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Eye On A.I.

Eye On A.I.

Auteur(s): Craig S. Smith
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À propos de cet audio

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.Eye On A.I.
Épisodes
  • #283 Andrei Danescu: How Dexory Uses AI & Robotics for Warehouse Management
    Sep 3 2025

    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.

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    (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

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    48 min
  • #282 Chris O’Neill: How GrowthLoop is Using Agentic AI for Real-Time, Personalized Marketing
    Sep 2 2025

    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.



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    53 min
  • #281 Leon Song: The Research Driving Next-Gen Open-Source Models (Together AI)
    Aug 25 2025

    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, we sit down with Leon Song, VP of Research at Together AI, to explore how open-source models and cutting-edge infrastructure are reshaping the AI landscape.

    From speculative decoding to FlashAttention and RedPajama, Leon shares how Together AI is building one of the fastest, most cost-efficient AI clouds—helping enterprises fine-tune, deploy, and scale open-source models at the level of GPT-4 and beyond.

    We dive into Leon’s journey from leading DeepSpeed and AI for Science at Microsoft to driving system-level innovation at Together AI.

    Topics include:

    • The future of open-source vs. closed-source AI models

    • Breakthroughs in speculative decoding for faster inference

    • How Together AI’s cloud platform empowers enterprises with data sovereignty and model ownership

    • Why open-source models like DeepSeek R1 and Llama 4 are now rivaling proprietary systems

    • The role of GPUs vs. ASIC accelerators in scaling AI infrastructure

    Whether you’re an AI researcher, enterprise leader, or curious about where generative AI is heading, this conversation reveals the technology and strategy behind one of the most important players in the open-source AI movement.

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    50 min
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