People from across the data world came together in New York for the Strata Data Conference. Below you'll find links to highlights from the event.
Preserving privacy and security in machine learning
Ben Lorica offers an overview of recent tools for building privacy-preserving and secure machine learning products and services.
The future of data warehousing
Executives from Cloudera and PNC Bank look at the challenges posed by data-hungry organizations.
- Watch "The future of data warehousing."
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.
AI, ML, and the IoT will destroy the data center and the cloud (just not in the way you think)
DD Dasgupta covers 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.
- Watch "AI, ML, and the IoT will destroy the data center and the cloud (just not in the way you think)."
The missing piece
Cassie Kozyrkov explores why businesses fail at machine learning despite its tremendous potential and excitement.
- Watch "The missing piece."
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.
The power of Ethereum
Joseph Lubin explains how Ethereum can help with new innovations like cryptocurrencies, automated and self-executing legal agreements, and self-sovereign identity.
- Watch "The power of Ethereum."
Sound design and the future of experience
Amber Case covers methods product designers and managers can use to improve interactions through an understanding of sound design.
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.
Practical ML today and tomorrow
Hilary Mason explores the current state of AI and ML and what’s coming next in applied ML.
- Watch "Practical ML today and tomorrow."
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.
Julia Angwin discusses what she's learned about forgiveness from her series of articles on algorithmic accountability and the lessons we all need to learn for the coming AI future.
- Watch "Quantifying forgiveness."
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.
Brain-based human-machine interfaces: New developments, legal and ethical issues, and potential uses
Amanda Pustilnik highlights potential applications of data from new technologies that capture brain-based processes.
- Watch "Brain-based human-machine interfaces: New developments, legal and ethical issues, and potential uses."
The data imperative
Ben Sharma shares how the best organizations immunize themselves against the plague of static data and rigid process
- Watch "The data imperative."
Black box: How AI will amplify the best and worst of humanity
Jacob Ward reveals the relationship between the unconscious habits of our minds and the way that AI is poised to amplify them, alter them, maybe even reprogram them.