Tag Archives: book

Subscribe • Previous Issues AI Reliability Patterns That Generalize Beyond Medicine The gap between pilot projects and production deployments has emerged as a defining challenge for enterprise AI teams. Recent surveys indicate that only a small percentage of generative AI initiatives reach full production, with most stalling due to brittle workflows and integration failures. At last year’sContinue reading “Your AI passed benchmarks. Why is it failing in production?”

Subscribe • Previous Issues Boom, Bubble, or Bust? How to Build a Resilient AI Business Comparisons to the dot-com bust are common but this AI boom rests on short-cycle hardware. Frontier training chases each GPU generation, rendering last year’s chips economically obsolete for training even as they stay serviceable for inference — forcing relentless reinvestment. This dynamicContinue reading “How to build an AI business that survives the bubble”

Subscribe • Previous Issues Escaping Prototype Purgatory: A Playbook for AI Teams We’re living through a peculiar moment in AI development. On one hand, the demos are spectacular: agents that reason and plan with apparent ease, models that compose original songs from a text prompt, and research tools that produce detailed reports in minutes. Yet many AIContinue reading “Think Smaller: The Counterintuitive Path to AI Adoption”

Subscribe • Previous Issues How Leaders Are Using RL to Build a Competitive AI Advantage I have long been fascinated by reinforcement learning (RL), but have always viewed it as complex and beyond the reach of most enterprise AI teams. That perception began to shift slightly earlier this year after a conversation with Travis Addair, co-founder ofContinue reading “The data flywheel effect in AI model improvement”

Subscribe • Previous Issues Time Bought, Advantage Lost? The Limits of Semiconductor Sanctions The technological and economic competition between the United States and China has increasingly centered on AI capabilities, with semiconductor access becoming the critical battleground. Since 2022, these export controls have evolved from targeted restrictions to a complex regulatory regime with far-reaching implications. I haveContinue reading “Why AI Efficiency Outruns Hardware Shortages”

Subscribe • Previous Issues Taming the Wild West of AI Agents: Addressing the Challenges of Real-World Deployment AI agents are autonomous systems that combine language (and multimodal) understanding with the decision-making prowess of foundation models to interpret complex inputs, reason through multifaceted scenarios, and execute tasks autonomously. The business landscape is abuzz with excitement, as industry analystsContinue reading “From Prototype Purgatory to Production-Grade AI Agents”

Subscribe • Previous Issues Bridging the Gap: Multimodal Data Processing for Generative AI By Ben Lorica and Dean Wampler. In the rapidly evolving landscape of Generative AI, one of the most critical, yet often underestimated challenges is data processing and preparation. While models have become more sophisticated, the data pipelines feeding them have not kept pace, especiallyContinue reading “Paradigm Shifts in Data Processing for the Generative AI Era”