Business Analysis for Machine Learning & AI Projects (Part 2)

Business Analysis for Machine Learning & AI Projects (Part 2)

 

This workshop represents Part 2 of the session delivered in October 2025, building on the foundational concepts and moving deeper into practical application and real-world delivery. This session builds on the foundational concepts introduced in the first session and places a stronger emphasis on machine learning in practice.

 

Participants will be guided through a live ML project demonstration, illustrating how business objectives are translated into ML use cases, how data flows through the ML lifecycle, and how outputs are interpreted for decision-making.

 

The session will clearly map the Business Analyst’s role across the ML lifecycle—from problem framing and stakeholder alignment to requirements definition, data considerations, validation, and value realization—providing attendees with concrete tools, examples, and techniques they can immediately apply within their own AI and ML initiatives.

 

Osahon Anegbode is a CBAP-certified Senior Business Analyst, big data analytics professional, and career coach with extensive experience bridging business strategy, data pipelines, and advanced analytics to deliver measurable outcomes.

 

Osahon has trained, mentored, and supported professionals across complex IT environments to succeed in their roles as IT Business Analysts and supporting many in their transition into IT, AI & machine learning (ML) and data analytics-focused careers.

 

With a strong foundation in process re-engineering, system implementation, data analysis, and solution evaluation, Osahon has worked on a wide range of end-to-end IT, systems integration, ML and AI-enabled projects. He operates at the intersection of business and technology, ensuring technology and ML initiatives are grounded in clear problem definition, supported by fit-for-purpose data, and aligned to organizational priorities from concept through delivery and scale.