Wolfram Alpha, Why Don’t We Love You More?

The uber-data search and manipulation tool WolframAlpha just licensed some of it’s content to Bing, probably to boost its use.  This site is truly a Swiss army knife of cutting large swaths of public data, mashing it up with your own data, and doing even more useful things with it. It has limitations, and some of the data isn’t as up to date as you’d really want, but, still it’s just good stuff.  For example, I typed in “median wage of California Nurses”, and it gave me an analysis of RN’s in Cali. That’s a game changer. Maybe not today, but tomorrow.

So to my question. Why don’t we love you more Alpha? Your ratings tanked after a few days.  I don’t go there often. Is Wolfram like the 5 miles we should ride daily, don’t, and just feel guilty about?

Check this screen shot below and tell me if you have a POV on the love-giving?

wolfram

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Jeremy Shapiro is an executive in HR at a leading financial services firm, working on talent analytics. Formerly a Senior Vice President of the Hodes iQ Talent Management Suite at Bernard Hodes Group and is a co-author of the HR metrics book Ultimate Performance. Jeremy has coached hundreds of companies in recruiting and HR technology solutions across industries and sizes. Jeremy is a frequent speaker and author on HR technology topics and HR Business Intelligence topics, such as SHRM, IHRIM, the Human Capital Institute, HR.com and more. He is a frequent contributor to articles and whitepapers on HR Business Intelligence. Jeremy holds a Masters of Science in Information Systems from NYU and a B.A in Economics from Rutgers University. Specific topics of research include HR metrics, talent management technology, and next generation recruiting technologies.

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One comment on “Wolfram Alpha, Why Don’t We Love You More?
  1. Rob says:

    Thanks for the introduction to Wolfram’s Alpha! I’ve told several others about the site too. It’s brilliant!

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Talent metrics and human capital analytics galore.                                                                        

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