#304 Matt Zeiler: Why Government And Enterprises Choose Clarifai For AI Ops
Release Date: 11/28/2025
#327 Baris Gultekin: The Next Phase of AI - Agents That Understand Your Company’s Data
Eye On A.I.
This episode is sponsored by Modulate. Meet Velma, voice AI that detects tone, intent, and stress: Baris Gultekin, Head of AI at Snowflake, breaks down how enterprise AI is actually being built, deployed, and scaled today. From running AI directly inside governed data environments to enabling natural language access across entire organizations, this conversation explores the shift from experimentation to real-world impact. You’ll learn why Snowflake’s core philosophy centers around bringing AI to the data, how data agents are transforming decision-making across teams, and...
info_outline
#326 Zuzanna Stamirowska: Inside Pathway's Post-Transformer Architecture Designed for Memory and On-the-Fly Learning
Eye On A.I.
This episode is sponsored by tastytrade. Trade stocks, options, futures, and crypto in one platform with low commissions and zero commission on stocks and crypto. Built for traders who think in probabilities, tastytrade offers advanced analytics, risk tools, and an AI-powered Search feature. Learn more at This episode dives into why Pathway’s Baby Dragon Hatchling (BDH) might mark the beginning of the post-transformer era in AI. Zuzanna Stamirowska, Pathway’s CEO and co‑author of BDH, explains why today’s transformer-based LLMs hit a wall on long-horizon reasoning, how memory...
info_outline
#325 Phelim Brady: Why AI's Future Depends on Human Judgement
Eye On A.I.
AI often looks fully automated. But behind the scenes, a huge amount of human judgment is shaping how these systems actually work. In this episode, Craig Smith speaks with Phelim Bradley, co-founder and CEO of Prolific, a platform that connects millions of real people with researchers and AI labs to evaluate and improve AI systems. They explore the hidden human layer behind modern AI, why traditional benchmarks are becoming less reliable, and why AI companies increasingly rely on real human feedback to measure model performance in the real world. Phelim also explains how...
info_outline
#324 Sharon Zhou: Inside AMD’s Plan to Build Self-Improving AI
Eye On A.I.
AI is not just getting smarter. It is getting faster by learning how to optimize the hardware it runs on. In this episode, Sharon Zhou, VP of AI at AMD and former Stanford AI researcher, explains how language models are beginning to write and optimize their own GPU kernel code. We explore what self improving AI actually means, how reinforcement learning is used in post training, and why kernel optimization could be one of the most overlooked scaling levers in modern AI. Sharon breaks down how GPU efficiency impacts the cost of training and inference, why catastrophic forgetting remains a...
info_outline
#323 David Ha: Why Model Merging Could Be the Next AI Breakthrough
Eye On A.I.
This episode is sponsored by tastytrade. Trade stocks, options, futures, and crypto in one platform with low commissions and zero commission on stocks and crypto. Built for traders who think in probabilities, tastytrade offers advanced analytics, risk tools, and an AI-powered Search feature. Learn more at Artificial intelligence is reaching a turning point. Instead of building bigger and bigger models, what if the real breakthrough comes from letting AI evolve? In this episode of Eye on AI, David Ha, Co-Founder and CEO of Sakana AI, explains why evolutionary strategies and collective...
info_outline
#322 Amanda Luther: The Widening AI Value Gap (Inside BCG's AI Research)
Eye On A.I.
In this episode of Eye on AI, Craig Smith speaks with Amanda Luther, Senior Partner at Boston Consulting Group and global lead of BCG’s AI Transformation practice, about what their latest 1,500-company AI study reveals about the widening gap between AI leaders and laggards. Only 5% of companies are truly “future-built” with AI embedded across their core business functions. These firms are seeing measurable gains in revenue growth, EBIT margins, and shareholder returns. Meanwhile, 60% of organizations are either experimenting or struggling to extract real value. Amanda breaks down how BCG...
info_outline
#321 Nick Frosst: Why Cohere Is Betting on Enterprise AI, Not AGI
Eye On A.I.
This episode is sponsored by tastytrade. Trade stocks, options, futures, and crypto in one platform with low commissions and zero commission on stocks and crypto. Built for traders who think in probabilities, tastytrade offers advanced analytics, risk tools, and an AI-powered Search feature. Learn more at In this episode of Eye on AI, Nick Frosst, Co-Founder of Cohere and former Google Brain researcher, explains why Cohere is betting on enterprise AI instead of chasing AGI. While much of the AI industry is focused on artificial general intelligence, Cohere is building...
info_outline
#320 Carter Huffman: Exploring The Architecture Behind Modulate's Next-Gen Voice AI
Eye On A.I.
This episode is sponsored by tastytrade. Trade stocks, options, futures, and crypto in one platform with low commissions and zero commission on stocks and crypto. Built for traders who think in probabilities, tastytrade offers advanced analytics, risk tools, and an AI-powered Search feature. Learn more at Voice AI is moving far beyond transcription. In this episode, Carter Huffman, CTO and co-founder of Modulate, explains how real-time voice intelligence is unlocking something much bigger than speech-to-text. His team built AI that understands emotion, intent,...
info_outline
#319 Subho Halder: Why Traditional App Security Fails in the Age of AI
Eye On A.I.
This episode is sponsored by tastytrade. Trade stocks, options, futures, and crypto in one platform with low commissions and zero commission on stocks and crypto. Built for traders who think in probabilities, tastytrade offers advanced analytics, risk tools, and an AI-powered Search feature. Learn more at AI is changing how software is built, but it is also quietly breaking how security works. In this episode of Eye on AI, host Craig Smith sits down with Subho Halder, co-founder and CEO of Appknox, to unpack a growing and largely invisible risk. AI-powered mobile apps...
info_outline
#318 Olek Paraska: How AI Is Fixing the Biggest Bottleneck in Construction
Eye On A.I.
Construction is one of the least digitized industries in the world, and not because it resists technology. It resists bad technology. In this episode of Eye on AI, Craig Smith sits down with Olek Paraska, CTO of Togal AI, to break down why construction productivity has barely improved in 50 years and why pre-construction is the real bottleneck holding the industry back. Olek explains how most estimating and takeoff work is still done manually, why automating this phase can unlock massive efficiency gains, and how AI works best in construction when it acts as a perception and reasoning layer...
info_outlineTry 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.
Why is AI inference becoming the new battleground for speed, cost, and real world scalability, and how are companies like Clarifai reshaping the AI stack by optimizing every token and every deployment?
In this episode of Eye on AI, host Craig Smith sits down with Clarifai founder and CEO Matt Zeiler to explore why inference is now more important than training and how a unified compute orchestration layer is changing the way teams run LLMs and agentic systems.
We look at what makes high performance inference possible across cloud, on prem, and edge environments, how to get faster responses from large language models, and how to cut GPU spend without sacrificing intelligence or accuracy. Learn how organizations operate AI systems in regulated industries, how government teams and enterprises use Clarifai to deploy models securely, and which bottlenecks matter most when running long context, multimodal, or high throughput applications.
You will also hear how to optimize your own AI workloads with better token throughput, how to choose the right hardware strategy for scale, and how inference first architecture can turn models into real products. This conversation breaks down the tools, techniques, and design patterns that can help your AI agents run faster, cheaper, and more reliably in production.
Stay Updated:
Craig Smith on X: https://x.com/craigss
Eye on A.I. on X: https://x.com/EyeOn_AI