Become an AI-Native Data Leader

Melissa leads AI transformation for data insights and UX at Salesforce, where she focuses on global enablement strategy and innovation. She specializes in applying AI to improve how organizations find, use, and act on data. She holds a Master's degree and is an active member of the Salesforce Trailblazer community.

Ieshika leads Data Science for e-commerce at Walmart Global Tech, where she applies AI and data science to product discovery, recommendations, and customer experiences at one of the world’s largest retailers. Her work spans predictive modeling, personalization, responsible AI, and data-driven decision-making, with a focus on building AI systems that are effective, transparent, and scalable.

Femi Idowu is a Cloud Solutions Architect for Data and AI at Microsoft, based in Zurich. He helps organisations get value from data and AI in the cloud. His background includes data warehouse and business intelligence engineering roles at several technology firms. He has spoken at global summits on industrial AI and smart manufacturing. He holds a Master's degree in Cybersecurity and Forensics.

Hussnain is the co-founder and Chief AI Officer at ekai, a platform that turns your analytical data and expert knowledge into business context for AI. He leads AI strategy and development, where he built the AI-first principles that power the platform's "Business Data Lab" approach. He brings over 20 years of experience architecting data strategies and introducing AI operations to technology teams. At ekai, his work enables business analysts and analytics engineers to build data models without relying on IT.