HFS Webinar: Emerging tech predictions: What Silicon Valley builds today, enterprises face tomorrow скачать в хорошем качестве

HFS Webinar: Emerging tech predictions: What Silicon Valley builds today, enterprises face tomorrow

The pace of innovation is accelerating so fast it opens a speed-trust gap between what leading-edge tech start-ups are bringing to market, and what enterprises are capable of ingesting. Waiting for change to happen to you is a sure-fire way to fall behind. This webinar equips business leaders with insight from the heart of Silicon Valley – home to 72% of all global investment in AI. What The Valley does now, you’ll do next. Grounded in our first-hand experience of the Bay Area’s AI start-up ecosystem, this session allows you to see round the corner. What you’ll learn The AI-led tech-arbitrage race to Services-as-Software™ is real and it’s disrupting every process and every industry. In this session, you’ll gain practical insight into how these shifts are unfolding and what they mean for enterprise leaders. You’ll gain insights on: Impermanence as a design principle. When change is the only constant and the pace keeps accelerating, learn how to adapt the way you build and maintain code, products, services, and even organizations. This is where the enterprise debt cycle begins to break. The rise of vertical AI. Discover how deep expertise, trusted relationships, and real-world context can outperform even the most heavily funded frontier LLMs. The efficiency inflection. From alternatives to scaling laws and the return of reinforcement learning to the push toward smaller language models at the edge, explore what Silicon Valley’s renewed focus on efficiency rather than raw power signals for the future of AI. Physical AI. For those who fear the AI bubble may burst, the next wave is already forming. Welcome to next-best-atom. As AI moves from the digital world into the physical one, what will this shift mean for your business? We are all founders now. Thousands of first-time entrepreneurs are leaving great jobs and top universities because it’s never been easier, faster, or cheaper to turn ideas into companies. Learn how to harness this founder mindset within your own organization. Closing the speed-trust gap: Understand how to plan for faster innovation ingestion without sacrificing governance, confidence, or control. Why attend Reduce change-order friction and unlock co-innovation through adaptive governance. Learn how to stop accumulating technology and process debt—and start designing for continuous change. Gain foresight to challenge and reshape your technology roadmap and business strategy. Understand what effective innovation pipelines and an AI-augmented workforce now demand from enterprise leaders. Chapters 00:00 — Welcome & housekeeping 00:42 — Why Silicon Valley, and what’s in the deck 03:08 — The shift from labor arbitrage to “services as software” 05:15 — A simple metric: humans-in-the-loop vs. software doing the work 07:10 — Why Silicon Valley matters: concentration of talent, capital, and speed 10:28 — How does Silicon Valley compare to Texas/China ecosystems? 11:30 — The “speed–trust gap” and why lag is now risky 14:06 — What enterprises must do now: avoid lock-in, modular architectures, contracting shifts 16:14 — Multi-agent systems: from experiments to production at scale 21:51 — Vibe coding: why it matters, what’s holding enterprises back 27:22 — Why coding matters to the flywheel (AI improving code and itself) 29:05 — The rise of “solo founders” and what enterprises should learn from it 32:41 — Vertical AI: making AI pragmatic, contextual, and ROI-driven 35:44 — Efficiency breakthroughs: more intelligence per dollar/watt 41:55 — Physical AI: robotics data, what’s real today, and what’s next 47:02 — Time check + AGI: what it means practically for enterprises 52:20 — Governance: shifting from automation to innovation 55:57 — Key takeaways 57:24 — Q&A: US vs. rest-of-world enterprise adoption; challenges and playbooks 01:01:56 — “Introvert with AI” — can this happen anywhere, not just Silicon Valley? 01:03:35 — Closing