February 21, 2016

Employers are now hiring health analytics firms to mine "big data" about you to predict your health and make workplace decisions. This includes where and how you shop, where and what you eat, where you play, whether and when you vote, and the prescription drugs you use - and combine it with your personal health data. There is serious doubt about the accuracy of such predictions. In the future more relevant smart data from in-body sensors combined with genetic information will provide much more accurate personal health predictions. But that day has not arrived yet and using "big data" to make dubious health predictions is terrifying. Is there no reasonable zone of privacy anymore?

DSA members get a discount for Neo4j training in Denver March 14, 2016 from 9:00 AM to 5:00 PM. You'll learn all the getting-started basics, including data import and creation, basic modeling, and querying. Learn about graph databases and use cases and Neo4j's powerful query language Cypher - and how it can drastically improve your connected data problems. Register here with code "neo100" for a $100 discount.

Download Chapter 1 "Spark + Graphs" here from Michael Malak's new book "Spark GraphX In Action" .

Events

Event: Psychiatry Meets Big-Data - Tel Aviv, Israel - February 29, 2016.

Event: Turning Consumer Data to Competitive Advantage  - Oxford, UK - February 29, 2016.

Event: Intro to Machine Learning with H2O and Python - Denver, CO - March 1, 2016.

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