Kelsey Hightower and Chris Gaun on serverless and Kubernetes
Exploring use cases for the two tools.
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The secret to great design
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The data imperative
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Derive value from analytics and AI at scale
Ziya Ma discusses how recent innovations from Intel in high-capacity persistent memory and open source software are accelerating production-scale deployments.
Smarter cities through Geotab with BigQuery ML and geospatial analytics
Chad Jennings explains how Geotab's smart city application helps city planners understand traffic and predict locations of unsafe driving.
Wait … pizza is a vegetable? Decoding regulations using machine learning
Dinesh Nirmal explains how AI is helping supply school lunch and keep ahead of regulations.
Why you need customer development
We should invest at least as much time in understanding our customers as we do in optimizing our product development process.
Leveraging the best of the past to power a better future
Drew Paroski and Aatif Din share how to develop modern database applications without sacrificing cost savings, data familiarity, and flexibility.
AI, ML, and the IoT will destroy the data center and the cloud (just not in the way you think)
DD Dasgupta explores the edge-cloud continuum, explaining how the roles of data centers and cloud infrastructure are redefined through the mainstream adoption of AI, ML, and IoT technologies.
The answer to life, the universe, and everything: But can you get that into production?
Ted Dunning discusses how new tools can change the way production systems work.
The real story on container, cloud, and data adoption
Poll results reveal where and why organizations choose to use containers, cloud platforms, and data pipelines.
Customized ML for the enterprise
Levent Besik explains how enterprises can stay ahead of the game with customized machine learning.