Charlotte Bemand

Assessing and optimizing the return on investment (ROI) for Generative AI projects is paramount as businesses increasingly invest in this transformative technology.

-       Learning to measure the tangible and intangible ROI factors to justify and enhance generative AI projects.

-       Discovering strategies for aligning Generative AI goals with business objectives and market demands.

-       Gaining insights into continuous monitoring, model refinement, and adaptation to maximize Generative AI project ROI. 

With diverse AI tools proliferating, enterprises face platform sprawl. Charlotte at HBK explores how to create value in a mixed AI economy without losing agility or control.

• Selecting AI tools based on business outcomes

• Ensuring interoperability to avoid lock-in risks

• Balancing innovation with sustainable pricing models

Agentic systems need clean, interoperable data to operate safely. This panel explores how enterprises are adapting architectures and governance to support autonomous decision-making.

• Building data architectures for multi-agent systems

• Enabling real-time orchestration and interoperability

• Embedding governance for safe and auditable operations