Partner im RedaktionsNetzwerk Deutschland

Eye On A.I.

Craig S. Smith
Eye On A.I.
Neueste Episode

Verfügbare Folgen

5 von 285
  • #286 Ram Venkatesh: How to Build, Operate & Scale Enterprise AI Agents (Sema4.ai)
    Discover how Sema4.ai is redefining enterprise AI with a platform built to help businesses build, operate, and scale SAFE AI agents. In this conversation, CTO and co-founder Ram Venkatesh explains why simply generating insights isn’t enough and why enterprises need AI that can act on those insights reliably, securely, and at scale. If you want to understand the future of agentic AI and how to safely scale AI across your organization, this episode is a must-watch. Stay Updated:Craig Smith on X: https://x.com/craigssEye on A.I. on X: https://x.com/EyeOn_AI (00:00) The Data-to-Action Gap (00:38) Ram’s Big Data Background (03:22) Why RPA Failed & Agents Win   (04:39) Conversational Agents vs Manual Workflows   (06:28) The Power of a Semantic Layer   (08:20) Runbooks: Capturing Intent, Not Just Steps   (11:16) Connecting Data Across Systems   (15:12) How Sema4.ai Keeps AI Secure   (17:37) From 20 to 2,000 Agents: Scaling the Fleet   (20:20) Choosing the Right Agent Platform   (26:22) Process Architects: The New Role in AI   (29:00) Why Finance & Healthcare Lead in Adoption   (30:04) Sema4.ai’s Pricing & Adoption Playbook   (41:29) Scaling Faster with Snowflake Deployment   (43:10) ISVs & Domain Experts as Agent Builders  
    --------  
    46:53
  • #285 Raj Koneru: How Kore.ai is Building No Code Enterprise-Grade Agentic AI
    Enterprise AI Agents for Work, Service and Process: www.kore.ai Kore.ai founder and CEO Raj Koneru breaks down how enterprises are moving beyond chatbots into agentic AI that actually ships. We get into the no-code tooling behind multi-agent workflows, agentic RAG, guardrails that keep outputs in scope, and why a control layer for governance is now essential. Raj shares real scale numbers, the three Kore.ai product lanes for customer and employee experience, and how partnerships with Microsoft and AWS let teams build where they already run. If you care about building secure, explainable AI agents that integrate fast and scale cleanly, this one is for you. Stay Updated: Craig Smith on X:https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI (00:00) Raj Koneru’s Journey & The Birth of Kore.ai (03:10) From Chatbots to Enterprise-Grade Agents(06:33) Security, Scale & Proof in the Market(07:04) What Agentic AI Really Means(12:16) Building & Governing AI Agents(17:26) Kore.ai’s Product Lines & Differentiation(20:22) Industry Applications & Case Studies(28:17) User Experience & Change Management(34:46) Governance, Identity & Cost Controls(39:56) Adoption Timelines & Market Outlook(43:51) Roadmap & Partnerships(47:38) Future of the Enterprise AI Landscape
    --------  
    52:01
  • #284 Pat Utz: Inside Abstract, The AI That Decodes Laws and Regulations
    What if AI could decode government in real time? In this episode of Eye on AI, Craig Smith sits down with Pat Utz, CEO and Co-Founder of Abstract, the AI startup building “regulatory superintelligence” to track and analyze laws, bills, and regulations across 145,000+ government entities. Pat explains how Abstract evolved from university research into a venture-backed company helping law firms, enterprises, and policymakers cut through the noise of Congress, state legislatures, and regulatory agencies. From uncovering hidden amendments in massive bills to proactively identifying risks and opportunities for businesses, Abstract is transforming how we understand legislation. We cover: How AI is reshaping lobbying, law, and compliance Why Abstract is focused on proactive intelligence, not reactive compliance The role of AI agents, LLMs, and retrieval-augmented generation (RAG) in policy analysis Real examples of AI influencing funding and legislation The future of democracy when citizens and businesses have true transparency into government Whether you’re in tech, law, government affairs, or just curious about how AI is changing democracy, this conversation reveals the future of policy intelligence. 🔗 Learn more about Abstract: https://www.abstract.us
    --------  
    47:32
  • #283 Andrei Danescu: How Dexory Uses AI & Robotics for Warehouse Management
    What if your warehouse could see everything, all the time? In this episode of Eye on AI, we sit down with Andrei Danescu, CEO & Co-Founder of Dexory, to explore how AI and robotics are transforming logistics. Andrei shares his journey from Formula 1 engineering to building one of the fastest-growing robotics companies in Europe. He explains how Dexory’s autonomous robots and real-time digital twins are giving warehouses unprecedented visibility, cutting errors, boosting efficiency, and even turning storage into a profit driver. We cover: Why warehouses struggle with visibility and how AI solves it The role of autonomous robots in scanning 10,000+ pallet locations per hour How digital twins unlock optimization in space, flow, and production Dexory’s vision for the future of supply chains across Europe and the US The balance between human workers and automation in logistics If you want to understand the future of logistics, warehouse technology, and supply chain visibility, this conversation will give you a front-row seat. Subscribe for more deep dives on AI, robotics, and the future of work.   Stay Updated: Craig Smith on X:https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI   (00:00) Intro (02:08) The Birth of Dexory and Its Mission   (04:23) Building Autonomous Robots and Digital Twins   (08:52) Optimizing Space, Storage, and Traffic Flow   (12:15) DexoryView: The Platform Behind the Robots   (16:03) Humans, Robots, and the Future of Warehouses   (18:54) AI, SLAM, and the Tech Driving Dexory   (23:17) Real-Time Visibility and Error Elimination   (27:31) Multi-Site Insights and Supply Chain Potential   (32:47) Scaling Dexory: Markets, Adoption, and Growth   (37:01) Scanning at Scale: 10,000+ Pallets Per Hour   (41:11) Roadmap: AI Agents, Simulations, and Next Steps   (45:13) A Vision for Global Logistics Networks
    --------  
    48:08
  • #282 Chris O’Neill: How GrowthLoop is Using Agentic AI for Real-Time, Personalized Marketing
    Marketing is changing forever.    In this episode of Eye on AI, host Craig Smith sits down with Chris O’Neill, CEO of GrowthLoop and board member at Gap, to explore how agentic AI and GrowthLoop’s Compound Marketing Engine are transforming the way brands connect with their customers.   Chris shares how GrowthLoop applies AI on top of modern data clouds like Snowflake, BigQuery, and Databricks to automate audience targeting, personalize campaigns in real time, and accelerate experimentation loops.    He explains why speed and iteration matter more than ever, how companies like Allegro doubled their return on ad spend with GrowthLoop, and why the future of marketing belongs to brands that embrace agentic AI.   If you’re a marketer, technologist, or business leader looking to stay ahead in the age of AI, this conversation is packed with practical insights you can’t afford to miss. Stay Updated: Craig Smith on X:https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI
    --------  
    53:13

Weitere Technologie Podcasts

Über Eye On A.I.

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.
Podcast-Website

Höre Eye On A.I., KI - und jetzt? Wie wir Künstliche Intelligenz leben wollen und viele andere Podcasts aus aller Welt mit der radio.de-App

Hol dir die kostenlose radio.de App

  • Sender und Podcasts favorisieren
  • Streamen via Wifi oder Bluetooth
  • Unterstützt Carplay & Android Auto
  • viele weitere App Funktionen
Rechtliches
Social
v7.23.8 | © 2007-2025 radio.de GmbH
Generated: 9/16/2025 - 4:17:43 AM