Founder of Machine Learning Week, author of "The AI Playbook" and the best-seller "Predictive Analytics," former Columbia U. professor, and Forbes contributor.
SF Bay Area
Joined May 2009
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Read the article "๐ง๐ต๐ฟ๐ฒ๐ฒ ๐๐ฒ๐๐ ๐ฃ๐ฟ๐ฎ๐ฐ๐๐ถ๐ฐ๐ฒ๐ ๐ณ๐ผ๐ฟ ๐จ๐ป๐ถ๐น๐ฒ๐๐ฒ๐ฟโ๐ ๐๐น๐ผ๐ฏ๐ฎ๐น ๐๐ป๐ฎ๐น๐๐๐ถ๐ฐ๐ ๐๐ป๐ถ๐๐ถ๐ฎ๐๐ถ๐๐ฒ๐" by Morgan Vawter, Chief Digital Officer, Unilever, which serves the foreword to my book "The AI Playbook."
predictiveanalyticsworld.comโฆ
Pre-order the paperback of "The AI Playbook" before it drops (3 days from now) and receive the audiobook for free: machinelearningkeynote.com/tโฆ
Why should companies invest at least as much in #predictive AI as #genAI?
How do metrics like precision, recall, accuracy fail to demonstrate financial returns?
Why is my P(doom) is 0?
It was my pleasure appearing on the Ignite podcast with host and accomplished VC Brian Bell.
Your AI model can be 95% accurate and still be too dangerous to deploy.
Eric Siegel (@predictanalytic), co-founder of Gooder AI and author of The AI Playbook, has spent more than 35 years studying machine learning.
We discuss:
โขWhy companies should invest at least as much in predictive AI as generative AI.
โขWhy improving training data often delivers more business value than adding model complexity.
โขHow technical metrics like precision, recall, and accuracy fail to demonstrate actual financial returns.
โขWhy an AI system that's correct 95% of the time can still be commercially unusable.
โขHow predictive reliability layers can identify risky AI interactions and escalate them to humans.
โขWhy Siegel considers AI extinction scenarios another form of technology hype.
"my P doom is zero."
If an AI agent needs human oversight for its riskiest decisions, should we consider that a failure of autonomy or the smarter business model?
๐ง Watch, listen, and follow on your favorite platform: buff.ly/WVYymbO
๐ฌ Join the conversation on your favorite social network: buff.ly/8atYlCQ
๐ Read the full episode breakdown on our blog: buff.ly/W99UUc2
Data teams, stop building #MLmodels that never ship. Stakeholders, stop funding science projects.
Get those predictive decision-making systems deployed.
My book, "The AI Playbook," presents the gold-standard, six-step framework for running predictive AI projects successfully.
Pre-order the paperback in the next four days and get the audiobook for free: machinelearningkeynote.com/tโฆ
Harvard Business Review article that summarizes the bizML framework: predictiveanalyticsworld.comโฆ
An epic battle has erupted between ๐๐ ๐ด๐น๐ถ๐๐ ๐ฎ๐ป๐ฑ ๐๐ ๐๐ฎ๐น๐๐ฒ. ๐๐ตโ๐ด ๐ค๐ฉ๐ช๐ค ๐ท๐ฆ๐ณ๐ด๐ถ๐ด ๐จ๐ฆ๐ฆ๐ฌ.
The sheer usefulness of #predictiveAI holds a seductive appeal of its ownโbut, with the #genAI craze, ๐ถ๐ ๐๐ต๐ฎ๐ ๐ฒ๐ป๐ผ๐๐ด๐ต ๐ณ๐ผ๐ฟ ๐ถ๐ ๐๐ผ ๐๐๐ฟ๐๐ถ๐๐ฒ?
๐ค Made with AI
Read the full article (adapted from the new preface to the paperback edition of "The AI Playbook"): predictiveanalyticsworld.comโฆ
Pre-order the paperback of "The AI Playbook" this week and receive the audiobook for free: machinelearningkeynote.com/tโฆ
10 days remain on this free audiobook offer: Get the audiobook edition of my book "The AI Playbook" for free when you pre-order the new paperback edition, which ships in less than two weeks (with a new preface).
machinelearningkeynote.com/tโฆ
It was a pleasure appearing on "Speak to an Agent." We explored my love/hate with #Jev: 1) our shared great admiration for its offering and how it has made #predictiveAI deservingly hot again, and 0) the intense slickness of its marketing
youtube.com/watch?v=4U-ekqrtโฆ
Listen to the latest episode of "The Dr. Data Show," in which I narrates my article:
#Jev Fever: #PredictiveAI Is Superhot Again
A new breed of models has rejuvenated predictive AI. But successful deployment demands a new business-value playbook.
doctordatashow.com/e/jev-fevโฆ
AI users are pouncing on the new predictive capabilities of #Jev and its competitors. But to make money with Jev, you must also "valuate" it for your project.
forbes.com/sites/ericsiegel/โฆ
Eric Siegel retweeted
AI has become the default answer to every business problem.
@predictanalytic machine learning expert and author of The AI Playbook, says start with the outcome instead.
Out now on Digital Disruption, on all platforms. Link below.
#TechPodcast
Let's discuss the two โwowsโ of AI: impressive demos vs. deployment. We rarely get to the second wow, for either #predictiveAI or #generativeAI.
It was a pleasure appearing on Digital Disruption with Geoff Nielson. Check it out: youtu.be/O26f4PZNWn4
A new breed of models has rejuvenated #predictiveAI. But successful deployment demands a new business-value playbook.
A new industry-darling model called #Jev has caught on like wildfire...
Read the full article, my latest in @Forbes:
forbes.com/sites/ericsiegel/โฆ
On The AI Exchange podcast, I claimed that AI is overvalued by a factor of 10-20, and did my best to back that up! We also discussed #AGI, the difference between #predictiveAI and #generativeAI, and much more. It was a pleasure.
Watch the full episode: youtu.be/PHigwYyBvkg
Listen to the new preface to my book "The AI Playbook":
Predictive AI Thrives, Despite Generative AI Stealing the Spotlight
This is the new preface to the book's paperback edition.
doctordatashow.com/e/genai-oโฆ
My book is coming out in paperback, with a new preface:
๐ง๐ต๐ฒ ๐๐ ๐ฃ๐น๐ฎ๐๐ฏ๐ผ๐ผ๐ธ
๐๐ฏ๐ฅ๐ฐ๐ณ๐ด๐ฆ๐ฅ ๐ฃ๐บ ๐๐ค๐ฐ๐ต๐ต ๐๐ข๐ญ๐ญ๐ฐ๐ธ๐ข๐บ, ๐๐ถ๐ด๐ต๐ข๐ง๐ข ๐๐ถ๐ญ๐ฆ๐บ๐ฎ๐ข๐ฏ, etc.
๐ฃ๐ฟ๐ฒ-๐ผ๐ฟ๐ฑ๐ฒ๐ฟ ๐๐ต๐ฒ ๐ฝ๐ฎ๐ฝ๐ฒ๐ฟ๐ฏ๐ฎ๐ฐ๐ธ ๐ป๐ผ๐: bizML.com
