Nobody believes that every AI project succeeds. Just ask MD Anderson. Anderson blew $60 million on a Watson project before pulling the plug. That project was a clown show. A report published by University of Texas auditors found that project leadership: Did not use proper contracting and procurement procedures Failed to follow IT Governance processes for project approval Did not
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Break rules. That is the first principle of good writing. Conventional style and predictable prose will bore your audience. There is no greater sin. You think I don’t know the difference between good and well, and this blog will be a train wreck. Or you think the headline is a joke, and this blog will be fun to read. Either way,
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Last week’s post on SAS provoked numerous comments on this blog, and over on Hacker News. Here are some excerpts. I’ve edited for length and grammar. Feel free to read the originals. SAS employee Scott Mongeau writes: Journeying through the vast graveyard of open source vanity projects I come in on as a mop-up-agent on in any given month, one
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Adapted from a post originally published on the Cloudera VISION Blog. If your organization collects data about citizens of the European Union (EU), you probably already know about the General Data Protection Regulation (GDPR). GDPR defines and strengthens data protection for consumers and harmonizes data security rules within the EU. The European Parliament approved the measure on April 27, 2016.
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As we welcome the New Year — belatedly — I want to extend many thanks to those who read the scribblings on this blog. I’m particularly grateful for the great response to my recent four-part review of the year in machine learning and deep learning. Looking out over the next several months, some exciting long-form stories are coming: the SQL-in-Hadoop
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ML/AI 