Data Decisioning
@datadecisioning
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Why data? Good outcomes depend on good decisions, which depend on good data. The decision value chain is giving up its secrets. Let's have fun figuring out how.
Denver, CO
Joined September 2017
.@didiebon of @HarvardBiz 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
The most under-appreciated reason that digital transformations fail is by going too big, too fast. There’s a learning curve to digital transformation, and most companies need to walk before they can...
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@jamescham 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.
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@dez_blanchfield @AndyThurai @joemckendrick @HarvardBiz @rwang0 @mthiele10 @LouisColumbus @tcrawford @bimedotcom @jenstirrup 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 @avicgoldfarb, @joshgans & @professor_ajay. https://t.co/LBTDKGHe7h…
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TODAY! Join @jamet123 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: https://t.co/MGskPBwIKT
#decisionmgt #automation #customerexcellence
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Apropos of the current reveal on how #AI depends on #human #interpretation, f/2019 on @datadecisioning re: "labelling the artefacts of human existence": https://t.co/WG9xMJd8sL Full article f/@factordaily, @murali_anand: https://t.co/Pm5Yp77wCh
#magicalthinking #work #wages
archive.factordaily.com
As the first generation of such work that was mainly crowdsourced gave way to more advanced requirements, companies such as Infolks, iMerit and Playment have come up catering to global clients and...
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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"
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Why is decision modeling so important to digital transformation? Listen to this answer from @jamet123 of @decisionmgt
#digitaltransformation #machinelearning #decisioning #decisionsfirst
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"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]
#AI and Industrial Automation: Don’t Count the Incumbents Out! https://t.co/IIblwScMoO
#MachineLearning #ArtificialIntelligence
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Why is decision modeling so important to digital transformation? Listen to this answer from @jamet123 of @decisionmgt
#digitaltransformation #machinelearning #decisioning #decisionsfirst
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How is decision modeling critical to digital transformation? Listen to this quick answer from @jamet123. To check out the latest training and workshops from @decisionmgt, click here: https://t.co/zICCCUdX47
#digitaltransformation #digitaldecisioning #decisionsfirst #ai
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Sign up today for our upcoming training classes: NEW this year, Operationalizing ML with DMN & returning favorite, Decision Modeling with DMN Click here to register: https://t.co/hGXuLplLip
#ai #digitaldecisioning #decisionsfirst #dmn #ml #decisionmgt
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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.
The *Top 3* Backlash to Techlash Narratives of 2021 (#2) - You’re doing it all wrong: Notes on criticism and technology hype @STS_News
https://t.co/1QZ5GxMMzt
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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. https://t.co/6dH5Lj3lp3
fastcompany.com
Compared to their predecessors, today’s hottest technologies haven’t had anything like the impact you might guess.
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Pursuing #digitaltransformation? Read this in @FastCompany by @STS_News (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.)
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. https://t.co/6dH5Lj3lp3
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We recently wrote up our take on the latest @McKinsey article on Next Gen Credit Decisioning - hope you'll check it out! @psb_dc @ViragConsulting @Nicolas2Pinto @AdrianSaville
https://t.co/wBYOzaFTtF
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@emollick "...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?
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@conjugateprior @emollick @schnizzl 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. https://t.co/CifQGUaBdB
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https://t.co/wBBwQDpe8R "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 @TheHDSR 😃
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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” https://t.co/TDNMfezY4J
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