David Anderson explains his "Value Flywheel Effect" framework, a model for continuous cloud modernization that joins business and technology strategy. He details how creating psychological safety, a robust serverless-first technology strategy, and a focus on system design over code builds the necessary momentum and shared context to harness future technologies like AI effectively.
Bryan Catanzaro, NVIDIA's VP of Applied Deep Learning Research, explains the business rationale behind developing open models like Nemotron. The strategy is twofold: to drive internal systems R&D for future hardware and to support the broader AI ecosystem, which in turn expands NVIDIA's market.
Ethan Mollick, author of "Co-Intelligence", discusses the necessity for US firms to reignite their experimental approach to management to successfully adopt AI. He introduces his "Leadership, Lab, and Crowd" framework for fostering internal innovation and cautions against over-reliance on external consultants and opaque vendor solutions, urging companies to empower their "secret cyborgs" to drive productivity.
In this live podcast episode, a panel of AI founders and investors unpacks the '2026 AI Market Outlook & Playbook.' They share practical strategies for startups to achieve real-world traction, focusing on the shift from experimental AI to outcome-driven agentic systems. Key topics include building multimodal experiences, the importance of a proprietary 'validation layer,' mastering customer pain points for growth, and the ethical responsibility of building the next generation of AI.
Daren Fields, Co-Founder & CEO of Virtual Select, discusses the future of manufacturing, emphasizing the role of AI as a tool for human augmentation, not replacement. He explores how to modernize manufacturing by combining a carbon-based workforce with silicon-based systems to prevent defects, reduce costs, and de-risk execution.
The host of the AI Daily Brief, NLW, shares initial findings from a self-reported study of over 2,500 AI use cases across enterprises. The analysis moves beyond the 'AI bubble' narrative to uncover where organizations are genuinely finding value, detailing ROI distribution by company size, role, and use case, and highlighting the surprising impact of agents and risk reduction applications.