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December 5-6, 2016: Training
December 6–8, 2016: Tutorials & Conference
John Akred

John Akred
CTO, Silicon Valley Data Science

Website | @BigDataAnalysis

With over 15 years in advanced analytical applications and architecture, John Akred is dedicated to helping organizations become more data driven. As CTO of Silicon Valley Data Science, John combines deep expertise in analytics and data science with business acumen and dynamic engineering leadership.


1:30pm–5:00pm Tuesday, December 6, 2016
Becoming a data-centric company
Location: 308/309 Level: Intermediate
John Akred (Silicon Valley Data Science), Scott Kurth (Silicon Valley Data Science)
Average rating: ***..
(3.75, 4 ratings)
Big data and data science have great potential for accelerating business, but how do you reconcile the business opportunity with the sea of possible technologies? Data should serve the strategic imperatives of a business—those aspirations that will define an organization’s future vision. Scott Kurth and John Akred explain how to create a modern data strategy that powers data-driven business. Read more.
11:15am–11:55am Wednesday, December 7, 2016
Spark & beyond
Location: 321/322 Level: Non-technical
John Akred (Silicon Valley Data Science)
Average rating: ***..
(3.22, 9 ratings)
Spark is white-hot, but why does it matter? Some technologies cause more excitement than others, and at first the only people who understand why are the developers who use them. John Akred offers a tour through the hottest emerging data technologies of 2016 and explains why they’re exciting, in the context of the new capabilities and economies they bring. Read more.
1:45pm–2:25pm Wednesday, December 7, 2016
Location: Table B
John Akred (Silicon Valley Data Science)
Stop by and talk with John Akred if you want to build a strong data strategy. Read more.
5:05pm–5:45pm Wednesday, December 7, 2016
Becoming a data-centric company
Location: 328/329 Level: Intermediate
John Akred (Silicon Valley Data Science)
Average rating: *****
(5.00, 1 rating)
The unique properties of data make it difficult to assess its overall value using traditional valuation approaches. John Akred discusses a number of alternative approaches to valuing data within an organization for specific purposes so that you can optimize decisions around its acquisition and management. Read more.