Inside Philips’ Competitive Edge: Trusted Intelligence at Scale

Explore how Philips powers faster, smarter decisions with AI-driven competitive intelligence. Join AlphaSense’s Tasos Beglitis and Laurens van der Hoeven of Philips as they explore how AlphaSense is helping the company deliver precise, high-trust competitive insights across global teams. In the high-stakes world of healthcare, Philips needed a faster, more scalable way to deliver trusted, personalized competitive insights across product lines, regions, and stakeholders. With AlphaSense, Laurens and the MI&A team built a modern intelligence engine that delivers precisely that, empowering smarter decisions with source-backed intelligence at every level. In this session, you’ll learn how Philips is using AlphaSense to: - Produce executive-ready insights in hours, not days. See how Philips went from time-consuming manual workflows to generating customized deliverables in under an hour. - Cut through noise with trusted AI. Discover how AlphaSense Deep Research and generative tools help Philips surface only what matters across clinical, regional, and financial dimensions without sacrificing source transparency or control. - Turn research into strategy. Hear how AlphaSense enables Philips to serve business units, product lines, and commercial functions with tailored insights that fuel smarter decisions and stronger strategic alignment. - Deliver trust built on transparency. See why Philips teams rely on AlphaSense not just for speed but for cited, verifiable intelligence they can act on with confidence. - Envision the next frontier in AI. Laurens shares his vision for what’s next with AlphaSense, where the team is evaluating opportunities to integrate Enterprise Intelligence, integrating internal research with AlphaSense’s external content through a connected layer of AI to power real-time strategic decision-making. Whether you're supporting strategy, competitive intelligence, or commercial decision-making in life sciences, this is a session you won’t want to miss.