#PredictiveAI projects generally fail because they aren’t navigated toward explicit business value. Gooder AI changes that by empowering #datascientists and stakeholders to *valuate* AI models. See how to do so on XGBoost & scikit-learn models youtube.com/watch?v=EPYcHa… #MLvaluation

#MachineLearning Week is just 3 weeks away: June 2-5 in Phoenix. Check out the rich program, covering #predictiveAI, #genAI, how to combine the two, and much more machinelearningweek.com/wp-content/upl… #MLweek

AI is in trouble. Both #generativeAI and #predictiveAI face crippling limitations that compromise their value. The solution? #GenAI helps predictive AI and vice versa. Read my latest in Forbes, "5 Ways To Hybridize Predictive AI And Generative AI" forbes.com/sites/ericsieg…

#PredictiveAI fails because it isn't navigated toward business value. Gooder.ai changes that by empowering #datascientists & stakeholders to *valuate* #MLmodels and interactively visualize deployment options. How to fine-tune #MLvaluation: youtube.com/watch?v=D-V1Gr…

The most underutilized – yet shockingly simple – way to multiply #predictiveAI's value: Instead of driving decisions with the raw model score, drive decisions with the EXPECTED VALUE. This video illustrates the breakthrough & provides how-to instructions youtube.com/watch?v=ROEik8…

To perform #MLvaluation, your cosmetic setup is key to both understanding and sharing with others. Here's how to configure Gooder.AI to fully align with each #predictiveAI project. youtube.com/watch?v=kH_tUd…

Gooder.AI is the only OTS solution for navigating biz considerations when establishing the #decisionthreshold for #predictiveAI deployment. But... you mostly view the decision *boundary*, not the decision threshold. So how do the two relate? youtube.com/watch?v=J5ya8U…

Most #predictiveAI projects neglect to estimate the potential profit – a practice known as #MLvaluation – and that spells project failure. Read my latest in Forbes for the how-to: forbes.com/sites/ericsieg…

How can your organization use machine learning for successful AI projects? Eric Siegel, Ph.D. joined Myles Suer to break it down! Step 1️⃣ - Prepare the data Step 2️⃣ - Train the model Step 3️⃣ - Deploy it Want more actionable steps for integrating AI into business? Watch their

AI success requires a defined playbook. 📔 Eric Siegel, Ph.D joined Myles Suer to explain how BizML works in practice. Watch the full episode here ▶️ infy.com/4kUrsw6 Eric Siegel

What is a #profitcurve and why do all #predictiveAI projects need one? Watch this short video for a quick overview, illustrated with examples: youtu.be/aGPsN-GAKhA&li… #MLvaluation

Here's why it's absolutely critical to estimate the business value of #predictiveAI – *before* you deploy it – rather than sticking with only the standard technical metrics (like accuracy, precision, recall, and AUC). youtu.be/BYu3R7AWQcU&li… #MLvaluation

Establishing the potential business value of #machinelearning models is absolutely critical – so why do #datascientists so rarely do it? Watch this short video for the answer to this damn good question: youtu.be/RtXpyx4vOx4&li… #MLvaluation

𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈 𝐈𝐬 𝐓𝐡𝐞 𝐍𝐞𝐰 𝐕𝐚𝐩𝐨𝐫𝐰𝐚𝐫𝐞. The hype term “#agenticAI” repackages pie in the sky #AI ambitions, but does not allude to any particular advancement that might achieve them. Read my latest in Forbes: forbes.com/sites/ericsieg…

Want to get your #MLmodels deployed? Watch this demo of Gooder.AI see 1) how to strike a balance between competing #KPIs in the deployment of #predictiveAI and 2) how to deal with uncertainty in KPI calculations in the first place. youtu.be/jqkTONuTt8g&li…

Gooder.ai provides unique, crucial visibility into your #predictiveAI project's potential business value – so that your deployment will realize that value. Watch this quick overview to see how easy it is to get started hands-on youtu.be/FGMmQvtn3CI&li… #MLvaluation

The Gartner #HypeCycle normalizes an irrational, costly industry habit: misleading hype. And when it comes to #agenticAI, the overpromising is worse than ever. Read my latest in Forbes: forbes.com/sites/ericsieg…

Data science is great at generating value. That being said, there's a lot of value that has already been generated, and that needs to be captured. Eric Siegel (Eric Siegel) spoke at length about the state of data science and AI with Myles Suer for our AI Insights series.

AGI is 1,000+ years away and all the overpromising #AIhype is going to cost us – yet #predictiveAI and #genAI, both valuable in their own rights, have even more potential when combined. It was a pleasure appearing on "The Only Constant" with Lasse Rindom. linkedin.com/pulse/68-ease-…

In this 2-minute clip, I clarify why #predictiveAI – aka #predictiveanalytics – will always be important and valuable, no matter how good genAI gets. For the full podcast interview: linkedin.com/pulse/68-ease-…