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.
Learn faster. Dig deeper. See farther.
- Watch “Making the future.”
Finding your North Star
Cait O’Riordan discusses the North Star metric the Financial Times uses to drive subscriber growth.
- Watch “Finding your North Star.”
Making data science useful
Cassie Kozyrkov explains how organizations can extract more value from their data.
- Watch “Making data science useful.”
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.
- Watch “Combining creativity and analytics.”
The enterprise data cloud
Mick Hollison explains why hybrid and multi-cloud will help organizations capitalize on the potential of machine learning and AI.
- Watch “The enterprise data cloud.”
Rise of the (advertising) machines
Mike Tidmarsh looks at how data and AI are radically reshaping the world of marketing communications.
- Watch “Rise of the (advertising) machines.”
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.
