Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA
Ken Johnston

Ken Johnston
Principal Data Science Manager, Microsoft

Website | @rkjohnston

Ken Johnston is the principal data science manager for the Microsoft 360 Business Intelligence Group (M360 BIG). In his time at Microsoft, Ken has shipped many products, including Commerce Server, Office 365, Bing Local and Segments, and Windows, and for two-and-a-half years, he was the director of test excellence. A frequent keynote presenter, trainer, blogger, and author, Ken is a coauthor of How We Test Software at Microsoft and contributing author to Experiences of Test Automation: Case Studies of Software Test Automation. He holds an MBA from the University of Washington. Check out his blog posts on data science management on LinkedIn.

Sessions

11:50am–12:30pm Thursday, March 28, 2019
Infinite segmentation: Scalable mutual information ranking on real-world graphs
Data Science, Machine Learning & AI
 Location: 2011
Secondary topics:  AI and Data technologies in the cloud, AI and machine learning in the enterprise, Media, Marketing, Advertising
Ken Johnston (Microsoft), Ankit Srivastava (Microsoft)
Average rating: ****.
(4.50, 2 ratings)
Today, normal growth isn't enough—you need hockey-stick levels of growth. Sales and marketing orgs are looking to AI to "growth hack" their way to new markets and segments. Ken Johnston and Ankit Srivastava explain how to use mutual information at scale across massive data sources to help filter out noise and share critical insights with new cohort of users, businesses, and networks. Read more.
1:50pm–2:30pm Thursday, March 28, 2019
Executive Briefing: The 6 keys to successful data spelunking
Executive Briefing and best practices, Strata Business Summit
 Location: 2020
Secondary topics:  Open Data, Data Generation and Data Networks
Ken Johnston (Microsoft), Ankit Srivastava (Microsoft)
Average rating: ****.
(4.80, 5 ratings)
At the rate data sources are multiplying, business value can often be developed faster by joining data sources rather than mining a single source to the very end. Ken Johnston and Ankit Srivastava share four years of hands-on practical experience sourcing and integrating massive numbers of data sources to build the Microsoft Business Intelligence Graph (M360 BIG). Read more.