New York City, we work with a number of carriers that provide anywhere from, this is on the homeowner side, but anywhere from 3 % up all the way up to 12 % premium reductions.   year over year on your homeowners insurance policy. So if you have a building and let's say there's 100 apartments, if you happen to be insured with one of these insurance carriers, you will receive a discount on your premium year over year. their ROI is right there. And then of course we can help on the underlying building insurance policy as well.   Jason Hull (08:50) Got it, okay. So what are the benefits for the, that's obviously a benefit for the property owner, right? What are the benefits for the property manager?   Nadav Schnall (09:00) So, I mean, the obvious would be peace of mind, right? Because at the end of the day, the responsibility of a property manager is to make sure the building is operating properly, to make sure it's operating efficiently, to mitigate damages, to mitigate risks.   And so the advantages of property managerial, first of all, you're able to see what happens in your entire building. So you'll have a dashboard. You'll be able to see each one of our sensing technologies. And I think we've heavily focused so far on water leak detection and maybe temperature detection, which is really, you know, these are one of our biggest sellers, but we do anything from water to gas to oil leaks, to mechanical malfunctions, environmental issues, even rodents. So we have a lot.   know, thermostat. So we have different types of technologies all surrounded under our platform. And so the property manager will be able to see all these sensing, all these sensors across this entire building on one, on one dashboard. It will substantially reduce damages, right? So from a...   to do share responsibility to the building. is very important, but more so it also gives peace of mind, right? That you know that this apartment or this building or this area, because a lot of our installations are mechanical equipment, right? We have a building that had a couple of leaks coming from the mechanical systems. Every time there was a leak there, it leaked into the elevators. The elevators went out, had to call the elevator company out, had to file another insurance claim. And every time that's there, the amount of time the property managers have to spend   to deal with an incident like this, right? It doesn't only start with mitigating the damage itself. You gotta mitigate the damage, you gotta communicate with all the apartment owners, you gotta let them know what's going on. Then they have repairs, they have to coordinate with contractors, they have to file insurance claims, they have to file reports, they have to talk to their boards or their building owners. So there's a lot there. By installing a system like this, it gives you lot of peace of mind and saves you a lot of time.   Jason Hull (10:46) So less damage, less work for the property manager, less stress in having to deal with frustrated owners, frustrated tenants. Yeah, so win-win all the way around. So you had mentioned a few things that this equipment can send for.   So could you go over all those for us?   Nadav Schnall (11:04) Yeah, sure. It's 100%.   So we have, you maybe I started off a little bit in the beginning, we talked about Wi-Fi, but I really complete that thought. So I can start high level. So.   First of all, what we use is use a technology called LoRaWAN. LoRaWAN stands for long range wide area network. So it's very similar to Wi-Fi in the sense that it is a wireless technology that we can communicate over this wireless network that it creates. But indifferent than Wi-Fi, has a couple of major differences, which is huge for buildings, huge for properties, right? Especially existing buildings where you're trying to retrofit a system, which of course you're very sensitive to, right? Because if you're...   You know, if you're doing property management in a multifamily residential building and you have to access every single apartment, no one wants to like start running electricity or opening walls. It has to be really easy to deploy. You come in and come out under 10 minutes. That's what you're looking to do. So this technology, LoRaWAN, what it does is it is a very strong frequency. So the advantage is it can penetrate brick, mortar, you know.   concrete, steel, whatever, whatever inside a building. And you can use one of these gateways. Gateways are similar to what we would call in the Wi-Fi world as like a router. So you would install one of those every maybe three to six floors, I would say, as opposed to a traditional router where you put it in an apartment, you have one for the entire apartment. The downside to it is that you can stream a lot of data on it.   So it's great for the world of IoT and the world of sensors because you don't have to put on that. You just need to say, what is the temperature? I having a leak? Do I have this or do I have something else? So that is a very, very important advantage that this technology has over traditional systems, which rely on Wi-Fi. The other big thing it has is that it's extremely energy efficient. So each one of our sensors will last for about 10 years on battery life. Whereas traditional Wi-Fi systems, probably have to replace the battery once a year, once every two years, depending on the system.   As far as our offering, so we have different liquid sensing technology, so oil and water. We also have gas detection. And for example, in New York City, they passed a law which was now tabled again, but they passed a law called Local Law 157. Every, you know,   apartment or building in New York City that had gas, had to have gas detection. So we were able to help those buildings as well. And so buildings that already had our system had to now comply with a new law, easily just put it on the system, no problem. Temperature humidity, we spoke about. We have rodents. We have different types of sensing. For example, if you want to see the levels of different tanks. So for example, you have a big water storage tank or you want to know what the capacity is of trash or different. So we have devices that can sense distance.   different sensors for different types of mechanical equipment to see where they go, what the status is, are they operating, are they not, are they in movement? Steam traps, we can tell you if a stream trap open. So there's a lot of stuff there. And I think one of the unique parts about ProSentry is that both me and my business partner, John, really come from the world.   And so we meet with supers, we meet with property managers and they say, hey, you know, I really want to understand how I can better see this or how I can do that. And that's what we developed. And so we go out and we figure out what sensing to cloud booth exists for the world and we customize them for the buildings themselves.   Jason Hull (14:15) Got it. Is this system also tie into some of the other sort of catastrophes besides water, like fire, smoke? ⁓   Nadav Schnall (14:23) So   we have a smoke and vape detector, but it is not what you would call your traditional carbon-fiber monoxide type of sensor. And that is because, first of all, it's a very saturated market. There's a lot of companies out there that provide. We have the ability to interface into it. It was just a conscious choice not to get into that yet.   Jason Hull (14:38) Yeah.   Nadav Schnall (14:47) Just because you know, it's more of a niche market and that's more of a very wide market. There's also a lot of regular   Jason Hull (14:52) Figure out smoking and   vaping is another thing. Like, maybe four terms, stuff like this.   Nadav Schnall (14:55) Yeah.   So that we do have on the property, on the platform. that is a great sensing technology, especially for like rental buildings or buildings that have passed no smoking laws in the building. So it can do vaping, it could do marijuana, it could do cigarette smoke. And so we've had that. actually, one of the reasons we developed it, again, speaking to property managers and building owners,   This is a West Coast property owner. he said, you know, one of my main reasons for non renewing leases in my building is because people smoke and people don't want to renew. And so that was one of the reasons we went out. came out with this, with a sensing technology and it can, you know, it kind of tattles on the smokers, but it works with that kind of building. Right. So if you sign into a building, which is a non-smoking building, you should have that same with hotels, et cetera, et cetera.   Jason Hull (15:45) Cool. So I'm going to read a word from our sponsor and then I some more questions we'll get into. So this episode is sponsored by Vendoroo So many of you tell me that maintenance is probably the least enjoyable part of the property manager and definitely the most time consuming. But what if you could cut that workload by up to 85 %? That's exactly what Vendoroo has achieved. They've leveraged cutting edge AI technology to handle nearly all your maintenance tasks from initiating work orders and troubleshooting to coordinating with vendors and reporting.   This AI doesn't just automate, it becomes your ideal employee, learning your preferences and executing tasks flawlessly, never needing a day off and never quitting. This frees up you to focus on the critical tasks that really move the needle for you and your business, whether that's refining operations, expanding your portfolio, or even just taking a well-deserved break. So over half the room at last year's DoorGrow Live.   conference signed up with Vendoroo right then and there after hearing about it. A year later, they're not just satisfied. They're raving about how Vendoroo has transformed their business. Don't let maintenance drag you down. Step up your property management game with Vendoroo Visit vendero.ai. That's V-E-N-D-O-R-O-O.ai slash door grow today and make this the last maintenance hire you'll ever need. All right, cool. So back to...   Back to what you were talking about, Nadeav. I'm curious, this sounds like a no-brainer. Is this expensive to get set up? Can this be turned into a profit center for property managers in some way? How does this typically work for property managers?   Nadav Schnall (17:20) Yeah, sure.   So, excellent questions. As far as the cost goes, it is very competitive in the marketplace. Sensors start at about $70 a sensor, depending on what it is. There is a cost for the network, but again, it is not a significant cost. The costs kind of vary based on the size of the building, and obviously there's volume discounts. But, you know, I think it, you know, from a   Profit center, it's an interesting question, right? Because I don't know if you're actively going to make money from the building, from activating the system. However, you will get a return on your investment because again, you're able to, first of all, reduce repair costs. There's no question about that, right? we have...   Examples examples examples of buildings that have installed our system and have caught dozens of water leaks some of which may have turned into Small things or maybe you and an overflowing club, but you caught that and you mopped that up But others are like these slow leaks behind walls and all kinds of areas like that that you otherwise would have not noticed and before it became mold and stuff so hundred percent you save money on that from a repair across perspective and   Jason Hull (18:09) Yeah.   Nadav Schnall (18:24) on insurance front, is really one of our biggest areas that we're focused on is trying to help buildings reduce insurance costs. And so in that sense, it does turn into a profit center, maybe not the traditional profit center as a fee for it, but you do save on other repairs on insurance costs. So in that sense, yes, you do make money on that.   Jason Hull (18:42) So, Nadav, a question. So you've mentioned multifamily. There are a lot of people that listen to this podcast that also do single-family residential, or maybe they do individual condos, or they do short-term rentals or Airbnbs. Do you find that this makes sense for those scenarios as well?   Nadav Schnall (19:03) 100 % it does. We focus...   only on multi-dwelling, in other words, we're a B2B company in that sense, unless maybe there's a situation where there's someone who manages multiple individual condos, let's say, right? Or multiple Airbnbs and they want everything on kind of a dashboard and maybe that would make sense. There are solutions out there that focus on the single-family world, that are Wi-Fi based and they're meant for that. We are really more of a commercial grade.   solution, right? And that's kind of how we set ourselves up. And that is really the big differentiator with us is that we're really focused on whole building solutions. We have automatic border shutoff valves, for example, which I haven't even mentioned before. But for example, we have a commercial building.   where the building owners have no one at the building over the weekend and actually no one in the building after I think it's 7 or 8 p.m. till they come back at like 6 or 7 in the morning. So they proactively shut the water to the building when they leave and no one's there. So they don't even want to take the risk. Of course all of our sensors can connect to the automatic shutoff app and say hey if there is a leak we'll shut that off, we'll shut the water off. They just want to they just put it on a schedule and proactively shut it. So in that sense if you   have single family or Airbnb managers, cetera, et cetera, you can all control it even from the app. You don't even have to be at the property. And you can just shut the valve off and shut the property. So if you're going to go away and let's say you want to winterize the property and shut the water off for a prolonged amount of time because you're not going to be there going on vacation. So you can do that with the system quite easily.   Jason Hull (20:35) Interesting. for somebody that's like an Airbnb and they wanted to get this set up, and they wanted like maybe water, auto water shut off, some gas detection, you know, a couple of the most obvious important ones, what would it roughly cost for them to get that property outfit?   Nadav Schnall (20:53) I mean, if it's a, if let's say we're talking about a single apartment, maybe like a one or two bedroom, you're probably talking about a one time cost of anywhere between 300 to $500. If you're in, if you're in that kind of situation, if it's slightly bigger, it all depends on the number of sensors. But again, if it's about $70 a sensor, how many points of water do you have in your, in your apartment? And then that's how you do the math.   Jason Hull (21:18) Got it. So typically sensor per maybe bathroom or water.   Nadav Schnall (21:22) Yeah, you'd put   one to two per bathroom, right? Depending on how many, if you have a tub or a shower, we typically catch that with another sensor that would be placed nearby, maybe behind a toilet. Sensors are very sleek, non-invasive. They don't actually, many of them, this is actually a sensor. They don't even look that way. So it's good. They're discreet. They go behind toilets, under sinks and so on and so forth. And so it's very easy to deploy them as well.   Jason Hull (21:48) Got it. And these don't have cameras on them, right?   Nadav Schnall (21:51) No   cameras. And as I mentioned, because we use LoRaWAN and it is unable to communicate or transmit large packets of data, it is impossible for me to record someone because the data packets are so small. The amount of data that would need to be transmitted just to record a sentence would take days and days and days. So it is impossible for us to do that.   Jason Hull (22:04) Hmm.   Got it.   Got it. Okay, very cool. Well, what else should people know about this solution or whatever questions that people ask, maybe about ProSentry and then how can people get in touch with you?   Nadav Schnall (22:29) So first of all, think the most important thing is, you know, we were built by real estate professionals. And so we really understand the industry and we're happy to consult.   and speak to anyone who has any questions. There's no strings of ties. There's no cost for that. We're happy to give proposals. And every building is unique and every building has their unique set of challenges. And so I think it's important for your listeners to know that that's the world that we come from and we actually enjoy having conversations with real estate professionals. And so if anyone has any questions or wants to discuss, just feel free to reach out. Our website, which is www.prosentry.com.   prosentry.com. Contact us or request a proposal. Very easy to get in touch with us. Or also info at prosentry.com.   Jason Hull (23:14) Very cool. So one last question. If somebody goes to your website, they decide they want to get some of this stuff set up for the property, who actually comes out and gets all this stuff set up and installed? Do they have to get a contractor to do it? How does that work?   Nadav Schnall (23:27) No, so it is extremely, extremely simple. So we have designed the system so that it is easy to be deployed by the building itself. And while we can provide recommendations for installers, 100%, I think there's one, I wouldn't say 100, I think 99%, I think it's one property that actually hired someone to do that. All of our properties, and I'm talking about hundreds of buildings, have installed the system by themselves. It is extremely easy. The system comes pre-configured.   So the gateways are the only component that gets plugged in. Those are the routers, right? So you start by plugging those into the wall into regular outlet. They turn on in about a minute or so and start communicating. They automatically connect to cellular antennas. They automatically...   create this internal private network only to that building. So there's no configuration, nothing else to do. And then you take the devices, the sensors themselves, you download our app, you scan a QR code on the device and all you do is you have a drop down menu and you say, I am in apartment 22B, it's already pre-configured, we'll configure the apartment, everything will be there. And you'll say, I'm placing it by the kitchen sink. That's it. That's all you gotta do. It automatically connects, the sensors automatically connect. And so,   We do speak to some buildings and they're like, yeah, we don't want to take on. so I call it deployment because it's not even installation. It's not invasive. There's no drilling. There's nothing to do there. So we say, OK, we can give you a proposal for installation or connect you with someone who can do it for you. But then once they understand how they get a little bit of a demo and see how it's done, go, oh, this is it. It's very, very easy to install.   one of the features that I neglected to, to, to, to mention, I think is important is we offer, live operator calls to buildings. And so a lot of providers out there will send you like an app notification or maybe an email or a text message, right. say, Hey, but again, property managers, right. We realize that at two o'clock in the morning, no one's looking at their phone to see if you got a text message. So we use an underwriter, laboratory certified call center with live people, not some robo call.   Jason Hull (25:19) and   Nadav Schnall (25:33) and they will actually call you and say, Jason, you have a leak in apartment 22 B in the kitchen.   under the dishwasher, right? And if you happen not to be answering, we will call the next person online. We can have multiple people. And so we'll call the front desk. Front desk doesn't answer. Maybe the handyman, handyman doesn't answer. The resident manager, the property manager, the hotline, the board president, whoever you need. We can put that all under the platform. So that is an important feature and a differentiator, by the way, because there are not many companies that do that. But we do recognize that because time is of the essence when something like this happens, you need to make sure you can get in touch with   Jason Hull (26:01) Mm.   Nadav Schnall (26:09) someone before damage becomes something very small into something really big. ⁓   Jason Hull (26:13) Yeah,   well, it sounds like a no brainer. Sounds very cool. And yeah, I recommend everybody check it out at prosentry.com. cool. Well, Nadav, thanks for coming and hanging out with us here on the DoorGrow show. Yeah, I appreciate it. So for those of you that maybe felt stuck or stagnant in your property management business, you want to take it to the next level, reach out to us at doorgrow.com. We can help.   Nadav Schnall (26:27) Thanks for having me, Jason. This was fun.   Jason Hull (26:40) And for a free training on how to get unlimited leads for free for your property management business, text the word leads to 512-648-4608. That's the word leads to 512-648-4608. Also be sure to join our free Facebook community just for property management business owners at doorgrowclub.com. And if you would like to get the best ideas in property management, you can join our newsletter.   at doorgrow.com slash subscribe. And if you found this episode even a little bit helpful, don't forget to subscribe and leave us a review on whatever platform you saw this on. We'd really appreciate it. And until next time, remember the slowest path to growth is to do it alone. So let's grow together. Bye everyone.  

Industrial Talk is onsite at SMRP 2025 and talking to Maureen Gribble, CMRP, N.A. Sales Enablement Lead at UE Systems about "Ultrasound Condition Monitoring". The conversation introduces three new podcasts under the Industrial Talk Podcast Network: "Ask Molly," focused on marketing and sales, "Business Beatitudes," on leadership virtues, and "The Human Patch," on cybersecurity. Maureen Gribble from UE Systems discusses her 14-year tenure with the company, emphasizing their ultrasound technology and customer support. She highlights the increasing presence of women in the industry and UE Systems' use of AI in their On Track system for predictive maintenance. The discussion also touches on the importance of marketing in the industry and the need for continuous innovation to address workforce shortages. Action Items [ ] Connect with Maureen Gribble on LinkedIn[ ] Explore the possibility of adding a marketing track to the SMRP conference Outline Introduction of New Podcasts Scott introduces three new podcasts under the Industrial Talk Podcast Network: "Ask Molly," focused on marketing and sales, "Business Beatitudes," on leadership virtues, and "The Human Patch," on cybersecurity."Ask Molly" aims to provide straight, jargon-free insights into marketing and sales from an industrial perspective."Business Beatitudes" will discuss leadership virtues like generosity and humility and how they contribute to business success."The Human Patch" will explore the human aspect of cybersecurity, emphasizing the importance of human connections in cybersecurity efforts. Welcome to Industrial Talk The platform celebrates industry professionals for their boldness, bravery, innovation, and problem-solving skills.Scott mentions the broadcast from the SMRP conference, emphasizing its importance for engineering, asset management, maintenance, and reliability professionals.The excitement of meeting people like Maureen Gribble is highlighted, with Scott expressing enthusiasm for the conversation. Maureen Gribble's Background and Role Scott introduces Maureen Gribble, who works at UE Systems, and mentions her previous appearances on the show.Maureen shares her background, mentioning her 14 years at UE Systems and her involvement in the maintenance and reliability world since 2006.Scott and Maureen discuss the changes in the industry, noting the increased presence of women at the SMRP conference.Maureen emphasizes the importance of women in the industry and the need for them to step up and take on leadership roles. UE Systems and Its Innovations Maureen explains that UE Systems manufactures and sells ultrasound technology, with over 50 years of experience in the field.The company focuses on providing the best ultrasound solutions for customers, emphasizing customer support and excellence.Maureen highlights the company's commitment to innovation, mentioning their latest technologies like ultrasound for auto and IoT solutions.The conversation touches on the importance of making technology user-friendly and ensuring it is not left unused. Marketing and Technology in Industry Speaker 1 and Maureen discuss the challenges of marketing in the industry, noting that many companies do not do it well.Maureen mentions UE Systems' marketing team, led by Brittany Stover, and their efforts to stay current with new marketing trends.The conversation covers the impact of AI on search results, with Maureen noting the need for companies to adapt to new marketing strategies.Speaker 1 and...

Chris and Hector break down North Korea's covert push to infiltrate Western companies through fake IT recruiting, the leaked Predator spyware network targeting journalists and activists, and a record shattering DDoS attack driven by millions of compromised IoT devices. Along the way they unpack lazy opsec, hardware backdoors, and why everyday consumer tech keeps ending up in global cyber warfare. Join our new Patreon! ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.patreon.com/c/hackerandthefed⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Send HATF your questions at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠questions@hackerandthefed.com

Chris and Hector break down North Korea's covert push to infiltrate Western companies through fake IT recruiting, the leaked Predator spyware network targeting journalists and activists, and a record shattering DDoS attack driven by millions of compromised IoT devices. Along the way they unpack lazy opsec, hardware backdoors, and why everyday consumer tech keeps ending up in global cyber warfare. Join our new Patreon! ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.patreon.com/c/hackerandthefed⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Send HATF your questions at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠questions@hackerandthefed.com

What's the current state of play in the world of networking? This week, Technology Now returns to HPE Discover Barcelona for a discussion with Rami Rahim, President and General Manager, HPE Networking. We ask why networking is so important, how it is possible to keep the world connected, and explore what networking will look like going into the future.This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week, hosts Michael Bird and Sam Jarrell look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations. This episode is available in both video and audio formats.About Rami Rahim: https://www.hpe.com/uk/en/leadership-bios/rami-rahim.html

In this Retail Technology Spotlight Series episode, Doron Hazan, Director of Data, Product, and AI at Wiliot, joins Omni Talk to discuss the concept of "physical AI" and how it ultimately improve retail operations from the ground up. From ambient IoT sensors to real-time inventory intelligence, Doron breaks down how battery-free Bluetooth pixels are creating self-aware supply chains, how retailers can start small and scale strategically, and why the future of retail operations is about connecting physical things to AI-powered decision engines. If you've ever wondered what happens when IoT meets artificial intelligence in real-world stores (who hasn't), this episode is for you.

In this best-of episode of Everything is Logistics, we're building the business case for healthy paranoia in freight. I'm pulling together clips from past conversations with Jonathan Ryan (Overhaul), Reid Clements (Highway), and Mark Funk & Shivrani Narayan (SPI Logistics), plus a breakdown with Grace Sharkey (Orderful) on the current state of cargo crime. From fake carriers and spoofed identities to food-and-beverage loads that “disappear” into the market, this is the stuff that quietly nukes margins while everyone argues over rates.This episode walks through how fraud actually happens on the ground, what the red flags look like inside your TMS and inbox, and what the best teams are doing to shut it down before a load ever hits the road.In this episode, you'll learn:Why identity is the real battleground in freight fraud—and how a $300 fake MC can wreck your quarter.How shippers, brokers, and carriers are using data from telematics, ELDs, and IoT devices to spot sketchy activity in real time.What cargo crime looks like at the agent level: carrier vetting, distress loads, and “oh no” moments that could've been prevented.Why thieves are shifting hard into food, beverage, and other “easily consumed” loads—and what that means for your contracts and processes.Practical steps to tighten carrier selection, build better response playbooks, and protect both freight and drivers.If you touch freight in any way—shipper, broker, carrier, 3PL, agent—this is your reminder that trust is not a strategy. Paranoia, on the other hand, might just save your freight budget.Watch the video version of these episodes over on YouTube. Feedback? Ideas for a future episode? Shoot us a text here to let us know. -----------------------------------------THANK YOU TO OUR SPONSORS! SPI Logistics has been a Day 1 supporter of this podcast which is why we're proud to promote them in every episode. During that time, we've gotten to know the team and their agents to confidently say they are the best home for freight agents in North America for 40 years and counting. Listen to past episodes to hear why. CargoRex is the search engine for the logistics industry—connecting LSPs with the right tools, services, events, and creators to explore, discover, and evolve. Digital Dispatch manages and maximizes your #1 sales tool with a website that establishes trust and builds rock-solid relationships with your leads and customers.

How can you scale AI at the enterprise, yet still hit your climate goals? And can heavy AI usage and an enterprise's ESG mission co-exist? Ashutosh Ahuja lays it out for us. Aligning AI With Climate And Business Goals -- An Everyday AI Chat with Jordan Wilson and Ashutosh AhujaNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion:Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:AI's Environmental Impact and Climate ConcernsCompanies Aligning AI with ESG GoalsAI Adoption Versus Carbon Footprint TradeoffsMetrics for Measuring AI's Environmental ImpactBusiness Efficiency Gains from AI AdoptionReal-World Examples: AI Offsetting Carbon FootprintIndustry Opportunities for Sustainable AI IntegrationFuture Trends: Efficient AI Models and Edge ComputingTimestamps:00:00 Everyday AI Podcast & Newsletter05:52 Balancing Progress and Legacy07:03 "Should Companies Limit AI Usage?"12:02 "Sentiment Analysis for Business Growth"17:07 "Energy Efficiency Impacts ESG Metrics"19:40 Robots, Energy, and AI Opportunity21:41 AI Efficiency and Climate Balance25:04 "Trust Instincts in Investments"Keywords:AI and climate, climate goals, aligning AI with ESG, environmental impact of AI, carbon footprint, energy use in AI data centers, water cooling for GPUs, sustainable business practices, enterprise AI strategy, ESG compliance, climate pledges, AI adoption in business, carbon footprint metrics, machine learning for sustainability, predictive analytics, ethical AI, green AI solutions, renewable energy sector, AI in waste management, camera vision for waste sorting, delivery robots, edge AI, small business AI implementation, AI efficiency, sentiment analysis, customer patterns, predictive maintenance, IoT data, auto scaling, cloud computing, resource optimization, SEC filings, brand sentiment tracking, LLM energy consumption, environmental considerations for AI, future of AI in climate action, business efficiency, human in the loop, philanthropic business practices, sustainable architecture, large language models and climate, tech industry climate initiatives, AI-powered resource savings, operational sustainability.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner