Practical AI for Efficiency

This program provides a practical and modern foundation in applied AI, blending accessible technical explanations with hands-on demonstrations of automation and real-world use cases.

Participants explore a range of applied capabilities, including how to identify the right tasks for automation, when to deploy agentic workflows, and how to structure work so humans and AI systems complement one another effectively. The session covers how to leverage data for advanced analysis, how to design intelligent processes that scale, and how to recognize the jagged edge of AI intelligence—where systems perform exceptionally well and where they fail in predictable ways. These topics are introduced through practical exercises and demonstrations that help participants build confidence using AI in real workflows. From automating routine tasks to augmenting complex analytical work, the session illustrates how AI can radically increase productivity across diverse roles.

By connecting concepts from classical machine learning, data analytics, and modern Generative AI, participants gain a cohesive understanding of how these technologies fit together—and how to deploy them responsibly, efficiently, and at scale within their organizations.

Professionals in any industry who want to explore and gain knowledge about artificial intelligence.