Martin Keen explains that context, not model intelligence, is the biggest bottleneck in AI. He introduces Context Engineering, its four pillars (Connected Access, Knowledge Layer, Precision Retrieval, Runtime Governance), and advanced techniques like GraphRAG to build more reliable, context-aware AI systems.
The panel discusses Microsoft's Copilot usage report, the "Ralph Wiggum" prompting strategy for coding agents, the significance of the India AI Impact Summit, and the implications of AI companies advertising during the Super Bowl.
Euro Beinat (Prosus Group) and Mert Öztekin (Just Eat Takeaway.com) discuss the practical challenges of scaling AI, focusing on developer productivity, the role of AI agents in automating the 'long tail' of tasks, and the critical importance of change management and governance to foster an AI-native culture without stifling innovation.
Experts Jeff Crume and Josh Spurgin explore the critical security and governance challenges posed by autonomous AI agents. They detail common threats like prompt injection, data poisoning, and model theft, and discuss governance issues such as bias, transparency, and accountability, providing a set of actionable safeguards to build secure, trustworthy, and compliant AI systems.
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.
This presentation by the Japan Deep Learning Association (JDLA) details Japan's strategy for accelerating AI adoption. It covers the government's strong pro-AI stance driven by demographic challenges, the critical need for corporate AI governance, and the rise of physical AI in robotics. JDLA's core initiatives are highlighted, including the G- and E-Certificate programs for talent development, which are increasingly becoming corporate standards, and the establishment of the AI Robot Association (AIROA) to build a foundational data infrastructure for robotics.