Floris Hermsen

AI foundations lie in robust, secure, and intelligent data platforms that can fuel innovation while preserving trust and control. In this panel, senior data and AI leaders will explore what it takes to architect enterprise-grade data environments that support high-impact AI products. From governance to business outcomes, this session will unpack the intersection of data architecture and product strategy in the age of AI.

• The critical role of high-quality, actionable data in powering GenAI and AI applications
• Strategies to secure, manage, and maximize the value of enterprise data while preserving privacy and compliance
• Building data platforms that make information findable, accessible, trustworthy, interoperable, and reusable (FAIR)
• Operationalising data governance at scale through automation, policy enforcement, and platform design
• How AI is reshaping product development and business models – and what that means for data architecture going forward

This session from Floris Hermsen, Director of Data Science & AI at Elsevier, explores how to harness and align your existing supplier landscape to drive AI innovation. From integrating across disparate systems to ensuring consistent, high-quality data for intelligent processing, we’ll look at what it takes to turn complexity into competitive advantage.

• Strategies for integrating AI within a diverse supplier ecosystem
• How to align data standards and consistency across platforms
• Enabling intelligent data processing through existing partnerships
• Governance and quality control measures for AI and LLMs
• • Evolving from “human in the loop” to “AI as adjudicator” in complex workflows