Sue Green

Data Science Technical Outreach and Evangelism, IBM Data & AI


Sue has brought many new solutions and emerging technologies to market in both large companies and startups, through multiple roles. Her first career in delivering AI and software training led to new opportunities in helping to define expert systems, manage bringing new solutions and products to market, and lead new business areas. Technical engagement has been a core part in all of her roles, including her current position in IBM Data Science Technical Outreach and Evangelism.

Where do Data Science, AI and SW Development converge and diverge?

As technology advances, and learning expands, roles transform. This talk discusses how Data Science and Software Development continue to both blend and diverge when the focus is AI. Change is constant, and it is accelerated by new technology and tools for developers and data scientists, broad availability of education, and the growing demand for applying AI across nearly all industries and the public sector. Join this talk for tips on how to reach these different audiences, today and tomorrow.

This talk will include:
– Who ‘typically’ does what today, and expectations for the future
– Why this is changing: key drivers
– What we are doing to engage these different audiences
– What metrics and agile practices are we using as a small, startup in a big company to measure and report our success, as well as guide and adjust our actions based on results?

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