This episode is sponsored by Oracle. OCI is the next-generation cloud designed for every workload – where you can run any application, including any AI projects, faster and more securely for less. On average, OCI costs 50% less for compute, 70% less for storage, and 80% less for networking. Join Modal, Skydance Animation, and today’s innovative AI tech companies who upgraded to OCI…and saved.

Try OCI for free at http://oracle.com/eyeonai

What if the future of enterprise wasn’t human-driven, but agent-driven?

In this groundbreaking episode, Steve Lucas, CEO of Boomi, unveils a radical vision for the next era of business: one where AI agents will power 75% of enterprise operations by 2026. From eliminating traditional user interfaces to transforming legacy systems with no-code automation, Steve walks us through how Boomi is building the infrastructure for a self-driving enterprise, and why businesses that fail to prepare will be left behind.

This episode will shift your perspective on where the enterprise is headed and who (or what) will be running it.

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AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support.

In this episode, GitHub CEO Thomas Dohmke joins us for a deep dive into the evolution of software development — from decentralized version control to the rise of AI coding agents. With over 150 million developers on GitHub and tools like Copilot rewriting the rules of software engineering, we explore what it really means to build in an AI-native future.

Thomas shares the origin story of Copilot, how GitHub is shifting from human-to-human to human-to-agent collaboration, and why he believes natural language is becoming the universal programming language. We also cover the technical architecture behind Coding Agents, the feedback loop between developers and AI, and what it takes to scale multi-agent systems in the real world.

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(00:00) The Future of AI-Powered Coding

(02:04) Thomas Dohmke’s Journey

(05:16) GitHub’s Origin Story & Evolution

(08:45) Life Before GitHub: Early Version Control Systems

(10:40) What is Git? And Why GitHub Matters

(12:36) The Birth of GitHub Copilot

(16:17) The Rise of AI Agents

(17:52) How Kids Are Learning to Code with Copilot

(22:38) Can Non-Coders Use Copilot Agents Effectively?

(26:01) What the Coding Agent Actually Does Behind the Scenes

(31:30) The Models Behind GitHub Copilot & Developer Choice

(35:22) How Much Code Is Now Written by AI?

(38:51) GitHub’s Innovation Strategy

(41:54) What’s Next for GitHub

(45:24) From 150M to 1B Developers: Empowering the World to Build

(47:51) GitHub Universe & Galaxy Events

(49:53) GitHub’s Innovation Graph and the Power of Open Collaboration

AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support.

In this episode of Eye on AI, Craig Smith sits down with Jason Hardy, Chief Technology Officer for AI at Hitachi Vantara, to explore what it really takes to deploy AI at scale in the enterprise, beyond the hype.

Jason shares how Hitachi is building a pragmatic, outcomes-driven AI platform through Hitachi iQ. From working with NVIDIA to integrating agentic AI into operations, this conversation unpacks the infrastructure, mindset, and strategies needed to move AI projects from experimentation to production.

Whether you're navigating AI adoption, battling with data readiness, or looking to build your own LLM-powered applications, this episode offers invaluable insights from a company that's actually doing it globally, sustainably, and at scale.

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(00:00) Preview

(02:10) The Role of CTO for AI at Hitachi Vantara

(05:38) Applying AI Across Manufacturing, Energy & Transport

(09:54) What Is Pragmatic AI?

(13:21) Infrastructure Demands of Generative AI

(14:47) Why Most AI Projects Fail

(20:25) Inside the Hitachi iQ Platform & NVIDIA Partnership

(25:42) Building a Model-Agnostic, Hybrid AI Stack

(32:08) Beyond Selling GPUs: Delivering Real AI Outcomes

(38:09) Supporting Hybrid Deployments Across Cloud and On-Prem

(42:02) Rethinking ROI: Failure as a Strategic Advantage

(47:44) Agentic AI and the Future of Autonomous IT Workflows

(49:37) Five Core Domains of Agentic AI at Hitachi

(53:02) Making AI Infrastructure Sustainable

(56:48) Hitachi's Vision for the Future of Enterprise AI

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/

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(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

AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support.

What if AI could actually be trusted in healthcare, law, or even car repair?

In this episode, Andy Kurtzig, founder and CEO of Pearl (formerly JustAnswer), reveals how his platform is solving the biggest problems in AI: hallucinations, liability, and monetization.

Pearl blends large language models with real human experts across 700+ categories—so users get AI speed and human-verified accuracy.
Whether you're a doctor, mechanic, or just someone with a question, Pearl offers fast, affordable, and expert-backed answers—without the risk of misinformation.

If you’re building in AI, working in a regulated industry, or just curious about the future of trusted automation—this episode is for you.

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(00:00) Introduction
(03:20) Why Pearl Focuses on High-Stakes Industries
(06:10) How Pearl Reduces AI Hallucinations with Human Trust Scores
(10:11) Pearl.com’s Ideal Customers
(14:14) Solving AI Liability with Platform Protection
(23:27) The Three Big Problems in AI: Risk, Quality, and Monetization
(29:00) Why Human-in-the-Loop Is the Future of AI
(33:26) Pearl’s API: Bringing Verified Experts to Any App
(39:27) Building Trust in AI Through Human Validation
(41:03) The Road Ahead for Pearl and Human-Centered AI

What if you could translate any video into any language—instantly—and make it look like the speaker was really speaking it?

In this episode of Eye on AI, host Craig Smith sits down with Jeff Liu, founder and CEO of Akool, to explore how AI avatars and real-time video translation are eliminating global language barriers. With a background at Apple, Google, and Stanford, Jeff is leading Akool to the frontier of generative AI: cloning faces, voices, and emotions in live video streams.

We dive into the technical architecture behind Akool’s real-time avatars, the role of large language models in translation latency, and what the future looks like when the need to "learn languages" may disappear.

Whether you're a content creator, marketer, technologist, or just curious about what’s next in AI and communication, this episode is a must-listen.

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(00:00) Creating Digital Clones with AI

(01:20) Jeff Liu’s Journey from Big Tech to Startup Founder

(02:54) What Akool Does and Who It's For

(07:11) Inside the Live AI Avatar Suite

(10:32) How Akool Powers Real-Time AI Avatars

(16:05) Solving Language Translation with Avatars

(21:40) Translating YouTube Videos with One Click

(28:36) The Technology Behind Real-Time Translation

(33:22) Competing with Tech Giants Like Google

(36:26) Akool's Vision

(39:36) Avatar Types: Instant, Studio, and Ultra explained

(43:39) Building Emotional Nuance into Voice and Video

AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support.

What’s stopping large language models from being truly enterprise-ready?

In this episode, Vectara CEO and co-founder Amr Awadallah breaks down how his team is solving one of AI’s biggest problems: hallucinations.

From his early work at Yahoo and Cloudera to building Vectara, Amr shares his mission to make AI accurate, secure, and explainable. He dives deep into why RAG (Retrieval-Augmented Generation) is essential, how Vectara detects hallucinations in real-time, and why trust and transparency are non-negotiable for AI in business.

Whether you're a developer, founder, or enterprise leader, this conversation sheds light on the future of safe, reliable, and production-ready AI.

Don’t miss this if you want to understand how AI will really be used at scale.

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