Data Science: You Don’t Always Have to Follow the Herd
Just because your competitors are falling over each other in hiring data scientists doesn’t mean you have to grab the next one that walks in off the street. Stephen Gatchell, head of data governance at Bose Corporation, says that organizations must first figure out...AI, Data Science Harnessed in the Fight Against Opioid Abuse
Every 22 days, the number of people killed in the US by opioid-induced overdoses exceeds the number of people killed in September 11, 2001 attacks by Al-Qaeda in New York and Washington D.C. Meanwhile, the Council of Economic Advisers reported in November 2017 the...Stop Hoarding: Machine Learning Can Help Prune Your Data At Its Source
They say you can never be too rich or too thin (don’t know about that!) but you can definitely have too much data. If your firm is accumulating more data that you can process, then you must reconsider your data management strategy. Data storage cost money and hoarding...Franken-Algorithms: When Code Takes on a Life of Its Own
Some algorithms look dangerously similar to that monster stumbling around England… Andrew Smith writes in The Guardian: “Here’s the problem. Between the “dumb” fixed algorithms and true AI lie the problematic halfway house we’ve already entered with scarcely a...Missing: Statistical Due Diligence in Big Data Analysis
Big data has the answers. Lots of good ones, and lots of bad ones, too. Sometimes separating the wheat from the chaff requires disciplines from outside the realm of data science. Bill Luker writes in the Predictive Analytics Times: Big data is and has been less easy...Listen to Our Civic Development Podcast!
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