Eye On A.I.

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

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.

Matthew Carroll, CEO and co-founder of Immuta, joins the Eye on AI podcast to explore how data access governance is evolving in the age of generative AI.

As AI drives a surge in both human and non-human data consumers, traditional security models are no longer enough. Matthew explains how Immuta automates compliance, enforces policies across global jurisdictions, and scales secure access for enterprises—from blinded clinical trials in pharma to cross-border data sharing.

Discover why AI-powered governance agents, risk-based access controls, and native cloud integration are the future of compliant, scalable data use.

Stay Updated: Craig Smith on X: https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI

(00:00) How Immuta Governs Data in the AI Era (02:59) Security Alone Isn't Enough in AI (05:24) From U.S. Intel Roots to Immuta's Platform (07:38) Pharma Trials: Protecting Billions in Drug Development (12:58) The Data Marketplace & Access Negotiations (16:07) Why Native Integration Beats Proxy Models (20:33) Managing Data Across Borders & Sovereignty Laws (25:33) The Data Governor Bottleneck (and AI Solution) (31:05) Inside Immuta's SaaS Model & User Roles (33:26) Big Data Lessons Driving AI ROI (41:05) The Growing Data Governance Market (45:48) Storage Portability & Apache Iceberg Explained (48:32) Future Shift to Risk-Based, AI-Driven Access

AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support. How does a 150,000-employee global leader make AI work at scale? In this episode of Eye on AI, host Craig Smith sits down with Julia Peyre, Head of AI Strategy & Innovation at Schneider Electric, to explore how the company is pioneering enterprise AI adoption through its AI Hub, hybrid AI systems, and real-world digital twin applications.

From breaking data silos and embedding AI into hardware, to partnering with startups and building predictive maintenance solutions, Julia shares a blueprint for bringing AI from pilot programs to full-scale deployment, across both internal processes and customer-facing products. Stay Updated: Craig Smith on X:https://x.com/craigssEye on A.I. on X: https://x.com/EyeOn_AI (00:00) Preview and Intro (01:58) Meet Julia Peyre & Her Role(03:19) Inside Schneider's AI Hub(05:51) AI in Industrial Automation & Robotics(08:43) Internal vs External AI Applications(13:54) Why Schneider Is Ahead in AI Adoption(15:57) Centralized AI Hub Model(19:38) Hybrid AI: Combining Physics & Data(25:44) Early Steps in Multi-Agent Systems(29:54) Breaking Data Silos for AI at Scale(32:02) Predictive Maintenance with Hybrid AI(37:03) Long-Term View on AI Automation(42:37) Advice for Young Professionals in AI(44:21) Framework for Evaluating AI Solutions(50:19) Involving End Users in AI Testing

In this episode of Eye on AI, host Craig Smith sits down with Alex Salazar, co-founder and CEO of Arcade.dev, to explore what it really takes to build secure, scalable AI agents that can take real-world actions. While everyone's talking about the future of autonomous agents, most never make it past the demo stage. Why? Because agents today lack secure infrastructure to connect with real tools like Gmail, Slack, Notion, GitHub—and do so on behalf of users without breaking authentication protocols. Alex shares how Arcade solves the missing layer in AI agent development: secure tool execution, user-specific authorization, OAuth flows, and production-ready consistency. Whether you're building with GPT‑4, Claude, or open-source models, Arcade handles the hard part—making agent actions actually work. 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 Agents Can't Take Action (Yet) (01:27) Meet Alex Salazar: From Okta to Arcade (03:39) What Arcade.dev Actually Does (05:16) Agent Protocols: MCP, ACP & Where Arcade Fits (07:36) Arcade Demo: Building a Multi-Tool AI Agent (11:16) Handling Secure Authentication with OAuth (14:40) Why Agents Need User-Tied Authorization (19:25) Tools vs APIs: The Real Interface for LLMs (23:41) How Arcade Ensures Agents Go Beyond Demos (25:48) Why Arcade Focuses on Developers, Not Consumers (27:55) The Roadblocks to Production-Ready Agents (31:15) How Arcade Integrates Into Agent Workflows (33:16) Tool Calling & Model Compatibility Challenges (34:49) Arcade's Pricing Model Explained (36:20) Competing with Big Tech: IBM, AWS & Others (38:38) Future of Agents: From Hype to Workflow Automation (41:58) Real Use Cases: Email Agents, Slack Bots, Finance & More (46:17) Agent Marketplaces & The Arcade Origin Story

AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support. What happens when AI meets the chaos of real-world customer support? In this episode of Eye on AI, we sit down with Ryan Wang, co-founder and CEO of Assembled, to unpack how AI is transforming the future of customer service, without replacing humans. Ryan reveals how Assembled went from a workforce scheduling tool to a full-stack AI support platform used by companies like Stripe, Robinhood, and Honeylove. You'll learn how conversational AI agents are handling up to 75% of support inquiries, why voice is the next big frontier, and how AI copilots are helping human agents become 15% more productive. But this isn't just hype. Ryan shares the hard economic truths behind automation—why humans aren't going away, how companies are navigating global workforce optimization, and why hybrid AI + human systems are here to stay. This episode gives you a front-row seat into how the smartest companies are rethinking support at scale.

Stay Updated: Craig Smith on X:https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI (00:00) Preview and Intro (01:37) Ryan Wang's Journey from Stripe to Assembled (04:55) Launching Assembled (09:49) From Scheduling Tool to AI-Powered Support (12:11) Who Uses Assembled: Companies vs. BPOs (14:57) Building Conversational and Voice AI Agents (21:10) Competing with Zendesk, Salesforce & Crescendo (23:07) How Assembled Integrates with Customer Support Stacks (25:40) The Niche Power of Workforce Management Tech (31:16) Why the Customer Support Market Is Ripe for Disruption (33:47) How Assembled Swaps Between OpenAI, Claude & Others (37:56) Evaluating LLMs with Golden Datasets and 'Vibe Checks' (41:20) Multilingual Support and the Challenge of Europe (45:11) Industry Focus vs. Complexity Focus (47:43) Voice AI: The Next Big Frontier? (50:18) The Truth About AI Replacing Jobs in Support (54:39) The Automation Paradox: Why Labor Isn't Shrinking

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

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

Grammarly is no longer just a writing assistant. It's building an AI productivity platform that could rival Microsoft Copilot. In this episode, Luke Behnke, VP of Enterprise Product at Grammarly, shares how the company is moving beyond grammar correction into intelligent agents, enterprise workflows, and real-time AI tools.

We dive into Grammarly's new Authorship feature, why AI fluency is becoming essential at work, how Grammarly is integrating tools like Coda and Superhuman, and what the future of multi-agent systems looks like.

If you're curious about where AI at work is really heading, this conversation will give you a clear and powerful glimpse.

(00:00) Preview and Intro (03:37) Meet Luke Behnke(05:00) Grammarly's Origin Story and Early Vision(09:11) Grammarly's UX Advantage(13:30) Competing With Microsoft Copilot and Built-In Assistants(17:48) What Is "Authorship" and Why It Matters(20:31) AI Detection vs Authorship Tracking(25:05) The Future of AI Transparency(27:43) Why AI Fluency Will Be a Job Requirement(32:04) Grammarly's Agentic Vision(34:11) The Rise of Context-Aware Enterprise Agents(38:24) Use Cases: Automating Tasks Across Tools with AI(40:21) The Coda Acquisition & Building the Agent Platform(44:48) The Future of Interoperable AI Agents(47:43) Why Agent Oversight Is Crucial in Enterprise AI(55:57) Measuring Grammarly's ROI in the Enterprise

This episode is brought to you by Extreme Networks, the company radically improving customer experiences with AI-powered automation for networking.Extreme is driving the convergence of AI, networking, and security to transform the way businesses connect and protect their networks, delivering faster performance, stronger security, and a seamless user experience.

Visit https://www.extremenetworks.com/ to learn more.

In this episode, Craig Smith sits down with Benjamin Encz, co-founder and CEO of Ashby, the AI-powered recruiting platform that is transforming how companies hire.

Ashby is disrupting the $650B recruiting industry by combining automation, data, and large language models to streamline the entire hiring process, from job postings to resume screening and interview scheduling. With clients like OpenAI and Shopify, Ashby is setting a new standard for modern recruiting.

Benji shares how AI is boosting efficiency while keeping human judgment at the center, and what the future of hiring could look like as these tools continue to evolve.

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AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support. What if the most important AI conference in the world wasn't built by academics or hype merchants, but by operators who actually understand what businesses need? In this episode, Craig sits down with Andrew Blum, Co-Founder and COO of HumanX, the breakout AI conference that has quickly become the go-to gathering for enterprise leaders, AI builders, and government policymakers. Andrew shares the inside story of how HumanX went from an idea born in a VC incubator to hosting 3,300+ attendees, 350 speakers, and leaders from OpenAI, Anthropic, Mistral, Snowflake, and more, all within 18 months. You'll hear how HumanX is different from other conferences, why face-to-face connection matters more than ever, and how HumanX is creating the bridge between AI innovation and real-world business transformation. This is a behind-the-scenes look you won't want to miss. Like and subscribe for more! Stay Updated:

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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.

Like and subscribe for more!

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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