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From Noise to Action - How Agentic AI is Automating the Future of ITOps
Discover how agentic AI transforms ITOps by reducing noise, automating tasks, and accelerating incident resolution with LogicMonitor Edwin AI.
What 80 Years of Coding History Says About AI Tools Today
Explore 80 years of coding evolution to understand whether AI-assisted development represents a true revolution or natural progression in software engineering history.
WhAM - Towards A Translative Model of Sperm Whale Vocalization
Discover how machine learning can decode sperm whale communication patterns and develop translative models for understanding cetacean vocalizations.
Vision AI in 2025
Discover the future of Vision AI technology and its transformative applications across industries in this lightning talk from Roboflow's expert.
Ensuring Data Security in the AI Revolution
Discover strategies for securing AI pipelines and protecting sensitive data from preparation through deployment, covering database protection, leak detection, and regulatory compliance.
Securing AI Identity Sprawl with an Identity Fabric
Discover how to secure AI identity sprawl using identity fabric strategies, covering synthetic identities, non-human actors, and secure-by-design GenAI app development.
Restoring Coral Reefs at Scale - AI and the Next Generation of Conservation
Discover how AI revolutionizes coral reef restoration through innovative conservation techniques and scalable solutions for marine ecosystem recovery.
Useful General Intelligence - Building AI Agents for Computer Tasks
Explore Amazon's approach to building AI agents that can reliably perform computer tasks, featuring Nova Act model and real developer workflows from the AGI SF Lab.
Vibes Won't Cut It - The Role of Context in Production-Grade Software Engineering
Discover why intuitive "vibe coding" fails in production environments and learn how proper context drives successful software engineering practices beyond just writing code.
Practical Tactics to Build Reliable AI Apps
Discover practical tactics to transform unreliable AI prototypes into production-ready applications with proven evaluation methods and real-world deployment strategies.
Infrastructure for the Singularity
Discover how AI agents are evolving from experimental tools to practical coworkers, exploring new infrastructure needs for RL training, test-time scaling, and deployment solutions.
Agents vs Workflows - Why Not Both? Combining AI Development Approaches
Explore why the agents vs workflows debate misses the point and discover how to effectively combine both approaches for better AI system architecture.