Rajeev Roy

Explains the distinction between 'Agentic AI' (systems that take autonomous, goal-directed actions) and individual AI agents, discusses capabilities, limitations, and examples of agentic systems in enterprise contexts.

Discusses the importance of time-to-value and trust when implementing AI in enterprises, outlines best practices (start with constrained problems, invest in data foundations, high-touch implementation) and presents client impact stories.

Explains strategies and benefits for modernizing legacy applications using Azure PaaS, covering scalability, high availability, DevOps, containerization, and common PaaS use-cases.

Overview of data governance concepts, components of a governance framework, data catalog importance, policies, and privacy/compliance considerations for organizations becoming data-driven.

Practical guidance on how to avoid common failures in data projects by starting from business objectives, running data strategy workshops, and creating aligned Data & AI roadmaps to maximize return on data initiatives.