businessanalytics

[businessanalytics]

maparkerfd20

ND being in the playoff is a friggin joke!

— M Parker (@maparkerfd20) December 29, 2018

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[businessanalytics]

koopa_kinte

This the most Florida shit I’ve ever seen in my fucking life. And I’m saying this as a Floridian. pic.twitter.com/aw2wXyEypp

— koop (@koopa_kinte) December 29, 2018

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[businessanalytics]

“The reason that God was able to create the world in seven days is that he didn’t have to worry about the installed base.” — Enzo Torresi. 1945–2016.

What I Learned Working for Steve Ballmer – Ben Fathi �� Medium

[businessanalytics]

micheeaton

“Growth and comfort do not co-exist.” @GinnyRometty @mish2ne1 #CoSN16 #change #cpchat pic.twitter.com/hC7r9totCr

— Michele Eaton (@micheeaton) April 6, 2016

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[businessanalytics]

They got this one right....

[businessanalytics]

(via Why You Don’t Need Data Scientists – Kurt Cagle – Medium)

[businessanalytics]

We always overestimate the change that will occur in the next two years and underestimate the change that will occur in the next ten. Don’t let yourself be lulled into inaction.

Chatbots were the next big thing: what happened? – The Startup – Medium

[businessanalytics]

fitz4cloud

Ginni Rometty - AI is the new industry inflection point. “Not an era of man vs machine, an era of man plus machine.” #Think18 pic.twitter.com/yUFOeowhBK

— Jim Fitzgerald (@fitz4cloud) March 20, 2018

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[businessanalytics]

cspenn

#smmw18 what to delegates: anything that falls in these three buckets. @ducttape pic.twitter.com/swjOEtMzs2

— Christopher Penn (@cspenn) February 28, 2018

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[businessanalytics]

Cognitive insight. The second most common type of project in our study (38% of the total) used algorithms to detect patterns in vast volumes of data and interpret their meaning. Think of it as “analytics on steroids.” These machine-learning applications are being used to:

3 Things AI Can Already Do for Your Company

[businessanalytics]

Great product and great article. One issue with the graphic... the “Deploy and share” arrow is pointing the wrong way. It needs to point back to the business. This isn’t about tweaking an image - its about the mentality of supporting the business through better science. The best analytics can be wasted with a poor deployment plan or without buy-in from the business.

[businessanalytics]

(via Machine Learning – Can We Please Just Agree What This Means - Data Science Central)