Video: Welcome to the era of intelligent workflows | Duration: 2000s | Summary: Using AI is no longer the bottleneck. Deploying and operating it with trust at scale is.In this opening keynote, Tines CEO Eoin Hinchy explores why intelligent workflows matter now and what the next phase of AI demands from leaders and systems. | Chapters: Welcome to Workflow (22s), Intelligent Workflows Era (62s), The MookWork Problem (107s), The AI Paradox (245s), Shadow AI Risks (421s), Speed vs Control (575s), About Tynes Platform (702s), Production AI Success (908s), Intelligent Workflows (1089s), Scaling AI Adoption (1347s), Internal Transformation (1577s), Closing Remarks (1760s) Video: Secure AI for the real world | Duration: 2746s | Summary: AI makes building look easy. That's the trap. Without a secure, well-designed foundation, workflows break, costs spike, and systems grow fragile.CTOs and CISOs from leading organizations discuss how to build AI-powered systems that hold up at scale. This session goes deep on the real-world tradeoffs between speed, risk, and trust. | Chapters: Welcome and Introductions (15s), AI Journey Begins (174s), AI Adoption Speed (394s), AI Infrastructure and Productivity (528s), AI Enablement Strategy (779s), Human-Side Security Controls (1023s), AI Governance Approaches (1317s), AI Cost Management (1677s), AI-Native Teams (2040s), Mythos and Patching (2381s), Future Security Outlook (2557s) Video: The AI productivity paradox | Duration: 2846s | Summary: More AI activity doesn’t always mean more productivity. Casey Newton, co-host of the Hard Fork podcast at The New York Times and founder of Platformer, examines why organizations often see heavy AI usage without corresponding gains. He’ll explore the promise of AI, why teams fall into AI workslop, and how AI can augment workflows to drive productivity and prosperity. | Chapters: AI Productivity Paradox (9s), AI Performance Paradox (172s), The AI Time Gap (284s), Research Takes Time (372s), Activity vs Results (498s), AI Implementation Challenges (702s), Worker-Manager Disconnect (1030s), AI Brain Fry (1343s), Managing AI Implementation (1658s), Workplace AI Adaptation (2079s), Mastering AI Opportunities (2272s), Managing AI Fatigue (2388s), Conclusion and Outlook (2516s), Winners and Wrap-Up (2763s) Video: Making the case for workflow ROI | Duration: 2783s | Summary: AI-powered workflows require more than technical setup. They require buy-in, change management, and a clear path to value. Leaders from workflow-first product companies share practical strategies for securing exec buy-in, managing change across teams, moving workflows into production, and measuring and communicating ROI. | Chapters: Introduction and Welcome (36s), Building Business Cases (232s), Governance Under Pressure (463s), AI Cost Management (673s), Internal Workflow Automation (929s), IT Support Role (1215s), Measuring AI Impact (1375s), Strategic AI Bets (1667s), Cross-Team AI Learning (1854s), Lessons Learned (2153s), Team Adaptation Challenges (2308s), Career Reflections (2444s) Video: Scaling AI from pilot to production | Duration: 2834s | Summary: Most teams struggle to move beyond AI pilots to enterprise-wide impact.Leaders and practitioners from renowned organizations walk through the AI-powered workflows they've put into practice across IT, security, and operations. They unpack the problem they were solving, the workflows they built, and the business results that followed, including efficiency gains, reduced muckwork, and measurable ROI. | Chapters: Welcome and Introduction (15s), Panelist Introductions (72s), Threat Intelligence Automation (238s), AI Alert Management (331s), AI Governance & Controls (749s), Trust and Guardrails (1141s), Measuring AI Impact (1317s), Measuring AI Impact (2064s), Scaling Agent Responsibility (2311s), Scaling AI Responsibly (2432s) Video: Detangling the complex web of deploying AI agents and agentic systems securely | Summary: The biggest barrier to adoption of Generative AI in organizations is data privacy and security concerns. Securing AI is a complex process that is only growing day by day, from discovery to governance to detection of malicious behavior.To help manage the growing challenge, Forrester created AEGIS, a framework designed to help teams secure, govern, and manage AI agents and related infrastructure. In this talk, we break down how to ensure least agency, secure intent, and implement continuous risk management for continuous assurance so that AI agents are protected and the business is able to innovate faster. | Chapters: AI Security Introduction (15s), Speaker Introduction (42s), AI Agent Adoption (99s), AI Model Threats (180s), Agent Security Risks (302s), Beyond Model Security (414s), Aegis Framework (567s), Model Security Threats (821s), Identity Management (983s), Data Governance (1088s), Application Security (1270s), Infrastructure Defense (1409s), Holistic Security Framework (1613s)