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  • End Time:
  • Day:
    Day 2


With the explosion of data and the proliferation of AI techniques, how does an organization leverage AI to improve products, efficiencies, drive growth, and increase organizational competitiveness?

For companies that are new to leveraging AI, this journey first begins with identifying use cases, the business problems and the relevant AI techniques that can be used to solve those specific business problems. In addition to use case identification is the challenge of driving individual, team, and organizational change.

In this session we will discuss a framework and associated tactics for driving organizational change, using an example of how an Analytics and Data Science team identified and leveraged a Deep Learning technique to discover knowledge that supports Product, Marketing, and Engineering team decision making. Identifying AI use cases is easy. It is driving organizational change and adoption that is hard.

Associated Speakers:

Jules Malin

Director, Data Science & Analytics


Associated Talks:

11:30AM - Day 2

View Driving change and AI adoption in the enterprise

10:20AM - Day 2

View Keynote Panel: Creating a data-driven culture

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