Analytics Vidhya
DECEMBER 21, 2023
This article explores ‘Uncertainty Modeling,’ a fundamental aspect of AI often overlooked but crucial for ensuring trust and safety. Introduction In our AI-driven world, reliability has never been more critical, especially in safety-critical applications where human lives are at stake.
Dataiku
OCTOBER 16, 2020
For designing machine learning (ML) models as well as for monitoring them in production, uncertainty estimation on predictions is a critical asset. It helps identify suspicious samples during model training in addition to detecting out-of-distribution samples at inference time.
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CIO Business Intelligence
AUGUST 24, 2023
It’s no surprise, then, that according to a June KPMG survey, uncertainty about the regulatory environment was the top barrier to implementing gen AI. So here are some of the strategies organizations are using to deploy gen AI in the face of regulatory uncertainty. Companies in general are still having problems with data governance.”
CIO Business Intelligence
DECEMBER 1, 2023
Saving money is a top priority for many organizations, particularly during periods of economic uncertainty. Yesterday’s hub-and-spoke networks and castle-and-moat security models were adequate when users, applications, and data all resided onsite in the corporate office or data center.
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Rising volatility and uncertainty have changed that. Companies are now running models on a quarterly basis, and sometimes more frequently, to adjust to changes in their business landscape. Analysts who are moving from spreadsheets to more advanced modeling tools. That’s what Supply Chain Network Design is all about.
Jedox
APRIL 16, 2020
Dean Boyer as a guest to the Jedox Blog for our series on “Managing Uncertainty” Mr. Boyer is a Director of Technology Services at Marks Paneth LLP, a premier accounting firm based in the United States. He shares his expertise on how an EPM solution supports managing economic uncertainty, particularly in times of crisis.
Jedox
APRIL 21, 2020
Swift changes are forcing management to rethink operating models. In the face of unprecedented uncertainty, the question is how to quickly evaluate risk, opportunities and competitively allocate capital. This requires modeling, not casual empiricism. In the face of uncertainty, investor relations are paramount.
Speaker: Gertjan de Lange
If the last few years have illustrated one thing, it’s that modeling techniques, forecasting strategies, and data optimization are imperative for solving complex business problems and weathering uncertainty. Experience how efficient you can be when you fit your model with actionable data. Watch this exclusive demo today!
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