Generative AI: Boosting Self-service Analytics and Bridging the Data Divide by Karthikeyan Ilangovan

Generative AI: Boosting Self-service Analytics and Bridging the Data Divide by Karthikeyan Ilangovan
By Karthikeyan Ilangovan
Join Karthikeyan Ilangovan as he delves deeper into the transformative role of Generative AI in self-service analytics, focusing on its potential to democratize data analysis and close the data literacy gap. As businesses increasingly rely on data-driven decisions, the need for broader data proficiency becomes crucial.
Generative AI offers innovative solutions by enabling non-experts to generate sophisticated data models and insights through intuitive interfaces and natural language processing. This session will cover the latest technological advancements in Generative AI, showcase real-world applications, and provide strategies for implementing these tools to enhance data fluency across the organization.
Karthikeyan will provide valuable insights into how Generative AI can empower teams to independently extract actionable insights, foster a culture of informed decision-making, and drive organizational success. Join him to explore how embracing Generative AI in analytics can turn every team member into a data-savvy decision-maker, significantly enhancing business agility and competitiveness.
About the Speaker

Karthikeyan Ilangovan, Head of Business Intelligence, Neiman Marcus
Karthikeyan Ilangovan is a distinguished expert in data analytics and business intelligence with 15 years of experience transforming Fortune 100 companies like Capital One, Altice, J.P. Morgan Chase, and Neiman Marcus into data-driven enterprises. He has led teams across diverse domains, including Business Insights, Data Governance, and Data Science, adopting various organizational models. Karthikeyan helps companies monetize data and establish Analytics Centers of Excellence. Beyond his corporate achievements, he contributes to the community by sharing his expertise through articles, conferences, and mentoring. He serves as a Board Member and Technology & Research Director at ESAL, advises the University of Wisconsin’s Computer Science program, collaborates with the Dallas Innovation Advisory Council, and writes for various publications.
