Disease prediction using the world’s largest clinical lab data set
Cristian Capdevila explains how Prognos is predicting disease.
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Beyond interactive: Scaling impact with notebooks at Netflix
Michelle Ufford shares how Netflix leverages notebooks today and describes a brief vision for the future.
Machine learning and AI technologies and platforms at AWS
Dan Romuald Mbanga walks through the ecosystem around the machine learning platform and API services at AWS.
Jupyter in the enterprise
Luciano Resende explores some of the open source initiatives IBM is leading in the Jupyter ecosystem.
5 automation trends in software development, quantified
Lessons from hundreds of development practice assessments across the industry.
Design patterns for orchestrating collaborative groups
It’s only when you enable people to “do things” together that the real power of online social networks is unleashed.
Great products begin with great cultures
Why hiring a team diverse in perspective and background leads to a great culture.
Enabling reliable, secure collaboration on data science and machine learning projects
A conversation with Paul Taylor, chief architect in Watson Data and AI, and IBM fellow.
Site reliability engineering (SRE): A simple overview
Get a basic understanding of site reliability engineering (SRE) and then go deeper with recommended resources.
It’s time to establish big data standards
The deployment of big data tools is being held back by the lack of standards in a number of growth areas.
Notes from the first Ray meetup
Ray is beginning to be used to power large-scale, real-time AI applications.
Best practices to achieve balance between design and performance
Ways to bring designers and developers together to optimize user experience.