Data & Analytics Live schedule

• How AI is reshaping business intelligence and real-time analytics. 

• The rise of decision intelligence and the shift from human-led to AI-augmented decision-making. 

• Key challenges in scaling AI-driven insights across organizations. 

• How organizations are adapting to new AI laws, bias mitigation, and ethical concerns. 

• The business risks of AI non-compliance & lack of governance. 

• Frameworks for responsible AI deployment and transparency. 

Panelists:  

Akhil Khunger, VP of QA Financial Modelling, BARCLAYS 

Chandra Donelson, Space Chief Data & AI Officer, UNITED SPACE FORCE  

• The rise of event-driven architecture & real-time AI insights. 

• Leveraging streaming data for fraud detection, customer personalization, and operational intelligence. 

• Optimizing cloud data pipelines for speed, scale, and cost efficiency. 

• Strategies for ensuring data integrity & security in AI-driven environments. 

• Addressing compliance with global data regulations (GDPR, AI Act, evolving privacy laws). 

• Best practices for managing AI bias, transparency, and explainability. 

• How organizations are integrating LLMs into analytics workflows. 

• Risks of hallucination, misinformation, and security vulnerabilities in GenAI models. 

• Practical applications: Automating reporting, enhancing self-service BI, and AI-driven storytelling. 

• How to balance accessibility with governance & security. 

• Strategies for driving data literacy & adoption across business teams. 

• The impact of AI-powered BI & automation on self-service analytics. 

Moderator: Jasper Cannon, Strategy Expert and Consultant

• Where is data & AI headed? Trends shaping the next 3-5 years. 

• The changing role of Chief Data & Analytics Officers. 

• Actionable steps to future-proof data strategies and drive AI success.  

Join this exclusive boardroom session to explore the next generation of AI architecture shaping the future of enterprise innovation. Hosted by Dell Technologies Capital, this interactive discussion will dive into cutting-edge developments in AI infrastructure, from scalable model deployment to data-centric architecture design. Whether you're optimizing for performance, cost, or compliance, gain insights from industry leaders on how to build and future-proof your AI stack for real-world impact.