Roger Thomas

Check out my latest article: Do's and Don'ts for Deploying AI: Manage Model Performance linkedin.com/pulse/dos-dont… via @LinkedIn

Excellent intro to #MachineLearning basics. Great visuals make the concepts easy to grasp. ow.ly/jSkZ50uqji8 @r2d3us

This article, published in last month's Manufacturing Leadership Journal, covers the methodology and mindset I recommend for scaling #analytic initiatives in the #manufacturing world. ow.ly/zbCJ30ntXk7

A5: Lots of opportunities to start and grow a career in Manufacturing. The size, scope, and growth of this industry is what makes it a great option with many career paths. #SASChat #Manufacturing

Q4: Just how critical manufacturing is to the economy. In addition to the jobs created, manufacturing has a high multiplier effect in adding dollars to the economy in other sectors. #SASChat #Manufacturing

A2: Software has become pervasive throughout the manufacturing life cycle. But another thought to consider is how critical the manufacturing sector has been for the software the industry... #SASChat #Manufacturing

A2: From source to make to deliver, manufacturing relies on a series of networks and optimizations that software has been able to support. #SASChat #Manufacturing

Looking forward to joinng the #SASChat on #Manufacturing at the top of the hour. bit.ly/2xUoBxo

Thinking of friends & colleagues in the Carolinas this morning... Stay safe! #florencehurricane ow.ly/rwOU30lPMZY

It feels like they've invented new stats to capture the Browns 'suckiness'. My favorite is the CHAOS (Cumulative High-Activity Organizational Strife) Score. I could see that having some applicability in the corporate world. ;) ow.ly/yWu830lHIVO

An entertaining yet disturbing breakdown on how to lie with statistics. Ugh! #DataEthics #DataDredging ow.ly/gYRr30lAS1y

Cautionary points on using a black box approach in #DataScience. "The faster the feedback on prediction accuracy, the blacker the box can be. The slower the feedback, the more your models should be explicit and formal." #MachinelLearning ow.ly/e6mi30lAR7x

Nice preview of SAS Analytics Experience keynotes from @alisonbolen . Love the video clip of world-renowned photographer @platon. #SAS #AnalyticsExperience ow.ly/Gufr30lAToo

Cited research examples of how algorithms are less biased and more accurate than humans. Conclusion... "the next time you read a headline about the perils of algorithmic bias, remember to look in the mirror." #AI #decisionmaking #HBR ow.ly/fDQX30lAQaz

Perspective on on ingraining ethics in the culture of data science with a nod to some manufacturing practices... "We also need space to stop the production line when something goes wrong." #DataScience #Ethics #OReilly ow.ly/YefT30lAGSd

Good perspective on shifting AI empowerment from C-Suite to Front Lines, "It is the democratization of access to AI tools and decision-making power among managers and employees which creates more tangible value" #AI #HBR ow.ly/FZMy30lAFDE

"Unfortunately for today’s cities, cyberattacks are a given." The warning is just as applicable for manufacturers. Check out this worthwhile read on the importance of establishing what "normal" looks like... @smartccouncil #smartcities #security #infosec bit.ly/2K46sFq

Hear how SAS helps manufacturing companies work with AI this week at IndustryWeek MFG & Tech Conf. and next week at Gartner Supply Chain Executive Conf. in Phoenix, AZ. #GartnerSCC #mfgtechshow #IoT #AI #manufacturing #supplychain #connectedfactory bit.ly/2ItjeMP

CIO.com article on why data analytics initiatives fail... "Bringing data together, but not really integrating it" @anne_buff @CIOonline #analytics #data #datamanagement #datagovernance bit.ly/2HM6ZdU

Lighthearted personal story from the holidays with some ties to #SupplyChain, #DemandSensing, and #Analytics. ow.ly/iwmd30hyIQl