Leading organizations to become AI-driven, through:
• thought-partnership, strategy, design, and architecture of analytics ecosystems
• technical leadership of AI/ML/Advanced analytics use cases, from exploring the business domain, value at stake, and feasibility, to scoping, to building platforms and data flows, to operationalizing and productionizing solutions
• capability building and apprenticeship in Data, ML, AI - from identifying gaps, to defining roles, to sharing knowledge, to supporting collaboration with technology partners