Podcasts about IOT

Episode 285 explores how one woman's personal wake-up call transformed into a mission to improve the air we breathe

Manual testing never died. IoT is the proof. In this episode, Joe Colantonio talks with Oleksii Cherkashyn, a QA team lead, automation engineer, and IoT testing specialist who built a complete test architecture from scratch across hardware, firmware, mobile, web, and API. IoT breaks the usual automation playbook. You are not testing a shopping cart. You are connecting a real microcontroller, flashing a sketch, validating that a physical command produced the right change in a dashboard widget, and then doing the same thing again through the REST API and the mobile app. No marketplace framework covers that, so Oleksii built his own. You'll learn: Why manual QA remains essential in IoT and which cases can never be automated How Oleksii built a custom Node.js library to simulate up to 50,000 device connections for performance testing without buying the hardware Why he chose WebDriverIO over Playwright and the mobile automation reason behind it How he uses WebDriverIO MCP and cloud coding agents every day to create and repair tests The hard truth about dependent test chains and where AI agents still hallucinate How to handle time based scenarios like sleep modes, daily triggers, and delayed notifications Static versus dynamic provisioning, and how to test OTA firmware updates What to do first if your company hands you an IoT device and you have never tested hardware If you work in test automation and you want a look at the layer of testing that AI is not coming for, this one is for you. Listen up, and check out the links below for everything mentioned in this episode.

The hosts discuss confusion caused by Microsoft's email warning that Publisher will end in October 2026 and urging users to convert files to PDF. Jerry shares how he's been using AI—especially Claude (and sometimes ChatGPT)—to speed up IT work: creating an Addigy printer pool by assigning static IPs to flaky Brother network printers, analyzing Mac logs with Claude to find a runaway Chrome render process causing memory pressure, and using the Quitter app to auto-quit Chrome as a workaround for battery and performance issues. He also describes fixing a weak UniFi doorbell connection by creating a 2.4GHz-only SSID and broadcasting it on multiple access points. The conversation broadens to AI guardrails, environmental and economic concerns, and social impacts. They cover security-minded IoT network segmentation, Sonos reliability, a client scare about entering a Mac password prompted by Touch ID autofill in private browsing, RingCentral sidebar customization, presbyopia eye drops, and phone accessory tips including ESR screen protectors, Spigen cases, camera lens vulnerability, battery health, and pros/cons of Apple's iPhone Upgrade Program.   00:00 Podcast Kickoff Banter 00:19 Microsoft Publisher Panic 01:39 AI Fixes Printer Deployments 04:19 Claude Reads Mac Logs 05:53 Quitter App Chrome Workaround 08:14 AI Ethics and Guardrails 12:07 AI Economy Bubble Talk 16:03 UniFi Doorbell WiFi Fix 20:23 IoT Networks and VLAN Trust 25:00 Sonos Reliability Updates 28:12 Experian Password Scare 30:06 Touch ID Prompts Confuse Users 32:00 V-Neck and Beard Side Chat 32:18 Beard and Shirt Banter 32:54 Eye Drops for Presbyopia 35:23 Screen Reflections on Calls 37:11 RingCentral Sidebar Hack 39:21 Best Budget Screen Protectors 41:58 Do You Even Need Protectors 44:27 Cracked Camera Lens Mystery 47:06 Battery Health and Upgrade Temptation 52:07 iPhone Upgrade Program Debate 57:54 Wrap Up and Sign Off

What if the biggest threat to the world's energy infrastructure is something you can't even look at? Dr Chiraz Ennaceur, CEO and Co-founder of Cambridge-based CorrosionRADAR, joined James and Faye for one of our most compelling conversations to date - a masterclass in deep tech entrepreneurship, customer-led product development, and building a global business from a genuinely unglamorous industrial problem.Corrosion costs the global economy an estimated $3 trillion every year, and by 2030, replacing corroded steel is projected to account for up to 9% of greenhouse gas emissions. CorrosionRADAR tackles one particularly stubborn variant: corrosion under insulation (CUI), where the very material designed to protect industrial pipelines and vessels creates the perfect conditions for hidden decay."We are the doctor of things rather than the doctor of people. We go, we look, we diagnose, and we find solutions to make sure that things are running in a safe way."The company's sensor technology - including what it claims is the world's longest CUI sensor at 50 metres - installs beneath insulation and feeds real-time data into its Clarity software platform, delivering granular risk assessment without ever needing to remove the insulation itself.Key highlights from the episode:The founding story: Chiraz worked at TWI (The Welding Institute) for a decade before leaving in 2016 to pursue the entrepreneurial dream she'd had since her PhD in France. A two-weekend programme for female entrepreneurs gave her the confidence to act. The Cranfield connection: CorrosionRADAR is a spinout from Cranfield University, where co-founder Dr Prafull Sharma developed the core electromagnetic guided radar technology that underpins the product.Capital efficiency: The company has raised $14 million across multiple rounds - modest by deep tech standards - because it prioritised paying customers from day one. First customer signed within six months of founding. First investor secured in the same year.Who's backing them: Aramco Ventures - the investment arm of the world's largest oil company - started as a customer and became an investor. ADNOC and Chevron are also in the customer base.The team: CorrosionRADAR now employs nearly 50 people across Cambridge, the Middle East and a growing US operation, including newly appointed CMO Steve Tongish, previously of IQGeo, RealVNC and AVEVA.What's next: Three strategic pillars - moving from predictive to autonomous AI (powered by an in-house engine called Hakima), global expansion, and positioning for the new build energy transition market.The founder's advice to founders:"Don't wait for a perfect product. Go and find your early adopters - the ones happy to try something that isn't 100% working. Because there is a huge difference between your nice, clean lab and the crude places where this technology actually gets used."This is a rare window into what disciplined, customer-obsessed deep tech company building actually looks like. CorrosionRADAR didn't chase the AI hype cycle or raise money it didn't need. It built hardware when everyone said to avoid hardware, stayed focused on five key customers when it could have spread thin, and turned a niche industrial problem into global market leadership.If you're building in the industrial IoT, energy tech or sensor space - or you're an investor trying to understand what genuine product-market fit looks like in enterprise deep tech - this episode is essential listening.Headline sponsor Holden Polestar Produced by Cambridge TV #CamTechPod Hosted on Acast. See acast.com/privacy for more information.

For about a decade, a customer data platform's job was to be the place your customer data lived. What happens to that job when the most valuable thing a system can do goes beyond remembering and evolves to deciding and acting?Agility, in a category that's been declared dead more than once, isn't chasing whatever the market renames itself this quarter. It's being able to change what your product does without losing the thing your company is actually good at.Today we're going to talk about what it takes to evolve a category from the inside. Specifically:- Why fifteen years of data infrastructure turned out to be an advantage rather than baggage to shed.- What actually changes — in the product and in the company — when a system stops solely storing customer data and starts acting on it.- Where the line sits between a marketer steering an agent and a system running on its own.This conversation also kicks off a four-part series we're running this week with the product team at Treasure AI: four leaders, four vantage points: the vision, the roadmap, the operational reality, and the design.To help me start it off, I'd like to welcome Rafa Flores, Chief Product and Growth Officer at Treasure AI.About Rafael FloresAs a proud immigrant from Honduras, Rafael's journey is rooted in three core values passed down from his family: the power of education, treating everyone with dignity—no matter their background—and lifting up the next generation. Once he was an wide-eyed kid with big dreams, and today, he's living them. He's dedicated his career to scaling SaaS companies from startup spark to high-growth success. At Meltwater, he played a key role in driving product innovation and market readiness that led to a successful IPO. At Datanyze, he led strategic initiatives that culminated in an acquisition by ZoomInfo—boosting their data intelligence footprint. At ARM, he spearheaded innovation in Retail SDK and IoT, opening new frontiers in connected experiences. And at 6sense, he led all automation, data, and AI-powered products, building inclusive teams and solutions that empower GTM leaders to sell smarter. At Treasure Data, he helped orchestrate a landmark $600M acquisition by ARM and secured record-breaking funding for the Customer Data Platform. Now, he's back—leading Treasure Data into a new era of intelligence and automation built for scale. It's more than a comeback; it's a homecoming. This is a team he deeply believes in—brilliant, driven, and purposeful. Beyond tech, he's a devoted father of three and married to a registered nurse whose compassion and strength inspires him every day. My expertise lies in product strategy, CDPs, data privacy, and scaling GTM solutions—from agile startups to Global 2000 enterprises. He's passionate about solving hard problems with technology, driving sustainable growth, and mentoring rising product leaders. As a member of the Forbes Technology Council, he aims to share insights, spark dialogue, and help shape the future of innovation—one conversation, and one leader, at a time.Rafael Flores on LinkedIn---------- Resources ---------- Treasure AIReach your customers with Reddit. Spend $500 in ad spend, get $500 back in ad creditCheck out the Treasure AI Studio sandbox for yourself.Enjoyed the show? Tell us more at and give us a rating so others can find the show.Connect with Greg on LinkedInDon't miss a thing: get the latest episodes, sign up for our newsletter and more.Check out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology.The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. Hosted on Acast. See acast.com/privacy for more information.

Today we are joined by Ian Goldin, Senior Lead Information Security Engineer, and Mike Horka, Principal Information Security Engineer, from Lumen's Black Lotus Labs, discussing their research entitled "Expanded JDY IoT and SOHO botnet enables rapid vulnerability exploitation." Black Lotus Labs has uncovered a major resurgence of the JDY botnet, a China-nexus reconnaissance network now comprising more than 1,500 compromised SOHO and IoT devices. The botnet uses these devices to conduct targeted scanning and fingerprinting, helping threat actors rapidly identify vulnerable infrastructure—sometimes within hours of a new vulnerability disclosure—and appears to have a particular focus on U.S. military-related networks. The research highlights how compromised routers and IoT devices can be turned into distributed reconnaissance infrastructure that evades traditional IP-based defenses and supports follow-on exploitation. The research and executive brief can be found here: Expanded JDY IoT and SOHO botnet enables rapid vulnerability exploitation

Today we are joined by Ian Goldin, Senior Lead Information Security Engineer, and Mike Horka, Principal Information Security Engineer, from Lumen's Black Lotus Labs, discussing their research entitled "Expanded JDY IoT and SOHO botnet enables rapid vulnerability exploitation." Black Lotus Labs has uncovered a major resurgence of the JDY botnet, a China-nexus reconnaissance network now comprising more than 1,500 compromised SOHO and IoT devices. The botnet uses these devices to conduct targeted scanning and fingerprinting, helping threat actors rapidly identify vulnerable infrastructure—sometimes within hours of a new vulnerability disclosure—and appears to have a particular focus on U.S. military-related networks. The research highlights how compromised routers and IoT devices can be turned into distributed reconnaissance infrastructure that evades traditional IP-based defenses and supports follow-on exploitation. The research and executive brief can be found here: Expanded JDY IoT and SOHO botnet enables rapid vulnerability exploitation

Most people know HPE for servers, compute, and storage. David Hughes leads a pillar that gets less attention. He runs the SSE and security business inside HPE Networking, which he says accounts for about a third of the company now that HPE has merged with Juniper, and which organizes into four pillars: campus and branch, data center switching, routing infrastructure, and security. Recorded on location at Black Hat USA 2026, the conversation opens on a balancing act Hughes hears constantly. Customers want to push hard on AI adoption while staying protected and avoiding undue risk. The same tension runs between teams. Networking answers for performance and user experience. Security answers for protecting those users and the company's data. HPE's answer is to embed security thinking into the network itself, making it a sensor and an enforcement point for the security team. What happens when users are no longer only people? The identity question moves to devices, workloads, and agents. Hughes frames it as human and non-human identity, and his position is to take the ZTNA architecture that works for people and adapt it, starting with IoT devices, then workloads, then agents. Put an agent in a sandbox and it sees only the subset of resources it is supposed to reach. How do networking and security teams work from the same picture? Through shared visibility and agentic technology across the management layer. HPE is putting agentic technology into how it manages storage, compute, networks, and security products, then meshing those agents together so a wifi complaint that turns out to be a firewall policy change gets to root cause faster, with automatic remediation as the goal. Hughes also covers post-quantum cryptography, where HPE is moving across all product lines to introduce quantum resistant and quantum safe capabilities in hardware and software, with some launched this year and more coming through the following quarters. The deadline arrives earlier than most calendars suggest, because data harvested today can be decrypted later. Rounding it out: HPE Threat Labs, announced earlier in the year with Mounir Hahad's team from Juniper at its core, and AI focused capabilities on the next generation firewalls covering observability, role based governance over which services employees can use, and session level inspection of prompts and responses. Hughes closes with a direct invitation to CISOs who know HPE for compute and networking and have yet to meet the security team. This is a Brand Briefing. A Brand Briefing is an on-location conversation recorded on site at Black Hat USA 2026, putting a spotlight on the guest and their company and pairing it with the editorial reach of ITSPmagazine. Learn more: https://www.studioc60.com/performance/#briefing GUEST David Hughes, SVP and GM of SASE and Security for Networking at HPE On LinkedIn: https://www.linkedin.com/in/david-hughes-42751636/ RESOURCES Black Hat USA 2026 event coverage from ITSPmagazine: https://www.itspmagazine.com/black-hat-usa-2026-cybersecurity-event-coverage-in-las-vegas HPE: https://www.hpe.com/ HPE Threat Labs: https://www.hpe.com/us/en/hpe-labs/threat-labs.html Are you interested in telling your story? ▶︎ Full Length Brand Story: https://www.studioc60.com/content-creation#full ▶︎ Brand Spotlight Story: https://www.studioc60.com/content-creation#spotlight ▶︎ Brand Highlight Story: https://www.studioc60.com/content-creation#highlight ▶︎ Get your own Brand Briefing at an upcoming event: https://www.studioc60.com/buy-brand-briefings KEYWORDS david hughes, hpe, sean martin, brand briefing, brand story, brand marketing, marketing podcast, black hat usa 2026, zero trust, ztna, non-human identity, agentic ai, ai security, post-quantum cryptography, network security, sase, sse, hpe threat labs, self-driving network, firewall governance, juniper, iot security, cross domain troubleshooting Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

TMX VettaFi's head of business development for EMEA & Asia, Axel Belorde, spoke with Proactive's Stephen Gunnion about the structural drivers fuelling demand for drones and autonomous systems across defence, government and commercial markets. Belorde pointed to military modernisation as a key driver, with decision-makers weighing whether to replace ageing equipment or adopt technology offering an asymmetric edge. He also flagged civil applications - policing, border security, disaster response - plus a growing range of commercial uses. Smaller and medium-sized drones, he said, can deliver outsized results relative to their cost, with lighter material and energy demands easing pressure on supply chains versus traditional equipment. Belorde emphasised drones' role as data-gathering platforms, with fleet data combined with satellite and IoT inputs to sharpen decision-making and power operational AI: "Data wins wars and data also wins in terms of deploying operational AI and having good outcomes." On the commercial side, he cited delivery, warehouse management and predictive maintenance — including drones running continuous inventory checks to cut stockouts and free up working capital, and autonomous systems surveying critical infrastructure. His summary: "You don't have to have a human shape for an autonomous system to work" - a drone just needs to be fit for purpose, nimble and cost-efficient to deliver outsized impact. Visit Proactive's YouTube channel for more interviews and videos. Give the video a like, subscribe to the channel and enable notifications so you don't miss future content. Read Proactive's Editorial Policy here: https://www.proactiveinvestors.co.uk/pages/editorialPolicy #Drones #DroneTechnology #AutonomousSystems #DefenceTechnology #MilitaryTechnology #ArtificialIntelligence #OperationalAI #SupplyChains #SupplyChainResilience #Robotics #Automation #PredictiveMaintenance #CriticalInfrastructure #TMXVettaFi #Proactive

NR+, aka DECT-2020 NR, is a non-cellular 5G wireless technology standard that operates without cell towers or operator subscriptions. It offers private, highly scalable mesh connectivity in the license-exempt 1.9-GHz frequency band for such applications as industrial IoT and industrial automation. That said, other long-range standards offer similar connectivity. So the obvious question for me is, “Why do we need NR+?” To answer that question, I spoke to Nick Dutton, a Strategic Advisor to Last Mile Semiconductor. Nick answered my question, and lots more along the way, in this week's Embedded Executives podcast.

Remember those grainy old baby monitors? So passé. Today, the modern nursery can be equipped with HD cameras and biometric sensors — all analyzed with artificial intelligence.The technology can detect hazardous position changes or a blanket covering a baby's face, but also tracks less critical metrics that purport to help optimize infant sleep and health. Sapna Maheshwari, business reporter at The New York Times, recently wrote about this. She's been an avid user of the Nanit Smart Baby Monitor System with both of her children.More on this“Aw, It's Baby's First A.I. Surveillance System” from The New York Times“AI-powered IoT is creating a new security challenge” from Spiceworks

Remember those grainy old baby monitors? So passé. Today, the modern nursery can be equipped with HD cameras and biometric sensors — all analyzed with artificial intelligence.The technology can detect hazardous position changes or a blanket covering a baby's face, but also tracks less critical metrics that purport to help optimize infant sleep and health. Sapna Maheshwari, business reporter at The New York Times, recently wrote about this. She's been an avid user of the Nanit Smart Baby Monitor System with both of her children.More on this“Aw, It's Baby's First A.I. Surveillance System” from The New York Times“AI-powered IoT is creating a new security challenge” from Spiceworks

Hoje o papo é sobre IA no mundo físico! Neste episódio, conversamos sobre como a chamada “Physical AI” leva modelos de IA para robôs e dispositivos capazes de perceber e agir no mundo real. A conversa passa pelos desafios de destreza e padronização, além do ecossistema open source de braços robóticos, drones e automação residencial. Vem ver quem participou desse papo: Paulo Silveira, o host que só queria melhorar o Wi-Fi de casa Vinny Neves, cohost, dev e professor na Alura Lucas Ribeiro Mata, Coordenador de Conteúdo Educacional na Alura e pesquisador em IA, IoT e robótica Daniel Romero, AI Engineer e entusiasta de robótica  Links:  Entrevista de Elon Musk para The Economist Nvidia explica Physical AI Action Chunking with Transformers ROS: Robot Operating System LeRobot, da Hugging Face SO-101, braço robótico open source Unitree Robotics Waddle Labs Post do Daniel sobre a construção de uma Physical API Home Assistant Shelly Govee MQTT Arduino ESP32 STM32 Raspberry Pi 5 NVIDIA Jetson Text to CAD Paulo Silveira: Automação Residencial, Engenharia Reversa e Cemitério de Repositórios Conheça as Formações em Inteligência Artificial da Alura, mergulhe com profundidade no universo da IA, e domine as principais ferramentas que estão moldando o agora. Vá para o Vale do Silício com Paulo Silveira, Marcell Almeida, Fabrício Carraro e Marcus Mendes na “Imersão IA Sob Controle e Alura no Vale do Silício“! Vagas limitadas, corra para reservar a sua. TechGuide.sh, um mapeamento das principais tecnologias demandadas pelo mercado para diferentes carreiras, com nossas sugestões e opiniões. #7DaysOfCode: Coloque em prática os seus conhecimentos de programação em desafios diários e gratuitos. Acesse https://7daysofcode.io/ Produção e conteúdo: Alura Cursos de Tecnologia – https://www.alura.com.br Edição e sonorização: Rede Gigahertz de Podcasts

As estradas brasileiras estão ficando cada vez mais conectadas. A expansão do Free Flow, sistema de pedágio sem cancela, é uma das mudanças mais visíveis, mas está longe de ser a única. Por trás dos novos pórticos existe uma infraestrutura que combina conectividade, identificação por radiofrequência, leitura de placas e softwares capazes de processar as informações dos veículos. E mesmo quando a conexão cai, os dados podem ficar armazenados no próprio equipamento para serem transmitidos depois. A inteligência artificial também começa a ganhar espaço nas rodovias. Novos sistemas de visão computacional conseguem analisar imagens com rapidez e identificar situações como motoristas usando o celular ou sem o cinto de segurança. Mas colocar toda essa tecnologia para funcionar traz desafios. Além da cobertura de internet nas estradas, a expansão do Free Flow exige adaptação dos motoristas a uma nova forma de pagamento. Para quem não utiliza uma tag, por exemplo, é preciso lembrar de consultar e quitar a cobrança posteriormente. No novo episódio do Podcast Canaltech, Elisa Fontes conversa com Daniel Fuchs, VP de Inovação da Arqia e especialista em IoT, conectividade e transformação digital, sobre a infraestrutura por trás dessas mudanças e os desafios para tornar as rodovias brasileiras mais conectadas. A conversa também olha para o que vem pela frente. Com mais conectividade, as estradas poderão ampliar o rastreamento de cargas, monitorar condições como temperatura e peso de caminhões e criar infraestrutura para uma futura adoção de veículos autônomos. Você também vai conferir: Meta lucrou com anúncios de exploração infantil gerados por IA, tecnologia do Spotify quer transformar as compras online e Photoshop e outras ferramentas da Adobe chegam ao ChatGPT. Este podcast foi roteirizado e apresentado por Fernanda Santos e contou com reportagens de Marcelo Fischer e André Magalhães. A trilha sonora é de Guilherme Zomer, a edição de Yuri Sousa e a arte da capa é de Erick Teixeira. O Podcast Canaltech está concorrendo para entrar no Top 20 do Prêmio iBest 2026! Se você acompanha nossos episódios, curte as entrevistas e gosta do conteúdo que produzimos todos os dias, sua ajuda pode fazer toda a diferença. Vote no Podcast Canaltech aqui. É rápido, gratuito e você pode votar até 3 vezes por dia.See omnystudio.com/listener for privacy information.

The Connectivity Standards Alliance (CSA) has a significant task in its hands. As a global body encompassing hundreds of companies, its goal is to create and promote open, universal standards in the wireless space, including (in a big way) the IoT. The goal sounds great, but having most of the major suppliers contributing and providing products for all corners of the globe can cause the process to become unwieldy. To understand how this group works, and how it is moving forward—which it is clearly doing—I spoke to Tobin Richardson, the CSA's President and CEO, on this week's Embedded Executives podcast.

AI is changing more than the speed of accounting work. It is changing what firms can sell and how clients measure value.Shawn Yeager, founder of Upshift, joins Tom Wadelton and Adam Hale to discuss how AI is reshaping pricing and service design across professional services. After three decades commercializing emerging technology, including work on Microsoft's first browser team, Shawn now helps firms turn AI from an internal efficiency project into a commercial strategy.Shawn explains why the billable hour as a unit of value is changing, how firms can separate routine work from judgment and trust, and why advisory should be packaged around specific outcomes rather than broad labels. He also shares a four-quadrant approach for reviewing service lines, a product-market fit process for testing new offers, and why firms should build their context and workflows instead of chasing every new AI tool.Accounting firm owners concerned about margin compression, commoditization, or where to invest next will find practical direction in this episode. Tune in to How AI Is Forcing Accounting Firms to Rethink Pricing with Shawn Yeager.Episode resources:● Website: https://anderscpa.com/●  If you have questions or would like to be a guest on the show, email us at mcpasuccessshow@anderscpa.com● Check out the Virtual CFO Playbook Course:https://anderscpa.com/virtual-cfo-services/vcfo-playbook/QuotesShawn Yeager: “Billing by the hour will likely outlive us all, for good or bad, but the billable hour as a unit of value is forever changed.”Adam Hale: “I think now we've got to move from insights to action.”Shawn Yeager is the founder of Upshift, where he helps professional services firms commercialize AI. He has spent three decades commercializing emerging technology, beginning on Microsoft's first browser team and continuing through cloud infrastructure, IoT, digital payments, and AI. Along the way, he has generated more than $300 million in revenue and now advises founders and startup boards.Learn more about Upshift and explore their free assessment and pricing calculator at upshiftco.com. LI: https://www.linkedin.com/in/shawnyeager/The Modern CPA Success Show is the go-to podcast for accounting firm owners eager to enhance profitability and master Virtual CFO services. This podcast leverages combined expertise in delivering top-tier Virtual CFO services across North America.Website: https://www.buzzsprout.com/2458888  Facebook: https://www.facebook.com/AndersCPA LinkedIn: https://www.linkedin.com/company/anders-cpa/ Instagram: https://www.instagram.com/anderscpa/ YouTube: https://www.youtube.com/@andersvcfo Tom Wadelton is a Virtual CFO at Anders, bringing over 20 years of financial expertise from his tenure at a Fortune 500 company. He has extensive experience spanning financial management, accounting operations, and information technology integration. Tom specializes in delivering strategic Virtual CFO services, helping businesses optimize their financial performance through advanced accounting solutions.Website: https://anderscpa.com/about/your-anders-team/#thomas-d-wadelton LinkedIn: https://www.linkedin.com/in/tomwadelton/ Adam Hale, CPA, is a Partner and Managing Director of Advisory at Anders dedicated to transforming traditional accounting practices through innovative Virtual CFO services. With over 20 years in public accounting, Adam has been instrumental in the ideation and development of CPA training courses. Website: https://anderscpa.com/about/your-anders-team/#adam-hale LinkedIn: https://www.linkedin.com/in/adamhalecpa/

Send us Fan MailYou sit down with your design tool, paint coverage to -67 dBm, target 100+ Mbps everywhere, validate it, and present a beautiful heatmap. Then you open the controller and leave the minimum basic rate at 6 Mbps — an MCS 0. Your design says MCS 0 should never happen. So why are you protecting it?In this episode, Jim walks through the real cost of low MBR settings: beacons and management frames burning airtime at the lowest configured rate, multicast traffic crawling while unicast flies at MCS 9+, inflated cell sizes creating co-channel interference you didn't design for, and neighboring APs deferring to frames serving clients that shouldn't exist in your coverage area. Using field data from a recent network audit, Jim shows what beacon overhead actually looks like when 11b is still enabled and MBR is left at defaults — and what changes when you raise it to 24 Mbps.The episode also tackles the IoT pushback head-on: possible vs. probable, why segmentation beats accommodation, and why the answer to "but what if a device can't connect at 24?" is to handle the exception, not punish a thousand clients for it.Design for probable, adjust for possible. Trust your own design.Intro music by Alex Grohl, available here:https://www.youtube.com/watch?v=ZsRWpx8VJ_Eandhttps://pixabay.com/users/alexgrohl-25289918/

This week Ivy Slater, host of Her Success Story, chats with her guest, Parminder Batra. The two talk about redefining career paths as a non-technical founder in the tech industry; the journey from practicing law to creating TraknProtect, a company dedicated to improving hotel staff safety and combating human trafficking; and the powerful impact of mission-driven innovation on both business success and social change. In this episode, we discuss: How TraknProtect's initial concept was sparked by a family frustration with keeping track of personal belongings, and how this evolved into a tech solution. What unique challenges and perspectives Parminder faced as a non-technical founder entering both the tech and hospitality industries. When the pivotal shift occurred to prioritize safety and anti-human trafficking as core missions for TraknProtect, notably around 2017 in response to regulatory and social movements like #MeToo. Why the vulnerability of hotel staff and the prevalence of human trafficking in the hospitality industry highlighted an urgent need for better safety solutions. Who is impacted by the work, emphasizing both hotel employees' safety and survivors of human trafficking, as well as the broader industry's responsibility to protect. Parminder Batra is the Founder and CEO of TraknProtect, a leading hospitality technology company focused on employee safety, operational efficiency, and connected workplace solutions. With a background spanning business, law, mediation, and entrepreneurship, Parminder has built her career around solving complex operational challenges through innovation, strategic leadership, and purpose-driven technology. Since founding TraknProtect, she has led the company's growth into a trusted partner for some of the world's most recognized hospitality brands, such as Hilton, IHG, Peninsula, Accor and several others, helping organizations modernize how they approach safety, communication, compliance, and real-time visibility across their properties. Under her leadership, TraknProtect continues to pioneer solutions including employee safety technology, connected communications, location-based services, and intelligent IoT innovations designed to protect teams while elevating operations. Parminder is also a passionate advocate for workplace safety, women in leadership, and social impact, with a strong commitment to helping organizations create environments where people feel protected, empowered, and supported because she believes Safety is a Right for every person in every organization.  Her leadership combines strategic vision with a deep understanding of the human side of business, driving meaningful change across the hospitality and technology industries. Website: https://www.traknprotect.com/ Social Media Links: https://www.linkedin.com/in/parminderbatra/          

An airhacks.fm conversation with Olimpiu Pop about: discussion about the Java Advent calendar 2025, running AI inference in the enterprise with Java versus python, why inference needs a mature ecosystem, the confusion between machine learning, inference and LLMs, HTTP clients for remote models, TornadoVM for local model acceleration, avoiding premature optimization for LLM-generated code, grounding LLMs against normative Java and Jakarta EE specifications, the separation between API and SPI to eliminate hallucinations, Boundary Control Entity (BCE) structure with self-contained packages for scalable LLM code generation, maximal cohesion and minimal coupling, standards as an effective technique for LLM code generation, MDN web components and custom elements for dependency-free front-ends, reducing context and inference cost with short prompts, AIRails skills site, agents and skills across Copilot and other tools, Eclipse Collections, WebAssembly for Java with Chicory and TornadoVM, pattern matching, Java in industrial and IoT systems at ASML, Legionella water-temperature monitoring with wireless sensors, Apache IoTDB and Apache NiFi, migrating Java Advent to Roq static site generator Olimpiu Pop on twitter: @olimpiupop

Synopsis Épisode d'été chargé, avec Patrick, Francis, Steve et Richer. On ouvre fort : un système de gestion de l'eau d'une ville québécoise a été piraté par un groupe russophone, une information confirmée dans le rapport annuel du Centre de la sécurité des télécommunications. Quelle ville? On ne le sait toujours pas. Et pendant ce temps, les municipalités n'ont ni le budget ni le monde pour se défendre. On parle aussi du CST qui a mené des cyberopérations offensives ayant dérangé des réseaux criminels, de l'Environmental Protection Agency américaine qui a créé une section dédiée à la cybersécurité de l'approvisionnement en eau — pendant qu'Ottawa et Québec regardent ailleurs — et du site web d'une usine de traitement d'eau retiré en panique après notre dernier épisode. Ensuite, gros morceau : les bornes de recharge Flo du Circuit électrique, leur interface web exposée, leurs cartes d'accès, et ce qui arrive quand un chercheur qui divulgue devient l'ennemi à abattre plutôt qu'un allié. On finit avec l'avis conjoint sur le durcissement des routeurs exposés à Internet, la cyber-hygiène IoT à la maison, un négociateur de rançongiciels qui travaillait en fait pour les attaquants, et une discussion franche sur le burn-out en cybersécurité. On dit « 0x296 » à l'audio, mais il s'agit bien de l'épisode 0x297. On a perdu le compte

When organizations review their cybersecurity posture, printers are rarely the first systems that come to mind. Yet they often account for around 20% of network endpoints while receiving, storing, processing, and transmitting sensitive business information every day. In this episode of Tech Talks Daily, I welcome back Jim LaRoe, CEO of Symphion, to discuss why printers and other connected IoT devices have become one of the most overlooked areas of enterprise cybersecurity and why AI-powered attacks are raising the stakes for organizations that continue to ignore them. Jim explains how many businesses continue to treat printers as simple office equipment rather than Linux-based network devices with privileged access to email systems, file servers, identity services, and critical business workflows. Because responsibility for these devices often sits between procurement, managed print providers, IT operations, and security teams, they can easily fall outside normal cybersecurity processes. We discuss how the threat landscape has changed over the past year as AI enables attackers to automate reconnaissance, credential theft, lateral movement, and ransomware deployment. Jim explains why organizations adopting Zero Trust principles also need to rethink how they secure and manage connected endpoints that have traditionally been overlooked. The conversation also explores certificate lifecycle management, cyber hygiene, firmware management, endpoint visibility, and why unsupported devices can introduce unnecessary risk into modern enterprise environments. For organizations managing hundreds or even thousands of printers across multiple locations, Jim explains why protecting these endpoints does not need to create additional operational burden. Instead, security should become an ongoing operational program that continuously monitors devices, detects configuration drift, applies security controls, and helps organizations maintain compliance without disrupting critical business workflows. We also discuss the governance challenge many organizations face. Before companies can reduce risk, someone needs to own it. That means establishing accountability, assigning budget, understanding which devices exist across the business, and recognizing that printers and IoT devices deserve the same attention as servers, laptops, and other managed endpoints. If you're responsible for cybersecurity, IT infrastructure, risk management, or digital transformation, this episode offers practical advice on protecting forgotten endpoints, strengthening Zero Trust strategies, improving endpoint visibility, and reducing the hidden risks that AI-powered attackers are increasingly looking to exploit. Sometimes the biggest cybersecurity vulnerability isn't the system you forgot to patch. It's the one you forgot was connected in the first place.

Hackers are using overlooked IoT devices such as IP cameras, printers and smart speakers to gain access to networks and spread ransomware. Philip Wylie explains how an outdated IP camera became a ransomware gateway, why default passwords and poor segmentation remain serious risks, and how to protect your network using separate VLANs, firmware updates, monitoring and zero-trust controls. The interview also explores medical devices, OT security, AI-enabled devices and the growing demand for IoT penetration-testing skills. Big thanks to ThreatLocker for sponsoring my trip to ZTW26 and also for sponsoring this video. To start your free trial with ThreatLocker please use the following link: https://www.threatlocker.com/davidbombal // Philip Wylie's SOCIAL // X: https://x.com/phillipwylie LinkedIn: / phillipwylie YouTube: / @phillipwylie Instagram: / phillipwylie // Book REFERENCE // The Pentester Blueprint Phillip Wylie: US: https://amzn.to/4jkigAa UK: https://amzn.to/42vShPB // YouTube video REFERENCE // Pentester Blueprint: Your Road to Success: • Pentester Blueprint: Your road to success How to hack IP Cameras (Ethically) and learn IoT hacking: • How to hack IP Cameras (Ethically) and lea... // Website REFERENCE // https://training.brownfinesecurity.com/ // David's SOCIAL // Discord: discord.com/invite/usKSyzb Twitter: www.twitter.com/davidbombal Instagram: www.instagram.com/davidbombal LinkedIn: www.linkedin.com/in/davidbombal Facebook: www.facebook.com/davidbombal.co TikTok: tiktok.com/@davidbombal YouTube: / @davidbombal Spotify: open.spotify.com/show/3f6k6gE... SoundCloud: / davidbombal Apple Podcast: podcasts.apple.com/us/podcast... // MY STUFF // https://www.amazon.com/shop/davidbombal // SPONSORS // Interested in sponsoring my videos? Reach out to my team here: sponsors@davidbombal.com // MENU // 0:00 - Coming Up 0:56 - Intro 03:08 - The Weakness in Pen-testing 07:38 - How Do Hackers Get Access? 11:30 - How To Protect IoT Devices 14:36 - Dangers of Medical IoT Devices 18:24 - Countries Banning IoT Devices 20:46 - Phillip's Recommendations 22:42 - What is Exploit DB 27:30 - How Vulnerable Are You? 28:28 - Advice To The Youth 29:40 - How To Start Learning 31:15 - Conclusion 31:23 - Threatlocker Advert Please note that links listed may be affiliate links and provide me with a small percentage/kickback should you use them to purchase any of the items listed or recommended. Thank you for supporting me and this channel! Disclaimer: This video is for educational purposes only. #iot #iothacking #security

CNBC reported that Qualcomm plans to raise prices during a memory crunch and issued light earnings guidance on July 29, 2026. Qualcomm supplies Snapdragon processors and 5G modems to smartphone, PC, and IoT makers, so pricing changes affect device costs and launch plans. Tight memory supply from vendors such as Micron, SK Hynix, and Samsung is lifting bills of materials across phones and laptops. Device makers may absorb costs, pass them to consumers, or redesign products, while carriers and retailers adjust promotions. Investors will watch average selling prices, gross margins, and inventory levels as guidance remains cautious. Founders should plan for component inflation, second source options, and potential slowdowns in device refresh cycles.Learn more on this news by visiting us at: https://greyjournal.net/news/ Hosted on Acast. See acast.com/privacy for more information.

Checkout is getting faster, smarter, and more invisible, but the stakes feel more human than ever. We talk with Jaime Hawkins, Managing Director, North America at Ingenico, about what it takes to build technology that quietly works in the background while people stay front and center. From her roots in industrial engineering to years of client-facing operations, Jaime explains how process thinking and data analytics shaped her into a different kind of commercial leader and why one mentor's blunt advice changed the direction of her career.We also dig into what is actually powering modern commerce: not only sleek payment terminals, but platforms and open API integrations that help partners reduce complexity and build tailored point of sale experiences. Jaime shares why payments are “no longer just about taking a payment” and how merchants can turn everyday interactions into actionable intelligence, from understanding customer behavior to improving store performance and delivering personalization like loyalty snapshots and targeted offers.Trust is the thread running through everything. As embedded payments, digital wallets, automation, and even digital assets evolve, Jaime argues that innovation must move hand in hand with security and confidence or commerce starts to crack. Looking forward, we explore the shift from physical hardware to digital interactions driven by biometrics, AI, IoT, and conversational commerce, and what merchants risk losing as the checkout moment gets thinner and thinner.

Send us Fan MailThis week on Making Data Simple, join Ajay Kulkarni, CEO and co-founder of TigerData, as we dive into the rapidly evolving world of data. Ajay shares his front-row perspective on the challenges and opportunities of building and scaling time-series databases in an era of AI-driven automation.From the mechanics of managing massive data streams to the bold bets shaping the future of IoT, this conversation goes deep into what's breaking, what's working, and what's next. Whether you're a data engineer, tech leader, or simply fascinated by the speed of AI innovation, this episode is packed with insights you won't want to miss.01:15 Meet AJ Kulkarni 04:29 TigerData 07:16 Timeseries 09:25 Use Cases 11:03 Why Progress? 11:58 Why TigerData 16:05 AI is Everything 21:06 The Fastest Postgres 25:45 Advanced Features 28:53 Future of IoT 36:48 The Future of TigerData 38:03 San Francisco 38:26 A Big Bet 41:06 Good BooksLinkedIn: https://www.linkedin.com/in/ajaykulkarni/ Website: https://tigerdata.comWant to be featured as a guest on Making Data Simple?  Reach out to us at almartintalksdata@gmail.com and tell us why you should be next.  The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. 

Send us Fan MailThis week on Making Data Simple, join Ajay Kulkarni, CEO and co-founder of TigerData, as we dive into the rapidly evolving world of data. Ajay shares his front-row perspective on the challenges and opportunities of building and scaling time-series databases in an era of AI-driven automation.From the mechanics of managing massive data streams to the bold bets shaping the future of IoT, this conversation goes deep into what's breaking, what's working, and what's next. Whether you're a data engineer, tech leader, or simply fascinated by the speed of AI innovation, this episode is packed with insights you won't want to miss.01:15 Meet AJ Kulkarni 04:29 TigerData 07:16 Timeseries 09:25 Use Cases 11:03 Why Progress? 11:58 Why TigerData 16:05 AI is Everything 21:06 The Fastest Postgres 25:45 Advanced Features 28:53 Future of IoT 36:48 The Future of TigerData 38:03 San Francisco 38:26 A Big Bet 41:06 Good BooksLinkedIn: https://www.linkedin.com/in/ajaykulkarni/ Website: https://tigerdata.comWant to be featured as a guest on Making Data Simple?  Reach out to us at almartintalksdata@gmail.com and tell us why you should be next.  The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. 

In this episode, Sai breaks down why he deliberately chose a services business over pure SaaS, how a human-in-the-loop model creates a defensible moat in a world increasingly disrupted by Claude and ChatGPT, and why acquiring books of business from retiring CPAs is one of the most underrated go-to-market strategies nobody is talking about. He also shares the three categories of SaaS he believes will survive the AI disruption — and why everything else is in serious trouble.If you're building in a high-stakes industry or trying to compete where trust is currency, this episode is essential listening.Key Takeaways4:12 – Guest intro: Sai Dhanak — two exits, four patents, from Caribou to Latch to Deduction4:33 – What shipping early and obsessing over design taught Sai about building products people want5:35 – The connecting thread across cybersecurity, IoT, and service design patents7:00 – Seven years at Latch: What going from seed to IPO really teaches you about scale7:45 – "More money, more problems" — why lean is a feature, not a constraint8:28 – The compounding risk of bad hires at scale8:57 – What Deduction actually does: AI-native H&R Block for a fraction of the price9:33 – Real-time example: How Sai's wife emailed a charitable donation to the AI agent mid-year12:38 – The deliberate bet on services over pure SaaS — and why it was the right call14:07 – The AI SaaSpocalypse: Three types of SaaS that will survive disruption16:27 – How the human-in-the-loop model works operationally (Deduction OS)20:04 – Why Sai left Latch right after the IPO — the mental playbook he was building22:00 – The co-founder advantage: Moving faster because you already trust each other23:33 – The fractional-to-full-time hiring model that built the team efficiently25:17 – The critical fork in the road: Full-stack tax firm vs. selling software to accountants28:00 – Why the B2B SaaS tax market is flooded and the personal accountant market is fragmented29:20 – The personal accountant market: 18B, fragmented, no dominant player except H&R Block32:00 – Why TurboTax and DIY tax software are getting eaten by ChatGPT and Claude30:00 – Email as the primary channel: The internal debate and why async won31:24 – Why email is more enduring than it looks — even for Gen Z32:23 – The trust premium of human touch in an increasingly AI world36:15 – The onboarding call insight: 15 minutes with a human = customers happily working with AI37:57 – Acquiring books of business from retiring CPAs as a go-to-market engine40:57 – The referral flywheel: Emailing taylor@deduction.com directly, no app required41:25 – What Sai would do differently: Start acquiring firms sooner; build partnerships earlier43:40 – Flat architecture, "everyone is a builder," and why the 1-person company is the wrong aspiration45:36 – The most fulfilling part of building a company is always the people46:10 – The question every founder should be asking: Do you love this problem enough to work on it for 10 years?Tweetable Quotes"The most interesting opportunity in the AI era isn't building tools that replace humans. It's building businesses that use AI to make humans dramatically better — while keeping the one thing AI can't provide: trust." — Jeff Mains"AI can process the data. But it can't sign its name to it. Can't sit across from a client and take the blame when things go wrong. That's still you." — Jeff Mains"The intelligence of AI with the trust of a human. That's Deduction." — Sai Dhanak"In an ever-increasingly AI world, the human touch will have an ever-increasing premium." — Sai Dhanak"People don't want to sit in front of a chat box doing their taxes. The whole point of having an accountant is so you can go do something else." — Sai Dhanak"More money, more problems. When you're lean and scrappy, you stay focused. Raise too much capital and focus becomes exponentially harder." — Sai Dhanak"Do you love this problem enough to still be working on it in 10 years? Not the trend — the problem." — Sai Dhanak"Every founder, when asked what the highlight was, says the same thing: bringing on amazing people who are now my friends." — Sai Dhanak"Trends fade. Trust doesn't." — Jeff MainsSaaS Leadership Lessons1. The three types of SaaS that survive AI disruption Sai identified a clear framework early: the only SaaS that holds value long-term are (1) businesses with hardcore integration moats you can't vibe-code (like Stripe), (2) ledgers and systems of record that are structurally difficult to disrupt, and (3) anything that requires a human liability backstop. If your SaaS doesn't fit one of those three, it's at risk.2. The human in the loop is a competitive moat, not a limitation Rather than chasing full automation, Deduction deliberately built a model where licensed tax professionals review, verify, and sign off on AI-generated work. That signature requirement — mandated by the IRS — is baked-in defensibility. In high-stakes industries, the human backstop isn't a workaround. It's the whole product.3. Ship early, obsess over design Going back to his first company, Caribou (sold to Mattel), Sai learned two lessons that still guide him: launch before you're ready to get real feedback fast, and invest heavily in design and experience. In an AI world where anyone can build anything, experience is what differentiates.4. Lean is a feature, not a constraint After watching Latch raise hundreds of millions of dollars and experience the chaos that came with it, Sai deliberately built Deduction as a lean, flat organization. The goal isn't a one-person billion-dollar company — it's high margins with a small team that can move fast, maintain quality, and stay culturally tight. Every hire matters exponentially more in a small company.5. Choose your channel based on operational reality, not trend The decision to lead with email over chat or SMS wasn't a legacy move — it was a strategic one. Email's async nature gave Deduction manageable response windows as an early-stage company while also matching the customer expectation: "I hired an accountant so I don't have to sit and do this myself." Build for your operational reality first, then open faster channels as you can guarantee the experience.6. Acquire instead of just acquiring customers One of Deduction's most powerful go-to-market moves is buying books of business from retiring CPAs. The market for small accounting firms is fragmented and surprisingly liquid — entire websites are dedicated to the sale of these practices. Instead of competing cold for customers, Deduction inherits trusted relationships already built. It's an asymmetric growth lever that most founders never consider.Guest Resourcessai@deduction.comhttps://deduction.com/www.linkedin.com/in/saayujhttps://x.com/SaiDhanakEpisode SponsorThe Futureproof Series - https://www.youtube.com/playlist?list=PLfkXKUPZ5xuOqMPR7_gzGybncTtavyR1NThe Captain's KeysSmall Fish, Big Pond – https://smallfishbigpond.com/ Use the promo code ‘SaaSFuel'Champion Leadership Group – https://championleadership.com/https://jeffmains.com/books/SaaS Fuel ResourcesWebsite - https://championleadership.com/Jeff Mains on LinkedIn - https://www.linkedin.com/in/jeffkmains/Twitter - https://twitter.com/jeffkmainsFacebook - https://www.facebook.com/thesaasguy/Instagram - https://instagram.com/jeffkmains

In this episode, sponsored by GuardSquare (guardsquare.com), Ken Johnson and Seth Law discuss OpenAI's reported Hugging Face security incident, questioning whether the model demonstrated genuinely novel offensive capability or mostly chained known vulnerability patterns at high inference cost, while also considering the defense-contract and marketing angles around "dangerous" frontier models. The main technical discussion returns to AppSec fundamentals through an article on preventing IDOR, emphasizing authorization as a core control, the difficulty of role and tenant isolation in complex systems, and the need for framework-level patterns, typed IDs, tenant checks, and thorough authorization testing. They also cover Krebs' reporting on LG banning residential proxy SDKs from smart TV apps, explaining how free TV apps can turn consumer devices into proxy infrastructure and why IoT app ecosystems need stronger review. The episode closes with DEF CON logistics, Hacker Tracker updates, and upcoming guest plans.

IT modernization carries unanticipated risks. Take operational technology, or OT, as an example. As modernization has increased the number of OT and IoT assets across many federal locations, it has also introduced new vulnerabilities. Federal leaders are warning that the situation has reached a tipping point. CISA maintains a growing list of vulnerabilities, and the NSA has issued warnings about OT and IoT risks. A recent SANS report indicated a 20% increase in confirmed OT attacks. To explore these challenges, we sit down with Chris Grove, Director of Cybersecurity Strategy at Nozomi Networks, to discuss the cyber-physical security challenges facing the federal government, particularly the modernization of older OT systems. He highlighted the difficulties in maintaining asset inventories, the impact of AI in both attacks and defenses, and the complexities of implementing zero trust in OT environments. During the interview, Grove addresses topics such as remote access, older technology not designed for updates, and OT devices that move around on ships and planes. Thirty years ago, "unified communication" was introduced by technology like VoIP. With the proliferation of OT devices, Grove recommends a unified security architecture. Grove emphasized the importance of resilience and the need for AI-enhanced tools to manage alerts and anomalies effectively. He also noted growing concerns about drone security and the significant workload expected to result from AI-discovered vulnerabilities.  

Delve into the transformative world of AI in the produce industry with host Vonnie Estes and guest Steve Statler, CEO of AmbientChat AI. Explore the intersection of AI, IoT, and supply chains, focusing on how agentic AI can revolutionize food logistics by enhancing efficiency, reducing waste, and improving consumer experiences. Gain insights into the implications of data ownership, AI standards, and the evolving dynamics between tech giants and traditional players. This episode offers a comprehensive look at the future of food supply chains and the vital role of AI.Key TakeawaysAgentic AI: Moves beyond data visibility, offering actionable insights and system-wide improvements in the produce supply chain.Data Ownership: Crucial for leveraging AI technologies in supply chains; businesses must ensure control over their data to retain agency.Physical AI in Logistics: Innovations like sensor-tagged shipping crates drastically improve supply chain efficiency and minimize waste.Consumer Empowerment: AI can customize and optimize food buying decisions, potentially increasing fresh produce consumption.European Initiatives: Europe's efforts in digital product passports may set a global standard for ethical data management in supply chains.Guest ResourcesSteve Statler is the CEO of AmbientChat AI and the host of the Mr. Beacon podcast. With an extensive background at the intersection of AI, ambient IoT, traceability, and supply chains, Steve is a recognized thought leader in the technology sector. His previous work with Wiliot, an Israeli semiconductor company, highlighted his innovation in ambient IoT, pioneering advances like affordable and ubiquitous temperature-sensing tags. Steve is passionate about the transformative potential of AI in physical supply chains, seeking to enhance efficiency and sustainability.Show LinksInternational Fresh Produce Association - https://www.freshproduce.com/Fresh Takes on Tech - https://www.freshproduce.com/resources/technology/takes-on-tech-podcast/Facebook - https://www.facebook.com/InternationalFreshProduceAssociation/Twitter - https://twitter.com/IntFreshProduce/LinkedIn - https://www.linkedin.com/company/international-fresh-produce-association/Instagram - https://www.instagram.com/intlfreshproduceassn/

What do you get when you combine a building with IoT, AI, and analytics?Find out as we sit down with Michael D'Angelo, Chief Revenue Officer of the Automated Group and Cybersuite X, for an insightful dive into smart buildings and how they're transforming everyday life.Throughout the episode, Michael shares how different technologies are coming together to make buildings smarter for residents and property managers. He shares the most exciting and most underestimated technologies, including AI's growing influence, cloud, and analytics. We also explore how technology can be used to transform existing spaces and key considerations for retrofitting a building.Don't miss the chance to learn how spaces are continuing to get smarter.  For more information about Axis Communications, visit us at www.axis.comFollow us on social media at Axis Communications - Home | FacebookAxis Communications: My Company | LinkedInAxis North America (@Axis_NA) / TwitterAxis Communications USA - YouTube

Public Key Infrastructure (PKI) underpins nearly every secure interaction in modern IT, but it's also one of the most misunderstood and overlooked foundations of security.In this episode of Secure IT, host Jason Kikta is joined by Mark Cooper, CEO and founder of PKI Solutions, to unpack why PKI is so critical to identity, authentication, and trust, and what happens when it fails.They explore how certificates enable passwordless authentication, secure TLS connections, IoT devices, endpoints, and enterprise systems, while also examining why misconfigured or poorly monitored PKI environments often become an attacker's fastest path to privilege escalation. From certificate expirations and operational outages to real-world breach scenarios and pen test failures, this conversation maps the full PKI risk spectrum.Jason and Mark also challenge a common assumption in cybersecurity: that recovery equals resilience. Instead, they argue that true resilience means staying secure and operational, even during misconfiguration, failure, or attack.Whether you're new to PKI or responsible for running it, this episode will change how you think about identity infrastructure, resilience, and trust.Topics covered:- What PKI is and why most organizations already depend on it- Certificates, passwordless authentication, and digital identity- How PKI misconfigurations enable high-impact attacks- Why recovery is the weakest form of resilience- The hidden operational and security risks of foundational systems

What is your sleep really telling you about your long-term health? In this episode, Peggy Smedley sits down with Dr. Pierre Escourrou, Senior Medical Advisor at Withings and practicing cardiologist, to unpack groundbreaking research linking nighttime breathing patterns to arterial aging — and what that means for your cardiovascular health. They explore: How sleep apnea and snoring accelerate arterial stiffness Why a single night of sleep data leads to 20% misdiagnosis rates — and how continuous monitoring changes that The power of connected device ecosystems (IoT) over standalone wearables How AI + IoT data is shifting medicine from treatment to prevention What conditions — including hypertension, heart failure, COPD, and menopause — may be detectable years earlier using devices like the Withings Sleep Analyzer and smart scale The regulatory and insurance hurdles still standing in the way Whether you're a health tech enthusiast, a clinician, or someone who just wants to understand their sleep data better, this episode is packed with insights you won't want to miss. Learn more at withings.com 

This show has been flagged as Explicit by the host. Show Notes Episode Overview Operator kicks off the episode feeling under the weather but shares a quick tip for making perfect egg drop soup before diving into his main project: diagnosing why his front-door security camera stopped sending alerts and recording events. What follows is a live-debugging session covering network config, script logging, Windows permission hacks, NTP time drift, and firmware flashing. Key Topics & Breakdown Egg Drop Soup Hack: How to get that perfect ribbony texture by creating a boiling swirl before pouring in the eggs, plus broth-to-egg ratio tips. Camera Setup & Network Config: Using static DHCP via MAC address binding on a UniFi Dream Machine (UDM) for local domain resolution instead of hardcoding IPs. Python & Cron Automation: Running a custom Python script every 2 minutes to check for new recordings, parsing logs with grep -v , and navigating massive log files in vi . Windows Troubleshooting Tangent: Deleting the stubborn Windows.old folder using the TrustedInstaller service hack ( ExecTI.exe ) instead of taking ownership manually. Time Sync & Firmware Quirks: Discovering the camera's system clock was stuck in 2011/2026, causing missed events. Downloading firmware via a slow third-party link, renaming .bin to .zip , and extracting with 7-Zip. Pre-Flash Backup Routine: Exporting camera configuration before upgrading, storing it in Google Drive for searchable documentation, and clearing old log/trigger files to reset the event pipeline. ️ Tools & Techniques Mentioned crontab + Python scripts for automated monitoring grep -v , cat , tail , and vi (line navigation with :1000 ) Obsidian for note-taking & AI assistant integration Firefox/Playwright for headless browser testing Turbo Download Manager & Bolt Media Downloader for multi-threaded/sniffing downloads 7-Zip for archive extraction Google Drive for searchable config backups Resources & Links Python API Script: Uniview IPC3628SR Recording Checker Camera Model: IPC3628SR (Uniview Wyze ISP Warm Light Deterrent Network Camera) TrustedInstaller Run-as Tool: ExecTI TrustedInstaller Runner Quick Takeaways Always verify NTP/time sync on IoT cameras before troubleshooting missed events or alerts. Use grep -v "noise" to quickly filter out repetitive log entries when debugging automation scripts. Windows system folders can be stubborn; running commands as TrustedInstaller bypasses hidden file locks without manual ownership changes. Always export and back up device configs before flashing firmware, even if the upgrade seems straightforward. Third-party download links often use temporary tokens or .bin wrappers; renaming to .zip and verifying with 7-Zip can save headaches. Thanks for listening! Stay curious, keep your logs clean, and remember: defense in depth starts at home. Example trusted installer hack # Shhhh I can't IR ... Defender, ForcePoint, SMS Agent Host ...I just can't anymore ... sc config TrustedInstaller binPath= "Reg add "HKEY_LOCAL_MACHINESYSTEMCurrentControlSetServicesSense" /v Start /t reg_dword /d 4 /f" sc start "TrustedInstaller" sc config TrustedInstaller binPath= "Reg add "HKEY_LOCAL_MACHINESYSTEMCurrentControlSetServicesFppsvc" /v Start /t reg_dword /d 4 /f" sc start "TrustedInstaller" sc config TrustedInstaller binPath= "Reg add "HKEY_LOCAL_MACHINESYSTEMCurrentControlSetServicesCcmExec" /v Start /t reg_dword /d 4 /f" sc start "TrustedInstaller" sc config TrustedInstaller binPath= "Reg add "HKEY_LOCAL_MACHINESYSTEMCurrentControlSetServicesWinDefend" /v Start /t reg_dword /d 4 /f" sc config TrustedInstaller binPath= "C:WindowsservicingTrustedInstaller.exe" Provide feedback on this episode.

Send us Fan MailAI is moving at breakneck speed, but the plant floor still runs on trust, habit, and hard-earned routines. We sit down with Vinit to unpack the real challenge behind “digital transformation” in reliability: designing tools that work for an experienced workforce that values buttons, PDFs, and proven processes, while also meeting the expectations of early-career engineers who want fast answers, mobile access, and connected systems.We get practical about what actually closes the gap. Instead of big-bang rollouts, we talk roadmaps, small experiments, and pilots that demonstrate value without risking operations. We also draw a firm line around safety and accuracy: in reliability engineering, there is no room for hallucination. A fault has to be a fault, and any AI-assisted workflow must be validated, secure, and compliant across industries and markets.From there, we zoom out to connected reliability and why data trapped in folders and silos limits predictive maintenance, pattern recognition, and decision-making. We explore how central platforms such as CMMS and connected ecosystems enable sharing, faster analysis, and better prioritisation, even when legacy equipment and mixed vendors complicate integration. We also touch on how “retro” tech keeps a foothold, and why value is better measured by outcomes than by the physical box in your hand.If you care about asset reliability, maintenance strategy, industrial IoT, condition monitoring, and the culture that makes change stick, you'll take plenty from this conversation. Subscribe for more, share it with a colleague who's wrestling with adoption, and leave us a review with your answer: what would make new tech truly trustworthy in your plant?Support the show

None of us signed up to help train superintelligence. That's the case Don Shin, CEO of CrossComm, makes on this episode of High Octane Leadership — and it's just one of the uncomfortable ideas he brings to the table about AI.Don has spent 25 years building digital products, from Netscape-era websites to mobile apps to AI-driven platforms, and he tells Donald Thompson plainly: AI is a bigger shift than the internet ever was. Not because the technology is flashier, but because it automates judgment and decision-making, not just deterministic tasks — and it's moving faster than society has time to adjust to.The conversation covers a lot of ground: why 30,000 layoffs at a profitable Oracle are really an AI-infrastructure bet, why anxiety about AI is turning into outright resistance, and Don's case for a “token tax” — a proposal to tax the electricity and water consumption of AI data centers so the economic gains of AI don't just accrue to a handful of companies that trained their models on data none of us knowingly volunteered.Don shares the PROMPT framework, a five-part method for getting better results out of any AI tool, and a sobering warning about AI sycophancy: an assistant that never disagrees with you is not therapy, and it's not friendship either.This is a conversation about where the next five years of work, leadership, and human connection are headed — and what to do about it before the choice is made for us.Key Talking PointsThe Abundance of Intelligence — Don's framework for understanding AI as an economic shift on the scale of previous “abundance” moments in history — and why this one is moving faster than any before it.AI Anxiety Becomes AI Resistance — Why simply reassuring employees isn't enough, and what leaders actually need to offer people to bring them along.The Case for a Token Tax — Don's proposal to tax the electricity and water consumption of AI data centers, and why he believes the true cost of AI tokens is being artificially subsidized.You're Using Claude Wrong — Donald's own experience learning that an AI's first two drafts are educated guesses — and what changes once you actually train the tool on your voice and judgment.The Danger of Sycophancy — Why an AI that never disagrees with you may be a bigger risk to the next generation than job displacement.The PROMPT Framework — Don's five-part model — Persona, Request, Output, Mandatories, Priority — for getting dependable results out of any AI tool.About the GuestDon Shin is CEO of CrossComm, a digital product studio he founded as an undergraduate — building websites in the Netscape 1.1 era before leading the company through mobile apps, augmented and virtual reality, IoT, and now AI-driven development. A 25-plus year technology industry veteran and Duke University alum, Don is a sought-after speaker on artificial intelligence and its impact on business and society. He is the creator of the PROMPT framework, a practical model for effective AI prompting, and Speak To My Future Self, a personal AI reflection tool.ResourcesCrossComm: https://www.crosscomm.com/Don Shin LinkedIn: https://www.linkedin.com/in/donshin1/Donald Thompson LinkedIn: https://www.linkedin.com/in/donaldthompsonjrDonald's Newsletter & Substack: https://substack.com/@donaldthompsonjrDonald's Books: https://donaldthompson.com/books-resources/Stay connected with Donald: Get his newsletter packed with actionable insights and the kind of straight-talk leadership intelligence that helps build authority, drive performance, and stay ahead of what's coming next: donaldthompson.com. (00:00) - — Cold Open: The Data We Didn't Know We Were Giving Away (01:00) - — Welcome Don Shin, CEO of CrossComm (02:00) - — The Abundance of Intelligence: How AI Changes the Automation Equation (04:00) - — Why AI Is Bigger Than the Internet: Don's CrossComm Origin Story (06:00) - — The Velocity Problem: Why Buffer Time Matters for Economic Disruption (07:00) - — Oracle's Layoffs and the Rising Anxiety Data (08:00) - — It's Not Just AI Anxiety, It's AI Resistance (10:00) - — The Controversial Take: Game Theory and a Broken System (11:00) - — The Case for a Token Tax (13:00) - — Reddit, Data, and the Price of “Free” AI Tools (15:00) - — You're Using Claude Wrong: Donald's Lawnmower Analogy (18:00) - — Let AI Do the Routine So Teams Can Do the Remarkable (20:00) - — Why Top-Down AI Mandates Failed in 2025 (22:00) - — The Loneliness Economy: Why Therapy Is AI's #1 Use Case (23:00) - — The Danger of AI Is Sycophancy (27:00) - — Assigning a Persona: Why AI Defaults to Reassurance (28:00) - — The PROMPT Framework (31:00) - — The Next Problem: What Happens When Token Costs Explode 5–10x (34:00) - — Closing Thoughts: Lead From the Front High Octane Leadership is hosted by The Diversity Movement CEO and executive coach Donald Thompson and is a production of Earfluence.Order UNDERESTIMATED: A CEO'S UNLIKELY PATH TO SUCCESS, by Donald Thompson.

Qualcomm just held its 2026 Investor Day, and the headline number is a new $15 billion AI data center revenue target for 2029 — up from essentially zero two years ago. We break down whether this fabless smartphone-royalty giant can actually pull off a pivot into AI data centers.We cover the AlphaWave Semiconductor acquisition and why Arm-based data center networking IP matters to hyperscaler customers, Qualcomm's 3D-stacked silicon packaging approach designed to work around the high bandwidth memory bottleneck amid the 2026 memory shortage, and the Modular acquisition — an AI-native software platform positioned as a potential CUDA alternative. On fundamentals, we walk through the revenue mix as smartphone growth slows to a 5% CAGR following the Apple wind-down, and why automotive and IoT are beating original targets. We close with a reverse DCF on the ~$190 stock price to see how much growth is already priced in, and why QCOM still holds a place in our portfolio as a diversified, value-oriented semiconductor stock.Content is for general information and entertainment only, not individual investment advice. All investing involves risk, including loss of principal. CSI owns shares of Qualcomm.Semi Insider members get full access to our research platform and tools. Join at chipstockinvestor.com.

The episode highlights a structural weakness in the current cybersecurity product ecosystem, where the process of certification and lab-based product validation often fails to ensure meaningful security. The episode focuses specifically on how regulatory and certification frameworks—such as those linked to device and software security—are largely decoupled from true technical evaluation, enabling both vendors and labs to use certification badges as symbolic rather than substantive assurances of security. According to Adwait Nadkarni, this decoupling allows manufacturers to treat compliance as a liability shield, rather than as a measure of robust risk mitigation. The most consequential finding, as articulated by Adwait Nadkarni, is that many certified security products can deliberately evade both automated and human review processes, with vulnerabilities designed to look secure while quietly exposing risk. The episode references certification structures such as SOC 2 and detailed research into IoT device certification, finding that certification labs often compete on speed and convenience instead of technical rigor. This creates a situation where certified products may still contain basic, decades-old flaws, with operators and MSPs left without practical recourse when technology fails. Other related developments reinforce the risk transfer created by certification mechanisms. Vendors frequently utilize broad liability disclaimers in end-user licensing agreements, explicitly or implicitly excluding themselves from responsibility for product failures—even in scenarios involving harm or downtime. Adwait Nadkarni points to practices where smoke detectors and other security products use ambiguous language about acceptable use and warranty, further reducing vendor accountability. Labs themselves generally disclaim any responsibility for the certified products' behavior once deployed, emphasizing a system with diffuse or absent accountability. For MSPs and IT leaders, these developments underscore the need to move beyond reliance on certifications and vendor marketing. Operators should critically assess the actual language and protections embedded in contracts, focusing on enforceable liability rather than assuming technical validation from a certification badge. Absent regulatory reform or industry-wide consortia to create and uphold real minimum standards, the practical task for service providers is to minimize exposure to legal and operational risk by scrutinizing the fine print of contracts, seeking clear remedies for technology failures, and tempering trust in vendor assurances that cannot be independently verified. Supported by: GuardzCometBackup

Deepti Yenireddy, Founder and CEO of Boon, joins Gareth McGlynn to talk about building AI that can actually read construction drawings. A second-time founder, Deepti exited her first company, HR tech platform My Ally, and led product at IoT leader Samsara before turning her focus to preconstruction.Key Topics Covered:What Boon Does: Helping preconstruction teams bid more, bid better, and bid more accurately, at 10x to 100x speed.The AI Estimator: Deepti announces Boon's first preconstruction AI employee, working the full lifecycle from project invite to final proposal.Hallucination and Human Control: How estimators stay in the loop with a visual review platform and links back to the agent's sources.Accuracy and F1 Scores: Why Boon publishes accuracy scores for every trade and scope, and why below 90 percent creates user friction.Boon vs Generic LLMs: Why ChatGPT and Gemini can read the text in your drawings but cannot tell where a line starts and stops.Implementation and ROI: A one-hour onboarding, and a GC customer who generated 430 extra hours in a year with one person using the agent.And much, much more.You can connect with Deepti via her Linkedin: https://www.linkedin.com/in/deepti-yenireddy/

Analyst roundtable covering the big ideas in technology that are changing the world, with Adrian Cockcroft, Stephen Perrenod, Chris Kruell, and Shahin Khan. In this episode: - TOP500 - Bitcoin - AI - Space tech - Fusion energy [audio mp3="https://orionx.net/wp-content/uploads/2026/07/OXD038_ART-14_TOP500-BTC-AI-Space-Fusion_20260623.mp3"][/audio] The post Analyst RoundTable: TOP500, Bitcoin, AI, Space, Fusion – OXD38 appeared first on OrionX.net.

In this episode, I sat down with Robert Schram from Cedes to talk about how technology is reshaping the elevator industry. Robert's path into elevators started in construction, laying flooring to fund surfing trips, before eventually working his way from field repair into some of the most advanced conversations happening around IoT, predictive maintenance, and smart buildings. We discussed the evolution of elevator safety, what it means to “unleash the voice of the elevator,” and how new technology could transform the way elevators are maintained.Chapters:00:00 Intro01:40 Journey into the Elevator Industry05:52 Innovations in Elevator Safety Technology07:49 The Future of Elevator Maintenance10:14 Data-Driven Decision Making in Elevators13:35 The Role of IoT in Elevators15:45 Challenges in Adopting New Technologies19:22 The Importance of Transparency in Elevator Services27:41 Smart Behavior and Future Innovations31:36 Elevators in the Connected Building of the Future34:38 Advice for the Next Generation in the Industry35:55 OutroResources: Subscribe: https://www.youtube.com/@elevatorcareers/ Submit a Topic Idea for the Podcast: https://elevatorcareers.net/ Connect With Us: linktr.ee/AllredGroupA Message From Our Sponsor: Looking for top-tier talent to join your team? Call The Allred Group for your elevator recruiting needs! With a deep network and unmatched industry expertise, we quickly connect you with skilled professionals who are ready to elevate your team. Let us handle the hiring process, so you can focus on growing your business with the best in the industry. Reach out today, and let us help you take your business to new heights! To contact us go to: https://allredgroup.com

Was hat eine intelligente Lampe mit Versicherungen, Prävention und der Zukunft von Smart Home zu tun?Mehr als man auf den ersten Blick vermuten würde. In dieser Episode spricht Sebastian Langrehr und Julius Kretz mit Olaf Schindler, Gründer von vreeda, über die spannende Schnittstelle zwischen IoT, Smart Home und Versicherungen. Gemeinsam diskutieren sie, warum Prävention oft an der Realität der Kunden vorbeigeht, weshalb Versicherer neue Wege in der Kundenbeziehung gehen müssen und wie intelligente Lichtsysteme dabei helfen könnten, Einbrüche zu verhindern, ältere Menschen länger selbstständig leben zu lassen oder gesündere Gewohnheiten im Alltag zu fördern.Dabei geht es um Daten, Ökosysteme, Innovation, die Zukunft der Wohngebäudeversicherung und die Frage, warum die nächste große Disruption der Versicherungsbranche möglicherweise nicht aus der Versicherungswelt selbst kommt. Eine Episode voller ungewöhnlicher Ideen, neuer Perspektiven und konkreter Impulse für alle, die verstehen wollen, wie Versicherung, Technologie und Prävention künftig zusammenwachsen könnten. #InsuranceMonday #SmartHome #IoT #InsurTech #Versicherung #Prävention #ConnectedHome #Digitalisierung #Innovation #Datenökonomie #Ökosysteme #FutureOfInsuranceSchreibt uns gerne eine Nachricht!Folge uns auf unserer LinkedIn Unternehmensseite für weitere spannende Updates.Unsere Website: https://www.insurancemondaypodcast.de/Du möchtest Gast beim Insurance Monday Podcast sein? Schreibe uns unter info@insurancemondaypodcast.de und wir melden uns umgehend bei Dir.Dieser Podcast wird von dean productions produziert.Vielen Dank, dass Du unseren Podcast hörst!

Sammy Azdoufal is a cybersecurity researcher and head of AI at ETERNITI. He discovered a vulnerability affecting over a million baby monitors and security cameras worldwide, which allowed him to access live feeds from those devices with no hacking required. In this episode, Azdoufal joins host Heather Engel to discuss his research, regulations in the consumer IoT industry, and more. • For more on cybersecurity, visit us at https://cybersecurityventures.com

In this episode of the IoT For All Podcast, Wienke Giezeman, CEO and co-founder of The Things Industries, joins Ryan Chacon to discuss how IoT is finally delivering what it promised ten years ago. The conversation covers what changed technically and commercially, the ROI of IoT, why deployments failed in the early days, criticism of IoT, what companies still get wrong about LoRaWAN, and The Things Conference 2026.Wienke Giezeman is the CEO and co-founder of The Things Industries, one of the leading LoRaWAN infrastructure providers worldwide. Alongside CTO and co-founder Johan Stokking, he has spent the past 10 years enabling enterprises to build scalable, secure sensor-to-cloud solutions using LoRaWAN.The Things Industries provides enterprise-grade LoRaWAN solutions that help organizations worldwide deploy and scale secure IoT infrastructure. Its LoRaWAN Network Server, The Things Stack, powers millions of devices across industries such as utilities, logistics, agriculture, and smart cities.Discover more about IoT and LoRaWAN at https://www.iotforall.comFind IoT solutions: https://marketplace.iotforall.comMore about The Things Industries: https://www.thethingsindustries.comThe Things Conference: https://www.thethingsconference.comConnect with Wienke: https://www.linkedin.com/in/wienke/Subscribe on YouTube: https://bit.ly/2NlcEwmJoin Our Newsletter: https://newsletter.iotforall.comFollow Us on Social: https://linktr.ee/iot4all

Gianni Cuozzo is founder and CEO at Exein. Exein is an OT and IoT security company providing enhanced endpoint monitoring, and the company has really hit its stride in the last couple of years having raised 100M euros in late 2025. As Gianni talks about in the episode, it's been a long journey. He started his career in the intelligence community like some of the other OT security greats like the founders of Dragos, Claroty, and Armis. But when he started Exein in 2018, the market was not yet ready for his product. He knew that the adoption of new generation, more capable OT devices would present new security tooling opportunities, and he was willing to be patient for that moment. In the episode we discuss OT security dynamics, market timing, positioning as deep tech vs cyber, and more.

Ajay Kulkarni grew up in tech, as his father was a tech entrepreneur selling PC's in the early 80's. He went to college in MIT, and eventually founded a startup that was acquired by GroupMe (while it was being acquired by Skype... while they were being acquired by Microsoft). He's always been attracted to building things, so startups are right up his alley. Outside of tech, he is married with 2 young kids. He is a big exercise guy... he loves to run, swim and track his steps. Additionally, he loves music - to listen, and to play guitar, piano and drums.Ajay and his co-founder met 30 years ago at MIT. They reconnected after years of doing their own thing, starting to dig into the iOT world. In doing this, they built a database because they the best solution to store this data... and in doing so, they unlocked their next venture out of this necessity.This is the creation story of Tiger Data.SponsorsUnblockedTECH DomainsMezmoBraingrid.aiLinkshttps://www.tigerdata.com/https://www.linkedin.com/in/ajaykulkarni/Our Sponsors:* Check out Cash App and use my code CASHAPP10 for a great deal: https://cash.app* Check out Plaud AI and use my code CODESTORY for a great deal: https://plaud.aiAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

AI is making our technology smarter… but it's also making it much, much hotter. With higher demand for HPC and enterprise AI, data centres are having to adapt to meet the changing demands on the modern world. This week, Technology Now is joined by Jason Zeiler Principal Product Manager for Next Generation Infrastructure and HPC/AI Liquid Cooling at HPE to find out:• The efficiency benefits of liquid cooling compared to air cooling and why that isn't always enough to convince enterprises to switch• Whether future data centres will be built from first principles around liquid cooling infrastructure• How higher operating temperatures are feeding back into microchip manufacturers' designs for the next generation of chips

Dive into this episode where we unpack recent developments on Thread features and partnerships, to industry shifts in pricing and product launches. Stay informed about what's next in IoT and how it impacts your connected home setup. Joining this week is Ann Olivo, VP of marketing for the Thread Group.Key topics:The new Thread app and its features, including network visualization tools for developersApple's iOS 27 beta and updates to HomePod, Apple TV, and their impact on smart home automationSignify's new Skylight product and its control limitationsGoogle's new Gemini speaker and its AI integrationIndustry price hikes for Apple products, including HomePods and Apple TVCollaboration between Signify (Philips Hue) and Silicon Labs for dual Zigbee and Thread supportThe significance of outdoor Thread devices and upcoming products for garden and yard automationThe introduction of ThreadDirect for point-to-point device managementFuture initiatives for broader Thread adoption in broadband and IoT ecosystemsSend me your smart home questions and recommendations with the hashtag #SmartHomeInsider. Tweet and follow your host at:@andrew_osu on Twitter@andrewohara941 on ThreadsEmail me hereSmart Home Insider YouTube ChannelSubscribe to the Smart Home Insider YouTube Channel and watch our episodes every week! Click here to subscribe.Links from the showThread Tools app beta signupThread Group Tools app announcementPhilips SkylightGoogle Home Speaker with GeminiThose interested in sponsoring the show can reach out to us at: andrew@appleinsider.com

Tyler Hoffman returns to the show to discuss diagnostics and observability data in embedded systems. We catch up on his life after startup acquisition, explore the hows and whys of keeping product data separate from operational data, and consider the realities of fleet management at scale.  Tyler is the co-founder of Memfault. Memfault was acquired by Nordic Semiconductor about a year ago. While Nordic has nRF Cloud as a smaller scale solution for Nordic devices (~100 devices), Memfault will continue to maintain support for non-Nordic platforms as well. During the discussion, Tyler advocates for a "device-in-control" philosophy, emphasizing that edge devices should retain the intelligence to manage their own firmware updates and telemetry. We also discuss the practical constraints of remote fleet debugging, outlining why tools built for high-bandwidth web infrastructure will quickly bankrupt an IoT company, and identifying exactly when a project is too low-bandwidth, or too small, to justify an external observability platform. Christopher shares his recent experiences with Memfault which leads to a discussion of chunks, flash memory buffers and MDS. The Memfault Diagnostic Service (MDS) is a standardized way for BLE devices to send the chunk payloads to a gateway device (mobile phone) which can then forward the data to the Memfault cloud. If you want a deep dive into the reasoning around starting Memfault, Tyler was on Embedded.fm episodes 390: Irresponsible At the Time and 395: I Can No Longer Play Ping Pong. Reaching back into the archives, Elecia, Tyler, and Phillip Johnston were on the Memfault Coredump Sessions podcast, a special crosspost with Embedded.fm, episode 451: From Concept to Launch  You can also find technical deep dives on Memfault's Interrupt blog. "What we do makes a difference and you have to decide what kind of difference you want to make."  – Dr. Jane Goodall, Reason for Hope: A Spiritual Journey. Transcript

In this episode of Smart Home Insider, Andrew O'Hara covers the first public-facing Unify conference from the CSA, key updates around Matter 1.6, and several major smart home and consumer tech headlines. CSA's Jon Harros joins to talk Matter 1.6, security enhancements, and new device categories. Discover how industry leaders are shaping the future of IoT, smart homes, and interoperability.Main Topics:Matter 1.6 release insights and new featuresSecurity enhancements in Matter 1.1 including product security and scalabilityEmerging device categories like water heaters and their industry demandInnovations in user experience, NFC, joint fabric, energy managementIndustry collaboration and member-driven development processIn this episode:Jon Harros, Head of Certification & Testing at the Connectivity Standards Alliance, shares insights from Unify 2023Details on Matter 1.6 updates, NFC improvements, joint fabric, security protocolsIndustry trends and future device category expectationsHow member companies drive the standards and product developmentExciting announcements, including new partnerships and security measuresSend me your smart home questions and recommendations with the hashtag #SmartHomeInsider. Tweet and follow your host at:@andrew_osu on Twitter@andrewohara941 on ThreadsEmail me hereSmart Home Insider YouTube ChannelSubscribe to the Smart Home Insider YouTube Channel and watch our episodes every week! Click here to subscribe.Links from the showJon Harros | CSA Head of Testing & CertificationMatter 1.6 AnnouncementProduct Security 1.1 AnnouncementMatter 1.6 AppleInsider CoverageSilicon Labs Matter-over-Thread Test NetworkFirst HDMI 2.2 Devices ArrivingSchlage Sense ProThose interested in sponsoring the show can reach out to us at: andrew@appleinsider.com