2026 HSBC Data & AI Innovation Days
San Francisco - September 2, 2026
New York City - September 16, 2026
Paris - September 23, 2026
Featured Speakers
The New Enterprise Blueprint: Scaling AI and Redesigning Data for Business Agility
In an era defined by exponential data growth and AI’s rapid evolution, senior data and AI leaders are under unprecedented pressure—not only to build reliable systems, but to drive strategy, transformation, and competitive edge. The stakes are no longer about keeping up—they’re about staying ahead.
This is not a conference about what’s already happened. It’s a curated, forward-looking experience designed to help you explore what’s next—what infrastructure, talent, ethics, and organizational models will be required to lead in the next chapter of enterprise intelligence.
Join fellow Chief Data & Analytics Officers, Chief AI Officers, Heads of Data Science, and other forward-thinking leaders for a half-day of candid discussion, future-focused insight, and curated connection.
You’ll hear from venture capitalists investing in the frontier of AI, consulting leaders who advise the world’s top firms on transformation, and senior executives who are already building what’s next. You’ll also be matched with startups developing the tools and platforms that will power the next generation of data-driven business.
Whether you’re redesigning your architecture, preparing to scale AI, or rethinking your data governance playbook—this is the room you want to be in.
What to Expect
- Unfiltered Insights from Data & AI Leaders – Hear directly from senior data, analytics, and AI executives on how they’re evolving data architectures, managing governance at scale, and deploying AI to drive real business outcomes.
- Exclusive 1:1 Startup Matching – Meet the most promising disruptors building next-gen data infrastructure—think automated data pipelines, AI model governance, real-time analytics, and intelligent decision platforms—matched to your current tech priorities.
- High-Impact Networking – Build valuable relationships with fellow CDOs, CAIOs, heads of data science, and innovation leaders through curated discussions and a private executive reception.
Topics include
- Preparing for Generative AI at Scale – What infrastructure, governance, and team structures you’ll need to support the next wave of AI-native applications.
- The Future of Enterprise Data Architecture – Moving beyond the modern data stack: how leading organizations are rethinking data flow, ownership, and orchestration for agility and innovation.
- Designing for Real-Time Intelligence – From batch reporting to continuous decisioning: what systems and operating models are required to enable always-on, insight-driven enterprises.
- AI Risk, Ethics & Regulation – What every data leader needs to know (and build) to stay ahead of rapidly evolving expectations around AI transparency, bias mitigation, and compliance.
- The Emerging Role of the CDAO & CAIO – As AI reshapes the enterprise, how will leadership, org design, and strategy need to evolve to stay competitive?
Why You Should Attend
- Stay Ahead of the Curve – Get actionable insights into the technologies, strategies, and org models that will define data and AI leadership over the next 3–5 years.
- Connect with Industry Pioneers – Network with senior data executives, AI investors, and innovators at the forefront of enterprise transformation.
- Discover the Right Tech – Get introduced to curated startups solving real problems in AI development, data management, and applied analytics—matched specifically to your interests.
“Data fuels AI; without data, AI is like a car without gas”
- Fei Fei Li, Stanford Human Centered AI Institute