Highlights from Strata Data Conference in London 2017
Watch highlights covering data-driven business, data engineering, machine learning, and more. From Strata Data Conference in London 2017.
Experts from across the data world came together in London for Strata Data Conference. Below you’ll find links to highlights from the event.
Using AI to create new jobs
Tim O’Reilly delves into past technological transitions, speculates on the possibilities of AI, and looks at what’s keeping us from making the right choices to govern our creations.
- Watch “Using AI to create new jobs.”
The science of visual interactions
Miriam Redi investigates how machine learning can detect subjective properties of images and videos, such as beauty, creativity, and sentiment.
- Watch “The science of visual interactions.”
Machine learning is a moonshot for us all
Darren Strange asks: What part will we each play in what is sure to be one of the most exciting times in computer science?
What Kaggle has learned from almost a million data scientists
Anthony Goldbloom shares lessons learned from top performers in the Kaggle community and explores the types of machine-learning techniques typically used.
Another one bytes the dust
Using the music industry as an example, Paul Brook shows how modern information points bring new data that changes the way an organization will make decisions.
- Watch “Another one bytes the dust.”
The data subject first?
Aurélie Pols draws a broad philosophical picture of the data ecosystem and then hones in on the right to data portability.
- Watch “The data subject first?“
Real-time intelligence gives Uber the edge
M. C. Srivas covers Uber’s big data architecture and explores the real-time problems Uber needs to solve to make ride sharing smooth.
Lessons from piloting the London Office of Data Analytics
Eddie Copeland explores how the London Office of Data Analytics overcame the barriers to joining, analyzing, and acting upon public sector data at city scale.
Accelerate analytics and AI innovations with Intel
Ziya Ma outlines the challenges for applying machine learning and deep learning at scale and shares solutions that Intel has enabled for customers and partners.
Enabling data science in the enterprise
Mike Olson explains how the UK’s Office of National Statistics is using data science to create repeatable, accurate, and transferable statistical research.
Is finance ready for AI?
Aida Mehonic explores the role artificial intelligent might play in the financial world.
- Watch “Is finance ready for AI?“
Peeking into the black box: Lessons from the front lines of machine-learning product launches
Grace Huang shares lessons learned from running and interpreting machine-learning experiments.