Highlights from the Strata Data Conference in London 2019

Watch highlights from expert talks covering machine learning, predictive analytics, data regulation, and more.

By Mac Slocum
May 1, 2019
London skyline - Strata London 2019 London skyline - Strata London 2019

People from across the data world came together in London for the Strata Data Conference. Below you’ll find links to highlights from the event.

Making the future

James Burke asks if we can use data and predictive analytics to take the guesswork out of prediction.

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Finding your North Star

Cait O’Riordan discusses the North Star metric the Financial Times uses to drive subscriber growth.

Making data science useful

Cassie Kozyrkov explains how organizations can extract more value from their data.

Sustaining machine learning in the enterprise

Drawing insights from recent surveys, Ben Lorica analyzes important trends in machine learning.

Privacy, identity, and autonomy in the age of big data and AI

Sandra Wachter argues that a right to reasonable inferences could protect against new forms of discrimination.

Building data science capacity in your organization

Shingai Manjengwa shares insights from teaching data science to 300,000 online learners.

Combining creativity and analytics

David Boyle shares lessons on how analysts can harness data and creativity to build partnerships.

The enterprise data cloud

Mick Hollison explains why hybrid and multi-cloud will help organizations capitalize on the potential of machine learning and AI.

Rise of the (advertising) machines

Mike Tidmarsh looks at how data and AI are radically reshaping the world of marketing communications.

The unstoppable rise of white box data

Chris Taggart explains the benefits of white box data and outlines the structural shifts that are moving the data world toward this model.

Post topics: AI & ML, Data
Post tags: O'Reilly Radar Analysis

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