Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...
One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...
Prior Labs has achieved another industry first, scaling its tabular AI foundation model, TabPFN, to 10 million data points – a 1,000x leap in under a year GERMANY ...
Now that SAP TechEd Berlin and ASUG Tech Connect '25 are history, let's ask the tough question: did SAP differentiate on SAP AI? As I've written, differentiating on AI is hard: Most enterprise vendors ...
Your best data science team just spent six months building a model that predicts customer churn with 90% accuracy. It’s sitting on a server, unused. Why? Because it’s been stuck in a risk review queue ...
Abstract: COVID-19 prognosis using clinical tabular data faces significant challenges due to missing values and class imbalance issues. Existing methods often overlook the complex high-order ...
The storm’s likely path is coming into focus, but a lot can still change. Here’s what the forecasters look at. By Judson Jones Judson Jones is a reporter and meteorologist at The Times As Erin moves ...
Microsoft is moving more of the data governance workload to users, but says that this will lead to greater accountability and transparency. Microsoft Fabric users will soon face more work to set up ...
The last time I analyzed SAP's AI strategy, I laid out Seven burning questions about AI that SAP should address. Were they addressed at Sapphire Orlando? I wrote about that here: SAP Sapphire 2025 - ...
There is palpable excitement surrounding generative AI and agentic AI as organizations see the potential to boost revenues and reduce costs. Generative AI has already shown outcomes in areas of ...
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