Eye On A.I.

Karl Friston, a leading neuroscientist and chief scientific officer at Verses, unveils his groundbreaking Free Energy Principle. He discusses how this principle could reshape AI by integrating active inference to create systems that learn like brains rather than merely predicting outcomes. Friston explains the importance of explicit uncertainty, which can significantly reduce errors in high-stakes situations. The conversation touches on Axiom, a new architecture that allows efficient learning and adapts through interaction, revolutionizing applications in logistics and robotics.

Hemant Banavar, Chief Product Officer at Motive, and Ryan Paulson, CIO at Fusion Site Services, dive into how AI and telematics are revolutionizing fleet safety. Banavar discusses the importance of high-precision AI for accident prevention and reducing false alerts. Paulson shares Fusion's remarkable achievement of a 98% reduction in unsafe events after adopting Motive's systems. They also explore strategies for gaining driver adoption, the necessity for robust benchmarking, and the potential for AI to improve safety and ROI across industries.

Fred Laluyaux, CEO and co-founder of Aera Technology, dives into the transformative power of Decision Intelligence (DI) and AI agents in modern enterprises. He highlights how organizations are shifting from traditional methods to systems that autonomously sense, decide, and act. Laluyaux discusses the core components of a Decision Intelligence stack, the importance of decision memory, and the metrics that matter for measuring impact. He also touches on the challenges of adoption and building trust in data, positioning DI as the backbone of self-driving businesses.

Jacob Buckman, an AI researcher and co-founder of Manifest AI, discusses rethinking AI memory and context. He explores the limitations of current transformers with long inputs, introducing the Power Retention model that offers efficient context management. Jacob explains how this new architecture enhances recall and reduces the need for frequent fine-tuning. He also touches on practical applications, such as retrieval agents and the potential for personal AIs that remember user context over time, while emphasizing the importance of open-sourcing this groundbreaking technology.

Ryan Kolln, CEO of Appen, discusses the critical role of human evaluation in training AI models. He explains why traditional benchmarks fall short, emphasizing the need for user-centered measures. Kolln highlights how curated human evaluators provide richer insights than random feedback, ensuring AI's cultural relevance through localized data. He also covers the evolution from supervised learning to large language model evaluations, and the synergy between AI evaluators and human annotators in enhancing quality control and model performance.

In this discussion, Jeff Lunsford, CEO of Tealium and an expert in customer data, delves into how agentic AI will revolutionize digital interactions. He highlights the importance of real-time first-party data for AI models, emphasizing privacy and consent across channels. Lunsford explains the concept of agentic commerce, predicting a dramatic increase in digital engagements by 2030. He also discusses the need for businesses to build 'agentic front doors,' embedding governance and compliance into AI processes to ensure safe and effective transactions.

Yeop Lee, Head of Product at Coxwave, shares insights on the Align analytics platform that evaluates conversational AI. He discusses moving beyond traditional accuracy metrics to focus on user satisfaction and task completion. Yeop explains how Align combines LLM-based judgments with human reviews and highlights the importance of continuous evaluation across high-volume conversations. He also talks about the platform's flexibility with deployment options and how it differentiates itself through personalized analytics and market adaptability.

In this engaging conversation, Fergal Reid, Chief AI Officer at Intercom and a PhD in machine learning, discusses the challenges of traditional chatbots and introduces Finn, an advanced AI agent designed for customer support. He explains how Finn handles complex tasks like refunds and returns while seamlessly integrating with existing systems. Fergal also highlights the importance of metrics like resolution rate and offers insights on effectively onboarding AI solutions. Their approach balances configuration with a standardized core, ensuring reliability across multiple communication channels.

Bhaskar Roy, a seasoned product leader at Workato, discusses the evolution of the agentic enterprise. He reveals how organizations can shift from AI experiments to effective implementations, emphasizing governance and security. The conversation dives into Workato's solutions, like Workato Go, which integrates AI agents seamlessly into daily operations. Bhaskar shares insights on defining KPIs for agents, preventing sprawl, and optimizing software usage. He predicts rapid adoption of these technologies, urging businesses to prioritize long-term strategies for success.

In this discussion, Greg Shewmaker, CEO of R.Potential and a pioneer in digital workforce solutions, shares insights on integrating agentic AI into enterprises. He emphasizes the importance of a partnership between humans and AI, detailing how to avoid common pitfalls in AI adoption. Greg advocates for agile experimentation through spin-outs to quickly adapt to evolving technologies. He also introduces the concept of a Chief Potential Officer to enhance workforce profiling, highlighting that successful AI implementation hinges on C-suite leadership and strategic planning.