The Data Exchange Podcast

🎗️ AI Agents Are Implemented, Not Adopted ⌛️ Long-running AI agents need orchestration: checkpoints, replay, retries, state management, and human-in-the-loop 🔎 Hamza Tahir on Kitaru by ZenML — the open source runtime for long-running Python agent https://lnkd.in/gVigKHv4

Announced AI Capacity May Not Become Real Capacity 👀 What does "capacity" actually mean? When it comes to data centers it can mean anything from an option to buy land to an active server rack. Investors should look closely at what is actually being built 🔎 https://lnkd.in/gTVbktSH

Why Announced AI Data Centers May Never Get Built 🎯 Much of the AI buildout runs on debt, long-term leases, and commitments tied to a pipeline that is more announced than built. 👉 https://lnkd.in/gTVbktSH

🆕 Tech people know the data center backlash exists, but most assume the campuses will get built on schedule. That assumption is looking shakier by the day. 🙌 https://lnkd.in/gTVbktSH

Specialized Models Are Rewriting the Enterprise AI Playbook 🎯 The enterprise AI stack is getting more specialized. General LLMs are useful, but they were not built for every table, transaction, and telemetry stream. New foundation models are targeting the data layer where business actually happens → https://lnkd.in/gPnPitQP

Ethics.Dev 💥 Tracking the Costs, Risks, and Rules of AI https://ethics.dev/

How to Build and Test Reliable Multi-Agent Systems 🎧 Multi-agent systems are harder to evaluate than you think. Information leakage, shared memory, long-horizon reasoning, error attribution ✨ Zhou (Jo) Yu of Arklex AI unpacks the real challenges. https://lnkd.in/gBUxh3qY

From Chat to Prediction: Where Enterprise AI Is Heading 🎯 The next wave of enterprise AI is not just better chat. It is models that understand the structured, transactional, and telemetry data behind real business operations. That is where specialized foundation models are starting to break through. → https://lnkd.in/gPnPitQP

How to Know Your AI Agent Is Ready to Deploy 🎧 Manual testing of AI agents doesn't scale. Zhou (Jo) Yu of Arklex AI explains why simulation-based evaluation is the rigorous alternative. Ship with evidence, not hope.  https://lnkd.in/gBUxh3qY

How Specialized Models Are Rewriting the Enterprise AI Playbook 🎯 The enterprise AI stack is getting more specialized. General LLMs are useful, but they were not built for every table, transaction, and telemetry stream. New foundation models are targeting the data layer where business actually happens → https://lnkd.in/gPnPitQP