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CASE STUDY: Leverage AI and Machine Learning to Grow New Markets and Optimize Operational Costs

December 9, 2019

Prerequisite: None

Parag Shrivastava

Parag Shrivastava

Senior Director, Enterprise Data Architecture

McKesson Corporation

In a shared economy, customer behavior is fast changing. Business customers (B2B) are demanding insights to better manage their operations, and individual consumers (B2C) are looking for relevant, timely, and easy access to information. AI and machine learning are helping to fulfill these needs while also providing ways to optimize operational costs, thereby making the business profitable.

Learn how insights are incorporated into customer and operational products using design thinking, strategy, and data. Hear about cross-industry use cases, customer-driven design, data engineering, and data science methodologies. Discuss the challenges in making data usable and scalable, as well as practical ways to make progress while keeping the end product goal in mind. Review implementing AI at scale, and bring fail-fast approaches to innovation, while managing cross-functional stakeholders’ expectations.

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