Podcasts about edge ai

Edge AI has been hailed as the future of AI. However, it is yet to take off, and most of today's investment is directed towards cloud AI. Notwithstanding that, some green shoots are emerging. In the episode, I talk to Pete Bernard, CEO of the industry association, Edge AI Foundation, on the reasons behind the slow growth of Edge AI, the challenges the industry is facing, and what use cases and early segments are seeing traction. We also delve into the vision and mission of the foundation, exploring how it is helping the industry address challenges while harnessing opportunities, and what the future holds. 

Join me for episode 444 of the Mobile Tech Podcast with guests Adrian Mikolajczak (Infineon) and Carolina Milanesi (Creative Strategies) -- brought to you by Infineon. Today's episode comes in two parts. First, we explore edge AI, robotics, and quantum computing with Infineon. Second (21:15), we recap the Apple event and share our first impressions of the iPhone 17/17 Pro/17 Pro Max, iPhone Air, AirPods Pro 3, and Apple Watch SE 3/11/Ultra 3. Finally, we discuss Samsung, Lenovo, and TCL's latest devices, and cover news from Nothing, Xiaomi, Huawei, and Vivo... Phew!Episode Links- Support the podcast on Patreon: https://www.patreon.com/tnkgrl- Donate: https://tnkgrl.com/tnkgrl/- Infineon: https://www.infineon.com/event/oktobertech (sponsor)- Silicon Valley Innovation Center: https://svictechzone.vfairs.com/- Edge AI Video: https://www.youtube.com/watch?v=4Xn_iaqs6lM- Adrian Mikolajczak: https://www.linkedin.com/in/adrianmikolajczak/- Carolina Milanesi: https://www.threads.com/@caro_milanesi- Carolina's recap of the Apple event: https://creativestrategies.com/research/slim-smart-integrated-the-real-story-of-apples-september-event/- New iPhones, Apple Watches, and AirPods Pro hands-on: https://www.youtube.com/watch?v=idEAABFzpfg- Nothing ear(3) coming Sept 18: https://www.gsmarena.com/this_is_what_the_nothing_ear_3_looks_like-news-69458.php- Xiaomi 15T series coming Sept 24: https://www.gsmarena.com/xiaomi_15t_and_15t_pro_launch_date_is_official-news-69401.php- Samsung Galaxy Tab S11 series: https://www.gsmarena.com/samsung_galaxy_tab_s11_and_galaxy_tab_s11_ultra_debut-news-69338.php- Samsung Galaxy S25 FE: https://www.gsmarena.com/samsung_galaxy_s25_fe_announced_with_exynos_2400_soc_triple_rear_cameras-news-69335.php- Lenovo Legion Go 2: https://www.gsmarena.com/lenovo_legion_go_2_announced_with_up_to_amd_ryzen_z2_processor_74whr_battery-news-69380.php- Huawei Mate XTs tri-fold: https://www.gsmarena.com/huawei_mate_xts_announced_with_kirin_9020_and_updated_40mp_ultrawide_cam-news-69347.php- Vivo X300 series design teased: https://www.gsmarena.com/vivo_x300_series_camera_bump_compared_to_iphone_17_pro-news-69428.php- TCL NxtPaper 60 Ultra: https://www.gsmarena.com/tcl_nxtpaper_60_ultra_debuts_with_72_nxtpaper_40_display_stylus_support_and_a_50mp_telephoto_-news-69343.phpAffiliate Links (If you use these links to buy something, we might earn a commission)- Samsung Galaxy Tab S11 Ultra: https://amzn.to/4mcfWw9- Samsung Galaxy Tab S11: https://amzn.to/42t1iJV- Samsung Galaxy S25 FE: https://amzn.to/47JVv6q- Lenovo Legion Go S: https://amzn.to/46yiWyl- TCL NxtPaper 60 XE: https://amzn.to/4nromkd

In this episode of the Electropages Podcast, we explore how ARM is shaping the future of IoT, embedded systems, and edge AI. Learn how ARM's microcontrollers, processors, and AI accelerators are enabling faster, smarter, and more power-efficient devices across industries. Joining us is Paul Williamson, SVP and GM of IoT at ARM, who shares insights from the front lines of architecture innovation, developer ecosystem growth, and AI enablement at the edge. We cover: How ARM Cortex-M and Cortex-A cores are used in modern IoT devices Why developers choose ARM for embedded software and real-time systems How edge AI is transforming robotics, industrial automation, and consumer electronics The role of the ARM Ethos-U processor family in AI inference acceleration Why Python, embedded Linux, and microcontroller performance are changing how we build edge systems  Whether you're an embedded developer, hardware engineer, or working with AI at the edge, this conversation offers deep technical insight into one of the most important architectures in the world.

In this episode of Project Synapse, the team delves into a plethora of AI tools and technologies, rekindling their original playful approach to understanding AI's latest advancements. Marcel Gagner takes the lead, showcasing various tools like Google's Nano Banana, Gemini 2.5 Image Generator, and the emergent Genie 3, among others. The discussion highlights real-world physics, world models, and interactive environments. They also explore the use of voice cloning and digital twins with Heygen, and music generation with Suno. The episode emphasizes the importance of educating, monitoring, and involving oneself in AI technology, particularly for parents with children interacting with AI systems. 00:00 Introduction to Project Synapse 00:50 Meet Marcel Gagner 02:33 AI Tools and Subscriptions 08:38 Exploring Google's Gemini 10:43 Creating Custom Images and Videos 32:31 Storybook Creation with AI 41:12 The Importance of Monitoring Kids' AI Usage 41:51 Parental Involvement and AI Risks 45:50 AI and Music Generation Tools 49:45 Creating Personalized AI Content 54:01 Exploring Advanced AI Tools and Ethics 56:25 The Future of AI in Creative Fields 59:34 Interactive AI Worlds and Final Thoughts

On today's episode of LaunchPod AI, we're talking with Joel Polanco, Senior Hardware Product Manager at Intel's Edge Computing Group. He's led dozens of enterprise AI edge deployments and knows exactly what it takes to run AI models locally at scale. In this episode, we discuss: Why AI at the edge will cause a whole new wave of disruption across multiple industries Why moving AI to the edge slashes costs and levels up customer experience And real-world examples of edge AI deployments Joel has seen - from IT assistants to agents that restock store shelves from a single photo Links LinkedIn: https://www.linkedin.com/in/jpolanco/ Intel: https://www.intel.com/content/www/us/en/homepage.html Joel's PM articles on the LogRocket blog: https://blog.logrocket.com/author/joelpolanco/ Chapters 00:00 Introduction 03:32 Retail Applications of Edge AI 04:57 Cost and Implementation Considerations 06:18 Real-World Use Cases and Challenges 12:00 Future of AI and Edge Computing 30:42 Practical Advice for Product Executives 33:46 Conclusion Follow LaunchPod on YouTube We have a new YouTube page (https://www.youtube.com/@LaunchPodPodcast)! Watch full episodes of our interviews with PM leaders and subscribe! What does LogRocket do? LogRocket's Galileo AI watches user sessions for you and surfaces the technical and usability issues holding back your web and mobile apps. Understand where your users are struggling by trying it for free at LogRocket.com (https://logrocket.com/signup/?pdr). Special Guest: Joel Polanco.

Phil Seboa and Ed Fuentes sit down with Melvin Francis, a research-driven engineer and technical marketing leader at BE Services, for a packed conversation on the realities of real-time industrial automation, edge AI, and the technical leaps powering Industry 4.0. Melvin shares his hands-on journey from developing open-source real-time Ethernet protocols in India to driving innovation in Germany's advanced manufacturing sector.This episode covers the critical distinction between real-time performance and speed in OT environments, the impact of edge AI on traditional cloud models, and the emerging value of time-sensitive networking (TSN) for seamless integration of IT and OT data flows. Melvin offers firsthand anecdotes, technical clarity, and live walkthroughs—including a look at BE Services' AIoT edge solution—while discussing practical approaches for modernizing brownfield systems, achieving high-precision motion control, and bridging the skills gap in industrial digitalization. Perfect for engineers, automation leaders, and anyone seeking a practical perspective on the challenges and opportunities of modern industrial networks.Connect with Melvin on LinkedIn: https://www.linkedin.com/in/melvin-francis/Connect with Phil on LinkedIn:https://www.linkedin.com/in/phil-seboa/Connect with Ed on LinkedIn: https://www.linkedin.com/in/ed-fuentes-2046121a/About Industry Sage Media:Industry Sage Media is your backstage pass to industry experts and the conversations that are shaping the future of the manufacturing industry.Learn more at: http://www.industrysagemedia.com

In this cutting-edge episode, we explore how Edge AI is transforming drug discovery and revolutionising laboratory workflows, real-time molecular analysis, and protein folding predictions—all at the source of data collection. Joining us is Nuri Cankaya, Vice President of Commercial Marketing at Intel Corporation, and a renowned thought leader in AI and healthcare innovation.You'll discover how AI at the edge—enabled by on-device NPUs, GPUs, and CPUs—is unlocking privacy-preserving, high-performance computing in the most sensitive environments, such as clinical labs and pharmaceutical R&D centers. Nuri shares his deep experience in AI, discusses hardware configurations for edge deployments, and provides real-world examples of AI accelerating high-throughput screening, compound discovery, and target validation.Key Topics:What is Edge AI and how it differs from cloud-based AIHow real-time AI in the lab enables faster, cheaper drug discoveryHardware requirements: NPU, GPU, CPU integration for edge computingThe role of AlphaFold and protein folding prediction in therapeutic developmentUse cases in molecular screening, genomics, and clinical trial simulationsHow Edge AI preserves data privacy and complies with GDPR and HIPAAPredictions for AGI (Artificial General Intelligence) and Quantum Computing in healthcareStrategic advice for pharma leaders and biotech innovators looking to pilot AIThe energy efficiency and sustainability gains from Edge AI vs. cloud AIAbout the PodcastAI for Pharma Growth is a podcast focused on exploring how artificial intelligence can revolutionise healthcare by addressing disparities and creating equitable systems. Join us as we unpack groundbreaking technologies, real-world applications, and expert insights to inspire a healthier, more equitable future.This show brings together leading experts and changemakers to demystify AI and show how it's being used to transform healthcare. Whether you're in the medical field, technology sector, or just curious about AI's role in social good, this podcast offers valuable insights.AI For Pharma Growth is the podcast from pioneering Pharma Artificial Intelligence entrepreneur Dr. Andree Bates created to help organisations understand how the use of AI based technologies can easily save them time and grow their brands and business. This show blends deep experience in the sector with demystifying AI for all pharma people, from start up biotech right through to Big Pharma. In this podcast Dr Andree will teach you the tried and true secrets to building a pharma company using AI that anyone can use, at any budget. As the author of many peer-reviewed journals and having addressed over 500 industry conferences across the globe, Dr Andree Bates uses her obsession with all things AI and futuretech to help you to navigate through the, sometimes confusing but, magical world of AI powered tools to grow pharma businesses. This podcast features many experts who have developed powerful AI powered tools that are the secret behind some time saving and supercharged revenue generating business results. Those who share their stories and expertise show how AI can be applied to sales, marketing, production, social media, psychology, customer insights and so much more. Dr. Andree Bates LinkedIn | Facebook | Twitter

IoT isn't a buzzword anymore. It's business. Wienke Giezeman built The Things Industries from scratch. Now he's managing 3 million connected devices globally. $4M in annual revenue. And he did it by breaking every Silicon Valley rule. No "winner takes all" mentality. Pure collaboration. This episode cuts through the IoT hype cycle. Wienke reveals why most IoT projects failed. How his company survived when others didn't. And why sharing your IP actually grows the market. Real talk on scaling hardware. Building communities. Making AI work with IoT data. From cattle tracking to vape detection in school bathrooms. From forest fire sensors to toilet paper dispensers. The use cases that actually make money. Plus: Why the next wave of IoT growth is coming. And how startups can avoid the graveyard. Timestamps: 00:00 Introduction and Guest Welcome 00:13 Wienke Giezeman's Background and Company Overview 00:52 Early Days and Inspiration 01:34 Building a Global Network 02:08 Community and Collaboration 06:31 The Things Conference 09:22 Trends in IoT and AI Integration 15:12 Future Prospects and Reflections 25:10 Advice for IoT Startups 27:35 Conclusion and Final Thoughts Hit subscribe for more unfiltered tech insights. Rate us 5 stars if this episode delivered value. Connect with Wienke: https://www.linkedin.com/in/wienke/ The Things Network: https://www.thethingsnetwork.org/ The Things Industries: https://www.thethingsindustries.com/ The Things Conference: https://www.thethingsconference.com/ 23-24 September 2025, Amsterdam

STMicroelectronics is a Strategic Leader Sponsor of the Edge AI Foundation, a community of researchers, developers, business leaders, and policymakers committed to advance edge AI across sectors.

Sek Chai, CTO and cofounder of Latent AI, joins The Tech Trek to talk about what it actually takes to get AI running on the edge. We explore the real-world constraints of power, compute, and hardware diversity, why an agent-assisted workflow can accelerate MLOps, and how to choose models that are good enough to ship. Sek also breaks down lessons from selling into the federal market and explains why a clear guiding principle beats chasing every shiny opportunity.Key TakeawaysEdge AI is a different game than the cloud. Power limits, hardware diversity, and deployment realities have to shape the design from day one.The best model is the smallest one that delivers the capability and latency you need. Bigger isn't always better.An AI agent that understands your data, model, and hardware personas can move teams from idea to deployment much faster.Whether you're selling to federal or commercial buyers, lead with capability, then meet security and compliance needs.A strong tenet should guide product direction and market focus more than raw market size.Timestamped Highlights00:30 Why edge optimization matters and what Latent AI does01:09 The messy reality of heterogeneity and power constraints in edge deployments02:54 Why most edge AI projects never ship and how an agent can change that05:03 Mapping MLOps personas and tailoring the workflow for each11:49 Selling to both federal and commercial buyers without losing focus15:55 Building a company around a tenet rather than chasing every marketQuote of the Episode“It's not the model that you're really chasing after. It's that capability.”Pro TipsDefine capability and constraints first—latency, frame rate, and power budget—then pick and optimize the model.Collect and use telemetry from experiments and deployments to guide model and hardware choices.If federal markets are in play, bake security and compliance into your early prototypes.Call to ActionEnjoyed this episode? Follow The Tech Trek, rate us on Apple or Spotify, and share it with someone working on an edge AI project.

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We put Microsoft's AI-powered browser to the test and discover if it truly changes the way we navigate the web. Our findings reveal what's impressive, what's lacking, and what's next.Try AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle/about

This discussion focuses on Microsoft Edge's new AI capabilities. This could be a turning point in how we interact with the internet.Try AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle/about

Live hands on use cases I found testing out the new Microsoft Edge AI Browser.Try AI Box: https://aibox.ai

What if the biggest challenge in AI isn't how fast chips can compute, but how quickly data can move? In this episode of Eye on AI, Nandan Nayampally, Chief Commercial Officer at Baya Systems, shares how the next era of computing is being shaped by smarter architecture, not just raw processing power. With experience leading teams at ARM, Amazon Alexa, and BrainChip, Nandan brings a rare perspective on how modern chip design is evolving. We dive into the world of chiplets, network-on-chip (NoC) technology, silicon photonics, and neuromorphic computing. Nandan explains why the traditional path of scaling transistors is no longer enough, and how Baya Systems is solving the real bottlenecks in AI hardware through efficient data movement and modular design. From punch cards to AGI, this conversation maps the full arc of computing innovation. If you want to understand how to build hardware for the future of AI, this episode is a must-listen. Subscribe to Eye on AI for more conversations on the future of artificial intelligence and system design. Stay Updated: Craig Smith on X:https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI (00:00) Why AI's Bottleneck Is Data Movement (01:26) Nandan's Background and Semiconductor Career (03:06) What Baya Systems Does: Network-on-Chip + Software (08:40) A Brief History of Computing: From Punch Cards to AGI (11:47) Silicon Photonics and the Evolution of Data Transfer (20:04) How Baya Is Solving Real AI Hardware Challenges (22:13) Understanding CPUs, GPUs, and NPUs in AI Workloads (24:09) Building Efficient Chips: Cost, Speed, and Customization (27:17) Performance, Power, and Area (PPA) in Chip Design (30:55) Partnering to Build Next-Gen Photonic and Copper Systems (32:29) Why Moore's Law Has Slowed and What Comes Next (34:49) Wafer-Scale vs Traditional Die: Where Baya Fits In (36:10) Chiplet Stacking and Composability Explained (39:44) The Future of On-Chip Networking (41:10) Neuromorphic Computing: Energy-Efficient AI (43:02) Edge AI, Small Models, and Structured State Spaces

In questa puntata del #podcast #latetechshow

AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support.     How AI Is Transforming the Physical World | Samsara's Vision for the Future of Operations   In this episode of Eye on AI, Craig Smith sits down with Kiren Sekar, Chief Product Officer at Samsara, to explore how AI, edge computing, and IoT are revolutionizing the world of physical operations - from fleets and factories to farms and field teams.   Samsara has quietly become the digital backbone for thousands of frontline businesses, collecting trillions of data points across vehicles, tools, and teams. Kiren explains how they're building AI-powered systems that don't just collect data, they deliver real-time safety alerts, optimize routes, track fuel efficiency, and even coach drivers automatically.   Whether you work in tech, operations, or AI, this episode shows how AI is finally meeting the real world.   Check our Samsara, AI Build for Physical Operations: https://www.samsara.com/   Stay Updated: Craig Smith on X:https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI (00:00) Preview (02:01) Kiren Sekar's Background and Why Samsara Was Founded (06:38) The Real-World Impact of Samsara's AI Systems (09:04) What Changed After Samsara Went Public (11:09) How Samsara Gives Businesses Visibility Into Operations (13:08) The Hardware and Cellular Network Powering Samsara (14:13) AI to Detect Driving Risks (23:13) Tracking Every Asset: From Cranes to Toolkits (25:20) Why Even Mid-Sized Companies Can Use Samsara Easily (27:25) Regional Dashboards and AI Insights for Executives (29:57) How Samsara Decides Where to Apply AI (32:54) Can AI Read Handwritten Forms? (35:31) The AI Models Samsara Uses (39:21) What Samsara Processes at the Edge vs in the Cloud (43:00) Why Samsara Keeps Its R&D Team Small and Fast (46:35) Why Legacy Industries Are Finally Adopting AI (49:12) What Agentic AI Workflows Look Like at Samsara (54:53) What's Next: AI Voice Assistants for Field Worker  

Join Nataraj as he interviews Rish, the co-founder and CEO of Greyparrot, a company leveraging AI to revolutionize the recycling industry. Rish shares his journey from augmented reality to AI-powered waste management, detailing the challenges and opportunities in this space. Discover how Greyparrot's innovative technology brings transparency and efficiency to recycling, impacting the circular economy and creating a more sustainable future. Learn how AI can transform waste into a valuable resource.What you'll learnUnderstand how AI-powered waste analytics are bringing transparency and efficiency to the recycling industry.Discover the challenges and opportunities in building AI solutions for large-scale waste management.Learn how Greyparrot is using computer vision to analyze and sort waste more effectively than traditional methods.Explore the impact of AI technologies on promoting and advancing the circular economy on a global scale.Gain insights into the architectural and structural issues specific to deploying AI in the waste management sector.Discover how strategic partnerships can help scale a business in the waste management and recycling industry.Understand the roles of manufacturers, governments, waste management, and consumers in creating a circular economy.About the Guest and Host:Rish: Co-founder and CEO of Greyparrot, using AI-powered waste analytics to revolutionize the recycling industry.Connect with Rish:→ LinkedIn: https://www.linkedin.com/in/ambarishmitra/→ Website: https://www.greyparrot.ai/Nataraj: Host of the Startup Project podcast, Senior PM at Azure & Investor.→ LinkedIn: https://www.linkedin.com/in/natarajsindam/→ Substack: ⁠https://startupproject.substack.com/⁠In this episode, we cover(00:00) Introduction and Guest Introduction(00:49) The Origin Story of Greyparrot and its mission(02:23) From Visual Search to Waste Intelligence: The Pivotal Moment(04:58) Defining Greyparrot as a Material Asset Recovery Company(05:15) How Greyparrot's Analyzers Optimize Waste Sorting at Material Recovery Facilities (MRFs)(07:44) Integrating AI Brains into Mechanical Waste Management Plants(09:28) Architectural Challenges of Deploying AI in Waste Management(12:46) Building a Scalable AI Solution for Diverse Waste Management Plants(15:39) Deep Dive into Processing Images and Data Locally with On-Camera Computing(20:02) Brands leveraging waste data for packaging R&D and sustainability(21:52) Customer Acquisition strategies(28:07) Scale of business(30:01) Contrasting Waste Management in Developed vs. Developing Economies(35:13) China's role in global waste management(37:03) Diverting waste streams(39:57) The key components responsible for circular economyDon't forget to subscribe and leave us a review/comment on YouTube Apple Spotify or wherever you listen to podcasts.#StartupProject #GreyParrot #AI #WasteManagement #Recycling #CircularEconomy #Sustainability #Innovation #DeepLearning #ComputerVision #MaterialRecovery #Tech #Environment #Podcast #Entrepreneurship #Startup #RecyclingTech #WasteAnalytics #AIforGood #GreenTech

This week on Cloud Unplugged: AI goes local, Google Cloud breaks the internet, and the DOJ turns up the heat on Google's $32B Wiz acquisition.We're breaking down the biggest stories in cloud and AI:Context & Qualcomm are teaming up to move AI agents off the cloud and onto your device. What does this mean for the future of local-first AI?A major Google Cloud outage caused chaos across Cloudflare, Shopify, and Discord. We explain what went wrong and what it tells us about the risks of centralised cloud infrastructure.The DOJ is investigating Google's acquisition of Wiz, raising questions about cloud security competition and antitrust concerns.Plus: Andrej Karpathy's Software 3.0 vision, is natural language the new programming interface?Hosted by Lewis and Jon, two cloud-native veterans covering the real stories behind the hype in cloud, AI, and dev infrastructure.

In our latest Electronic Specifier Insights podcast, Managing Editor Paige West speaks with Hussein Osman, Marketing Director, Lattice Semiconductor,  all about optimising Edge AI with low-power FPGAs.

Edge AI is evolving fast - but how do we accelerate the path from development to deployment, and get real products into users' hands sooner? Welcome to the Edge of Tomorrow - The Edge AI Debate, our brand new spin off series on The IoT Podcast in collaboration with the ‪ @edgeaifoundation  bringing together the leading minds in Edge AI for debates and discussions on the biggest challenges, opportunities, and emerging trends shaping the future of Edge AI. In this episode, host Pete Bernard (CEO, EDGE AI FOUNDATION) sits down with Rajesh Subramaniam (Founder & CEO at EmbedUR Systems) and Reza Kazerounian (Founder & President at Alif Semiconductor) to tackle one of the most pressing questions in the space:How do we accelerate getting Edge AI products to users - and close the gap between innovation and deployment? From chip design to software pipelines, product cycles to killer apps, this episode dives deep into the real-world friction between building cutting-edge Edge AI and actually commercialising it. Expect thoughts on...

June 24, 2025 - Assemblymember Alex Bores, a Manhattan Democrat, discusses his legislation putting guardrails on cutting-edge artificial intelligence research and explains how the measure was curtailed during the amendment process. He also talks about unfinished business from the legislative session, weighs in on the movie Mountainhead, and considers the status of Empire AI.

Join Can Gurel as he hosts Harry Dewhirst, co-founder and CEO of 375ai, to discuss their ambitious real-world application of DePIN. Learn how they're building a decentralized network of sensors to capture and monetize physical data at scale.375ai: https://www.375.ai/

Meta is going straight superintelligent? OpenAI and Google are teaming up? And Microsoft might kill tutorials? The big AI dogs are at it again, making some head-turning moves in the AI space. Don't get left behind. Join us on Mondays for our AI News That Matters segment. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Have a question? Join the convo here.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:OpenAI & Google Cloud PartnershipMeta's $14B AI Superintelligence BetDisney & Universal vs. Midjourney LawsuitApple's AI Translation Across DevicesOpenAI Expands GPT Projects & FeaturesMicrosoft Updates Copilot Vision ToolsAmazon's AI Video Tool for SellersMeta AI App Privacy ControversyTimestamps:00:00 AI Insights: This Week's Headlines04:28 ChatGPT Project Features Update08:42 AI Wednesdays: Updates and Insights11:57 Meta's $14B Superintelligence Investment15:24 Meta's Acquisition of Scale AI17:31 OpenAI Partners with Google Cloud22:41 Apple Translation Integration Delayed26:00 Third-Party AI to Improve Siri30:43 Microsoft Copilot's Quiet Feature Updates33:40 Amazon Enhances AI for Ads37:34 Copyright Lawsuit: Midjourney vs. Studios41:43 OpenAI O3 Pro: Accuracy Over Speed45:54 AI News & Events Week PreviewKeywords:OpenAI, Google Cloud, Meta, superintelligence, Scale AI, $14 billion investment, artificial superintelligence, Midjourney, Disney lawsuit, Universal lawsuit, AI copyright issues, Microsoft Copilot Vision, Copilot AI updates, real-time AI assistance, AI-powered video generator, Amazon video tools, chat GPT projects, GPTs, AI compute, Tensor Processing Units, regulatory scrutiny, AI market competition, OpenAI revenue, O3 Pro model, ChatGPT Pro, AI reasoning models, voice mode, Apple WWDC, AI translation, Edge AI, cloud infrastructure, Meta AI assistant, Apple AI struggles, Siri upgrade, AI legal battle, OpenAI and Google partnership, Meta's AI investment, $10 billion annual revenue, personal data privacy, Meta privacy concerns, AI model updates.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Try Google Veo 3 today! Sign up at gemini.google to get started. Try Google Veo 3 today! Sign up at gemini.google to get started.

"We're not just enabling secure outcomes — we're simplifying how partners deliver them." — Brian Feeney, VP of Global Partner Security Sales, Cisco At Cisco Live 2025 in San Diego, Technology Reseller News publisher Doug Green sat down with Brian Feeney, Vice President of Global Partner Security Sales at Cisco, to explore how the company is aligning security innovation with real-world partner needs in an era dominated by AI and complexity. Feeney, whose two-year-old role was created to consolidate and scale Cisco's global partner strategy for security, leads a team of over 260 professionals dedicated to helping Cisco's VARs, MSPs, MSSPs, cloud providers, and global partners navigate a rapidly evolving cybersecurity landscape. Cisco's Three-Pillar Security Strategy: Hybrid Mesh Firewall Universal ZTNA (Zero Trust Network Access) The SOC of the Future (with Splunk Integration) All three areas are now AI-infused by design, not bolted on — a shift exemplified by Cisco's autonomous firewall assistant, which reduces human effort while improving policy execution. Key Cisco Live Announcements: Free Splunk ingestion for Cisco firewall customers, addressing cost concerns and earning applause during the keynote. Streamlined portfolio: Cisco has consolidated 30+ point products into 3 strategic solution sets — user, breach, and cloud — dramatically simplifying the sales and adoption process for partners. Enhanced partner support tools like a “concierge deal registration desk” — offering one-click access to technical, sales, and promotional resources. “This isn't about selling more SKUs,” Feeney said. “It's about helping partners win with less complexity, more margin, and stronger customer outcomes.” Feeney emphasized Cisco's commitment to AI enablement, noting that while only 4% of enterprises are “AI-ready,” partner demand for both securing AI infrastructure and leveraging AI for defense is surging. Cisco is delivering: Expert-led deep dives for top AI-focused partners Scalable enablement through Talos threat intel, learning platforms, and continuous updates AI integrated throughout the security stack — from SOC automation to endpoint visibility The interview concluded with Feeney highlighting Cisco's investment in making security more accessible, operationally efficient, and partner-friendly, even for small or emerging partners. “We want to be the voice and the resource our security partners trust — not just with technology, but with outcomes.” To learn more, visit cisco.com/security.

In EVN Report's news roundup for the week of June 13: Armenia condemns attack on Iran, urges calm; a $500 million public-private partnership to build cutting-edge AI infrastructure in Armenia is unveiled by Firebird, the Armenian Government and NVIDIA; gas explosion in Gegharkunik kills five, injures over a dozen and more.

Dan is joined by Moshe Sheier, Ceva's vice president of marketing. Moshe brings with him more than 20 years of experience in the semiconductor IP and chip industries in both development and managerial roles. Prior to this position, Mr. Sheier was the director of strategic marketing at Ceva. Dan explores the history of Ceva with … Read More

Welcome and Introduction- Will Townsend welcomes Shahid Ahmed, who leads NTT DATA's private 5G initiatives- Discussion of Shahid's role in New Ventures and Innovation at NTT DATAPrivate 5G Momentum in 2025- Identification of 2025 as a pivotal year for private cellular and 5G adoption- Three major forces driving demand: device availability, spectrum allocation, and improved economicsDevice Ecosystem Development- Progress in natively supported 5G devices for enterprises- Impact on deployment timelines and customer readinessSpectrum Availability Challenges- Regulatory hurdles in spectrum allocation across different geographies- Recent improvements in spectrum accessibility for enterprisesEconomics of Private 5G- Shift towards "Wi-Fi economics" for private 5G deployments- Cost comparisons between Wi-Fi and 5G implementations in large-scale environmentsEdge AI and Agentic AI in 5G Networks- Distinction between Edge AI and large language models- Applications of Edge AI in manufacturing and autonomous systems- Role of Agentic AI in business process workflowsFactory of the Future Concept- NTT DATA's focus on enabling advanced manufacturing environments- Integration of robotics, automation, and connectivity in dark factoriesConvergence of Wireless Technologies- Emerging integration of 5G and Wi-Fi on single radio platforms- Implications for seamless connectivity in various settingsSecurity Challenges in Network Transformation- Increased security concerns with automation and IP network integration- Ongoing nature of security challenges in modernized infrastructuresNTT DATA's Comprehensive Service Offerings- NTT DATA's position as a major data center service provider- Private 5G as an entry point for broader network architecture transformationPartnership Highlights- Collaboration with Cisco, including ESIM integration in Meraki and Catalyst products- Simplification of device provisioning and configuration processes

Wondering how AI can fix what's broken in the renovation process? In this episode of The Dickie & Donny Show, BOP Business Coaches Shawn “Dickie” Stinson and Brandon “Donny” Gray talk with Melissa Wood, Founder and CEO of FORMUS, about how AI is being used to solve real-world construction headaches. From streamlining pre-construction planning to cutting out non-productive tasks, Melissa shares how her platform—and its AI agent named SADIE—is bringing clarity, speed, and trust back to renovation projects. Listen now to see how modern tech is reshaping old-school construction—for good and on purpose. CONTACT INFO: Melissa Wood, Founder | CEO, FORMUS WEBSITE: formus.ai EMAIL: mwood@formus.ai INSTAGRAM: formus.ai Are you working IN your business or ON your business? Do you have all of the foundational elements that will liberate you from the business chaos? Take the assessment to find out which areas you can grow and improve on. Take our Healthy Owner Business Assessment HERE➡️ http://mybusinessonpurpose.com/healthy SIGN UP for our Newsletter HERE ➡️ https://www.boproadmap.com/newsletter For blogs and updates, visit our site HERE ➡️ https://www.mybusinessonpurpose.com/blog/ LISTEN to the Business On Purpose Podcast HERE ➡️ https://podcasts.apple.com/us/podcast/my-business-on-purpose/id969222210 SUBSCRIBE to our YouTube channel HERE ➡️ https://www.youtube.com/channel/UCbPR8lTHY0ay4c0iqncOztg?sub_confirmation=1

Google just dropped like 3 years of AI updates on us in 3 hours.

Are you a CIO, CTO, CISO, or IT decision maker in the restaurant or retail industry, grappling with rising costs and tariffs to keep up with the rapid pace of technological change? The pressure to create high-quality solutions with AI while managing existing infrastructure can be challenging.In this episode of the Tech Transformed Podcast, Shubhangi Dua, podcast host and producer at EM360Tech sits down with Keith Szot, SVP Chief Evangelist at Esper, to talk about how enterprises can extend the lifespan of their current edge devices. They also discuss how such enterprises can easily integrate Edge AI solutions without a complete hardware overhaul."Starting out with IT Ops is a tough endeavor. If you are running revenue producing key business operating systems that are out in the field, it's not an easy job,” stated Szot. “With everything that's going on these days, it's not getting any easier. Now, considering tariffs, the impact of AI in terms of how you look at your hardware refresh cycle, it's really tough.”‘Android is the key'Specifically alluding to edge devices in restaurant and retail, Szot reflecting on the limitations of traditional operating systems says Android is the key. "If you look at the ISV and the solution provider community, the best and latest solutions for these markets are built on Android.”“You look at enterprise developers, if you're developing in-house, arguably it's a lot easier to find an Android developer and build a team to focus on creating Android applications than it is in Windows,” he added. “Android is the biggest developer ecosystem in the world in the history of humankind.Unlike operating systems tied to rapid consumer hardware upgrades, Android offers the flexibility of an open-source project. It allows for greater control over updates and longevity. Szot believes that the Android UX is more intuitive. He says that people use phones all the time. “And even if you're an iOS user, the paradigm, if you go to Android, still has a familiarity where the bar to understand how to use the software in the device arguably is lower." This minimises training needs and improves operational efficiency.In a nutshell, the conversation touches on extending hardware lifecycles for edge devices in the restaurant and retail industry, primarily through the Android flip, to enable the integration of AI at the edge and prepare for future trends like robotics and 5G.Key Takeaways Extending hardware lifecycles is crucial for cost management.Android is becoming the preferred OS for enterprise solutions.AI can enhance customer experiences in retail environments.Robust hardware design is essential for longevity.Transitioning from Windows to Android can save costs.Edge AI allows for on-premise processing without latency issues.Physical AI will revolutionize the retail and restaurant sectors.Quantum computing poses both opportunities and challenges for security.Device management is key to maintaining operational efficiency.Innovative hardware designs will create new customer experiences.Chapters00:00 Introduction to Edge Devices and AI03:12 Extending Hardware Lifecycles in Retail06:06 Transitioning from Windows to Android08:56 Practical Applications of Edge AI11:47 AI Integration in Restaurant Kiosks14:55 Managing Existing Hardware with Software Solutions18:01 The

“Edge AI is the ultimate and probably only scalable way to do AI in the real world—collecting, analyzing, and acting on data where it lives” says Evgeni Gousev, Chair of the Edge AI Foundation and Senior Director at Qualcomm. In this episode he talks about the transformative power of edge AI and why it's becoming a strategic priority for businesses across industries. Furthermore, he shares use cases that are already delivering measurable impact and addresses the challenges of deploying edge AI at scale.  

Patrick Cronin of University of Limerick spin-out Oscil, was presented with the Big Ideas Award at Enterprise Ireland's Start-Up Day 2025 in the Aviva Stadium. Oscil was one of six investor-ready potential spin-outs that had three minutes to pitch their new technology solutions to a 600 strong audience made up of representatives from the Irish Start-up ecosystem including VCs and other funders, State support agencies & professional and financial services. The award was presented to Patrick Cronin, for the outstanding pitch of the day. Oscil which is an Enterprise Ireland commercialisation funded project approaching spin-out, is an innovative deep tech technology operating at the intersection of Edge-AI and powder processing, initially targeting the pharmaceutical and dairy sectors. They haves developed a proprietary, ATEX-compliant sensor and edge-AI solution that enables real-time, in-line analysis of powder flow - addressing critical issues like sensor fouling, yield loss, and process downtime. As part of the Big Ideas award, Oscil will travel to the US to participate in UC Berkeley's Venture Connectivity Program. Tara Dalton of University of Limerick spin-out TANGO received the Big Ideas runner-up award on the day. Start-Up Day 2025 hosted the 'Class of 2024' High Potential Start-Up companies that Enterprise Ireland invested in during 2024. The event also played host to technology-based companies with origins deep rooted in groundbreaking research. In 2024, 34 companies were supported through the Enterprise Ireland Commercialisation Fund Programme with 25 companies spun out of third level institutions. Presenting the award, Michael Carey, Chairman, Enterprise Ireland said, "The Big Ideas pitching element and awards at Start-Up Day provides a platform to showcase Enterprise Ireland's commercialisation funded research approaching start-up status, with significant potential for success. The event also highlights the accomplishments of our national technology transfer system, the high calibre of research commercialisation activity within Ireland, and the significant impact these companies will have to help solve huge global challenges. I wish to congratulate both Oscil and TANGO on their achievements to date and wish them every success for the future." See more stories here. More about Irish Tech News Irish Tech News are Ireland's No. 1 Online Tech Publication and often Ireland's No.1 Tech Podcast too. You can find hundreds of fantastic previous episodes and subscribe using whatever platform you like via our Anchor.fm page here: https://anchor.fm/irish-tech-news If you'd like to be featured in an upcoming Podcast email us at Simon@IrishTechNews.ie now to discuss. Irish Tech News have a range of services available to help promote your business. Why not drop us a line at Info@IrishTechNews.ie now to find out more about how we can help you reach our audience. You can also find and follow us on Twitter, LinkedIn, Facebook, Instagram, TikTok and Snapchat.

CeADAR, Ireland's Centre for AI, and quantum computing (QC) company Equal1 are combining their expertise to help give Ireland a competitive edge in the evolving world of AI-QC platforms. This week, they signed a memorandum of understanding (MOU) to work together on the establishment of a national Edge AI and Quantum Computing testbed to enable Ireland to develop and deploy AI-QC platforms and services. The collaboration aims to promote the importance of AI and QC in Ireland and Europe for matters of strategic importance, global competitiveness, and technical research and innovation. Quantum Computing has the potential to solve complex problems that are beyond the abilities of traditional computers, but its development has presented challenges over issues including scalability and cost. However, Equal1 announced last month that it had built Bell-1 - Ireland's first quantum computer - using a silicon-based quantum server that eliminates cost and complexity barriers to the adoption of quantum computing. The company said Bell-1 marks the beginning of Quantum Computing 2.0 - the shift from experimental machines in research facilities to practical quantum solutions that businesses can harness to solve complex problems in far less time than traditional computing. As well as creating the AI-QC infrastructure needed to underpin the development of advanced technology platforms, CeADAR and Equal1 will jointly develop funded RDI proposals to progress the national Quantum-AI ecosystem. Quantum-AI is expected to lead to the development of new AI models that will have a transformative impact on multiple business sectors. CeADAR's CEO, Dr John Lonsdale said: "CeADAR's remit is to work with Irish businesses to help them understand and leverage the benefits of AI and machine learning. The fusion of AI and Quantum Computing will lead to transformative change across multiple sectors, and it is our mission to ensure that Irish businesses are well positioned to understand and adapt to the changes that are coming our way. By collaborating with Equal1, CeADAR will be able to create a framework and ecosystem for the development and adoption of Quantum AI." Equal1's CEO, Jason Lynch said: "Equal1 is excited to further strengthen our collaboration with CeADAR - we believe this partnership will position Ireland at the forefront of the intersection between Quantum and AI. By working closely with CeADAR, we aim to create a platform that makes quantum computing accessible for Irish businesses and researchers as they explore the potential of Quantum Computing and AI to have a transformative impact across a range of application use cases and industry sectors." See more stories here. More about Irish Tech News Irish Tech News are Ireland's No. 1 Online Tech Publication and often Ireland's No.1 Tech Podcast too. You can find hundreds of fantastic previous episodes and subscribe using whatever platform you like via our Anchor.fm page here: https://anchor.fm/irish-tech-news If you'd like to be featured in an upcoming Podcast email us at Simon@IrishTechNews.ie now to discuss. Irish Tech News have a range of services available to help promote your business. Why not drop us a line at Info@IrishTechNews.ie now to find out more about how we can help you reach our audience. You can also find and follow us on Twitter, LinkedIn, Facebook, Instagram, TikTok and Snapchat.

Send us a textWelcome to IoT Coffee Talk #246 where we have a chat about all things #IoT over a cup of coffee or two with some of the industry's leading business minds, thought leaders and technologists in a totally unscripted, organic format. Thanks for joining us. Sit back with a cup of Joe and enjoy the morning banter.This week, Pete, Tom, David, Bill, Debbie, Rob, and Leonard jump on Web3 to talk about:THE WORST KARAOKE! "Anyway You Want It", JourneyAI fatigue - Too much DeepSeek nonsense!All Chinese tech denial leads to a whining road to D.C.The great AI hypocrisyHow to build LLMs and 1.5 trillion parameter MoEs out of coconutsThe Week of DeepSeek - Dazed and ConfusedThe red AI pill or the blue AI pill - utopia or dystopia?The 3 Laws of Edge AIWhat does safe, reliable, trustworthy Edge AI look like?How to make your content LLM copyright protected - 80 percent nonsense ruleWhy IoT Coffee Talk doesn't fit in the attention span of 99.999 percent of humanityIt's a great episode. Grab an extraordinarily expensive latte at your local coffee shop and check out the whole thing. You will get all you need to survive another week in the world of IoT and greater tech!Thanks for listening to us! Watch episodes at http://iotcoffeetalk.com/. We support Elevate Our Kids to bridge the digital divide by bringing K-12 computing devices and connectivity to support kids' education in under-resourced communities. Please donate.

Is Perplexity going after..... Siri? Talk about a hard pivot. OpenAI and Google are racing for users.... who's winning? And will the U.S.'s effort on AI in education be too little, too late? We'll answer those questions and a ton more on our weekly news roundup show. Don't spend hours a day trying to keep up. Just join us (most) Mondays. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:OpenAI Launches Lightweight Deep Research ToolDOJ Pushes Google Chrome BreakupMicrosoft 365 Copilot Spring 2025 UpdateAdobe Firefly Supports Google, OpenAI ModelsMyPillow CEO's AI-Generated Legal TroubleOpenAI's Image Gen API for DevelopersU.S. President Signs AI Education OrderPerplexity AI Challenges Siri with Voice AssistantTimestamps:00:00 AI in Education, Adobe Partnerships05:52 "Premier Deep Research Tools: OpenAI & Google"07:35 DOJ Proposes Google Chrome Sale13:42 Adobe Expands AI Image Tools17:08 AI Missteps: Lindell's Legal Trouble18:43 Lindell's Legal AI Misstep22:25 OpenAI ImageGen API Overview28:27 AI Literacy Initiative Praised31:29 Microsoft Launches Controversial Recall Feature32:32 Improved Microsoft Search Enhancement Secured38:30 "Perplexity: Contextual AI Assistant Edge"41:22 "Perplexity's Crucial Pivot Needed"43:18 OpenAI's New Reasoning Language Model46:43 AI Usage Surges Amid OpenAI Speculation50:54 Tech Updates: AI Expansions & Legal IssuesKeywords:OpenAI, Lightweight deep research tool, chat GPT, Free users, Paid users, Deep research queries, O four mini model, Google, Gemini 2.5, Perplexity, Deep research, Adobe, Firefly AI, Competitors, Image generation, Microsoft, Copilot, AI features, MyPillow, Legal citations, AI-generated court filings, ImageGen, API access, Creative work, US president Trump, Executive order, AI education, Microsoft 365, Recall feature, Copilot plus PCs, Perplexity AI, Voice assistant, Siri competitor, Open reasoning language model, Llama, Open weights, Meta, Text in/text out, DeepSeek, AI safety, Sam Altman, Edge AI, Multimodal models.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

Send us a textStep into the future of hearing technology as Dave Fabry and Holly Schissel unveil Starkey's groundbreaking Edge AI platform and accessories that are revolutionizing the hearing experience. This fascinating deep dive showcases how cutting-edge innovation is removing barriers for people with hearing loss in ways previously unimaginable.At the heart of this conversation is Starkey's Deep Neural Network technology, delivering up to 13dB improvement in signal-to-noise ratio while maintaining all-day battery life—essentially turning a noisy restaurant into a comfortable listening environment. The duo explores their newest accessories: the Table Microphone with its sophisticated multi-array system for group settings, and the Remote Microphone+ that doubles as a hearing aid controller, eliminating the need for multiple devices.Perhaps most exciting is the discussion around Auracast technology, the future of wireless audio connectivity. Imagine receiving airport announcements, museum audio tours, or television audio directly through your hearing aids without additional equipment. This Bluetooth-on-steroids technology will transform accessibility in public spaces, not just for hearing aid users but anyone using compatible devices.The conversation highlights Starkey's philosophy of fitting both the hearing loss and the lifestyle—recognizing that even the best hearing aids sometimes need accessories for optimal performance in challenging environments. With Edge Mode Automatic, users can engage enhanced settings for difficult listening situations that automatically adjust as environments change, providing a seamless, intuitive experience.Ready to experience hearing technology that adapts to your life instead of the other way around? Discover how these innovations can transform connections to loved ones, workplace environments, and everyday experiences with unprecedented clarity and convenience. Connect with the Hearing Matters Podcast TeamEmail: hearingmatterspodcast@gmail.com Instagram: @hearing_matters_podcast Twitter: @hearing_mattasFacebook: Hearing Matters Podcast

As the use of AI spreads outside the cloud and datacenter, data management and protection has never been more important. This episode of Utilizing Tech, sponsored by Solidigm, features Rick Vanover of Veeam discussing the importance of data protection with hosts Stephen Foskett⁠⁠ and Scott Shadley⁠. Data protection for backup and security is familiar in the datacenter but is not always considered at the edge. But as AI and sensors push data to the edge, we have to consider how to protect and manage it. Edge AI systems combine elements of endpoint, datacenter, and cloud technologies and often have limited or intermittent connectivity, creating a differentiated platform that challenges data protection software. Mixing these capabilities to build a useful platform is the key challenge for data protection at the edge. Data protection at the edge is different, with continuity and recovery from outages and attacks more important than long-term preservation of data, and IT pros are beginning to adjust their perspectives on the requirements for these systems as well.Guest:⁠Rick Vanover⁠, Vice President of Product Strategy at ⁠Veeam⁠Hosts: ⁠⁠Stephen Foskett⁠⁠, President of the Tech Field Day Business Unit and Organizer of the ⁠Tech Field Day Event Series⁠⁠⁠Scott Shadley⁠⁠, Leadership Narrative Director and Evangelist at ⁠Solidigm⁠Follow Tech Field Day ⁠⁠on LinkedIn⁠⁠, ⁠⁠on X/Twitter,⁠⁠ ⁠⁠on Bluesky⁠⁠, and ⁠⁠on Mastodon⁠⁠. Visit the ⁠⁠Tech Field Day website⁠⁠ for more information on upcoming events. For more episodes of Utilizing Tech, head to ⁠⁠the dedicated website⁠⁠ and follow the show ⁠⁠on X/Twitter⁠⁠, ⁠⁠on Bluesky⁠⁠, and ⁠⁠on Mastodon⁠⁠.

April 3, 2025 - Assemblymember Alex Bores has proposed safeguards on the most cutting edge developments of artificial intelligence technology, but the tech industry is pushing back on this type of government regulations. We hear some of those concerns from Todd O'Boyle, vice president of technology policy at the Chamber of Progress.

OpenMV has a new Kickstarter so CEO Kwabena Agyeman chatted with us about more powerful (and smaller!) programmable cameras.  See OpenMV's site for their existing cameras. See their (already funded!) kickstarter page for the super powerful N6 and the ridiculously small AE3. Note that OpenMV still is committed to open source. See their github if you want to know more. Edge AI is the idea of putting intelligence in the devices (instead of in the cloud). There is an advocacy and education foundation called Edge AI Foundation. This organization was formerly the TinyML Foundation. Edge Impulse and Roboflow are companies that aid in creating and training AI models that can be put on devices.  ARM talks about their Ethos-U55 NPU (and how to write software for it). Transcript

In this episode we sit down with Alex Hawkinson, the visionary founder of SmartThings and CEO of Bright AI. Alex takes us on a journey from revolutionizing home automation to tackling the world's most outdated infrastructure. Discover how AI, IoT, and real-time automation are transforming our cities, utilities, and industries, and why blue-collar workers are the biggest beneficiaries of this technological revolution.Learn how Bright AI is turning outdated systems into intelligent networks that save money, protect the environment, and improve lives.If you're passionate about the future of technology and its potential to solve real-world problems, this episode is a must-listen.What You'll Discover in This Episode:From Smart Homes to Smart Cities: How Alex Hawkinson's experience with SmartThings laid the groundwork for Bright AI.The Problem with Aging Infrastructure: Why our water, energy, and other critical systems are in dire need of modernization.The Power of Physical AI: How IoT, AI, and real-time automation are revolutionizing infrastructure.Autonomous Inspection and Maintenance: How robots and AI are inspecting and repairing pipelines and other critical systems.Augmenting Human Workers: How wearables and AI co-pilots are empowering blue-collar workers.The Economic and Environmental Impact: How these technologies are driving productivity, efficiency, and sustainability.The Future of Infrastructure: How Bright AI's platform is enabling the creation of a "physical graph" of intelligent systems.The Potential of Edge AI and Sensors: How devices can learn and adapt to their environments, leading to new and unexpected use cases.

The modular data center industry is undergoing a seismic shift in the age of AI, and few are as deeply embedded in this transformation as Andrew Lindsey, Co-Founder and CEO of Flexnode. In a recent episode of the Data Center Frontier Show podcast, Lindsey joined DCF Editor-in-Chief Matt Vincent and Senior Editor David Chernicoff to discuss the evolution of modular and edge data centers, the growing demand for high-density liquid-cooled solutions, and the industry factors driving this momentum. A Background Rooted in Innovation Lindsey's career has been defined by the intersection of technology and the built environment. Prior to launching Flexnode, he worked at Alpha Corporation, a top 100 engineering and construction management firm founded by his father in 1979. His early career involved spearheading technology adoption within the firm, with a focus on high-security infrastructure for both government and private clients. Recognizing a massive opportunity in the data center space, Lindsey saw a need for an innovative approach to infrastructure deployment. "The construction industry is relatively uninnovative," he explained, citing a McKinsey study that ranked construction as the second least-digitized industry—just above fishing and wildlife, which remains deliberately undigitized. Given the billions of square feet of data center infrastructure required in a relatively short timeframe, Lindsey set out to streamline and modernize the process. Founded four years ago, Flexnode delivers modular data centers with a fully integrated approach, handling everything from site selection to design, engineering, manufacturing, deployment, operations, and even end-of-life decommissioning. Their core mission is to provide an "easy button" for high-density computing solutions, including cloud and dedicated GPU infrastructure, allowing faster and more efficient deployment of modular data centers. The Rising Momentum for Modular Data Centers As Vincent noted, Data Center Frontier has closely tracked the increasing traction of modular infrastructure. Lindsey has been at the forefront of this shift, witnessing the market evolve significantly over the last five years. "Five years ago, we were looking at a graveyard of modular data center companies that leaned heavily on the edge," Lindsey recalled. Many early modular providers focused on latency-sensitive, interconnected solutions—such as base stations at 5G tower sites. However, the market proved premature, hindered by high costs and the scale of deployment within the telecommunications industry. Now, macroeconomic and technological factors have driven a fundamental shift toward modular data centers. One of the most significant drivers is the rapid evolution of chip design. "A traditional data center design cycle can take a year or 18 months," Lindsey explained. "But if we see radical Nvidia chip advancements every 12 months, your design could be obsolete before you even break ground." The need for embedded flexibility within data center design has made modular solutions an ideal fit. Labor Scarcity and the Need for Efficiency Another factor accelerating the adoption of modular infrastructure is the labor shortage in construction. "There just aren't enough people today to build the scale of infrastructure needed for data centers," Lindsey noted. Compounding the issue is an aging workforce, with many skilled professionals nearing retirement. "When they leave, they take decades of institutional knowledge with them." Modular construction mitigates this problem by shifting labor-intensive processes to manufacturing environments where technical expertise is concentrated. By centralizing production, modular providers can reduce reliance on dispersed construction labor while maintaining high precision and efficiency. Liquid Cooling and the Future of High-Density Deployments Flexnode is also a leader in the adoption of high-density liquid-cooled infrastructure. Lindsey attended the CoolerChips event last year and has been vocal about the advantages of liquid cooling for modern workloads. "More recently, modular is everywhere," he said. "We at Flexnode are seeing demand hand over fist for high-density liquid-cooled systems that integrate seamlessly with broader building designs." This demand underscores the shift from the speculative modular edge deployments of five years ago to today's high-performance, flexible data center solutions. "Modular is no longer just a niche," Lindsey concluded. "It's a critical strategy for meeting the growing demand for scalable, high-efficiency data center capacity." The realization that liquid cooling would become a building-wide challenge, rather than just an IT challenge, was a pivotal moment for Flexnode. "Four years ago, we recognized that liquid cooling, which had been around for 10 to 15 years in government and research, was now commercially viable. But very few data centers were truly equipped to deploy it to its full potential," Lindsey explained. Flexnode identified an opportunity to deliver integrated liquid-cooled modules that connect IT systems to building infrastructure through a fully embedded design. Rather than developing proprietary liquid cooling technology, Flexnode focuses on being "liquid neutral." "The liquid cooling market is advancing well on its own," Lindsey said. "We want to enable OEM-driven solutions like JetCool, Motivair, Isotope, and ZutaCore, ensuring they perform optimally in an environment designed to support them." Flexnode operates at the building scale, working on innovative heat management strategies that eliminate the need for external heat rejection. "We integrate heat rejection into the panelized construction of our modular data centers," Lindsey explained. This approach pushes forward a broader, integrated building design suited for liquid cooling. The Shift Toward Hybrid and Two-Phase Liquid Cooling David Chernicoff asked Lindsey whether Flexnode leans toward specific liquid cooling methodologies, such as waterless, multi-phase, or single-phase solutions. Lindsey responded that their focus aligns with OEM and ODM preferences. "Right now, we're primarily working with direct-to-chip water-based single-phase cooling," Lindsey said. "But as part of our work with the Cooler Chips program, we're also developing a hybrid immersion approach with Isotope." This hybrid method integrates both direct-to-chip and immersion cooling. The industry is currently debating whether to move to a single-phase hybrid approach or leapfrog directly to two-phase cooling. "The big challenge with two-phase is the environmental impact of certain chemicals used in the process," Lindsey noted. While companies are actively working to address these concerns, two-phase cooling remains a complex consideration. Even Nvidia is leaning toward a two-phase future. "From what we've heard at CoolerChips, Nvidia sees the next generation as being two-phase oriented," Lindsey said. "But they can speak better to that." With liquid cooling now firmly part of the mainstream conversation, the challenge is not just about advancing the technology but also ensuring that the surrounding infrastructure evolves to support it. Flexnode's approach—integrating liquid cooling at the building level—positions them at the leading edge of this shift. Customer Demands Drive Cooling Technology Choices As the industry evolves, cooling technology decisions are increasingly shaped by customer preferences. "Right now, it's very much customer-driven for us," Lindsey explained. "We're working with sophisticated customers—hyperscalers and GPU-as-a-service providers—who already know what they want to deploy." While some enterprises may still be evaluating their liquid cooling options, hyperscalers are looking beyond traditional single-phase approaches, including both dielectric and water-based cooling. However, Lindsey emphasized that many of these developments remain in the R&D phase. "We don't typically recommend one technology over another unless there's a clear drawback," he said. One challenge with direct-to-chip cooling, for example, is achieving full heat absorption into the liquid. "That's where hybrid approaches come in," Lindsey noted. He described hybrid designs that integrate both two-phase direct-to-chip cooling and immersion cooling, as seen in the CoolerChips program. "In some cases, direct-to-chip is single-phase, in others, it's two-phase. We're working as a category B provider, helping integrate these technologies at the building level." Lindsey also touched on sustainability concerns, particularly around immersion cooling. "Immersion is seen as the most sustainable in terms of energy efficiency, but there are still questions about how immersion fluids impact server longevity over time," he said. Factors like glue degradation and cable insulation breakdown raise questions about immersion cooling's long-term sustainability profile. Two-phase cooling also presents challenges. "There's an ongoing discussion about PFAS and finding non-toxic, non-carcinogenic alternatives," Lindsey explained. "Beyond that, two-phase cooling can create cavitational forces that affect motherboard and chip integrity over time. That's why many in the industry—including Nvidia—are still weighing the trade-offs." With liquid cooling now firmly in the mainstream, the industry's next challenge is integrating these technologies seamlessly into modular data centers. "It's not just about cooling IT gear anymore; it's about designing buildings that fully support liquid cooling at scale," Lindsey concluded. Flexnode's modular approach positions them at the forefront of this transformation. Modular Configurations and Integrated Power Solutions Finally, Flexnode's modular approach offers extreme configurability. "Our modules can be standalone data centers or integrated into powered shell facilities," Lindsey explained. "We configure everything from 2 MW to 20 MW standalone deployments, and we can scale up to 200 MW campuses." Beyond footprint flexibility, power integration is a growing focus. "On-prem generation is gaining traction, particularly with fuel-agnostic generators that can switch between natural gas, hydrogen, methane, and propane," Lindsey noted. Collaborating with partners like Hyliion, Flexnode is exploring adaptable power solutions, including fuel cells. Being behind the meter is another key driver. "Utilities are getting smarter about power allocation," Lindsey said. "In Europe, data centers are facing use-it-or-lose-it policies, and in the U.S., regions like Ohio are imposing tariffs on unused capacity." On-site power generation provides greater flexibility, helping data centers scale more efficiently and participate in curtailment programs that balance grid demand. Looking Ahead As modular data centers become a core part of the industry landscape, Flexnode is pushing the boundaries of what's possible. "We see modular as a natural extension of utilities—a distributed solution that enhances flexibility," Lindsey concluded. "And we're just getting started."

This episode features an interview between Bill Pfeifer and Ananta Nair, Artificial Intelligence Engineer at Dell Technologies, where she leads AI and ML software initiatives for large enterprises. Ananta discusses differences between human learning and AI models, highlighting the complexities and limitations of current AI technologies. She also touches on the potential and challenges of AI in edge computing, emphasizing the importance of building efficient, scalable, and business-focused models. --------Key Quotes:“It's very hard to take these AI structures and say that  they can do all of these very complex things that humans can do, when they're architecturally designed very differently. I'm a big fan of biologically inspired, not biologically accurate.”“Do you really need AGI for a lot of real world applications? No, you don't want that. Do you want some really complex system where you have no idea what you're doing, where you're pouring all this money in and you know, you're not really getting the results that you want? No, you want something very simple outcomes razor approach, make it as simple as possible, scalable, can adapt, can measure for all of your business metrics” “We have reached a point where you can do the most with AI models with minimal compute than ever. And so I think that is very exciting. I think we have reached a point where you have very capable models that you can deploy at the edge and I think there's a lot of stuff happening in that realm.”--------Timestamps: (01:20) How Ananta got started in tech and neuroscience(04:59) Human learning vs AI learning(15:11) Explaining dynamical systems (26:57) Exploring AI agents and human behavior(30:43) Edge computing and AI models(32:58) Advancements in AI model efficiency--------Sponsor:Edge solutions are unlocking data-driven insights for leading organizations. With Dell Technologies, you can capitalize on your edge by leveraging the broadest portfolio of purpose-built edge hardware, software and services. Leverage AI where you need it; simplify your edge; and protect your edge to generate competitive advantage within your industry. Capitalize on your edge today with Dell Technologies.--------Credits:Over the Edge is hosted by Bill Pfeifer, and was created by Matt Trifiro and Ian Faison. Executive producers are Matt Trifiro, Ian Faison, Jon Libbey and Kyle Rusca. The show producer is Erin Stenhouse. The audio engineer is Brian Thomas. Additional production support from Elisabeth Plutko.--------Links:Follow Ananta on LinkedInFollow Bill on LinkedIn

In this episode of the IoT For All Podcast, Fabrizio Del Maffeo, co-founder and CEO of Axelera AI, joins Ryan Chacon to discuss edge AI. The conversation covers the importance and benefits of edge AI, such as reduced latency, real-time decision-making, and enhanced privacy, optimizing algorithms and hardware design for edge devices, the potential of AI in various industries, the role of cloud computing, retrofitting existing solutions with AI, and the impact of generative AI.Fabrizio Del Maffeo is co-founder and CEO of Axelera AI, a Netherlands-based startup building scalable hardware for AI at the edge. Fabrizio leads a world-class executive team, board of directors, and advisors from top AI Fortune 500 companies. Previously, Fabrizio was Vice President and Managing Director of AAEON Technology Europe, the AI and IoT computing company within the ASUS Group. Fabrizio graduated with a Master's degree in telecommunication engineering from Milan Politecnico University.Axelera AI is on a mission to provide rapid access to advanced Edge AI-native hardware and software solutions for companies of all sizes across a range of market verticals and place AI in the hands of those who could not otherwise afford it. They do this by delivering faster, more efficient, and easy-to-use inference acceleration while minimizing power and cost. To do this, their platform is purpose-built to support AI strategies across a wide-range of industries while seamlessly integrating with existing technologies.Discover more about IoT athttps://www.iotforall.comFind IoT solutions:https://marketplace.iotforall.comMore about Axelera AI:https://www.axelera.aiConnect with Fabrizio:https://www.linkedin.com/in/delmaffeo/(00:00) Intro(00:10) Fabrizio Del Maffeo and Axelera AI(01:20) What is edge AI?(02:30) Benefits and challenges of edge computing(05:17) Privacy and compliance in edge AI(06:26) Future of edge computing and AI(08:18) Retrofitting existing edge devices with AI(11:02) Role of cloud computing(12:26) Impact of generative AI(15:24) Industry insights from recent events(17:11) Learn more and follow upSubscribe to the Channel:https://bit.ly/2NlcEwmJoin Our Newsletter:https://newsletter.iotforall.comFollow Us on Social:https://linktr.ee/iot4all

How have data centers evolved and how will we adapt to meet modern data storage demands? In this episode Bill sits down with John Bonczek, Chief Revenue Officer of  fifteenfortyseven Critical Systems Realty, a leading developer of highly interconnected, custom-designed data centers. They discuss the impact of AI on power and cooling requirements and the growing interest in edge deployments. John also highlights the importance of planning, customer requirements, and the challenges of building data centers to meet modern demands.--------Key Quotes:“ And I believe everyone in the space, including AI and hyperscalers, are planning further ahead, as well. Partially because you have to, but you look at the consumption of some of these AI companies that are coming in and gobbling up all of the available inventory out there that meets their needs, it's just causing a lack of inventory to be available.”“There's going to be a next wave from AI, more of the inference applications that are more of the edge applications that require lower latency and more real time compute and learning.”--------Timestamps: (01:45) How John got started in tech (06:45) Data centers and edge deployments (11:13) Challenges in modern data centers(20:29) The role of AI(31:01) Power and sustainability in data centers(35:50) Nomad Futurists and the future workforce --------Sponsor:Edge solutions are unlocking data-driven insights for leading organizations. With Dell Technologies, you can capitalize on your edge by leveraging the broadest portfolio of purpose-built edge hardware, software and services. Leverage AI where you need it; simplify your edge; and protect your edge to generate competitive advantage within your industry. Capitalize on your edge today with Dell Technologies.--------Credits:Over the Edge is hosted by Bill Pfeifer, and was created by Matt Trifiro and Ian Faison. Executive producers are Matt Trifiro, Ian Faison, Jon Libbey and Kyle Rusca. The show producer is Erin Stenhouse. The audio engineer is Brian Thomas. Additional production support from Elisabeth Plutko.--------Links:Follow John on LinkedInFollow Bill on LinkedIn

How does the Tour de France collect data and provide real time stats to viewers? Shahid Ahmed, EVP for New Ventures and Innovations at NTT, argues that the work they do to track the Tour de France is the ultimate edge use case. He also dives into small AI models and localized data at the edge, as well as educating for the future of jobs in tech. --------Key Quotes:“ I think [tracking the Tour de France] is one of the most fascinating edge use cases that I've seen in a while…. We've got cyclists going at north of 50 miles an hour, 60 miles an hour sometimes, and they're moving across a variety of different towns, villages, mountains, always a challenge from a network coverage perspective. It's a very difficult equation just from that movement part.”“If you tune in to NBC, which covers the Tour de France, or USA Network, which is the sister network, you'll always see the live coverage of stats…. Live data is a must have and it has to have very small latency, meaning it can't be five seconds later when the cyclist has gone down or finished across the line.”Timestamps: (01:32) How Shahid got started in tech (04:55) Innovations in 5G(09:06) Challenges and innovations in the Tour de France(18:01) Edge AI and industrial applications(27:38) Lessons from a global role and regulatory challenges(34:03) Teaching Industrial IoT and preparing the workforce--------Sponsor:Edge solutions are unlocking data-driven insights for leading organizations. With Dell Technologies, you can capitalize on your edge by leveraging the broadest portfolio of purpose-built edge hardware, software and services. Leverage AI where you need it; simplify your edge; and protect your edge to generate competitive advantage within your industry. Capitalize on your edge today with Dell Technologies.--------Credits:Over the Edge is hosted by Bill Pfeifer, and was created by Matt Trifiro and Ian Faison. Executive producers are Matt Trifiro, Ian Faison, Jon Libbey and Kyle Rusca. The show producer is Erin Stenhouse. The audio engineer is Brian Thomas. Additional production support from Elisabeth Plutko.--------Links:Follow Shahid on LinkedInFollow Bill on LinkedIn

Send Everyday AI and Jordan a text messageDid Google dethrone OpenAI in December? Could Claude finally catch up? Or will ChatGPT reign supreme in the LLM race of 2025? We break down the LLM landscape in 2025. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions on AIUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:1. OpenAI's Dominance in LLM Space2. Shift Towards Smaller Language Models3. LLMs and Internet Connectivity4. OpenAI's Focus and Competition5. Popularity of Different AI Systems6. LLM Predictions and OutcomesTimestamps:00:00 Discussing future competition in AI development.02:20 Daily AI news08:49 Importance of large language models in daily life.10:31 Who will win AI race: OpenAI, Google, others?16:30 Focus will shift to business value in 2025.17:20 New AI models surpass human intelligence benchmarks.23:13 Chat GPT search frequently stuck in loop.26:06 OpenAI loses money, key staff, needs resources.27:51 Listen to WorkLab podcast for AI insights.30:54 ChatGPT dominates due to user interest.34:46 Google hid AI tech, affecting market value.38:03 ChatGPT's interface outpaces stagnant competitors' features.42:49 Locally run massive models, GPT advancements impressive.45:09 OpenAI excels in small language models locally.48:33 Google's groundbreaking December 2024 in AI technology.Keywords:OpenAI, ChatGPT, Google Trends, AI systems, Gemini, Perplexity, Claude, large language models, front-end dominance, internet connectivity, ChatGPT search, financial challenges, competition, AI strengths, user data, Microsoft WorkLab Podcast, model parameters, Meta, GPT-4, NVIDIA, small language models, Edge AI, AI race, Everyday AI podcast, Microsoft investment in India, Google DeepMind, NVIDIA RTX 50 series GPU, artificial intelligence, AI knowledge, reasoning models. Learn how work is changing on WorkLab, available wherever you get your podcasts.

Send Everyday AI and Jordan a text messageGoogle just dropped its 'Flash Thinking' reasoning model. Is it better than o1? ↳ Why is NVIDIA going small? ↳ And OpenAI announced its 03 mode. Why did it skip o2? ↳ ChatGPT's Advanced Voice Mode gets a ton of updates. What do they do?  Here's this week's AI News That Matters!Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions on AIUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:1. Google AI Models and Updates2. ChatGPT Updates3. ChatGPT Advanced Voice Mode4. OpenAI's New Reasoning Model5. Salesforce AI Updates6. NVIDIA Jetson Orin Nano7. Meta's Ray-Ban Smart GlassesTimestamps:00:00 Daily AI news podcast and newsletter subscription.05:06 Gemini 2.0 Flash tops in LLM rankings.07:36 Ray Ban Meta Glasses: AI video, translation available.11:17 Salesforce hires humans to sell AI product.14:26 NVIDIA's Nano Super boosts AI performance, affordability.18:29 VO 2 excels with 4K quality physics videos.23:17 AI models can deceive by faking alignment.24:50 Anthropic study highlights AI system behavior variability.29:40 Google previews AI-mode search with chatbot features.32:38 Big publishers block access; tech must adapt.37:32 ChatGPT updates improve app integration functionality.|40:40 O Three models enhance AI task adoption.44:09 Current AI hasn't achieved AGI, needs tool use.45:52 O three model may achieve AGI, costly access.48:17 Share our AI content; support appreciated.Keywords:Google AI Mode, Gemini AI chatbot, refining searches, ChatGPT updates, OpenAI, AI integration in search engines, Salesforce AgentForce 2.0, Capgemini survey, AI security risks, NVIDIA Jetson Orin Nano, Edge AI, Google VO 2, video generation model, YouTube Shorts, AI alignment faking, Anthropic research, Google's Gemini 2.0 Flash Thinking, multimodal reasoning, Meta's Ray-Ban Smart Glasses, real-time language translation, Shazam integration, OpenAI 03 reasoning model, artificial general intelligence, ARC AGI benchmark, AI capabilities, high costs of AI, Google updates, Meta updates, Salesforce updates, NVIDIA updates. Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/

My guests today are Andrew Homan and Chris Miller. Andrew has spent two decades at Maverick Capital and is a managing partner at Maverick Silicon, where he leads the firm's technology investments. Chris is a professor at Tufts and the author of the New York Times best-selling book “Chip War,” which details the geopolitical battle to control the semiconductor industry. Together we get into a comprehensive discussion on the semiconductor ecosystem and the silicon backbone of our digital age. Andrew and Chris share insights on how venture capital is navigating this complex industry and what it means for the future of computing. We discuss the AI-driven revolution in chip demand, the geopolitics of semi-manufacturing, and the next wave of innovation beyond NVIDIA. Please enjoy my conversation with Andrew Homan and Chris Miller. For the full show notes, transcript, and links to mentioned content, check out the episode page here. ----- This episode is brought to you by Ramp. Ramp's mission is to help companies manage their spend in a way that reduces expenses and frees up time for teams to work on more valuable projects. Ramp is the fastest growing FinTech company in history and it's backed by more of my favorite past guests (at least 16 of them!) than probably any other company I'm aware of. It's also notable that many best-in-class businesses use Ramp—companies like Airbnb, Anduril, and Shopify, as well as investors like Sequoia Capital and Vista Equity. They use Ramp to manage their spending, automate tedious financial processes, and reinvest saved dollars and hours into growth. At Colossus and Positive Sum, we use Ramp for exactly the same reason. Go to Ramp.com/invest to sign up for free and get a $250 welcome bonus. — This episode is brought to you by Tegus, where we're changing the game in investment research. Step away from outdated, inefficient methods and into the future with our platform, proudly hosting over 100,000 transcripts – with over 25,000 transcripts added just this year alone. Our platform grows eight times faster and adds twice as much monthly content as our competitors, putting us at the forefront of the industry. Plus, with 75% of private market transcripts available exclusively on Tegus, we offer insights you simply can't find elsewhere. See the difference a vast, quality-driven transcript library makes. Unlock your free trial at tegus.com/patrick. ----- Invest Like the Best is a property of Colossus, LLC. For more episodes of Invest Like the Best, visit joincolossus.com/episodes.  Stay up to date on all our podcasts by signing up to Colossus Weekly, our quick dive every Sunday highlighting the top business and investing concepts from our podcasts and the best of what we read that week. Sign up here. Follow us on Twitter: @patrick_oshag | @JoinColossus Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com). Show Notes: (00:00:00) Welcome to Invest Like the Best (00:06:28) Intel's Historical Success and Current Challenges (00:08:22) The Paradigm Shift in Technology (00:11:44) AI and the Future of Semiconductors (00:19:02) Political and Economic Considerations in Chip Manufacturing (00:29:28) Investment Perspectives and Market Dynamics (00:45:46) The Mobile Paradigm Shift: Apple vs. AT&T (00:46:49) Corporate Strategies in the AI Transition (00:48:02) NVIDIA's Dominance and Potential Vulnerabilities (00:51:27) The Future of Edge AI (00:57:02) Powering the Data Centers of Tomorrow (00:59:42) The Semiconductor Startup Ecosystem (01:05:08) The Role of Government and Global Dynamics (01:07:28) Investment Strategies and Market Dynamics (01:10:57) The Future of the Semiconductor Industry (01:25:52) The Kindest Thing Anyone Has Ever Done For Chris And Andrew