As artificial intelligence (AI) and analytics accelerate, the challenge isn’t just adopting today’s technologies, it’s preparing for what’s coming next.
Organizations must design frameworks and architectures that stay flexible enough to adapt to new technologies, shifting regulations, and evolving business models, all while delivering value in the present.
In this session, Emanuel Bettelheim, head of data and analytics platforms at Bloomberg, discusses developing composable, modular architectures for long-term flexibility, embedding agentic AI into workflows responsibly and at scale, and leveraging semantic layers and privacy-preserving AI for secure interoperability.