#267 Nabil Bukhari: Exploring the Future of AI-Powered Enterprise Networking with Extreme Networks
What does the future of enterprise networking really look like? In this episode, Extreme Networks’ Chief Product & Technology Officer Nabil Bukhari joins Craig to explore how AI, autonomous agents, and platform thinking are transforming the core infrastructure of modern businesses. From managing mission-critical networks to building agentic systems that collaborate, troubleshoot, and scale autonomously - this is a deep dive into how connectivity is being redefined from the ground up. Whether you’re a tech leader, CIO, product builder, or simply curious about how infrastructure evolves, this conversation reveals where the enterprise is headed next. Check out Extreme Networks: https://www.extremenetworks.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 (01:02) Introducing Nabil Bukhari & Extreme Networks (05:24) Why Global Connectivity Is Still Accelerating (07:54) How Enterprise Data Flows Across Modern Networks (12:34) Networking for AI vs. Built-in AI (14:12) Platform One & Agentic AI Systems Explained (21:20) Human-in-the-Loop, Over-the-Loop, and Above-the-Loop (23:35) Why AI Guardrails Must Be Baked into the Architecture (27:33) Introducing the ARC Framework (31:15) Persona-Based Interfaces for NetOps, CFOs & CMOs (33:25) The Problem with Chatbots (36:06) Enterprise vs. Public Networks (38:38) Global Connectivity Infrastructure & Use Case Variability (44:29) How Secure and Resilient Are Enterprise Networks? (52:24) In-House AI for Critical Infrastructure
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#266 Andy Kurtzig: How Pearl Uses AI + Human Experts In Professional Services
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. Check out Pearl, AI Enhanced Human Expertise: https://www.pearl.com/ Stay Updated: Craig Smith on X: https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI (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
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#264 Jeff Lu: How Akool Uses Gen AI to Make Live AI Avatars & Voices
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. Stay Updated: Craig Smith on X:https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI (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
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#264 Amr Awadallah: Vectara’s Mission To Make AI Hallucination-Free & Enterprise Ready
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. Stay Updated: Craig Smith on X: https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI
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#263 Jarek Kutylowski: How DeepL Is Using AI to Break Language Barriers
What if language was no longer a barrier to global business? In this episode, DeepL CEO Jarek Kutylowski joins Craig Smith to unpack how AI-powered translation is reshaping the way companies communicate across borders. From real-time speech tools to enterprise-grade language workflows, Jarek shares DeepL’s journey, the tech behind their LLMs, and why accuracy, nuance, and localization matter more than ever. If you're building for a global audience, this conversation is a must-listen. About Jarek: Dr. Jaroslaw “Jarek” Kutylowski is the founder and CEO of DeepL, the Cologne-based Language AI company transforming global communication and breaking down language barriers for businesses worldwide. Born in Poland and having spent a large part of his life in Germany, Jarek brings an international perspective and a lifelong passion for technology - a developer at heart, he began coding at just 10 years old, building tools he found useful in daily life. He holds a PhD in Computer Science with a focus on mathematics and has held roles at several tech companies prior to founding DeepL. Under his leadership, DeepL has grown rapidly, expanding its Language AI platform to offer highly accurate and nuanced human-like translation in both written and spoken formats, as well as a contextual AI writing assistant. Today, over 200,000 businesses and governments - and millions of individuals across 228 global markets - trust DeepL for secure, seamless and effective communication. Stay Updated: Craig Smith on X: https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI (00:00) Introduction to DeepL and Jarek’s Vision (05:09) DeepL’s Technology Evolution (08:17) The DeepL Platform: Products, APIs, and Enterprise Use Cases (12:39) Why DeepL Outperforms Consumer Tools (15:14) How Enterprises Use DeepL (17:05) DeepL’s Translation Accuracy (21:20) Breaking Language Barriers in Global Workforces (23:46) A Future Without Language Barriers (27:19) Expanding Language Coverage and Industry Verticals (31:44) DeepL’s Role in High-Compliance Sectors (34:04) Tackling Latency and Real-Time Use Cases (38:38) DeepL as the Translation Engine Behind Other Products (42:40) Partnering with News Media and Government (45:40) Pricing Models and Accessibility (46:24) The Human Impact of AI-Powered Language Tools (49:22) What’s Next for DeepL and Global Communication
Eye on A.I. is a biweekly podcast, hosted by longtime New York Times correspondent Craig S. Smith. In each episode, Craig will talk to people making a difference in artificial intelligence. The podcast aims to put incremental advances into a broader context and consider the global implications of the developing technology. AI is about to change your world, so pay attention.
Listen to Eye On A.I., The AI Daily Brief (Formerly The AI Breakdown): Artificial Intelligence News and Analysis and many other podcasts from around the world with the radio.net app
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