Keynote: Thriving in the Age of AI
summary
Claims and measurable examples drive the decision: ChatGPT hits 100 million users in one year; Walmart projects +$20 billion from AI supply‑chain work; Pfizer cuts a slow step by 67% and makes 20,000 extra doses; MIT finds breast cancer signals five years early with 90% five‑year survival. Practical tooling and mitigations named: Microsoft Copilot/gen‑agent architecture, RAG grounding, rate limiting, JIT access, MFA, SDLC, EDR, patching, logging, human‑in‑the‑loop and validation to defend against prompt injection and feedback poisoning.
AI-written summary · about
chapters (17)
- 0:00Introduction
- 1:03Transportation to AI revolution
- 3:38AI adoption speed
- 7:37AI adoption fears
- 10:51AI trust lessons
- 12:19Securing AI systems
- 14:05Microsoft Copilot architecture
- 17:39Prompt injection attacks
- 20:27Mitigating prompt injection
- 22:59Collusion risks
- 24:47Ethical AI measures
- 26:55Regulatory compliance
- 29:22AI for cybersecurity
- 31:54Future of AI agents
- 33:38Trust in AI agents
- 35:44Edge computing and SLMs
- 36:28AI will not replace human intelligence
related talks
49mKeynote: Operations and AI with Jen Krieger
48mPractical Strategies for Successful AI Adoption in your Organisation
48mOperationalizing AI Across the Enterprise
01h 11mKeynote - Securing AI: Building Trust in the Era of AI
24mKeynote - The AI Playbook For Companies
01h 01mKeynote: Guardians of the AI Era: Navigating the Cybersecurity Landscape of Tomorrow
01h 12mKeynote: The Age of Agents
13mAI as a Strategic Asset: Building Competitive Advantage