AI’s future won’t be built in massive data centers alone—it’s shifting quietly into the devices we use every day. This episode of Utilizing AI features Stephen Foskett of Tech Field Day, The Futurum Group’s Olivier Blanchard, and Techstrong AI’s Mike Vizard, offering a sharp look at the move from cloud-only AI to a smarter hybrid model spanning devices, edge systems, and private clouds.

They explain how faster chips and new private cloud compute layers from Apple and Google cut latency, improve privacy, and reduce pressure on hyperscale infrastructure—pushing back on headlines about runaway AI costs. The panel explores how this distributed approach boosts efficiency and sustainability, why Apple’s tightly integrated hardware gives it a security and flexibility advantage, and how shifting inference demands could temper the need for giant NVIDIA processors.

And while debating whether Apple “missed” AI, they argue its practical, privacy-first strategy—rooted in on-device processing, selective cloud use, and focused partnerships—leaves it better positioned than competitors making splashy but often superficial megaproject claims.

#UtilizingAI #AI #EdgeAI #OnDeviceAI #HybridAI #AppleAI #GoogleAI #NVIDIA #AIInfrastructure #AIFuture #AIPrivacy #AIExplained

Stephen Foskett, Nick Patience, and Mike Vizard break down how AI is reshaping society and the business world. The episode covers evolving regulatory models, including the EU’s strict approach, and how cultural attitudes influence adoption. The discussion digs into data privacy pressures, the growing role of generative AI in business workflows, and why solid software engineering practices matter more than hype. The team wraps with what’s next: human-AI collaboration built on responsibility, transparency, and ethical management.

#AI #ArtificialIntelligence #DataPrivacy #BusinessTech #FuturumGroup #UtilizingAI #Regulation #AIEthics #Innovation

On this episode of the Utilizing AI Podcast, Stephen Foskett, Brad Shimmin, and Olivier Blanchard unpack how artificial intelligence is moving from the lab into everyday life and enterprise systems.

They discuss how AI powers smart devices, accelerates edge computing, and improves enterprise performance through faster processing and stronger security.

The episode also examines Apple’s growing AI ecosystem, new privacy safeguards, and how global politics shape innovation and risk management.

Plus, a look at next-gen AI hardware driving the future of intelligent computing.

Amanda Razani speaks with Tom Dunlop, CEO of Summize, about the results of a recent survey that focuses on the impact AI is having on the legal industry. Dunlop shares use cases, key concerns and tips for getting the most from AI in regard to legal work.

Amanda Razani speaks with Wendy Collins, chief AI officer at NTT Data, about the main concerns business leaders have in implementing AI and seeing a return on investment. Wendy also discusses critical research being done by NTT in the physics of AI, and why it's important. 

Amanda Razani speaks with Anita Kirkovska, head of growth at Vellum, about its recent State of AI Development report. Anita also shares valuable tips for ensuring the success of AI implementation projects.

Description: Amanda Razani speaks with Sameer Gupta, financial services AI leader at EY, about quality AI use cases in banking, successful AI implementation strategies and more.

Amanda Razani speaks with James Raybould, head of Turing Intelligence, about the struggle business leaders face in seeing an ROI from artificial intelligence implementation, and he shares his tips for successful AI tool integrations.

Amanda Razani speaks with Rajan Goyal, CEO of DataPelago, about how enterprises struggle with AI data management. Rajan shares some of the key issues business leaders face, and he gives advice for handling them.