Podcasts about IOT

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 the IoT For All Podcast, Martin Nord, Chief Technology and Product Officer at Com4, joins Ryan Chacon to discuss IoT in 2026 and what enterprises need to consider. The conversation covers what enterprise IoT buyers actually need, the crowded IoT connectivity market, the 2G/3G sunset, how roaming in IoT is broken in subtle ways, the nature of IoT connectivity failures, prioritizing financial stability in IoT partners, satellite IoT, and the future of IoT connectivity.With over 20 years of experience in the cellular and IoT industry, Martin Nord is a visionary leader and passionate technologist. He has a proven track record of driving innovation and leading high-performance teams. As CTO and PTO, Martin plays a pivotal role in shaping Com4's product vision and strategy. He oversees the entire product lifecycle, ensuring that Com4's solutions not only meet market demands but also drive value for customers in an ever-evolving IoT landscape. By combining his deep technical expertise with a customer-focused approach, Martin ensures that Com4's offerings remain at the forefront of innovation in IoT connectivity.Com4, part of Wireless Logic Group, is a world leading provider of managed IoT connectivity services, with over 13 years of experience working with enterprises around the world. Com4 exists to provide not only the right tools but the most fitting solutions to its customers for beneficial IoT connectivity and control. Customers around the world trust them to cost-efficiently build and operate both large-scale and smaller IoT connectivity projects. All SIM cards are delivered, already activated within a few business days. Com4 supports all radio standards (2G, 3G, 4G, and 5G as well as LPWA technologies such as LTE-M and NB-IoT).Discover more about IoT at https://www.iotforall.comFind IoT solutions: https://marketplace.iotforall.comMore about Com4: https://www.com4.no/en/Connect with Martin: https://www.linkedin.com/in/martinnord/Subscribe on YouTube: https://bit.ly/2NlcEwmJoin Our Newsletter: https://newsletter.iotforall.comFollow Us on Social: https://linktr.ee/iot4all

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

What if IoT connectivity didn't require expensive long-term contracts or constant monitoring? In this episode, Sigfox South Africa CEO Gregory Rood explains how a new “single-use communication” model is transforming the way businesses think about connected devices. The discussion explores how ultra-low-cost IoT tags can send alerts only when critical events happen — such as a package being opened, medicine going out of temperature range, or a shipment being tampered with. Instead of continuous tracking and monthly subscriptions, businesses can deploy short-term, prepaid connectivity built around real-world operational needs. From healthcare and cold-chain logistics to freight monitoring, panic buttons, and asset protection, the episode highlights how Sigfox's AI-enhanced network and South African-built innovation are lowering the barrier to IoT adoption and enabling smarter, more affordable connected solutions.

VOV1 - Thực hiện Kế hoạch số 73 của UBND thành phố về phát triển nông nghiệp ứng dụng công nghệ cao đến năm 2030, Hà Nội đang cụ thể hóa Nghị quyết số 57 bằng nhiều giải pháp đồng bộ, lấy khoa học công nghệ, đổi mới sáng tạo và chuyển đổi số làm động lực phát triển.Thành phố tập trung chuyển đổi mô hình sản xuất truyền thống sang nông nghiệp xanh, nông nghiệp thông minh và kinh tế tuần hoàn.Đến nay, Hà Nội đã xây dựng 406 mô hình nông nghiệp ứng dụng công nghệ cao trong các lĩnh vực trồng trọt, chăn nuôi, thủy sản và chế biến. Phó Chi cục trưởng Chi cục Trồng trọt và Bảo vệ thực vật Hà Nội (Sở Nông nghiệp và Môi trường Hà Nội) Nguyễn Văn Thuần cho biết, nhiều công nghệ tiên tiến đang được áp dụng rộng rãi như công nghệ kết nối vạn vật (IoT), công nghệ canh tác không sử dụng đất, công nghệ blockchain trong truy xuất nguồn gốc hay công nghệ biofloc trong nuôi trồng thủy sản...Để tiếp tục phát huy hiệu quả của Nghị quyết số 57- trong lĩnh vực nông nghiệp, Phó Giám đốc Sở Nông nghiệp và Môi trường Hà Nội Tạ Văn Tường cho biết, Thành phố sẽ đẩy mạnh nghiên cứu, ứng dụng khoa học công nghệ, chuyển đổi số và các tiến bộ kỹ thuật vào sản xuất; hoàn thiện cơ chế, chính sách thúc đẩy nông nghiệp công nghệ cao và nông nghiệp thông minh; đồng thời thu hút doanh nghiệp đầu tư gắn với xây dựng chuỗi liên kết tiêu thụ sản phẩm./.Mô hình trồng rau công nghệ cao tại xã Nội Bài, Hà Nội.

Nella nuova geografia dell’innovazione industriale, i droni non sono più gadget da intrattenimento né soltanto strumenti da difesa: stanno diventando sensori mobili, nodi intelligenti di una rete più ampia, capaci di trasformare il territorio in una piattaforma dati. È questo il punto al centro della puntata di RadioNext con Elmiro Tavolaro, CEO e fondatore di VT Solutions & Consulting, e Natale Leoni, CTO della medesima azienda: due voci che portano il tema fuori dalla retorica futuristica e dentro la concretezza dei problemi reali, dal monitoraggio delle coste alla prevenzione degli incendi, dalla sicurezza dei cantieri alla governance del dato. L’azienda, nata a Rende e attiva nello sviluppo di soluzioni digitali per imprese e pubbliche amministrazioni, presenta tra le proprie aree anche un portfolio dedicato ai droni e alle applicazioni data-driven per il business. Elmiro racconta una traiettoria interessante: partire dalla Calabria, territorio esposto a rischio idrogeologico, incendi e inquinamento marino, per costruire soluzioni replicabili altrove. La prima applicazione forte riguarda il controllo delle coste, con droni equipaggiati con sonde SAR e algoritmi di object detection in grado di individuare possibili collegamenti abusivi verso il mare, arrivando fino a circa cinque metri di profondità. Ma il vero salto non è l’hardware: è l’orchestrazione. Natale spiega che il valore nasce dall’integrazione di dati eterogenei, immagini satellitari, sensori, condizioni meteo, rilievi da drone, dentro un’infrastruttura software capace di pianificare missioni, gestire flotte, piloti e flussi informativi. Siamo davvero pronti a considerare il drone non come “occhio volante”, ma come componente edge di una piattaforma IoT? Il vantaggio competitivo non sarà raccogliere più dati, ma raccogliere quelli giusti, interpretarli velocemente e trasformarli in decisioni operative. Nel caso degli incendi, ad esempio, l’obiettivo non è solo rilevare un’anomalia, ma anticipare l’evoluzione del rischio incrociando vento, umidità, dati storici e sensori sul territorio, così da orientare in modo più intelligente la logistica dei mezzi di intervento. Qui l’intelligenza artificiale smette di essere una promessa generica e diventa una leva di efficienza: meno latenza, più automazione, più capacità predittiva. C’è però un secondo tema, forse ancora più rilevante per il business digitale: la sovranità del dato. Natale sottolinea la crescente attenzione verso private cloud, modelli LLM portati “in casa” e architetture in cui i dati sensibili non escano dall’ambiente controllato dell’azienda. Non sempre serve il modello più potente: spesso, per un caso d’uso specifico, un modello più leggero, personalizzato e governabile vale più di una “Ferrari” tecnologica. È una lezione importante per molte imprese italiane: l’AI non si compra a catalogo, si integra con processi, vincoli normativi, cultura del dato e obiettivi misurabili. E poi c’è la privacy, inevitabile quando si parla di immagini, volti, cantieri, territori e persone. Elmiro richiama la necessità di mascherare i dati sensibili e di applicare meccanismi di data governance, anche alla luce delle nuove regole europee sull’intelligenza artificiale. In questa puntata emerge un punto ancora più strategico: il futuro dei droni industriali non sarà nella spettacolarità del volo, ma nella qualità delle decisioni che abiliteranno. Perché il problema non è accumulare dati all’infinito. È evitare che diventino l’ennesimo archivio inutilizzato. La vera domanda per imprese e pubbliche amministrazioni è allora semplice: vogliamo droni che fotografano il mondo o sistemi intelligenti che ci aiutano a capirlo prima degli altri?

Send us Fan MailWe take live questions on copper and fiber, career growth, and what's changing in ICT as AI, smart buildings, and data centers accelerate demand. We share hard-earned lessons on communication, planning, and why the “right” technical answer still fails if the business and people side is ignored. • AFEXT explained and why far-end interference matters in the field • technician versus project manager responsibilities and accountability • solving problems versus doing the technical work as a PM • business skills that protect margin, schedule, and customer trust • school infrastructure choices under AI, cybersecurity, and bandwidth growth • BIM value beyond 3D models, preventing conflicts and change orders • converged AV, security, wireless, IoT ownership and cybersecurity risks • AI-driven data center growth, fiber demand, speed, and skilled labor shortages • pre-fab copper and fiber gains plus the design and logistics pitfalls Remember, submit your questions for next week's show. And until then, everybody, remember knowledge is power. Support the showKnowledge is power!  Make sure to stop by the webpage to buy me a cup of coffee or support the show at https://linktr.ee/letstalkcabling .  Also if you would like to be a guest on the show or have a topic for discussion send me an email at chuck@letstalkcabling.com Chuck Bowser RCDD TECH#CBRCDD #RCDD

What is happening at HPE Discover?This week Technology Now is bobbing along at HPE Discover Las Vegas 2026 at the Venetian Resort Las Vegas, HPE's annual customer and partner event. We ask what's changed since last year in the tech industry, how is HPE responding to the ever increasing rate of evolution in the sector, and what should our businesses and organizations be on the look out for in the next 12 months. Antonio Neri, President and CEO of HPE joins the show to tell us more.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 audio and video formats.About Antonio Neri: https://www.hpe.com/uk/en/leadership-bios/antonio-neri.html

By Doug Green “Infrastructure is increasingly becoming a control point for AI enablement and productivity.” In this episode of the Technology Reseller News podcast, Doug Green speaks with Shashi Kiran, Chief Marketing Officer at Nile, about why infrastructure is moving back to the center of enterprise strategy, budgeting and AI readiness. Kiran says Nile is modernizing enterprise networks with what it describes as the world's most secure network delivered as a service. The company provides wired and wireless local area networking for mid-size and large enterprises, with security built in and operations managed across the lifecycle. The conversation focuses on a growing reality for enterprises: AI may appear to live in applications, cloud platforms and user devices, but its success depends on the infrastructure underneath. As organizations rethink AI adoption, infrastructure decisions are becoming long-term strategic decisions again. Unlike software, Kiran notes, infrastructure cannot simply be changed overnight. Network decisions often shape cost, security, agility and business performance for years. A poor infrastructure choice can become a drag on the rest of the organization's technology investment. Kiran says this is driving renewed interest in network as a service. In the modern model, he says, network as a service is not simply a managed provider operating someone else's technology. Instead, Nile builds, owns and operates the technology, giving customers a single accountable partner across the full value chain. For Nile, the focus is the enterprise edge: campuses, branches, users, devices, IoT and, increasingly, AI agents. Kiran says that part of the network has often been overlooked while much of the industry focused on data centers and cloud. Yet it is also where complexity, operational cost and security exposure are often highest. Nile's approach is built around simplifying that environment. Kiran describes a clean-slate architecture with wired and wireless connectivity, zero trust principles, identity-based authentication, security built in, and autonomous operations. Nile also backs its service with performance SLAs and financial penalties. Kiran says the results can include lower complexity, faster change management, reduced breach exposure and significant savings. He says customers typically see cost reductions of 30% to 50% at a minimum, along with faster deployment and change cycles. As enterprises plan for the next several years, Kiran says infrastructure will become even more important as organizations work to become more AI-native. The companies that move away from legacy models and adopt more agile infrastructure approaches will be better positioned to support AI, improve productivity, reduce cost and strengthen security. Learn more at nilesecure.com  

Podcast: Bites and Bytes Podcast (LS 27 · TOP 10% what is this?)Episode: THE FISH FLUENCER: James Sibley on How Tech Is Changing the Way We Farm the SeaPub date: 2026-06-15Get Podcast Transcript →powered by Listen411 - fast audio-to-text and summarizationWelcome to the Seafood Summer Series 2026 on the Bitesand Bytes Podcast, and we are kicking it off with a great one!Over 120 million tons of seafood are farmed every year. Mostpeople have no idea. And the technology making it happen: AI-powered feeding systems, underwater robots, satellite-connected ocean farms, is advancing faster than the policy and security frameworks trying to keep up with it.  That disconnect is exactly why this conversation matters.James Sibley, known in the aquaculture world as the Fish Fluencer, is an aquaculture educator and content creator who has spent five years visiting fish farms across four continents to explain one of the most consequential and overlooked food systems on the planet. From salmon farms in Scotland and New Zealand to shellfish operations in Southeast Asia, James has seen firsthand how technology is transforming the way we farm the sea, and what happens when that technology outpaces the people managing it.This episode covers aquaculture technology, smart fishfarming, ocean farming innovation, seafood supply chain transparency, and food security. If you eat seafood, work in food and agriculture, or care about where your food comes from, this one is for you.---------------Guest: James Sibley"Fish Fluencer" | Aquaculture Creator & Founder

Send us Fan MailIn this episode of Embedded Insiders, Dr. Kavyashree Keremane, a postdoctoral researcher in materials science and engineering, and Dr. Bed Poudel, a research professor at Penn State University, join the podcast to share their work exploring something that sounds almost futuristic, but is quickly becoming very real: using synthetic DNA as a medium for data storage.Watch the video interview here: https://youtu.be/_GupJZZypn4Read the story here: https://embeddedcomputing.com/technology/storage/how-synthetic-dna-for-data-storage-could-help-the-memory-crisisNext, Rich and John Grady, the CEO of Ayla Networks, discuss the challenges of supporting IoT across various regions. For more information, visit embeddedcomputing.com

Welcome, Massimo Banzi of SuperModerno and co-founder of Arduino Introduction and SuperModerno: Massimo introduces himself as a “friendly nerd” and discusses his new project, SuperModerno The project aims to explain the “behind the scenes” of technology to prevent people from becoming “slaves to the platform” The History of Technology: Massimo expresses his passion for technology’s history, emphasizing non-American innovators to show Europeans they can also lead in technology, citing the UK-based origins of the Arm processor The Legacy of Olivetti: He highlights Olivetti (founded in 1908), which moved from typewriters to creating the Programma 101, the first desktop computer used by NASA to compute orbits for the Apollo program Design as a Differentiator: Olivetti was the first tech company to apply design to everything (products, posters, and architecture) This inspired Massimo's concept of the “invisible touch”, the idea that consistent, intentional design creates a unique connection with users and gives a company a competitive edge The Interaction Design Institute Ivrea (IDII): Massimo’s path led him to IDII, located in the former Olivetti research building, where he transitioned from a two-week sabbatical to a four-year stay Learning by Making: To help students with no electronics background, Massimo drew on how he learned as a seven-year-old (“learning by making”) to remove the friction of interacting with technology The Founding Team: He met Tom Igoe (ITP) and David Cuartielles, and they realized students were afraid to be creative because they feared “blowing up” expensive tools like the Basic Stamp The “Pizza and a Beer” Price Point: Massimo aimed for a hardware cost of 20 Euros, roughly what a student would spend on a pizza and a beer, to encourage experimentation Building the Platform: Along with David Mellis, the team adapted Processing (a language for artists) by “surgically” replacing Java with C++ to create the Arduino IDE Ivrea Manufacturing: Leveraging the industrial base of Ivrea and Torino (the “Detroit of Italy”), Massimo was able to find local PCB manufacturers and assemblers just a short drive away From Hacking to AVR: Massimo's early work involved hacking satellite TV PIC chips for soccer fans, but mentor Bill Verplank encouraged him to use AVR microcontrollers because they could be programmed simply in C Enabling Creators: Massimo shares stories of how Arduino enabled others, such as Josef Prusa, who started with Arduino as a teenager before building his global open-source 3D printer company The Innovation of Simplicity: Massimo argues that Arduino’s true innovation is the user experience This is measured by the “Time to First Blink”, the goal for a user to go from downloading software to blinking an LED in five minutes Standardization and “The Core”: Arduino became an ad-hoc standard by providing a compatibility layer across different microcontrollers Massimo believes in having a “small slice of a really large pie” by allowing other architectures to work within the ecosystem Hardware Architecture and the “Lasagna”: Inspired by the PC104 format, the board uses a layered approach where modules stack like a lasagna The “Shield of a King”: The name Arduino comes from King Arduino of Ivrea; David Cuartielles suggested that since the board was named after a king, the add-on modules should be called “Shields” Hardware Design Choices: The board fits a credit card size (to stay within the free version of Eagle software) and is blue because that color was thought to be less tiring for workers’ eyes Happy Accidents: The unique shape was chosen to be “ourselves instead of everyone else” During the design process, Massimo inadvertently moved a connector by half a step, creating an offset header that they kept for consistency after the first few thousand were made The Discovery of Auto-Reset: During a workshop in Germany, Massimo solved the frustration of manual resets by soldering a capacitor to the DTR pin, allowing the software to trigger the reset automatically The US Market and Legal Battles: Tom Igoe's adoption of Arduino at NYU helped the US become the project’s single biggest market This growth led to a difficult legal battle for control of the brand against a former partner Support from Arm: Massimo credits Arm Ltd (and CEO Simon Segars) for providing the strategic support that allowed the founders to regain control of the company. Massimo believes this is the first time he has talked about the role of Arm in the difficult legal process. Industrial and AI Expansion: Partnerships with Intel and Microsoft (Windows 10 IoT) led to early forays into TinyML (AI on small boards) back in 2017 The Qualcomm Acquisition: In October 2025, Qualcomm acquired Arduino, which Massimo sees as essential for bringing “advanced silicon” into the family to handle the increasing complexity of technology The “Arduino Formula” and Layering: Massimo views Arduino as a formula for simplification that can be applied to anything, including complex Linux machines like the Uno Q This is achieved by building in layers, where beginners use high-level abstractions and experts can “strip away” layers to reach the bare metal The Future Vision: Massimo looks forward to the “Arduino Formula” being applied to new fields, stating he is waiting for someone to develop an “Arduino for biology” using CRISPR and DNA technology

Venkat Sivaramakrishnan: From Battery Research to LeadershipVenkat Sivaramakrishnan is an accomplished R&D leader who brings together deep technical expertise and strong people skills, currently working at the intersection of research, innovation, and business development in the battery technology space. He has also led global virtual teams and built international academic collaborations across India, China, and the UK. In this episode, we explore how communication shapes innovation between technical and nontechnical teams, the role of storytelling and trust in leadership, and why strong communication skills are becoming just as critical as technical expertise in powering the future of renewable energy, electric mobility, and IoT devices.To learn more about Venkat, visit https://www.linkedin.com/in/venkatraman-sivaramakrishnan-aa91057/__TEACH THE GEEK (http://teachthegeek.com) Prefer video? Visit http://youtube.teachthegeek.comGet Public Speaking Tips for STEM Professionals at http://teachthegeek.com/tips

In this episode, we dive into the rapidly evolving world of connected transportation technology. As fleets push for greater visibility, efficiency, and uptime, connected chassis and smart trailers are transforming how the industry operates, from realtime asset tracking and predictive maintenance to seamless data integration across the supply chain. If you're not following Paul Burgoyne of Reach24 and Shannon Hamilton of BlackBerry Radar, you should be!Discover how advanced telematics and IoT solutions are powering next-generation connected trailers and chassis. Explore practical use cases around maximizing trailer utilization, minimizing downtime, improving safety through door/cargo monitoring, and streamlining maintenance workflows.Whether you're a fleet operator, equipment provider, or technology innovator in trucking and intermodal, this episode delivers actionable insights on harnessing connectivity to drive productivity and reduce costs in an increasingly digital freight landscape. And go to the Intermodal Association of North America's EXPO!This program is brought to you by DAT Freight & Analytics. Since 1978, DAT has helped truckers & brokers discover more available loads. Whether you're heading home or looking for your next adventure, DAT is building the most trusted marketplace in freight. New users of DAT can save 10% off for the first 12 months by following the link below. Built on the latest technology, DAT One gives you control over every aspect of moving freight, so that you can run your business with speed & efficiency.This program is also brought to you by our newest sponsor, GenLogs. GenLogs is setting a new standard of care for freight intelligence. Book your demo for GenLogs today at www.genlogs.io today!

Podcast: Industrial Cybersecurity InsiderEpisode: Is AI Becoming Your Plant Floor's Biggest Vulnerability?Pub date: 2026-06-15Get Podcast Transcript →powered by Listen411 - fast audio-to-text and summarizationCraig and Dino dig into the widening gap between IT and OT and why the plant floor keeps getting left behind. They break down what Dragos ' acquisition of Phosphorus signals for the future of IoT security in manufacturing, from cameras and label printers to X-ray inspection systems that ship with default passwords and almost never get patched. The conversation gets sharp on artificial intelligence: the same models helping plants work smarter are now lowering the barrier for attackers, putting Stuxnet-style capabilities into the hands of people who lack the resources and sophistication that nation states once needed. Craig and Dino expose the everyday habits that leave operations vulnerable, including system integrators plugging personal laptops straight into production networks, locked USB ports that solve only half the problem, and remote access so wide open that a single entry point can expose an entire plant. They argue that nobody truly owns OT cyber hygiene, that frameworks like IEC 62443 and the NIST 800 82 series get named in RFPs but rarely enforced, and that leaders keep tripping over dollars to pick up nickels by choosing the cheapest bid over real protection. It's a candid, experience-driven look at why industrial security moves so slowly and what plant leaders, engineers, and security teams can actually do about it.Chapters:(00:00:00) - AI Enters the OT Battlefield(00:01:30) - Why IoT Is Creeping Onto the Plant Floor(00:03:30) - Printers, Cameras, and the Default Passwords Nobody Owns(00:06:00) - Dragos, Phosphorus, and the Managed Services Question(00:08:00) - How AI Lowers the Bar for Attacking Control Systems(00:09:40) - Stuxnet Then vs. AI-Powered Attacks Now(00:12:00) - The Laptop in the Plant: Contractors, USBs, and Open Networks(00:16:00) - Frameworks on Paper vs. Reality (IEC 62443 & NIST 800-82)(00:19:00) - Tripping Over Dollars to Pick Up Nickels(00:24:00) - Short-Tenure CISOs and Why You Shouldn't Go It AloneLinks And Resources:Want to Sponsor an episode or be a Guest? Reach out here.Industrial Cybersecurity Insider on LinkedInCybersecurity & Digital Safety on LinkedInBW Design Group CybersecurityDino Busalachi on LinkedInCraig Duckworth on LinkedInThanks so much for joining us this week. Want to subscribe to Industrial Cybersecurity Insider? Have some feedback you'd like to share? Connect with us on Spotify, Apple Podcasts, and YouTube to leave us a review!The podcast and artwork embedded on this page are from Industrial Cybersecurity Insider, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.

It would seem like a no-brainer to support IoT in various regions. But that's not necessarily the case. And when you look at how many new applications are popping up, the waters get even muddier. And don't even get me started on what happens when you try to go wireless. Someone who is much closer to the issues/hurdles than I is John Grady, the CEO of Ayla Networks, who joined me on this week's Embedded Executives podcast.

A hacker who got kicked out of college for finding their vulnerabilities, became a national hacking champion, and is now building what he calls a sovereign-level cyber weapon. Alexis Lingad, founder of Kinosec, built an autonomous AI system that chains exploits across web, IoT, and physical infrastructure the same way a real attacker would, and he's already using it to sell AI pen testing to enterprise security teams. Tune in to hear how he's building the weapon before the bad guys do.  Alexis: www.linkedin.com/in/alexis-lingad Kinosec: www.kinosec.ai Jon: www.linkedin.com/in/jon-mclachlan Sasha: www.linkedin.com/in/aliaksandr-sinkevich YSecurity: www.ysecurity.io

What does it take for AI to actually deliver on the factory floor? In this episode, we explore why most manufacturing AI pilots never make it to production, and what changes when you get the data architecture right.Francisco Almada Lobo, CEO and Co-Founder at Critical Manufacturing, joins Phil Seboa and Ed Fuentes to discuss MES as the foundation for manufacturing AI, why context beats compute, and what regulated industries need before they can trust AI in production.Key topics in this episode:What MES is and why it keeps expanding beyond process controlWhy Audi's 100+ AI initiatives failed to scale to production"Fat events": enriching IoT data with MES context for AI workloadsDesign-time AI vs runtime AI in regulated manufacturingThe first FDA warning letter for unauthorized AI useWhy this technology revolution gives no time for adjustmentThis episode is proudly made possible by FlowFuse. FlowFuse is the industrial application platform that helps operations, maintenance, and IT teams connect any machine, move data between systems, and scale industrial applications across sites. It is built on Node-RED, with the security and governance you need for real production environments. Learn more at flowfuse.com.Connect with Francisco on LinkedIn: linkedin.com/in/falmadaloboConnect with Phil on LinkedIn: linkedin.com/in/philseboaConnect with Ed on LinkedIn: linkedin.com/in/edfuentesLearn more about Critical Manufacturing: criticalmanufacturing.comBook mentioned: "Agentic Artificial Intelligence" by Pascal Bonnet

In this episode of The Circuit, Ben and Jay dive deep into Apple's WWDC announcements, unpacking the "applied AI" strategy behind the newly indexed Siri, system-level CPU scheduling updates, and Apple's surprising embrace of Nvidia for private cloud compute. Ben also shares his takeaways from the Nebius conference in San Francisco, analyzing their unique custom server racks and their positioning as a highly capable neo-cloud infrastructure provider. Finally, Jay reports back from his recent trip to China, sharing ground-level observations on why US entity list restrictions are losing their impact, how IoT chipmaker Espressif creatively markets globally via Reddit and YouTube despite domestic blocks, and the real-world manufacturing bottlenecks facing humanoid robot actuators.

In this episode: - Massive IPOs, AI, market implications - SpaceX IPO - AI in IoT: Connectivity to Intelligence - AI coding - “No Man's Land” and AI in management - Startups and AI-driven business models - Where to locate your data center - Crypto mining's expansion into AI and HPC - Bitcoin treasury companies - Scientific Bitcoin Institute [audio mp3="https://orionx.net/wp-content/uploads/2026/06/OXD037_ART-13_20260519.mp3"][/audio] The post Analyst RoundTable: IPOs, AI, BTC- OXD37 appeared first on OrionX.net.

In this episode of Alexa's Input (AI), I sit down with David Aronchick, co-founder and CEO of Expanso and former product lead for Kubernetes at Google.Data is growing everywhere outside your data center. Solar panels in remote across a country. Security cameras at retail stores. IoT sensors across factory floors. And moving that data to the cloud for processing? It's expensive, slow, and often restricted by compliance.David is an expert when it comes to solving distribution problems. He led Kubernetes product at Google, co-founded Kubeflow to bring ML to production, and now he's building Expanso to tackle a difficult constraint: when your data can't move, how do you process it where it lives?We discuss:- The need for distributed data orchestration-Upstream data control: filtering and transforming at the source- Three forces making edge computing inevitable (physics, regulations, economics)- How to build successful open source infrastructure projects- Customer discovery and finding real pain points- His transition from Protocol Labs to founding Expanso- ETL pipelines: moving the first four steps closer to the data- Context loss and lineage in distributed systems- Processing 400,000 signals per second with 150MB agents- AI observability: attaching source metadata to training data- Running ML pipelines at the edge- Real-world deployment challenges (bandwidth, regulations, cost)Expanso is rethinking how we process data in an AI-native world—moving compute to data instead of data to compute. If you want to understand where distributed systems and edge computing are heading, this is a deep dive into the infrastructure layer beneath modern AI applications.General Podcast LinksWatch: https://www.youtube.com/@alexa_griffith Read: https://alexasinput.substack.com/ Listen: https://creators.spotify.com/pod/profile/alexagriffith/ More: https://linktr.ee/alexagriffithLearn more about the host atWebsite: https://alexagriffith.com/ LinkedIn: https://www.linkedin.com/in/alexa-griffith/Find out more about the guest atLinkedIn: https://www.linkedin.com/in/aronchick/ Twitter/X: https://x.com/aronchick GitHub: https://github.com/aronchick Expanso Website: https://expanso.io/ResourcesExpanso Website: https://expanso.io/ Kubernetes: https://kubernetes.io/ Kubeflow: https://www.kubeflow.org/ CNCF (Cloud Native Computing Foundation): https://www.cncf.io/ Protocol Labs: https://protocol.ai/KeywordsDavid Aronchick, Expanso, Kubernetes, Kubeflow, distributed systems, edge computing, data pipelines, ETL, upstream data control, Google Kubernetes Engine, open source, CNCF, observability, log processing, data lineage, provenance, schema enforcement, IoT, edge AI, distributed data, machine learning infrastructure, Protocol Labs, IPFS, Filecoin, data governance, compliance, GDPR, bandwidth optimization, data aggregation, AI infrastructure, multi-cloud, hybrid cloud, real-time processing

In this Fluid Power Forum episode, NFPA host Eric Lanke shares a recorded NFPA webinar on advancing technologies for controls, IoT, and data—featuring Scanreco Director of Sales Andy Gray.   Gray explains how Scanreco's professional radio remote controls serve OEMs and system integrators for mobile and industrial machinery in harsh environments, translating operator intent into hydraulic actuator motion from simple on/off to highly proportional control to improve safety, precision, and productivity. Discussion covers operating at safer distances, integrating camera feedback and Human Machine Interface, HMI, information onto remotes, and the growing role of assisted operation and autonomy across applications like agriculture, forklifts, drilling, demolition, forestry, and fire equipment.   Gray describes field research with operators, integration via CAN and software tools, OEM preference for open integration ecosystems, and progress to unify remote control, advanced displays, and onboard computing amid trends of digitalization, electrification, automation, and usability. Subscribe to the Fluid Power Forum today to never miss an episode. The podcast is available on all of your favorite podcast platforms, including YouTube, Apple Podcasts, Spotify, and iHeart Radio.   Connect with our host, Eric Lanke, at elanke@nfpa.com.   Connect with our guest, Andy Gray, at andy.gray@scanreco.com.   Learn more about the company at www.scanreco.com.   Find and share more interesting fluid power technologies and unique applications using #onlyfluidpowercan and follow podcast and other fluid power industry-related updates at @TheNFPA.   #FluidPowerForum #Controls #Safety #Autonomy #CID

Hello friends! I've been on a bit of an AI agent journey lately, and today I'm sharing my experience ditching OpenClaw and going all-in on Hermes — a self-hosted AI agent built by Nous Research. A Network Chuck video sold me on it, I wiped my Mac Mini (again), and baby's first Hermes adventure began! Here's what we get into today: Why I left OpenClaw — After getting the Mac Mini set up, OpenClaw left me feeling pretty meh: burning through API requests, random mid-conversation shutdowns, and a marketplace where the top listings were flagged as "potentially malicious." Hard pass. Network Chuck's five reasons Hermes rocks — His video summarized why Hermes stands out: (1) Nous Research has serious open source model cred predating OpenClaw, (2) more flexible persistent memory via markdown files + optional Honcho integration for building a profile of you over time, (3) a mission around humanistic and democratic AI, (4) a self-improvement loop where it writes its own skills after figuring things out, and (5) it just doesn't break — it feels like a product, not a project. The install — I used Claude to build a Mac Mini install guide from the Network Chuck transcript, and had Hermes up and running in about 15 minutes (one small Ollama hiccup aside). The install wizard lets you choose cloud models like Claude or ChatGPT, or go fully local with something like Gemma — I'm planning a hybrid setup with two Telegram bots. First real-world use: sitting in a truck running errands — With Hermes running on the Mac Mini and connected via Telegram, I asked it what it could do. It suggested Uptime Kuma for LAN monitoring — weirdly well-timed since I'd just been thinking about flaky IoT devices. I said "go install it," and it did — narrating its own troubleshooting out loud the whole time like a little robot intern. Remote access and Home Assistant — Had it install Home Assistant for smarthome control too, with plans to wire up TwinGate for remote access (it had a TailScale skill ready to fire in about two seconds, but I'm trying to keep VPN services consolidated). Daily digest via email — Hooked Hermes into a dedicated Gmail account and set up a 6 a.m. cron job that sends me a personalized morning digest: weather for my watched locations, recent breach/CVE news from select sites, and a summary of my favorite pentesting-focused Mastodon accounts. Needs tuning, but the first digest landed this morning and it's really good! The privacy angle — The real long-term win I see here is a hybrid model: feed raw, unsanitized pentest data to a local private model, let it analyze and sanitize, then hand off the clean version to a cloud model for deeper insight. Best of both worlds without the data exposure anxiety. Check out the Network Chuck video that started it all, and as always, if you're doing cool AI + security stuff, I'd love to hear about it. Find our pentesting services and training at 7MinSec.com, pentesting tips and scripts at 7MinSec.wiki, and if you want to support the show, head over to 7MinSec.club.

Advertising SponsorWant to join our Map It Forward Monthly Community Discussion Group? Head to https://patreon.com/mapitforward to join the community by signing up to the "Roasted Coffee" tier for 20 USD per month. Find other like-minded people in the coffee industry.Episode DescriptionThis is episode 5 of a 5-part series with agro-tech company cofounder and CEO, Ciro Gelvez from WSeeds and Map It Forward Founder, Lee Safar. In this series of The Daily Coffee Pro Podcast by Map It Forward, we're discussing technology and the coffee supply chain, and what becomes possible when farm-level data is captured, managed, and used in ways that actually help coffee farmers make better business decisions.In this final episode of the series, Lee and Ciro discuss how technology can help farmers better forecast and prepare for changing climate conditions.Ciro explains why macro climate data is not enough. Coffee farms often operate across complex terrain, where microclimates can vary significantly even within a small area. WSeeds is developing IoT sensors to help measure farm-level conditions such as humidity and temperature so farmers can better understand risks related to berry borer, leaf rust, soil conditions, inputs, and yield.Lee and Ciro also discuss the role of AI. Forecasting is only useful if farmers know what to do with the information, and AI may help farmers connect their own farm data with possible decisions, lower-cost experiments, and more precise preparation.Connect with Ciro Gelvez and WSeeds here:https://wseeds.co/en/https://www.instagram.com/wseeds_col/https://www.linkedin.com/in/cirowseeds/If you found this episode valuable, make sure you're subscribed to the podcast and follow along for the rest of this 5-part series. In the next episode, we explore how global geopolitics is impacting food supply chains.***************************************About Map It Forward The Daily Coffee Pro is produced by Map It Forward, supporting coffee professionals globally across the supply chain.Website: https://mapitforward.coffeeMailing list: https://mapitforward.coffee/mailinglistPatreon: https://www.patreon.com/mapitforwardInstagram: https://www.instagram.com/mapitforward.coffee/Contact: support@mapitforward.org

Advertising SponsorWant to join our Map It Forward Monthly Community Discussion Group? Head to https://patreon.com/mapitforward to join the community by signing up to the "Roasted Coffee" tier for 20 USD per month. Find other like-minded people in the coffee industry.Episode DescriptionThis is episode 5 of a 5-part series with agro-tech company cofounder and CEO, Ciro Gelvez from WSeeds and Map It Forward Founder, Lee Safar. In this series of The Daily Coffee Pro Podcast by Map It Forward, we're discussing technology and the coffee supply chain, and what becomes possible when farm-level data is captured, managed, and used in ways that actually help coffee farmers make better business decisions.In this final episode of the series, Lee and Ciro discuss how technology can help farmers better forecast and prepare for changing climate conditions.Ciro explains why macro climate data is not enough. Coffee farms often operate across complex terrain, where microclimates can vary significantly even within a small area. WSeeds is developing IoT sensors to help measure farm-level conditions such as humidity and temperature so farmers can better understand risks related to berry borer, leaf rust, soil conditions, inputs, and yield.Lee and Ciro also discuss the role of AI. Forecasting is only useful if farmers know what to do with the information, and AI may help farmers connect their own farm data with possible decisions, lower-cost experiments, and more precise preparation.Connect with Ciro Gelvez and WSeeds here:https://wseeds.co/en/https://www.instagram.com/wseeds_col/https://www.linkedin.com/in/cirowseeds/If you found this episode valuable, make sure you're subscribed to the podcast and follow along for the rest of this 5-part series. In the next episode, we explore how global geopolitics is impacting food supply chains.***************************************About Map It Forward The Daily Coffee Pro is produced by Map It Forward, supporting coffee professionals globally across the supply chain.Website: https://mapitforward.coffeeMailing list: https://mapitforward.coffee/mailinglistPatreon: https://www.patreon.com/mapitforwardInstagram: https://www.instagram.com/mapitforward.coffee/Contact: support@mapitforward.org

Allen Nejah, CEO and System Solution Architect of SunMan Engineering, is driven by a lifelong passion for aerospace, invention, and solving complex engineering problems. From dreaming of becoming an astronaut as a child to working with major aerospace, defense, automotive, medical, robotics, IoT, and semiconductor organizations, Allen has built a career around turning ambitious technical ideas into real-world systems. We explore The Allen Nejah Engineering Framework — Live with Integrity, Be Intensely Curious, Get Organized, Plan Every Baby Step, and Learn from Mistakes — a practical mindset for building breakthrough technologies with discipline and resilience. Allen explains why integrity must exist not only in business relationships but also in the engineering itself, how complex projects must be broken into testable steps, and why curiosity, visualization, planning, and iteration are essential to solving problems across industries. He also shares the story behind InfiniGear, his AI-powered adaptive transmission system, and the healthcare technology inspired by his mother's experience in assisted care. — Building the Connected Car Before the iPhone with Allen Nejah  Good day, dear listeners. Steve Preda here with the Management Blueprint Podcast, and my guest today is Allen Nejah, the CEO and System Solution Architect of SunMan Engineering, dedicated to providing customers with high-quality, on-time engineering and on-budget solutions for their product development and prototyping needs. Allen, welcome to the show.  Yes, that is correct.  Great to have you on the show. And I’d like to ask you my favorite first question: What is your personal ‘Why,’ and how are you manifesting it in your business?  So Steve, first I want to thank you for having me on your podcast. I really appreciate your time and interest. Of course.  As a kid, for whatever reason, I always wanted to have an airplane manufacturing company, an aircraft manufacturing company—something I always wanted to have. And I always wanted to be an astronaut. As a matter of fact, I studied aerospace and mechanical engineering with the dream of being an astronaut, going to fly and all that. So that’s kind of something that’s still in my pocket and that I still want to do. From there, it kind of pushed me in this direction. And yeah, now I work with a number of different companies in the aerospace industry. I work with the Air Force. I’ve worked with Lockheed Martin, Boeing, and a number of others. And I work on both space and aviation projects that really kind of bring my dream to life. So I still haven’t gone to outer space yet, but I still have a little more time.  Yeah. Elon Musk is promising a million people, and his bonus is linked to putting a million people on Mars as the first colony. So there may still be room there.  They need a lot of us to go there, trust me. Well, actually, we’re going to do a lot of activities on the Moon first, and then from there, I’m sure they’re going to be looking for older people, older men, to do some tasks over there. And I’d volunteer to go.  You may be familiar with the Mars trilogy—Red Mars, Green Mars, Blue Mars. It talks about people moving to Mars and how they terraform it. And then they figure out how to extend life to 150, 200 years. So if that works out, then maybe there’s another lifetime to be lived on Mars.  Yeah. I definitely believe that we will end up living on other planets, for sure. I see that very clearly. It could be 50 years or more before we actually become a space-based civilization. But the Moon has already started, right? We’re going to be there in the next 5 to 10 years, trust me. So anyway, I’m very excited about that. Yes.  Yeah, it is very exciting. What I’m looking for on this podcast—what makes it kind of unique—is that I am a junkie for frameworks and mental models. We are almost 400 episodes in, and every episode has a different mental model that our guest comes up with or shares. So think about something that helped you build your business, or maybe helped you develop your products, or how you work with your engineers, or how you work with clients. So think about something that has three to five steps or three to five aspects that create a result.  That’s very clear to me. Those are the key things for any successful person. First of all, honestly, you have to be interested. You have to be in “go” mode. You cannot push somebody to start building something, like a building or actual construction, if their mind is not into it. The very first thing is, it’s got to be you. That’s number one, right? And you know it. Definitely organization is a very key factor for me. Being organized, being detail-oriented—that’s something that is super, super important. Planning and organization make a huge difference in whatever you do, right? And most importantly, integrity. I mean, that’s number one. That’s number one, number two, number three, number four—all of it.  So integrity is all of it. No matter what you do, if there’s no integrity, people will walk away from you. At the beginning, every business makes mistakes, and they learn and so on. So don’t beat yourself up. It’s okay. You make a mistake, you learn from it, and then you don’t do it again, right? Learn from it. So yeah, I would say those are at least three. If anything else comes to mind, I definitely will share it with you. But the most important things are integrity, organization, and clear planning based on knowledge. Not just planning for the hell of it, but planning based on understanding what you’re doing. That’s important. Integrity comes into your personality. It comes into the quality of the work you do.  It comes into the engineering you do. It comes into all of that, right? Even in engineering, it’s not only on the personal level that integrity has to be there. On the engineering level, integrity has to be there too. Whatever you do, you’ve got to make sure it’s working. One of the things we learned the hard way after 35 or 36 years is that it’s very important to have the knowledge base and to do things in a very organized way. And that’s kind of part of my personality. If I’m not confident about the end result, I don’t even commit to it. I’ve got to see it in my mind. Whatever problem comes up, if I don’t see the solution in my mind, I won’t even commit to it. It comes back to quality, integrity, and all of that. And I guess what I was going to say earlier is that everything that we do—as part of, again, the quality and integrity I mentioned—is that we have a lot of baby steps built into the process.  That’s what I wanted to say earlier. So for every step, the whole plan is split into, I don’t know, tens, hundreds, or thousands of different steps and branches. Because technology is not one thing. It’s usually a combination of different sciences. So mechanical engineering, electronics, material science, firmware, AI—those are all different types of expertise. And you’ve got to bring them all together. And for all of those baby steps, you’ve got to have some sort of test at the end of each step before you move on to the next one. Iteration.  Yeah. So, okay, what I’m hearing is integrity is number one. And then curiosity, perhaps. So curiosity is this driving force. Visualization is important. I’m thinking about Einstein, who said that imagination is more important than knowledge because imagination is infinite, while knowledge encircles the world. I think it was something like that. So visualization is important. Get organized. Do thorough planning. And learn from mistakes.  Yes. Absolutely. Okay.  That’s great. So what do you call this? Is this the Allen Nejah Framework, or what’s it called?  One more thing. One more thing. Again, that’s kind of under the umbrella of integrity. So I have two families. It’s one family. I have a family at home, and I have a family at work. And believe it or not—and you already know this—we all spend more time with our family at work than with our family at home. That’s true. It’s true for me. It’s true for a lot of people. You go to work, I don’t know, from 8:00, 9:00, or 10:00 in the morning until 5:00, 6:00, 7:00, 8:00, or 9:00 at night. That’s almost 12 hours. And by the time you go home at 5:00, 6:00, or 7:00, what? You spend two hours with your family, maybe three hours at most, and then it’s back to work. So the team is part of my family, and truly it is part of my family. Those are the first group of people, the first group of associates, that you have to take care of.  You have to be a brother to them, be a friend to them, be a father to them, be a mother to them. Seriously, it’s all about human interaction. It’s all about, “I like you, I don’t like you,” and it goes from there. “I feel good about you. I don’t feel good about you.” And so it’s very important to have those relationships in your business, or whatever it is you do. For me, all our people, all our employees—even from 35 years ago—are still in touch with us. I have kids who came through as junior-high interns, then high-school interns, then university students, even master’s degree students. Now they’re 40 years old. And we’re still in touch. So I’m in touch with hundreds of engineers and people that I’ve worked with over the past 35 years. And that’s a lot of value. That’s the biggest asset.  Yeah. Basically, they call it a school. You create a school, right? Your own professional school. That’s wonderful. So tell me about this special gear called InfiniGear. How is it special? How did you come up with it, and how is it being used? It’s an interesting question. First of all, let me explain to you very quickly what I-Gear is. So I-Gear is an AI robotic adaptive gearbox, or transmission, and that’s a mechanical transmission. It’s not an electronic transmission. It’s an actual mechanical gearbox that goes into any machinery or equipment. I mean, obviously, the one that everybody can relate to immediately is cars. Every car—not EV cars, but every car—has a transmission. A transmission usually is bigger than the engine. It’s heavier than the engine. It’s the guy that goes through all the center of the car, takes all that center, okay?  That’s it—a transmission. It’s big, it’s heavy. By the way, it’s amazing how it works. It’s absolutely amazing how it works if anybody gets into a transmission and sees all of it. There are about 300 to 400 gear sets in there. There are about six or seven clutches. There’s about 3,000 to 4,000 parts in a standard transmission. So that’s why it’s so big and so heavy. The efficiency is so low because all these gears have to be interacting with each other. As a matter of fact, believe it or not, the transmission efficiency is only 50%. So it’s actually as low as you can get. But you have to have a transmission in the car. If you have no transmission in the car—I’m talking about ICE cars with an engine—they’re not even able to drive because the engine has no initial power and no initial RPM.  The AI transmission, the robotic transmission that I have invented, and that we have developed over five to seven years— Since 2017 or ’18 we’ve been working on it. It’s a gearbox that has only two gears versus 200 to 300 gears, and it’s one-fourth or one-fifth of the size. And also, while your standard transmission has five or six or seven or eight gears in your car, this has unlimited gears, okay? And it’s AI, so it can see what’s going on with the road, what the weather is, and all combinations of conditions. If you’re going onto a hillside, it’s already going to shift for you, so it saves energy. So that’s what we have developed. It’s a robotic transmission.  Right now, we’re actually talking to the U.S. Army, and they have some interest. We are at a very initial stage with them. And it’s kind of difficult to bring it into the market because it’s a safety factor, and there are a lot of requirements and tests that have to go into it before we can actually get it into trucks and cars. To summarize the benefit, if you put that transmission into an EV, we can increase the range by 40%, which is huge. A company that can improve a battery by 1% gets millions of dollars thrown at it. Once we can prove that this is working and pass some tests and so on, it’s going to be very huge. Wow. When do you expect this to happen?  I’m hoping within the next two years. Hopefully, by the end of those two years, we make it home and get it into cars and trucks and commercialize it.  Then you will turn into a unicorn—a big unicorn, right?  Yeah. Again, EVs are only one application. There are wind turbines, tanks, boats, some aircraft, and helicopters. A helicopter’s transmission is half the size of the helicopter itself, so the weight and everything else become very significant. So if we can eliminate that weight and size, we can gain a lot. Especially in vehicles, it makes a huge difference and all that.  Wow. That’s probably something that drones would benefit from too. Yeah. It’s mind-boggling. So what drives growth in your business other than your inventions?  So at SunMan Engineering, we have two arms. One arm is that we provide engineering services, product architecture, and product development to other companies—small companies, mid-size companies, and bigger companies like IBM, Sony, Samsung, and Apple. We have about 300 or 400 of those clients. And we also work with government agencies and contractors like Lockheed Martin, Boeing, and Kaiser Electronics, just to name a few. We have also had contracts directly with the Army and the Navy in the past. And that’s what we’re trying to do now—to gain some of those projects again. And InfiniGear, the I-Gear, could be a project that, fingers crossed, we’d be working on with the U.S. Army. So that’s one arm of what we do. The other arm is that we develop new technologies. We develop them, work on them, and then license them, or let our clients utilize them in some of their projects through partnerships and so on.  So you’re a service company as well as a product company?  Yes. We are a systems and product company. We’re considered a systems and product company, yes.  Now, do you call this systems integration? In the IT world, they used to call it systems integration when you had different systems and—  We are more than systems integrators. Systems integrators buy different technologies and put them together. It’s still engineering, don’t get me wrong. Yeah. You still have to engineer everything and put it together. But what we do is actually customize things from the ground up. Sometimes we do integration because it’s faster, easier, and sometimes cheaper. Some of the components and some of the functionality can be integrated. But generally, we customize every project from the ground up. And generally, for your information, we cater to aerospace, robotics, and IoT. IoT is communication—all sorts of wireless and different types of communication: Wi-Fi, 5G, Bluetooth, all sorts of stuff, right? And also medical. So medical, robotics, aerospace, IoT, and also semiconductors, which also serve these different industries.  So how is it possible? I mean, you have a relatively small team, right? Fifteen people or so?  Twenty-seven, twenty-eight people.  Twenty-seven. Okay, sorry.  Yeah. With a small team.That’s exactly the very first question you asked me. That’s exactly how it affects and how it comes into the picture. Being organized—I mean, we’ve done this so many times. It’s like we make things so efficient because we already have a plan. Every project we do, in concept, is the same thing. The process is the same. The application is different, but the process is the same. So going through that process and having a very reliable process in place that we follow very religiously makes us super, super efficient. And also, being small, we don’t have to go through a number of different layers. Everything comes to one or two people, gets approved, and we get it going. Everything happens the same day. Nothing waits until the next day here.  Are you involved in every project?  Fortunately and unfortunately, I’m involved in every project. And one of my goals is to eventually focus on fewer projects so I’d be more effective and efficient. So that’s one of my goals for the next few years. I-Gear is one of them, and we’re also working on another project. It’s for healthcare, it’s for the elderly and infants. Eventually it’s going to be a robot, but right now we’re making the device that is the brain of the robot. So it gets to know the person, it gets to know their habits, it gets to know everything about the person, about their family, about their health, about how they behave. We can remind them of different things. We can assist them with different things. We can watch them. We can emotionally work with them. There are so many different applications that we’re working on now. We can even do preventive diagnostics.  What “preventive diagnostics” means is that before the patient or the person gets sick or develops some sort of disease, we can actually identify it before that happens. That’s great. And that’s the most important part of this device. It has so many different applications and different ways it can help and assist an elderly person. And within the next two or three years, my goal is to integrate this into a robot. So we’re going to have a robot that physically helps you as well. My mother ended up in one of those care centers, and I saw how much she was declining on a daily basis—not weekly, not monthly, but daily.  And there was nothing, unfortunately, that I or any member of our family could do. I mean, we were there every day, don’t get me wrong, but that’s all we could do for her. We’re all busy. We all have lives. I mean, we were there almost every day, but really, she did not get the care that she needed. And that’s what kind of put me in that frame of mind—how can I help someone like my mom? And that’s how it started about two years ago. And as a matter of fact, now it’s one of the biggest markets. Yeah. It’s one of the biggest. So that’s fascinating. So how can you have so mental bandwidth that you can cover different industries, go deep into different industries, and innovate and invent stuff? How does that even happen?  Honestly, I personally work pretty much 12 hours a day. Even on my vacations, I work. Don’t get me wrong, I have a very good life. I work hard and I play hard. I am a very active person. I played as a semi-professional soccer player until I was 58 years old, believe it or not. Actually, next week I’m going to be 65. I still can play. I still can go and compete with 25- and 30-year-old kids, and I still do good, I think. So I keep myself in very good shape. I do mountain biking. I do about 10 to 15 hours of heavy-duty exercise on a weekly basis, and that kind of balances what I’m doing. To answer your question, yes, it’s too much, but yeah, we have to spend more time. There is no magic to it. Sometimes it gets to be too much, but I like what I’m doing, so I enjoy it.  Yeah, it shows. Elon Musk is also an example of being able to run six big companies in different areas and be a groundbreaker. But you’re doing something very similar. You are breaking ground in different industries.  Yeah. Actually, as I mentioned, I have established different startups and sold them. I have worked on a number of different companies and technologies. As a matter of fact, back in 2005, I brought a whole bunch of different technologies to cars. Any type of car you drive—I don’t care what it is—almost everything in the dash belongs to technologies that we developed from 2005 to 2008. There are some videos and some information on my LinkedIn. I invite people, including yourself, to look into it. The stuff we did back then was in 2005. The iPhone only came out in 2007. We came out with these technologies between 2005 and 2008. Back then, we had Genie. Today they have Alexa and I don’t know what everybody else calls theirs.  Yeah. We had Genie. Genie would talk to you. I mean, I’m not just saying it. Please go watch the videos. We have them. So you would just talk to the car, and the car would do everything for you. We came up with a device that initially you could install as an aftermarket stereo in the car. Basically, it would connect all the sensors in the car to the outside world. This was the very first time. As a matter of fact, internet connectivity in the car is my technology. Every single car in the world since 2014 has been connected to the internet, and that’s my technology, my patent, and my license. Of course, I’m not getting much money from it. Unfortunately, I’ve kind of been robbed on that. But at least I can brag about it—that’s our technology. So yeah, we brought a whole bunch of technologies to market. My vision back then was to make the car robust enough to drive without a driver.  That’s happening now.  It’s happening now. As a matter of fact, we had a car that we put our system into, and we were demonstrating it. And again, there are hundreds of videos about that technology that you can find on the internet. As a matter of fact, we were on PBS for nine months in 27 countries talking about future cars, and that video is also out there. So that was in 2010. They had a half-hour program with my company and with me about future cars. And everything we said, we had the basis for it, and it happened.  So, Allen, if you had a magic wand and you could wish for anything to happen in your business, what would that be? So as I said earlier, I like to be more focused now. I’m very spread out with the business—not only with the technical side of things, but also with the business side of things. I really want to get away from the business side and just focus on the technology. That’s what I enjoy more. I do the business side because I have no choice. That’s part of the work, right? But I would like to get to the point where I can focus only on technology, and other people can worry about the other things. So that’s my goal.  Okay. So if someone is listening to this and they would like to be like you, what would you advise them? Let’s say they are 20 years old and they want to grow up and be an inventor, come up with solutions, work in different industries, and solve big problems. What’s the path? What would you tell them?  So first of all, don’t be like me, that’s for sure. Honestly, you’ve got to enjoy life more than I do. And I do enjoy life. Again, I have different hobbies. I do different sports. I ski, I bike, and those are my hobbies, right? Most importantly, again, we talked about this at the beginning. You’ve got to like what you do. And doing business is not easy. Don’t expect to get into it and have everything work out. Usually, by default, everything goes wrong. So that’s normal. It used to bother me. It used to make me upset, nervous, and all that. But over the last seven to ten years, I learned that things happen, and you just have to resolve them and go through them. Bad things can happen. Good things can happen. It’s all part of the mix. You’ve got to have a very strong personality. Generally, a good percentage of people go paycheck to paycheck, and it’s mental—it’s in their mind. They make a lot of money. They make $100,000 every paycheck. But if you get a paycheck, your mind is like, “Okay, my next paycheck is coming two weeks from now, then another one two weeks after that,” right? And if those two weeks come and you don’t get your paycheck, they go nuts. They go crazy. So if you’re like that, you cannot go into business. In business, it’s all about failure and success. If you’re lucky, that’s a different story. I can go buy a lottery ticket, and only one person out of millions wins. That’s luck. That’s different.  But then they lose it all. Lottery winners tend to lose it. Within a year, they’re broke.  Yeah, that’s a different story, of course. What I’m saying is that, yeah, some people get lucky. That’s the exception. Don’t compare yourself to that. Don’t go after that.  Don’t count on it.  Doing business is usually a challenge, no matter what. So you’ve got to have a very strong personality.  So yeah, resilience is everything. Well, that’s wonderful. So if someone would like to learn more about SunMan Engineering, or they want to connect with you, what should they do and where should they go? Yeah, the best thing is to please visit the website, which is sunmantechnology.com. There is a contact form there, and you can contact us. We’d be happy to get in touch with you and see how we can help.  Okay, fantastic. Well, Allen Nejah, the CEO and chief engineer of SunMan Engineering, and the inventor of many products in different industries, including InfiniGear, which is going to revolutionize transmissions. Thank you for coming on the show and sharing your insights and wisdom. And those of you who are listening, if you enjoyed this, make sure you subscribe and follow us because every week I bring on an amazing entrepreneur to talk with you. Thanks for coming, Allen, and thanks for listening. Important Links: Allen's LinkedIn Allen's website

Send us Fan MailIn this episode, Kevin Dias discusses the core principles of his "Problem First Method," emphasizing the importance of understanding customer problems deeply before jumping to solutions. Kevin shares stories from his experience in SaaS and healthcare, illustrating how problem-first thinking leads to better product outcomes and avoids costly missteps.Key topics:Mastering Problem First Thinking to Build Better Products with Kevin DiasKey Topics: The core difference between problem-first and solution-first thinking Implementing the feature alignment document for better problem framing The significance of asking “why” multiple times to dig deeper into customer pain points Lessons from real-world stories: failures and successes in product development The role of AI in accelerating development while maintaining human curiosity and critical thinking Strategies for teams to avoid solution fixation and foster customer-centric innovation Practical tools to identify the root causes of issues before building solutions How digital transformation impacts customer expectations and problem-solving Timestamps: (00:00) - Introduction: Why understanding the problem is essential for product success (01:12) - Kevin Dias' background and the problem-first framework (02:10) - The impact of media and cultural experiences on thinking (03:03) - How a shift from solution to problem focus emerged in Kevin's career (04:01) - The story of developing a solution for teletherapy privacy—without enough discovery (05:09) - Applying the Five Whys to reveal underlying problems in diverse industries (06:35) - The influence of AI in development speed and the importance of human oversight (07:45) - The problem atlas and planning versus feature roadmaps (09:05) - The cultural shift in customer sophistication and its effect on product design (10:09) - How to cultivate problem-first thinking within teams and leadership (11:36) - Practical application: avoiding building the wrong solution and saving resources (13:04) - Stories from healthcare and other industries illustrating the problem-first approach (14:01) - The importance of asking better questions for long-term success (15:30) - The role of curiosity and critical thinking amid rapid tech advancements (16:49) - Avoiding “solution fixation” and focusing on customer needs (17:45) - Implementing the problem atlas in teams to prioritize effectively (19:25) - How AI tools should complement, not replace, analytical thinking (20:45) - Building a strategic mindset: mastering the five whys for better outcomes (22:14) - The importance of framing problems clearly before solutions (23:45) - When and how to move problems to the top of planning documents (25:28) - Real-world examples of resource savings through problem-centric planning (29:52) - Learning from failures: the impact of insufficient problem discovery (30:45) - Tools like the five whys and problem atlas as part of strategic product management (32:31) - How data and automation can help minimize manual work, focusing on actual problems (36:40) - The lessons from stories of how getting to the root of problems saved or sank projects (37:34) - Book structure and who should read it (43:10) - The critical role of tools, skilled employees, and avoiding burnout in high-skill roles (45:23) - Final takeaway: understanding the problem before falling for the solution Problem First Method - Kevin Dias buy book here and learn more.  Kevin Dias on LinkedIn Problem First Method Book on Amazon “This is The Wireless Way—where mobility, IoT, and innovation drive real business outcomes.” Support the showCheck out my website https://thewirelessway.net/ use the contact button to send request and feedback. 

In this episode of SCW for Pharma, Evren Ozkaya welcomes Rajeev Kumar, Vice President at Biological E. Limited, a leading vaccine manufacturer and CDMO. Drawing on nearly three decades of experience across pharmaceutical manufacturing, supply chain management, and digital excellence, Rajeev shares his perspective on the evolution of the Indian pharmaceutical industry and the growing importance of quality, compliance, and digitalization.The conversation begins with Rajeev reflecting on how pharmaceutical manufacturing has changed since he entered the industry in the late 1990s. He explains that early pharmaceutical production focused heavily on antibiotics and APIs, where processes were comparatively straightforward and compliance requirements were less demanding. As the industry shifted toward vaccines, biologics, and other complex therapies, manufacturers faced significantly greater expectations around batch validation, data integrity, and audit readiness.Evren and Rajeev then explore the competitive advantages that have helped India become a global pharmaceutical powerhouse. While lower labor costs and large-scale manufacturing capabilities have historically contributed to India's success, Rajeev argues that the industry's strength today extends beyond cost leadership. He highlights India's growing expertise in producing complex biologics and vaccines at scale, supported by a highly skilled workforce and strong engineering capabilities.The discussion then turns to digital transformation and its role in improving productivity and reducing manufacturing costs. Rajeev explains that for advanced products such as mRNA vaccines and biologics, reproducible processes are essential. Monitoring yield, quality, and operational performance in real time requires digital technologies that support consistent execution and data-driven decision-making. He notes that while India continues to maintain cost advantages, future competitiveness will increasingly depend on talent, innovation, and manufacturing excellence.In the second half of the conversation, Rajeev provides a practical introduction to ALCOA+, one of the foundational frameworks for pharmaceutical data integrity. He explains the principles of Attributable, Legible, Contemporaneous, Original, and Accurate data, along with the additional requirements that data must be Complete, Consistent, Enduring, and Available. Rajeev demonstrates how technologies such as electronic batch records, digital logbooks, e-signatures, automated data collection, IoT connectivity, and cloud-based systems help manufacturers satisfy these requirements while improving operational efficiency.The discussion highlights an important connection between compliance and productivity. Rajeev explains that high-quality, automated data not only supports regulatory requirements but also enables better decision-making across manufacturing operations. As a result, investments in digital technologies often create benefits that extend far beyond compliance alone.Finally, Evren and Rajeev examine the future of digitalization in pharmaceutical manufacturing. While many companies still rely heavily on paper-based processes, Rajeev believes manufacturers must adopt digital transformation strategies that align with their level of digital maturity. Looking ahead, he suggests that as regulatory expectations continue to evolve, technologies such as digital logbooks and electronic batch records may become increasingly necessary—and potentially mandatory—for maintaining compliance and meeting future GMP requirements.Evren and Rajeev conclude their insightful conversation by emphasizing that quality, compliance, and digital transformation are becoming inseparable. As pharmaceutical manufacturing continues to advance toward more complex therapies, organizations that combine strong data integrity practices with modern digital technologies will be best positioned to achieve both regulatory excellence and operational performance.

Join Mark Westlake, Founder and CEO of GearBrain, for an essential look at the architecture of our connected future. With over 25 years of digital media and product strategy leadership at foundational platforms like AutoTrader.com and About.com, Mark has built a career helping people navigate complex digital shifts. Today, as the creator of GearBrain's patented IoT Compatibility Find Engine, he is tackling the industry's ultimate bottleneck: fragmentation. In this episode, we move past the era of isolated smart gadgets controlled by disjointed phone apps to explore the rise of GearBrain Assistant—and how autonomous AI agents are quietly turning fragmented smart homes into fully unified, contextual environments.

Edge AI is exceeding the expectations that I had for the technology, at least at this early point in its ramp-up. I had expected it to take longer to reach fruition than it actually has, although you could probably argue that it hasn't come close to reaching even the beginnings of its potential. To understand where Edge AI stands today, where it's going, and when it could potentially get there, I spoke to John Weil, the Vice President and General Manager for IoT and Edge AI Processors at Synaptics, on this week's Embedded Executives podcast.

Podcast: Industrial Cybersecurity InsiderEpisode: Is Your IIoT Strategy Creating More Security Risks?Pub date: 2026-06-09Get Podcast Transcript →powered by Listen411 - fast audio-to-text and summarizationCraig and Dino address one of the most overlooked problems in OT security: the IIoT devices your security tools don't automatically detect.Most OT intrusion detection platforms do a reasonable job of identifying core control-layer assets such as PLCs, drives, and motor control centers. The problem is everything else. Laptops plugged into the network, third-party devices brought in by contractors, and a growing range of connected IIoT equipment often go completely undetected. Those are the gaps where risk accumulates.Craig and Dino explain why the belief that machines are air-gapped is a dangerous myth, how PLCs acting as gateways prevent intrusion detection platforms from seeing the devices behind them, and why an asset inventory is not the same as knowing your real risk and CVE exposure in multi-vendor environments.They reframe OT cybersecurity as a process-integrity problem and show how unmanaged network activity, third-party remote access, and even routine IT security scans can quietly degrade OEE and trigger unplanned downtime that costs millions.Using predictive-maintenance analogies such as thermal, harmonics, and vibration sensing, they make the case for treating digital anomalies the same way mature plants already treat mechanical ones.They close by examining why so many OT detection tools become shelfware, how to escape alert fatigue, and the two practical paths to real IT/OT convergence: building the right relationships with OEMs, system integrators, and AEC partners, and designing security-ready facilities from the ground up.It's a practical listen for CISOs, plant and engineering leaders, and OT/IT teams responsible for securing manufacturing and critical infrastructure.Chapters:(00:00:00) - Why No Industrial Asset Is Truly Air-Gapped(00:01:08) - IoT vs. IIoT: How OT Assets Get Classified(00:03:15) - The Control-Layer Blind Spot: Drives, Robots, and Motor Controls(00:05:25) - How PLC Gateways Hide Assets From Intrusion Detection(00:07:30) - Asset Inventory Isn't Risk: The CVE Gap in Multi-Vendor Plants(00:08:55) - When Cyber Blind Spots Become Costly Downtime(00:10:05) - Process Integrity: How Security Scans Disrupt Production(00:11:35) - Predictive Maintenance Meets Digital Anomaly Detection(00:17:45) - Avoiding OT Shelfware and Alert Fatigue(00:19:45) - IT/OT Convergence: Choosing a Partner and Building Secure-by-DesignLinks And Resources:Want to Sponsor an episode or be a Guest? Reach out here.Industrial Cybersecurity Insider on LinkedInCybersecurity & Digital Safety on LinkedInBW Design Group CybersecurityDino Busalachi on LinkedInCraig Duckworth on LinkedInThanks so much for joining us this week. Want to subscribe to Industrial Cybersecurity Insider? Have some feedback you'd like to share? Connect with us on Spotify, Apple Podcasts, and YouTube to leave us a review!The podcast and artwork embedded on this page are from Industrial Cybersecurity Insider, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.

Leave the farm without killing the chickens, or losing remote access? We dig into how we pulled it off: Frigate, local automation, sun-tracking coop doors, and a network that shrugged off an ISP outage.Sponsored By:Jupiter Party Annual Membership: Put your support on automatic with our annual plan, and get one month of membership for free!Managed Nebula: Meet Managed Nebula from Defined Networking. A decentralized VPN built on the open-source Nebula platform that we love.Support LINUX UnpluggedLinks:ConnecTen Internet — Get $35 off your order total with Jupiter35

In this episode of The Future of Fitness, host Eric Malzone sits down with Erik Jivmark, CEO of Sleep Cycle, to discuss how passive tracking technology is transforming the health and wellness industry. For 15 years, Sleep Cycle has been quietly analyzing a millennium of sleep every single night, leveraging audio and advanced machine learning algorithms to map sleep stages with the same precision as leading wearable hardware. Now, the company is democratizing this massive data layer by opening up its seamless Sleep SDK to developers, health apps, and IoT providers worldwide. Erik shares the brand's incredible origin story—from an iPhone taped to a bed to a global network tracking millions of nights—and pulls back the curtain on their upcoming FDA-regulated clinical validation study aimed at diagnosing sleep apnea risk with just a single night of phone-based audio tracking. Whether you are building an AI health coach, looking to scale passive monitoring, or eager to understand why sleep is the ultimate foundational layer of longevity, this conversation explores how the future of public health belongs to frictionless, hardware-free technology.   

In this episode of Tank Talks, Matt Cohen sits down with Aidan Madigan-Curtis, Partner at Eclipse, for a sharp conversation on physical AI, frontier tech, robotics, manufacturing, and the future of building in the real world. Aidan shares her unlikely path from a small mountain town in Penticton to Harvard, Bridgewater, Apple, Samsara, and now Eclipse, where she invests at the intersection of atoms and bits.She breaks down what factory floors taught her that most software-first founders miss, why physical AI is becoming one of the biggest venture capital opportunities of the next decade, and what the U.S. and Canada must understand about China's manufacturing advantage. From launching the first Apple Watch manufacturing lines to scaling Samsara's hardware operations and investing in autonomous excavation, robotics, energy, defense, and supply chain technology, Aidan brings a rare operator-investor perspective to one of the most important shifts happening in tech today.Buckle up to understand why the next wave of AI won't just live in software; it will reshape factories, robots, infrastructure, and the physical world around us.The Unlikely Path from Penticton to Harvard (00:04:25)Aidan shares the wild story of growing up in a tiny Canadian mountain town, applying to Harvard almost by accident, and nearly missing her acceptance letter because it sat undelivered in a PO box. She reflects on how community support, risk-taking, and a willingness to swing big shaped the rest of her career.Bridgewater, Systems Thinking, and Conviction Investing (00:09:00)Aidan explains how Bridgewater's fundamental, systematic approach to markets shaped how she evaluates venture opportunities today. She breaks down why Eclipse starts with deep theses, pressure-tests industries, and backs founders before the market fully understands where the world is going.The Factory Floor Lesson Every Founder Needs (00:17:27)Drawing from her time launching Apple Watch manufacturing lines, Aidan explains why the best founders must balance brutal honesty with extreme optimism. She argues that founders who get “high on their own supply” lose touch with reality, while founders without belief cannot rally a team to do the impossible.Why Physical AI Was the Bet Before It Was Cool (00:20:34)Aidan walks through her career pattern of choosing the “unsexy” path before it becomes obvious: Bridgewater before it was famous, Apple supply chain when software was eating the world, Samsara before industrial IoT was hot, and Eclipse before physical AI became a major venture category.China's “Vibe Manufacturing” Advantage (00:28:37)Aidan unpacks Eclipse's China Field Notes and explains what “vibe manufacturing” really means: a deeply layered, highly competitive, fast-moving manufacturing ecosystem that can turn ideas into physical products at extraordinary speed. She discusses China's compounding advantage in tooling, suppliers, human capital, robotics, and government-backed industrial competition.Where the U.S. Is Ahead and Behind in Robotics (00:37:18)Aidan breaks down the robotics race between the U.S. and China. She says the U.S. remains highly competitive in embodied AI, autonomy, and goal-oriented machine intelligence, but lags badly in manufacturing depth, actuators, magnets, physical iteration speed, and lower-level robotic control.The Robotics Data Problem (00:41:14)Aidan explains why video data alone is not enough to build general-purpose robotics. She discusses the need for proprioception, haptics, physics data, and real-world interaction data, plus why China's robotic data farms could become a major strategic advantage.Canada's Opportunity in AI, Energy, and Deep Tech (00:44:47)As a Canadian-born investor, Aidan lays out where Canada can win: talent attraction, smart immigration policy, abundant clean energy, AI infrastructure, university research, biotech, quantum, defense, and strategic government offtake. She argues Canada has the raw ingredients to become a major player if it moves with urgency.Eclipse's Interest in Canadian Founders (00:49:20)Aidan shares that Eclipse is already investing in Canada, including companies in Toronto and Vancouver, and is actively interested in deep tech and physical AI founders coming out of Canada's strongest ecosystems.About Aidan Madigan-CurtisAidan Madigan-Curtis is a Partner at Eclipse, where she invests in physical AI, robotics, manufacturing, energy, defense, supply chain, and frontier technology companies. Before Eclipse, she was an early executive at Samsara, helping scale the industrial IoT company from pre-product to public company. She previously worked on Apple's manufacturing team for the first Apple Watch and began her career at Bridgewater, where she developed a systems-thinking approach to markets and complex industries.Connect with Aidan Madigan-Curtis on LinkedIn: https://www.linkedin.com/in/aidan-madigan-curtis/Visit the Eclipse website: https://eclipse.capital/Connect with Matt Cohen on LinkedIn: https://ca.linkedin.com/in/matt-cohen1Visit the Ripple Ventures website: https://www.rippleventures.com/ This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit tanktalks.substack.com

Discussions at Fiber Connect 2026 addressed fiber deployments across a range of access and transport applications for broadband, wireless, data center and IoT uses.Clearfield bills itself as “The Fiber to Anywhere Company” and offers a wide variety of patented designed and manufactured components and connectivity elements that help speed up fiber deployments at lower labor costs.Anis Khemakhem, Chief Commercial Officer at Clearfield, joined John Celentano, Inside Towers Business Editor, at the event to discuss the opportunities and challenges with achieving efficient and cost-effective fiber deployments across a range of digital infrastructure applications. Support the show

In this episode of China Manufacturing Decoded, Adrian is joined by Paul Adams, Head of New Product Development at the Sofeast Group's contract manufacturer Agilian Technology, to discuss one of the most common assumptions hardware founders make before moving into tooling: that tooling will take “8 to 12 weeks.” Paul explains why that figure can be true in very simple cases, but why it is often misleading for real consumer electronics, IoT, and hardware products. Tooling timelines depend on design readiness, DFM review, part complexity, steel selection, toolmaker capacity, customer responsiveness, and the timing of Chinese holidays such as Chinese New Year and Golden Week. They also discuss why the tooling clock does not really start when the purchase order is placed, why T0, T1, and T2 trials need to be planned carefully, and why founders should build schedule buffers before cutting steel. For hardware startups and product teams preparing for injection molding, metal stamping, die casting, or other production tooling, this episode explains how to build a more realistic tooling schedule and avoid costly launch delays.   Podcast sections 00:00:31 – The “8 to 12 week tooling timeline” 00:02:28 – What tooling includes and why it matters 00:04:21 – Tooling cost and why first-time founders get caught out 00:06:08 – Where the 8 to 12 week figure comes from 00:07:23 – Why real consumer electronics products are more complex 00:08:35 – When the tooling timer really starts 00:11:10 – Why design readiness and DFM review are critical 00:13:26 – How part complexity affects tooling lead time 00:13:50 – Steel selection: P20, H13, and tool life 00:15:40 – Responsiveness during T0, T1, and T2 trials 00:16:26 – Why being in China can speed up tooling decisions 00:19:03 – Planning around Chinese New Year, Golden Week, and May Day 00:21:47 – How to create a tooling schedule that works 00:22:05 – Reviewing the DFM report properly before cutting steel 00:24:00 – Building a tooling specification and critical path plan 00:25:34 – Understanding T0, T1, T2, and rework cycles 00:27:45 – Why you should always build in a schedule buffer 00:28:56 – Why many tooling delays come from the customer side 00:30:15 – Final advice: understand the full tooling process   Related content Tooling Management for Plastic Injection Molds in China Plastic Injection Mold Tooling Management & Risk Reduction [Podcast] Common Design For Manufacture Improvements On Plastic Injection Molded Parts Injection Mold Tooling Roadmap: How to Get from Smart Design to T1 Samples What are Plastic Injection Mold Tooling Revisions? (3 examples) How To Make Faster Injection Mold Tooling [7 Tips] Plastic Injection Molding Pilot Runs: What You Need To Know The Four Levels of Plastic Injection Molding Suppliers in China Get in touch with us Connect with us on LinkedIn Contact us via Sofeast's contact page Subscribe to our YouTube channel Prefer Facebook? Check us out on FB

How is AI forcing our networks to change? This week, Technology Now is diving into the world of network architecture and asking how AI is forcing us to rethink what it looks like. We ask how AI requirements are different to regular computing, we explore why this makes cacheing obsolete, and we ask how our networks are going to continue changing into the future to cope with the demands of our new AI native world. AE Natarajan, SVP, general Manager for Routing Infrastructure Solutions, HPE networking, tells us more.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.About AE: https://www.linkedin.com/in/ae-natarajan-b79202/

We're sitting down with Chris Szymanski, Director of Product Marketing and Technology Strategy at Broadcom, for the inside track on Wi-Fi 8, edge AI, and smart home trends. Chris tells us how combining Wi-Fi 8 chipsets with advanced processing units and embedded AI acceleration enables smarter, self-optimizing networks across residential and enterprise environments. We talk about how edge AI is reshaping traffic patterns—driving more uplink demand, ultra-low latency requirements, and the need for deterministic, highly reliable connectivity. Chris also highlights how unified wired and wireless architectures are enabling AI-driven operations, enhanced security, and proactive network performance. In the smart home, we learn about how AI is moving from the cloud into devices to power adaptive, context-aware experiences across IoT, voice, video, and automation, and the critical role Wi-Fi 8 will play as the “nervous system” connecting this intelligent ecosystem. Tune in for key insights into AI-ready networking, evolving infrastructure demands, and how Wi-Fi 8 will support the next generation of connected experiences.For Wi-Fi AllianceFor Membership InfoGeneral Contact

309. bölümde Hanover Messe Türkiye WIN Eurasia Proje Yöneticisi Sena Mengül ile üçüncü kez bir araya geldik. 32 yıllık geçmişe sahip fuarın 2026 edisyonunu, endüstriyel otomasyonun Türkiye'deki dönüşümünü, entegre üretim teknolojilerini ve bu yılın yeni projelerini konuştuk. 10–13 Haziran 2026, İstanbul Fuar Merkezi. Bu bölüm WIN EURASIA hakkında tanıtım içerir. WIN EURASIA, 10-13 Haziran 2026 tarihleri arasında İstanbul Fuar Merkezi'nde 32. kez düzenlenecek. Hannover Fairs Turkey organizasyonunda "Otomasyonla Daha İleriye" mottosuyla gerçekleşecek fuar, altı salonda 55 bin m²'lik alanda ziyaretçilerini ağırlayacak. WIN EURASIA'ya ücretsiz buradan kayıt olabilirsiniz. (00:44) Türkiye'de otomasyonu en çok şaşırtan gelişme (02:37) WIN Eurasia nedir? 10–13 Haziran 2026 (03:47) "Otomasyonla Daha İleriye" mottosunun arkasındaki vizyon (06:14) Entegre sistemler: teknolojiler neden birlikte sergileniyor? (09:01) Salon 7: IoT, endüstriyel yapay zeka ve 5G bir arada (10:49) Nereden başlayacağını bilmeyen üretim müdürüne ne sunuyor? (13:19) İlk kez: Bakım-Onarım Atölyesi neden bu yıl açıldı? (16:42) Urban Steel Rockstars: endüstriyel influencer dünyası (21:13) eleman.net iş birliği: fuar bir istihdam platformuna dönüşüyor (22:50) Uluslararası alım heyetleri ve B2B program (25:17) Almanya, Japonya, İtalya pavilyonları Türk firmalar için ne anlama geliyor? (27:36) Türk üretim sektörü dönüşümde nerede? İyimser miyiz? (29:37) Kayıt ve ziyaret bilgisi https://www.win-eurasia.com/tr (31:32) Kitap önerisi: Asla Yalnız Yeme – Keith Ferrazzi Sosyal Medya takibi yaptın mı? ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠X⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠  – ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ – ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Linkedin⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ – ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Youtube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ – ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Goodreads⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Bülten⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ – ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠E-Posta⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ – Bu çalışmaları ve emeklerimi desteklemek için ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Patreon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠  ve ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Buy Me A Coffee⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ hesabımız⁠⁠⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode, Tessa Burg talks with Stephen Trammell, Vice President of New Business Models at Nestlé Purina North America, about what it really takes to build stronger customer relationships in a digital world.  Instead of focusing on the point of sale, Stephen explains how brands can create value across the full pet ownership journey by understanding real needs, solving real pain points and showing up in ways that feel natural and helpful.  The conversation dives into how teams can decide when to build, buy or partner, what makes a pilot worth scaling and why loyalty is a better goal than short-term conversions. This is the conversation for marketers and business leaders who want to think bigger about growth, innovation and the customer experience.  Leader Generation is hosted by Tessa Burg and brought to you by Mod Op. About Stephen Trammell: Stephen Trammell is an experienced marketing leader who bridges traditional marketing with digital innovation.  His career in consumer products spans over two decades.  He currently serves as Vice President of New Business Models at Nestlé Purina North America, leading Purina's portfolio of digital-first brands.  He has worked in marketing research, led billion-dollar brands like Fancy Feast and is currently pioneering digital platforms and apps including myPurina, Petfinder and Petivity's portfolio of IoT-connected pet care devices and health kits.  Stephen can be reached on LinkedIn. About Tessa Burg: Tessa is the Chief Technology Officer at Mod Op and Host of the Leader Generation podcast. She has led both technology and marketing teams for 15+ years. Tessa initiated and now leads Mod Op's AI/ML Pilot Team, AI Council and Innovation Pipeline. She started her career in IT and development before following her love for data and strategy into digital marketing. Tessa has held roles on both the consulting and client sides of the business for domestic and international brands, including American Greetings, Amazon, Nestlé, Anlene, Moen and many more. Tessa can be reached on LinkedIn or at Tessa.Burg@ModOp.com.

El programa 2882 de Radiogeek, les habló de varios temas importantes. ¿Tu hogar inteligente es realmente seguro? Los riesgos ocultos del IoT; Telegram vuelve a Wear OS cinco años después con una app oficial en beta; Telegram vuelve a Wear OS cinco años después con una app oficial en beta; Apple lanza iOS 26.5.1 para corregir un bug crítico de carga en el iPhone; Anthropic amplía su avance de Claude Mythos a más socios; X ahora está haciendo videos de reacciones al estilo TikTok; Hackers tomaron cuentas de Instagram engañando al chatbot de soporte de Meta; y por último Trump firma una orden ejecutiva solicitando a las empresas de IA acceso anticipado a modelos avanzados. Toda esta información la pueden encontrar desde nuestra web www.infosertec.com.ar o bien desde el canal de Telegram/Whastapp, o Instagram. Esperamos sus comentarios.

Ørsted closes its European offshore sale to CIP and weighs a $1 billion exit from the US market. Plus MingYang commissions a 20 MW offshore turbine, and ZF’s plain bearings log 36 GW with no measurable wear. Sign up now for Uptime Tech News, our weekly newsletter on all things wind technology. This episode is sponsored by Weather Guard Lightning Tech. Learn more about Weather Guard’s StrikeTape Wind Turbine LPS retrofit. Follow the show on YouTube, Linkedin and visit Weather Guard on the web. And subscribe to Rosemary’s “Engineering with Rosie” YouTube channel here. Have a question we can answer on the show? Email us! [00:00:00] The Uptime Wind Energy podcast, brought to you by StrikeTape, protecting thousands of wind turbines from lightning damage worldwide. Visit StrikeTape.com. And now, your hosts Allen Hall: Welcome to the Uptime Wind Energy podcast. I’m your host for today, Allen Hall, along with Matthew Stead, Rosemary Barnes, and Yolanda Padron. If you’re going to be in Houston for Clean Power 2026, mark Wednesday, June 3rd on your calendar. The Australian American Chamber of Commerce, Texas is hosting an invitation-only panel and networking reception with cocktails from 6:00 to 8:00 PM at the Houston Club, and I’ll be moderating. We’re bringing together Australian and US wind energy experts to compare notes on how two markets handle O&M, lightning risks, blade inspections, remote monitoring, and where operational gaps [00:01:00] are. The evening also marks the North American commercial launch of EOLOGIX-PING’s satellite-based lightning monitoring system, developed with Adelaide-based satellite IoT company, Myriota. So in joining me on the panel, our own Matt Stead, co-founder of EOLOGIX-PING, and Mark Norman, VP of Edge Solutions at Myriota, and Weather Guard’s Yolanda Padron. EOLOGIX-PING and Myriota have systems already deployed in Japan and Australia, and a little bit in the US here at Weather Guard, and they’re stepping into the North American market at American Clean Power with this advanced lightning monitoring product. So you’ll want to be there and see this new product introduced. It is an invitation-only event, so if you’re at Clean Power and want to be in the room, reach out to us on LinkedIn so we can get you on the list. Orsted finished selling off its European offshore wind business to Copenhagen [00:02:00]Infrastructure Partners, better known as CIP or as it’s a-affectionately called CIP. Now, Bloomberg reports the Danish company is exploring a sale of its US portfolio also, which includes a whole bunch of wind. It’s a decent amount of solar and battery storage in a deal that could bring more than about a billion dollars. Uh, the business generated more than one-fifth of Orsted’s total operating income just last year. Uh, meanwhile, uh, more than 50 US organizers are urging RWE CEO, Markus Kroeker, not to hand back over $1 billion in US offshore wind leases as part of a reported deal with the Trump administration. Uh, so the, the pattern is clear, everybody. European developers are being pushed towards the exit in the American market. The Ørsted situation’s been going on several months now. I, I think it’s pretty much common [00:03:00] knowledge, I would assume at this point. W- we’ve known for months, and I th- think a lot of people we’ve talked to have been saying Ørsted is prepping for a sale. The question is who? And the, the RWE getting rid of their offshore leases in the United States would be a little bit of a odd move. However, a billion dollars back in your bank account is probably a smart move today. So are the, the Germans and the Danish leaving America?  Yolanda Padron: Ørsted’s still keeping their offshore in the US, right?  Allen Hall: Yeah, I don’t know if they’ll be able to sell it off. They own it 100% at this point, right? All the partners have pulled out But I wonder if that’s on the auction block also. That it could be  Matthew Stead: So why? Why are they, why are they selling? I mean, there has to be a reason. I mean, do they have better use for the money elsewhere, or do they just have lost faith in the, the USA?  Allen Hall: It could be a combination of both, right? Both can be true at the same time. I do think the cash flow is an issue [00:04:00] for renewable energy companies at the minute, so if they can get some money back into the coffers and to get ready for the next big run of development, they probably should do it now. But things, especially it does seem a little bit on the slow side on the re- renewable development, except in the UK where it’s going crazy.  Do you think then that they’re looking for American people to sell it to?  Allen Hall: Or Canadian. If Ørsted sells their onshore business, uh, to CIP, it still remains in Danish hands, so it wouldn’t necessarily be a, uh, removal of the Danes from America, not, not quite. Matthew Stead: Yeah. I’m just a bit confused why, you know, why, you know, why would it, um, attract a good price at the moment? So I would’ve thought, you know, if it was me, I would’ve take the long-term view and just hang onto it.  Allen Hall: Well, the, the tax credit’s already built into those businesses, right? I, I at least that’s what I would assume, that the, the tax credits are still [00:05:00] available on a number of the Ørsted sites. They’re not that old. A lot of the wind sites are not that old, so you could gain that tax advantage. It may make sense. It may be a, a Berkshire Hathaway or somebody like that may, may jump into the mix.  Rosemary Barnes: Yeah, and maybe because there’s not so much opportunity for new developments at the moment, that might be maybe it’s appealing for that reason, that there’s, yeah, not, not so many wind opportunities around, and companies want wind in their portfolios, so. Allen Hall: Or data centers like we just saw with NextEra and Dominion. The, the drive for, for data centers, uh, is pushing the, the power demand, and if you could buy wind, solar, and battery all together, most of it kind of co-located, you could put some data centers in Texas ’cause a vast majority of that Ørsted fleet is in a place where you could plant a data center right next to it. Maybe that’s, maybe that’s the thought. Uh, if they saw NextEra and Dominion join hands, maybe there’s another partnership in the mix. That would be really interesting. Maybe it’s Elon. Maybe [00:06:00] SpaceX or, uh, Tesla could just buy Ørsted’s onshore wind business. That would be a- amazing.  Matthew Stead: I thought they were going into space. Why would they be bothering with the Earth?  Allen Hall: You gotta power the rockets before you launch them, right? You get so-  Matthew Stead: gotta get some power from somewhere. Allen Hall: Delamination and bondline failures in blades are difficult problems to detect early. These hidden issues can cost you millions in repairs and lost energy production. CIC-NDT are specialists to detect these critical flaws before they become expensive burdens. Their nondestructive test technology penetrates deep into blade materials to find voids and cracks traditional inspections completely miss. CIC-NDT maps every critical defect, delivers actionable reports, and provides support to get your blades back in service. So visit cicndt.com because catching blade problems early will save you millions[00:07:00] China has commissioned what is being called the world’s largest offshore wind turbine. It’s a 20-megawatt machine built by MingYang Smart Energy, installed off the coast of China in the South China Sea. The structure stands about 240 meters tall with blades around 128 meters long. That’s a pretty good-sized blade. And it’s rated to survive gusts up to 80 meters per second. But the real story is what researchers are watching after the turbine starts up. Early reports say that the rotor that is massively big will create measurable changes in local air currents and temperature distribution. At this scale, offshore wind creating a physical footprint that scientists want to measure and We have seen this effect here at Weather Guard Lightning Tech, watching storms go through the big wind farms [00:08:00] in the United States. So you can actually see storm behaviors change because of the quantity of turbines, and the turbines are getting to be high enough with the hub heights approaching 100 meters. But nothing as big as a 20 megawatt machine out on the ocean. It’s mixing the t- the, the air quite a bit, changing the temperature. Uh, is this something that climatologists are looking at, Rosemary, or, or, or watching closely, particularly with the, uh, fish life and sea life around the wind turbines?  Rosemary Barnes: I don’t know. My thing with MingYang is that they’re always, like, you only ever hear about them ’cause they’re announcing the biggest something, right? Um, that’s like the extent of it. It’s not like you hear about, oh, there’s a wind farm near you and it’s gonna have MingYang turbines in it. You never hear that. You only hear about they’ve got the biggest, and now next year they’ve got the new biggest, the biggest, the biggest, the biggest. And, uh, it’s like I know that they do actually make some, like, a lot of turbines. I think they’re in the, we mentioned last week, they’re in the top five manufacturers, um, mostly or maybe [00:09:00] pretty much entirely for the Chinese market. Um, so it’s not like I think they don’t make anything. But I do think it’s quite easy to announce the biggest something. This announcement is also like, yeah, okay, but is it real? Like it’s the, it’s a big, it’s a really big turbine. It’s going pretty high, but like offshore, um, there are, I think, onshore turbines being announced that are gonna go as high or higher because, you know, onshore, um, turbines have much taller towers than, than offshore. So I actually don’t think that it probably is a record for the tallest, like, tip that’s scraping. This is a thing that’s always happened, and sure, that’s interesting to have a look at and see if it has any local impact. It’s not like it’s, it’s not creating energy, right? It’s not gonna warm up, um, the, the planet. I mean, it’s, yeah, taking energy out of the, the air and then converting it to electricity. Um, so overall you’re gonna end up with the same amount of, of energy. But yeah, could be interesting to study, study what’s happening specifically.  Matthew Stead: I think it’s a so what question. You know, so what? I mean, I can sneeze and [00:10:00] I’d change the local environment, but who cares if I sneeze and change the local environment? You know, the, you know, the weather is inherently turbulent and, you know- There’s mixing and there’s all sorts of stuff naturally occurring. Yeah, my question is, so what?  Rosemary Barnes: Yeah. I mean, it’s interesting in terms of, like, wakes of wind turbines and, you know, there’s, uh, people are researching that more because it’s not well enough understood, I think, for some of the really big offshore wind regions where there’s heaps of different wind farms and, you know, like, you’re gonna wanna know if you’ve got a win- an existing wind farm or you’re planning one, and then they sell, um, rights to build one immediately upstream of you, then, you know, you’re gonna wanna understand how, how all that local atmospheric stuff is, is happening exactly. Um, but yeah, like, it’s not, it’s not quite new and it’s not, yeah, like you said, it’s not unique to wind turbines. Um, so yeah, it is, like, slightly interesting, I would say. 5 out of 10 interesting.  Allen Hall: How much time should we spend on contrails? [00:11:00] Because we spent a good 20 minutes before we started this podcast talking about contrails, which is a one or maybe a negative one on the scale of should I follow this? Rosemary Barnes: How interesting is the fact that air travel is contributing to climate change? How interesting is that on a scale of one to 10?  Allen Hall: Zero.  Matthew Stead: Eight.  Allen Hall: It’s like the, it’s like the cow argument, right?  Rosemary Barnes: Allen doesn’t care about climate change. That’s okay.  Allen Hall: You asked me to put it on a ranking of where it is in importance. It’s, it’s nowhere near m- even a five.  Rosemary Barnes: Yeah. So Yves said zero. Matt said eight. What about you, Yolanda? How, how interesting is the fact that air travel impacts climate change?  Yolanda Padron: I think it’s, like, a six.  Rosemary Barnes: Six. Okay. And so did you know that, um, airplanes are 2.5% of the world’s emissions, um, come from air, air travel? And did you know that I think it’s [00:12:00] 4% of the world’s warming comes from air travel? Of the warming, two-thirds of the warming that is caused by air travel or airplanes, uh, could be freight as well, it’s not to do with CO2. So some of that is, you know, like other, um, gases like NOx is a pretty potent greenhouse gas. Contrails are the biggest single component, the single biggest factor causing warming from, um, from air travel. And it’s not, it’s not necessary. You know, every airplane doesn’t create contrails in every trip. It’s, it’s a small number. Like, it’s a pretty small number of trips that are making contrails, and if we can better understand how like, what are the factors that lead to a contrail being formed or not, then we can avoid them and, you know, get rid of a, a percent or two of the world’s global warming. I think that’s just really huge.  Matthew Stead: What would you do about it, Rosie?  Rosemary Barnes: There’s a couple of solutions I know that other people are working on that sound very interesting to me. So the first is that if you change the fuel, like, [00:13:00] um, to sustainable aviation fuel, like a, a biofuel, some of those that have been tested also produce less contrails. I don’t know the exact reason why. Would be interesting to find out. That’s one thing. But secondly, um, if you can get good data about, like, very local atmospheric conditions and, you know, let the world’s airplane fleet can communicate with each other and some AI processing in real time, you can make small changes to your flight path to avoid making contrails, and yeah, you get, um, a small increase in, in f- fuel burn, I guess, from deviating from the most efficient route, but a big, big inc- um, decrease in contrails. Uh, so I think both of those are really promising solutions.  Allen Hall: It’s not that easy It isn’t like every airplane’s out there changing its altitude to keep away from creating contrails. There’s whole systems, thousands of people working at any one moment to keep airplanes up in the air. So it, it’s not something you just willy-nilly say, [00:14:00] “AI can adjust my altitude or my flight plan to deviate so I can prevent contrails.” It’s not that easy. It’s actually a huge undertaking, and it may end up burning more fuel.  Rosemary Barnes: Oh, I mean, it’s an incredibly complex system to keep airplanes up and not colliding. Um, I believe it’s not centrally planned. It’s not like you’re not logging your whole flight path any- anymore. I, I listened to a podcast about this the other day, and in the past you used to log your entire flight plan and not deviate from it, but now it, it’s done a bit on the fly. So I’m sure that there are already hundreds or thousands of factors that an aircraft computer is taking into account, um, when it’s figuring out exactly where it’s gonna go, and this would be another bit of complexity. I don’t, I don’t think it’s easy, otherwise we’d already be doing it. But I think it’s, it’s promising. And I think it’s easier than making hydrogen airplanes, for example. I think it’s easier than electrifying airplanes. And the fact of it is that even if you do [00:15:00] have sustainable aviation fuel, if it’s still making contrails, it’s still causing warming. So if you wanna actually s- solve, uh, you know, heating from flying, then you have to, you have to tackle the contrail part of the problem. It’s the biggest, it’s the biggest chunk on its own, bigger than CO2.  Matthew Stead: So did we get here by talking about possible contrails from wind turbines? Is that what we were talking about?  Rosemary Barnes: No. It was because Allen was saying before that we were gonna go off the rails, and he’s like, “Oh, you know what? In no time we’ll be talking about contrails,” like using it as an example of a tinfoil hat-wearing person. And I’m like, “Actually, that is a tinfoil hat that I do like to wear,” the contrails one. Um, not because I think the government is controlling me, uh, with with, you know, targeted hor- hormone or chemical releases via contrails, but because of the global warming potential.  Matthew Stead: Could a, a really tall wind turbine create contrails? What, what’s the physics behind that?  Allen Hall: [00:16:00] It’s just, um, water, right? So you’re just condensing water and shoving it out the back. When you’re burning hydrocarbons, it’s one of the byproducts, right? It’s like in, when, in an internal combustion engine, you see water dripping out the tailpipe. It’s this very similar kind of thing. Uh, so how much water comes out is dependent upon somewhat the fuel, as Rosie’s pointed out, so you can slightly change it, but a lot of it has to do with the temperature, altitude, pressure moisture content of the air, all those different factors play into it. So you’d have to have, in order to go look at it, you’d have to have a bunch of sensors on the airplane, which, which the aircraft may have some of them, but probably not enough to determine if they’re creating contrails besides looking out the window to see what’s coming out on the backside of the engine. Matthew Stead: A wind turbine could not create contrails. The pressure differential and the, the vapor pressure-  Allen Hall: Yeah, it’s not enough to, you’re, you’re not, you’re not changing temperatures enough, [00:17:00] right? So you, you basically have to change the dew point. That’s the way I would think about it. You have to change the dew point somehow, which I guess you could do maybe by a degree or so locally, you may be able to, to change it, and maybe you could. Um, well, we have seen tip vortices, right? So tip vortices, you have seen these contrails off the, the tips of, of, of aircraft wings.  Rosemary Barnes: But are they durable? You know, ’cause like, yeah, you see tip vortices off, yeah, off wing, wingtips, off wind turbine tips as well. But I don’t think they stay in the air after, you know, they, um, you can see them, and then they dissipate usually. Allen Hall: Yeah, it, it depends. You’ll see it when aircraft land quite a bit. Depends on what the temperature, humidity is at that particular moment, but th- those will, those will hang around a little bit  Rosemary Barnes: But I mean, certainly you can, you can, um, cause droplets to freeze from a wind turbine being there. That’s how they get iced up, is that their… Or either their water was super cooled to begin with and it just needs a, a surface to latch onto so that the crystal can, [00:18:00] um, form or also, yeah, like, I mean, in the aerodynamics there is that point between where the air goes over and under and you, um, sta- stagnation or-  Allen Hall: Stagnation point?  Rosemary Barnes: Yeah. So you can, um, you, you could get some freezing there. Allen Hall: You can create cold zones.  Rosemary Barnes: I, as far as I know, all that stuff is just causing ice to build up on the blade. I don’t think that it’s, um… Yeah. And anyway, even if it did, like even if you did affect the, um, you know, have some ice particles forming in the, um, the wake then it’s just going to, or I don’t know, get hit the next time the, the, the blade goes through or, yeah, fa- fall out I would think ’cause it’s quite close to the ground  Allen Hall: but- Just to tie into what Rosemary’s saying, although I think wasting time on contrails is not worth the effort, I do think meteorologists do not do enough work on big changes that are happening to the planet in regards to, like, renewable energy is one of them, like wind turbines. I [00:19:00] haven’t seen a lot of work done about are wind turbines changing the temperature locally or not. I mean, they- I’ve seen some top level things, solar panels, but the same thing could be seen about shipping.  Rosemary Barnes: Oh, I mean shipping, shipping was, shipping was, um, cooling the planet until we, um, brought in restrictions on how much, um, sulfur emissions that you could, you could make. But can I use this to actually plug a, um, a, a pro- a collaborative project that we’re about to start where actually, uh, this is quite specific to Australia, to Queensland and Northern New South Wales. We’ve got a study, uh, collaborative study from a bunch of wind farms in that area and getting some academic researchers involved to look at how, like very detailed how lightning is in that region. And one of the questions that we’re gonna look at is what, h- how has the, um, the presence of wind farms, like when wind farms are built, how has that affected the local lightning, um, area? [00:20:00] So we’re gonna be able to answer, uh, you know, like to what extent have these wind farms caused increases in In lightning  Allen Hall: Or decreases  Rosemary Barnes: Or decreases. I’d, I, oof, yeah. I, I’d be surprised if it was decreases, and I will say, like, yeah, that area of Queensland, northern New South Wales, um, you know, they get kind of tropical storms, um, heaps and heaps of lightning, you know, hundreds hundreds of, um, strikes in a single storm sometimes, you know, and, you know, in one wind farm. But even if you think, like, uh, down in Victoria, New South Wales and Victoria, where you look at a lightning map and there should be very little lightning there, there are certain sites that are actually having huge problems with lightning, like way more strikes than you would expect based on the map, and I think that partly that’s also ’cause it just varies locally. But the other thing is, like, a l- a lot more of really damaging strikes. It is something that’s the world needs to do more of, is looking into, like, really local lightning, understanding how the wind farm is interacting with the lightning, causing lightning, how it differs from place to place. [00:21:00] I’m really hoping that, yeah, this, this one study that we’re working on now, and anyone who has a wind farm in that area, Queensland, northern New South Wales, if you wanna be involved, get in touch. The more people involved, the cheaper it is. But I think that that’s definitely something that can improve how lightning protection systems are, are designed, if we just know, like, what’s, what’s happening. ‘Cause there aren’t great links between OEMs doing the design and people in the field experiencing damage. Like, they don’t talk. Even when it’s the same company, you know, if it’s Vestas or GE that designed the turbine and is now servicing the turbines, they, they don’t necessarily talk to each other as much as, um, would be ideal.  Allen Hall: Using the EOLOGIX-PING lightning sensors, we just completed a study over a five-year period, uh, just about that subject. Rosemary Barnes: Where, where did you do that?  Allen Hall: In the States.  Rosemary Barnes: And will you be publishing the results and sending a, a letter to Vestas and GE and Siemens and whoever else and send them a letter, “Attention lightning expert”? [00:22:00] Matthew Stead: We’re probably just gonna put it on the website.  Rosemary Barnes: But is there even a, a, a conference, a, a conference for wind turbines and lightning? Con- considering it’s, like, one of the number one O&M things, like we’re-  Matthew Stead: There’s one in Melbourne next year in February.  Rosemary Barnes: I wasn’t attempting to, um, set the stage for, uh, this is why everyone has to come to our event. I mean, it, it, it’s so strange to me that there isn’t just, you know, like, a big conference every year. I mean, it could be every two years where all of the univ- like there’s heaps of people researching it, heaps of people working on designing on it, heaps of people working on operating it, repairing it when it doesn’t work, and, um-  Allen Hall: I think they’re looking at it from a very, uh, local scale And looking at a turbine taking a lightning strike and the things you can do to reduce damage or what the, the physics are locally, ’cause we don’t understand all that much about lightning, honestly. However, on a, on a larger scale, which is what the effort we’re working on right now, is that we’re looking at several states that are right in the thunderstorm alley and where [00:23:00] there’s a lot of wind turbines, thousands and thousands of wind turbines. What you see is, uh, a real change in the, in the weather patterns and in lightning, but it depends on the time of year. And having the EOLOGIX-PING lightning sensors on gives us a better sense of the number of strikes that are occurring, where they’re occurring on the wind farms. Uh, o- otherwise, all the other services that you could use wouldn’t be nearly as accurate. A lot of false positives.  Rosemary Barnes: But I wanna say, like, I think you’re so right that lightning it- it’s very local, like, and s- lightning behaves differently depending where you are. It dep- dep- behaves differently or it affects your turbine differently depending on what kind of LPS you’ve got. But the problem is that it’s not like there’s, um, you know, a catalog of LPSs and you’re like, “This one suits the lightning in Japan, and this one suits the lightning in Queensland.” It’s one– Y- if you want a GE turbine, this is the, it comes with a certain type of LPS, and the same with, with Vestas and, you know, ev- every other manufacturer. And they’ve all, I’m sure, got types of lightning that [00:24:00] they are better or worse suited to, but the information is, is certainly not out there for someone who’s choosing a turbine, and I don’t think that it’s actually properly understood by, by anyone. Because, like, who’s measuring all of the characteristics that you would need to know to design the LPS better? Almost no one. Most of the people doing that in the world are probably, yeah, on this podcast today. Um, but it’s, uh… And, and when they are being measured, is it being communicated back to every OEM so they can know? Like, of course it’s, it’s not.  Allen Hall: I’ll give you a good example because it happened over the past week or two. Looking at a wind turbine blade that had some damage to it, and the question was, was it caused by lightning? That was the question. And that’s a really good question. So I thought, “Oh, this will be easy,” because there’s gonna be a plethora of- lightning test data reports talking about testing of this particular kind of aluminum mesh on fiberglass surfaces, and [00:25:00] there really is not much. I was shocked by it. So I always think like if, if I can’t put my fingers on it readily, then what is a blade engineer or a site supervisor or someone who owns an asset’s gonna do?  Rosemary Barnes: I saw a presentation at Wind Europe last year or whenever I went, when I met with, with you both, probably both of you there, um, uh, that Polytech did where they had done some fatigue testing, um, of copper mesh and its lightning, um, protecting capabilities. And they did f- they, so they, you know, put some mesh into, um, fatigue testing, I, I think, or they, they damaged it a bit with a bit fatigue, some micro cracks and stuff. And they just did find that it heated up a lot after that. Um, you know, after it was a bit damaged, they were getting like real hot spots. And so then you’re gonna start to see laminate damage, um, in the, the area underneath that. So yeah, I, I think that more, more, like it’s a, it’s a good step that we’re now thinking [00:26:00] of, you know, protecting better than what we used to do with just, you know, one receptor in the, the tip and a cable, especially, you know, throw in carbon fiber and you, you know, make a second electrically conductive path and have flashover and stuff. It’s really great that, you know, we’ve evolved beyond that design, but it’s not finished yet. Like th- all those designs are new. There’s a lot of them out there. It sound like everyone’s like, “Oh, it’s, you know, we don’t have to worry if it’s got mesh over the whole blade.” It’s like, okay, maybe you don’t have to worry. Maybe, maybe you do. We, we kind of have to, have to keep on monitoring those for a few years and sharing the information.  Allen Hall: As wind energy professionals, staying informed is crucial, and let’s face it, difficult. That’s why the Uptime Podcast recommends PES Wind Magazine. PES Wind offers a diverse range of in-depth articles and expert insights that dive into the most pressing issues facing our energy future. Whether you’re an industry veteran or new to wind, PES Wind has the high-quality content you need. Don’t miss out. Visit [00:27:00] peswind.com today. In the current issue of PES Wind Magazine, there are a number of great articles. If you haven’t received your copy, you should just go to peswind.com and where you can read it and download a copy. Well, uh, this issue has an article from ZF and talking about gearboxes. And as we all know, inside every gearbox there are bearings and surfaces. Those tend to be the weak links when things break. And for decades, the industry has used roller bearings and, uh, the same kind basically you find in other machines. Uh, they work, but they do wear out. And how many times have you seen bearings, roller bearings wear out inside of gearboxes? Quite a bit. So– And they, they, they break down, they go offline. It’s, it’s a big problem. But ZF Wind Power says it has cracked the code with its hydrodynamic plain bearings. The company has already installed 36 gigawatts of gearboxes [00:28:00] using this technology, and they say field inspections show no measurable wear. Uh, the next generation, uh, which is a single film design, is heading to production in 2027. So ZF uses a different technique to keep their gearboxes running for a long time, which is, uh, it’s a simple device mechanically, but it is quite complicated in the way you have to design materials. Uh, basically plain bearings are what’s used in, in internal combustion engine around camshafts and things of that sort. But designing those and making sure you have the right materials is the trick, Matthew, and you’ve been around cars for quite a while. It’s, it’s the right approach if you can make it work, and it looks like ZF has done a really good job of making these, uh, bearing services work.  Matthew Stead: Yeah, it sounds like a, a perfect, uh, innovation. I, I heard about this the first time, I think it was a couple of years ago. And, and like you said, Allen, um, you know, cars for the [00:29:00] last 100 years or so have, have been using journal bearings. I probably need to fact check that one. It may not be 100 years yet, but definitely cars from a long time ago have been using these, um, these bearings. Um, I, I think, uh, one question is, though, around condition monitoring. You know, how do you actually monitor the condition of the, the s- the surfaces? Um, you know, with a traditional roller bearing, you can use, you know, vibration techniques. I’m not aware of as many condition monitoring techniques for, for the journal bearings. Um, perhaps, um, obviously the oil, oil particle and, you know, checking the oil quality, et cetera, et cetera. But, um, that might be where the gap might occur. But You know, if they’re lasting, if they’re not degrading, um, there’s no moving parts, um, yeah, great  Allen Hall: The issue is lubrication, right? Because you’ve got basically two well-designed flat metal surfaces that you have to provide lubrication to, and those two surfaces are moving relative to one another. The lubrication [00:30:00] matters ’cause you’re literally riding on a very, very thin layer of lubricant. So making sure the lubricant gets in there, that it’s, it’s clean, and it’s always available, uh, is the trick. That’s why in today’s world, a lot of internal combustion engines can go several hundred thousand miles in a vehicle because the lubrication systems have gotten so much better over the last 50, 60 years. And ZF is probably using something very similar, where the, the technology has gotten better and the metallurg- the metallurgy has gotten way better, and control of that. Because the, the bearing surface really matters, and there’s two pieces to it, right? You got this rotating– To simplify it, you got a rotating shaft, and then you have this bearing surface that that shaft sits on. The, the rotating shaft is gonna be made out of something relatively hard, where the bearing surface is gonna be made out of a mixture of metals that is a little bit soft. So if anything goes wrong, that bearing surface, that little race right there, uh, will wear, [00:31:00] and you can replace it. But if kept lubricated and cleaned and proper, that will run dang near forever, as ZF has proven. Matthew Stead: I think it’s the starting load. I think it’s when it’s at stationary and then starts. So I’m getting that initial lubrication. From my understanding, that’s where the, where the challenge lies. And, you know, obviously in a combustion engine in a vehicle, it’s starting and stopping all the time. So, um, but I just wonder, are the loads higher? Um, how does that occur in a, in a actual, um, gearbox on a, a turbine?  Allen Hall: Right. It’s not like a main, uh, shaft bearing, right? The– It’s, it’s in a gearbox. You have a lot of planetary gears and a lot of rotating com- pieces there But the, I think the trick is, one, understanding what’s happening load-wise, and hydrodynamic bearings can have some issues if things are twisting in weird ways. So a gearbox is probably the right place to do this technique because of it’s a [00:32:00] controlled environment necessarily.  Matthew Stead: Alignment.  Allen Hall: Yeah. So you can, you can control how the, the loads are carried internally to it, which would make it last a lot longer. S- because roller bearings and, and all of the complexities around that, uh, we’ve seen those fail so many times inside of wind turbines because it’s hard to control everything about that. Al- although they, they can be extremely durable, I would say ZF is onto something in, in terms of delivering a gearbox that can actually run longer using, uh, good engineering. That’s what it is. It’s just really good engineering. So if you haven’t seen this issue of PES Wind, you should download it today. Go to peswind.com. That wraps up another episode of the Uptime Wind Energy podcast. If today’s discussion sparked any questions or ideas, we’d love to hear from you. Reach out to us on LinkedIn. And don’t forget to subscribe so you [00:33:00] never miss an episode. And if you found value in today’s conversation, please leave us a review. It really helps other wind energy professionals discover the show. So for Rosie, Yolanda, and Matthew, I’m Allen Hall, and we’ll see you here next week on the Uptime Wind Energy podcast.

The latest Gartner Market Guide for Telecom Expense Management Services makes clear that TEM is no longer just about invoice processing, inventory and dispute management, or wireless optimization. The category is expanding into broader technology expense management, cloud, SaaS, UCaaS, IoT, utilities, and even emerging areas like AI license sprawl and API consumption.  Tony Mangino is joined by Theresa Knutson, head of the TC2 IT Cost Management Practice, to review the key updates compared to 2024's Gartner Market Guide and to provide additional market input and insights based on TC2's work with its clients on  competitive RFPs, TEM implementations and TEM health check reviews. 

In this episode of the Crazy Wisdom Podcast, host Stewart Alsop sits down with returning guest Ekue Kpodar for their third conversation together, covering a wide range of topics at the intersection of technology, geopolitics, and the evolving information age. They dig into Ekue's unconventional setup of running local AI models across roughly 15 computers, the growing case for open source models over closed ones from companies like OpenAI and Anthropic, and how Chinese open source models may be positioned to outcompete Western alternatives on a global scale. The conversation also touches on vibe coding and the democratization of software development, the strategic use of small models for IoT and enterprise applications, the role of Israel and China as dominant players in the information age, and how smaller nations and even individuals may wield outsized power as AI continues to collapse the cost of knowledge work. You can find Ekue Kpodar on X @ekpodar and LinkedIn.Timestamps00:00 Stewart welcomes Ekue for their third episode, diving into vibe coding and AI-driven development changes.05:00 Ekue explains using Claude on Chrome to auto-reply on Skool, burning tokens through screenshots, and Playwright as a more efficient alternative.10:00 Stewart describes his Claude-dependent planning and coding agent system breaking after a model update, prompting him to build his own chatbot.15:00 Small models discussed as critical for IoT, defense, and privacy-focused enterprises building internal APIs instead of routing traffic to OpenAI.20:00 Open source versus closed source debated, with Chinese models gaining global traction while US foundational labs remain expensive and restrictive.25:00 SaaS apocalypse explored as AI commoditizes knowledge work, with Linux and Terraform cited as proof open source still generates wealth.30:00 OpenAI's sci-fi terminator fears explained as the reason they stayed closed source, ultimately handing China a strategic open source advantage.35:00 China's economic dumping strategy applied to AI, potentially displacing US model dominance globally the same way manufacturing was disrupted.40:00 Israel's signals intelligence dominance discussed alongside asymmetric warfare, drones defeating tanks, and information control replacing military muscle.45:00 Global information age rankings debated, Israel leading, US and China tied, France and Poland emerging as sovereign tech players.50:00 Qatar, NVIDIA, and Iran cited as proof that rare resources and technology matter more than population size in the 21st century power landscape.Key Insights1. Running local AI models on a network of affordable computers can be more cost-effective than relying entirely on third-party APIs. By using compressed or smaller open source models locally, developers can handle repetitive or lower-stakes tasks without burning through expensive tokens from providers like Anthropic or OpenAI.2. Small AI models are becoming increasingly important for IoT, defense applications, and companies that do not want to send sensitive data to external providers. Organizations can download open source models, run them on internal servers, and build proprietary APIs around them, creating something like an intranet of specialized small models.3. The value created by AI tools is being redistributed away from traditional SaaS companies toward foundational model providers and individual builders. People are canceling subscriptions to software they once paid hundreds per month for, because AI now allows a single person to build comparable tools themselves.4. Open source technology does not eliminate the ability to profit. Linux and Terraform are both open source yet made their creators wealthy. People will still pay for installation, setup, troubleshooting, and customization even when the underlying software is free.5. China is applying its longstanding manufacturing dumping strategy to artificial intelligence by releasing cheap open source models globally, which threatens to erode US dominance in AI the same way Chinese manufacturing undercut other countries for decades.6. In the information age, the size of a country or institution matters far less than its access to rare resources or advanced technology. Qatar, Israel, and NVIDIA each demonstrate that small populations or headcounts can wield enormous global negotiating power through concentrated technological or resource advantages.7. Asymmetric warfare is redefining military power, with inexpensive drones defeating tanks that cost millions to build. This shifts the advantage toward nations that excel at signals intelligence and information management rather than those with the largest conventional military forces.

MetTel's Max Silber discusses how connected laptops, multi-carrier SingleSIM connectivity, and lifecycle management can reduce endpoint friction for enterprise IT teams. By Doug Green, Technology Reseller News In a Technology Reseller News podcast, Doug Green speaks with Max Silber, Vice President of Mobility and IoT at MetTel, about a growing enterprise challenge: keeping laptop fleets connected, secure, and manageable as employees work across offices, homes, customer sites, and the road. The conversation centers on MetTel's Connected Laptop as a Service, or CLaaS, a new offering designed to help enterprise IT teams reduce the time, labor, and complexity involved in laptop deployment and ongoing management. MetTel announced the service as a multi-carrier, agnostic connected laptop offering powered by SingleSIM, giving organizations a way to deliver connected devices without forcing every endpoint into a single-carrier model. Silber explains that the connected laptop has become more than a convenience feature. For many organizations, it is now part of a larger mobility and security strategy. When users depend on public Wi-Fi, hotel networks or unsecured local connections, the enterprise inherits risk and inconsistency. By delivering laptops with always-on cellular connectivity, MetTel is positioning CLaaS as a way to improve both user experience and IT control. A key theme of the podcast is lifecycle management. Instead of asking internal IT teams to image, ship, activate, track and replace devices manually, MetTel's approach uses the MetTel Customer Portal and fulfillment capabilities to move more of that work into a managed service model. Devices can be requested through the portal, shipped directly to users and provisioned with connectivity and customer-specified management tools. For channel partners, MSPs and enterprise technology advisors, the discussion points to a broader opportunity. Laptop management is often treated as a hardware procurement issue, but Silber frames it as a mobility, connectivity and operational resilience issue. As hybrid work matures, the need for secure, predictable and centrally managed endpoint connectivity is becoming part of the larger managed services conversation. MetTel's SingleSIM approach is designed to support data-only devices across carrier networks, devices and geographies. That matters for distributed organizations because a single network may not perform consistently in every region, facility or remote-work location. A multi-carrier model can give enterprises more flexibility while reducing the friction of managing multiple carrier relationships. The podcast also highlights the practical pressure on IT departments. Enterprise leaders are asking for faster deployment, better security and greater employee productivity, while IT teams are already managing large numbers of endpoints. CLaaS is presented as one way to relieve that burden by combining device logistics, activation, connectivity, support and replacement into a more streamlined service. Silber also discusses the role of virtual warehousing and fulfillment. MetTel stages and ships connected laptops from its facilities, helping enterprises standardize configurations and accelerate deployment at scale. The result is a model that treats laptop connectivity as part of the enterprise network, not as an afterthought added after purchase. For Technology Reseller News readers, the key takeaway is that enterprise mobility is moving beyond phones and tablets. The laptop itself is becoming a managed, connected endpoint, and that creates new conversations for service providers, channel partners and advisors serving distributed enterprises. Key takeaways Connected laptops are becoming part of the enterprise mobility and security stack. MetTel's CLaaS offering is designed to reduce the operational burden of laptop deployment, activation, support and replacement. SingleSIM gives enterprises a multi-carrier approach for data-only devices across locations and networks. The service can help organizations reduce dependence on unsecured public Wi-Fi. For channel partners and MSPs, connected laptops create a new managed mobility conversation with enterprise customers. Learn more Visit MetTel's Connected Laptop as a Service announcement: https://www.mettel.net/press/mettel-delivers-connected-laptop-as-a-service/

In this episode, Brian Franco interviews industry expert Mike Pring about the evolution of manufacturing technology, the impact of AI and IoT, and investment opportunities in industrial automation. They explore how technology is transforming manufacturing processes, supply chains, and investment strategies.

Innovation often follows a familiar cycle: rapid expansion, followed by consolidation. Federal agencies are experiencing this firsthand as AI tools and models proliferate across their environments.  This week on Feds At the Edge, technology leaders explore the challenge of rapid innovation and how agencies can regain control before the chaos of disorganized, duplicate data and tool sprawl compromises their missions.   Jim Smid, Federal Solutions Architect, Palo Alto Networks, explains how observability now extends beyond servers and IoT devices to include AI models, tools, and their interactions with agency data. Jessica Souder, AIRS Specialist / Director, Public Sector, Palo Alto Networks, emphasizes that agencies should carefully evaluate new AI tools, validating them in controlled environments, and establishing governance before deployment.   Tune in on your favorite podcast platform to hear why our panel of experts agree that any AI deployment should focus on the agency mission, valid data, and that all projects should commence with visibility.         

One of the more interesting areas where AI is having an impact is in building operations. While building automation technology has made significant advances, AI is bridging gaps in building system controls. Analyst Zöe Roth has been researching the approaches and achievements from various smart building automation technologies and joins host Eric Hanselman to discuss what she's seen and what opportunities lie ahead. Some of the advances from data center information management (DCIM) systems are being applied to smart buildings. A typical building has multiple control capabilities for HVAC, lighting, and mechanical that often aren't interconnected and smart building systems can unify visibility and operations. The integration of AI in smart buildings has to balance a number of different aspects of both the human in the loop for control and the scale that the introduction of cloud-based management offers. Fully autonomous operations may be some time off, but vendors are working to build trust and capability. Cloud-based systems can provide a consolidated view of a portfolio of buildings and improve maintenance operations, but face reluctance in some sectors where on-premises preferences prevail. AI is advancing rapidly and will accelerate further as it matures.   More S&P Global Content: 451 Digital Industries Insider Next in Tech | Ep. 208: Smart Spaces   For S&P Global subscribers: 2026 Trends in IoT, Edge & Digital Industries Smart buildings 2025: Market trends, vertical strategies and vendor positioning Redefining OT security and ensuring operational continuity in the age of hybrid, AI-driven OT   Credits: Host/Author: Eric Hanselman Guest: Zöe Roth Producer/Editor: Feranmi Adeoshun with Barb Dalumpines Published With Assistance From: Sophie Carr, Kyra Smith, Dylan Scheible

João Moura, CEO of crewAI, shares why single AI agents fall short and what changes when you give them a crew. He explains how multi-agent systems are already running inside Fortune 500 companies; why accountability and human oversight still matter as agents grow more autonomous; and what it looks like when an AI agent negotiates on your behalf (and wins). Key Takeaways: How multi-agent systems are already being used inside Fortune 500 companies How agents are starting to watch, review, and debug each other, and what that means for quality control What the shift from better models to better coordination looks like in practice Why data ownership and open-source are becoming the real competitive edge in the AI race What "LLM as a judge" means and how it's becoming a quality control pattern Why accountability and human oversight still matter even as agents become more autonomous Guest Bio: João Moura is the CEO of crewAI. He has over 20 years of software engineering experience, and previously served as Director of AI Engineering at Clearbit, where he transformed AI into a core profit driver, growing a thriving user base and spearheading advancements in large-scale vector databases. João also founded Urdog, an IoT startup, where he developed a smart collar for dogs and managed all aspects of the business. With extensive experience in engineering leadership roles at Toptal and Packlane, he specializes in building high-performing teams and implementing scalable AI and machine-learning solutions. João holds an MBA in Information Technology from FIAP, and completed executive leadership training at NYU Stern. ---------------------------------------------------------------------------------------- About this Show: The Brave Technologist is here to shed light on the opportunities and challenges of emerging tech. To make it digestible, less scary, and more approachable for all! Join us as we embark on a mission to demystify artificial intelligence, challenge the status quo, and empower everyday people to embrace the digital revolution. Whether you're a tech enthusiast, a curious mind, or an industry professional, this podcast invites you to join the conversation and explore the future of AI together. The Brave Technologist Podcast is hosted by Luke Mulks, VP Business Operations at Brave Software—makers of the privacy-respecting Brave browser and Search engine, and now powering AI everywhere with the Brave Search API. Music by: Ari Dvorin Produced by: Sam Laliberte  

Tem gente implantando chip na mão para abrir portas, pagar contas e substituir documentos. Parece coisa de filme futurista. E talvez seja mesmo. Mas a discussão interessante não está entre os apaixonados por tecnologia e os paranoicos do apocalipse digital. Está no meio. Na troca silenciosa que fazemos todos os dias: um pouco mais de conforto em troca de um pouco menos de autonomia. Neste Cafezinho, vamos falar sobre conveniência, identidade digital e o momento em que as ferramentas deixam de estar nas nossas mãos… para começarem a nos possuir.See omnystudio.com/listener for privacy information.