Session: Beyond the Hype: Preparing Data Systems for Real-World AI Applications
AI is only as good as the data it runs on. This talk cuts through the buzzwords to focus on what truly matters: building data systems that deliver real-world AI results.
Key highlights:
How to design modular, flexible pipelines that adapt to new AI demands.
The critical role of data observability and KPIs in maintaining quality and reliability.
Practical strategies for integrating legacy systems and managing diverse data types.
Real-world examples of how organizations transformed their data to power AI success.
Bio
Darshana is a seasoned technology leader with over 18 years of experience spanning industry and consulting. As a hands-on technologist, she specializes in legacy modernization, data and AI product development, and architecting scalable, future-ready solutions. At BCG, Darshana leads the Architecture Chapter across the EMESA region, driving innovative strategies to transform complex systems into agile, intelligent infrastructures. Her expertise lies in bridging the gap between cutting-edge technology and business impact, making her a trusted advisor to global organizations navigating digital transformation