.Didier Bonnet of Harvard Business Review states, “The key to more successful digital transformation is to not skip ahead.” Recognizing the learning curve in #DigitalTransformation and setting realistic expectations is critical. What have you learned in your experience? hbr.org/2022/09/3-stag…

James Cham It's almost uncanny how the #HypeCycle and the #TechnologyAdoptionCurve mash up so easily. But this matching pattern is not accidental - the two curves refer to the same underlying #diffusion process, although from different angles. Think of hype positively as social #signalling .

What's #maintenance got to do with #AI & #machinelearning ? A lot.

Dez Blanchfield ( sociaall.com ) Andy ThurAI #Atlassian #Team24 Joe McKendrick Harvard Business Review R “Ray” Wang 王瑞光 #AI #1A R.NFT Mark Thiele he/him LouisColumbus Tim Crawford BusinessIntelligence Jennifer Stirrup #MBA Topics: #AI #Data #Strategy Coincidentally just today the best book on the #business #meaning of #AI technology has just been released: 'Power and #Prediction - The Disruptive #Economics of Artificial Intelligence' by Avi Goldfarb, Joshua Gans & Ajay Agrawal.

twitter.com/JohnHMorris/st…

TODAY! Join boboy123 today at 2pm ET // 11am PT for a 30 minute discussion on how to deliver customer excellence in a complex, multi-channel world with #decisionsfirst
Link to join: ow.ly/GU6w50IMISF
#decisionmgt #automation #customerexcellence

Apropos of the current reveal on how #AI depends on #human #interpretation , f/2019 on Data Decisioning re: 'labelling the artefacts of human existence': bit.ly/3uT4PRk

Full article f/FactorDaily, Anand Murali: archive.factordaily.com/indian-data-la…

#magicalthinking #work #wages

I am really excited to share our CHI paper that Nithya Sambasivan led (and first author) titled 'The Deskilling of Domain Expertise in AI development' static1.squarespace.com/static/5a728d5…

Why is decision modeling so important to digital transformation? Listen to this answer from boboy123 of DecisionMgtSolutions

#digitaltransformation #machinelearning #decisioning #decisionsfirst

'Those companies that can figure out how to leverage their deep industry knowledge with the power of machines will bring about ‘the revenge of the 100-year firm’.” [from book under review]

Why is decision modeling so important to digital transformation? Listen to this answer from boboy123 of DecisionMgtSolutions

#digitaltransformation #machinelearning #decisioning #decisionsfirst

How is decision modeling critical to digital transformation? Listen to this quick answer from boboy123.

To check out the latest training and workshops from DecisionMgtSolutions, click here: bit.ly/3GPAg2L

#digitaltransformation #digitaldecisioning #decisionsfirst #ai

Sign up today for our upcoming training classes: NEW this year, Operationalizing ML with DMN & returning favorite, Decision Modeling with DMN

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#ai #digitaldecisioning #decisionsfirst #dmn #ml #decisionmgt

Best start for 2022 around tech: a behind-the-scenes dissection of the who & why of hype. (Because, feeling hyped up doesn't lead to good investments.)

Also I'm happy about no longer having to feel guilty about not reading that light-on-evidence book on Surveillance Capitalism.

Jeffrey Funk and I had a new piece go up on Fast Company yesterday, 'We’re living in an age of big tech promises and small results.' We use data on market size as yet another indicator to examine hype vs reality around recent technologies.

fastcompany.com/90708339/were-…

Pursuing #digitaltransformation ? Read this in Fast Company by Lee Vinsel (Lee Vinsel) & #JeffreyLeeFunk !

Lots of numbers about #innovation theatre. But after the show is over? 🤕

At least the article entertaining! And with a few hints on what works. (Think slow, think details.)

We recently wrote up our take on the latest McKinsey & Company article on Next Gen Credit Decisioning - hope you'll check it out! Theodora (Theo) Lau - 劉䂀曼 🌻 Mark Virag Nicolas Pinto Adrian Saville
ow.ly/plat50HgS3b

Ethan Mollick '...a sample size of 10...' Yikes! It's odd how infrequently the phrase 'random sample' shows up in discourse about big population trends, e. g. Covid, or around AI based on huge volumes of data. Good sampling requires domain knowledge. Over-confidence in policy maybe?

Will Lowe Ethan Mollick Julia Partheymüller From 2018, here's our short lay-person's intro to Prof. Xiao-Li Meng's (@XiaoLiMeng1) article on the dangers of #bigdata .

Know the power of random sampling vs the allure of census. Understand the importance of domain knowledge. Make better decisions.

datadecisioning.com/2018/10/12/big…

rdcu.be/cCQ4E 'Unrepresentative big surveys significantly overestimated US vaccine uptake' My first Nature article (hopefully not the last😀). Grateful to co-authors, editors & reviewers for an intensive experience, and for inspirations on further improving Harvard Data Science Review 😃

Wow! Big data loses dramatically to good data: “a survey of 250,000 respondents can produce an estimate of the population mean that is no more accurate than an estimate from a simple random sample of size 10… data quality matters more than data quantity” nature.com/articles/s4158…