Machine Learning Week
@MLWeekUS
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Come to Machine Learning Week's HYBRID AI 2026 – May 5-6, 2026 in San Francisco, CA. #MLWeek
San Francisco, CA
Joined June 2009
Check out the full agenda for #MLweek's #HybridAI2026 (and register by Friday for the super early bird discount). At this event, we're taking the greatest #AI challenge head-on: closing the gap between AI hype and AI's practical, realized value. https://t.co/ngApc2KZLh
machinelearningweek.com
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Shouldn’t a great model be a sure bet to deploy? The answer is no. Check out this recap of my AI Realized keynote: https://t.co/BXHCutCi0v
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AI is on the cusp of greatness. Positive returns are still few and far between – but the final mile to more universally realized value is in sight. Let's get there together. Come to: ML Week’s HYBRID AI 2026 (May 5-6) https://t.co/eYx6nRABXD
#MLweek
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🌟 Agenda live for ML Week's HYBRID AI in San Francisco - https://t.co/RE6Y0lo1qa Are you at the forefront of machine learning, hybrid AI and predictive analytics? You need to join us for HYBRID AI 2026 in San Francisco, May 5-6. Check out the agenda.
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Here's the new frontier for #predictiveAI: a new kind of ML software for planning, selling, & greenlighting #MLmodel deployment. There's nothing like trying it out yourself. Participate in this popular hands-on @DataCamp webinar – now available on demand. https://t.co/zp2pbAZld8
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45 years ago, Linda Pauling's 7-year-old son Chris, battling leukemia, got his wish to be a @Arizona_DPS police officer. That moment sparked the Make-A-Wish Foundation, healing countless families through hope & generosity. Her powerful story in @Newsweek. ✨Please share if this
newsweek.com
I encourage you to look for opportunities to engage in the kind of collective action that brings people together and spreads joy.
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You can now view, on demand, the @IBM Z Day presentation that I gave last week: "Seven Ways to Hybridize Predictive and Generative AI" https://t.co/DyjE1pX2GJ
#ibmzday
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#PredictiveAI routinely fails to deploy, so #datascientists are spearheading a movement to focus on its #businessvalue. My latest in @Forbes covers 4 common concerns about #MLvaluation and how to address them
forbes.com
Predictive AI routinely fails to deploy, so data scientists are spearheading a movement to focus on its business value. But stakeholders need a better understanding.
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It was a pleasure appearing on "Bringing Data and AI to Life"! Nick is a great host and navigated an expansive discussion of #predictiveAI, #genAI, and how to realize a measurable impact.
Data’s only useful if it’s coherent and pulled together. Tune into the latest episode of Bringing Data and AI To Life as industry expert Eric Siegel shares the secrets behind quality data. Tune in: https://t.co/f5AZ1WOCDk
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#GenAI is super advanced – but it doesn’t replace #predictiveAI, it only augments it. The two will remain intrinsically distinct, even as they’re strategically married. My latests in @Forbes explains why: https://t.co/YCjWC9jK97
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Hype vs. Reality: Predictive vs. Generative vs. AGI Watch full episode: https://t.co/VnAiBIyqPR
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Join us in congratulating, @predictanalytic, author of The AI Playbook: Mastering the Rare Art of Machine Learning Deployment! Eric Siegel has crafted a powerful guide for anyone serious about putting machine learning into action! 🏆 📚 #APEXAwards #PublishingAwards
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𝗖𝗮𝗹𝗹 𝗳𝗼𝗿 𝘀𝗽𝗲𝗮𝗸𝗲𝗿𝘀 𝗮𝗻𝗱 𝘀𝗮𝘃𝗲-𝘁𝗵𝗲-𝗱𝗮𝘁𝗲: In 2026, Machine Learning Week will return to SF as: 𝗛𝗬𝗕𝗥𝗜𝗗 𝗔𝗜 𝟮𝟬𝟮𝟲 – May 5-6 in San Francisco 𝗛𝘆𝗯𝗿𝗶𝗱 𝗔𝗜 is vital for turning AI’s potential into realized value. https://t.co/AJIKr4G3h3
machinelearningweek.com
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#GenerativeAI and #predictiveAI need one another. They're destined to marry because each is suited to address the other's greatest limitations. Read my latest @Forbes article to see how this works:
forbes.com
Generative and predictive AI need one another. They're destined to marry because each is suited to address the other's greatest limitations. Here are two ways.
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The most ideal way to soften the #AIbubble’s looming explosion would be to boost #AI’s realized value. How? A new #reliabilitylayer that tames #largelanguagemodels. Read my latest in @Forbes: https://t.co/miVDZONKGB
#genAI #LLMs
forbes.com
The most ideal way to soften the AI bubble’s looming explosion would be to boost AI’s realized value. How? A new reliability layer that tames large language models.
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5 seconds from now, you could be trying https://t.co/myym0oLz9L hands on, interactively maximizing the value of #machinelearning deployment. With one click, jump into any of 7 projects – #frauddetection, marketing, #creditscoring, #churn, #healthcare, etc
gooder.ai
Try your hand at interactively maximizing the value of ML deployment, across a range of predictive AI projects.
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❣ https://t.co/1wKv73p6jH by @predictanalytic The #AI Playbook offers invaluable insights & practical steps for successful #MachineLearning deployments, proposing bizML as a more current, pertinent, & compelling industry-standard methodology than CRISP-DM.
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$NXXT — IF PRICE HITS $2, HERE’S THE MONEY ON THE TABLE Over 70,000,000 Shares traded last 30 days: Liquidity explodes as price rises. This is how momentum stocks wake up.
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Gooder AI has launched its professional services. Stop letting great #models gather dust. Let's work together to maximize the operationalized value of #predictiveAI – and create compelling biz cases that get your ML projects deployed & delivering value
gooder.ai
Stop letting great models gather dust. Engage the Gooder AI team to maximize the operationalized value of predictive AI – and to create compelling business cases that get your machine learning...
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We need to unf*ck ML. #PredictiveAI offers tremendous potential – but it has a notoriously poor track record. Most initiatives fail to deploy, never realizing value. #GooderAI empowers stakeholders & #datascientists to plan, sell & greenlight deployment.
gooder.ai
Gooder AI empowers stakeholders and data scientists alike to plan, sell, and greenlight predictive AI deployment. It establishes and maximizes the value of each machine learning model in terms of...
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#Datascientists consider #businessmetrics more important than technical #metrics – yet in practice they focus more on technical ones. This derails most #predictiveAI projects. So, why? Check out my latest in @Forbes
forbes.com
Data scientists consider business metrics more important than technical metrics – yet in practice they focus more on technical ones. This derails most projects. So, why?
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