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Mastering the Unknown: Uncertainty Modeling in AI for Critical Safety

Analytics Vidhya

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.

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Navigating Today’s Data and AI Market Uncertainty


It’s more important than ever to think long-term about the analytics partnerships you forge. Are you choosing technologies that will stand the test of time? Are you choosing companies with proven track records?


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Forecasting uncertainty at Airbnb

O'Reilly on Data

Continue reading Forecasting uncertainty at Airbnb. Theresa Johnson outlines the AI powering Airbnb’s metrics forecasting platform.

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How customers can save money during periods of economic uncertainty

CIO Business Intelligence

Saving money is a top priority for many organizations, particularly during periods of economic uncertainty. Today, security, networking, and IT teams are faced with reduced headcount, shrinking budgets, and the very real need to do more with less.

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ABM Evolution: How Top Marketers Are Using Account-Based Strategies

In times of economic uncertainty, account-based strategies are essential. According to several business analysts and practitioners, ABM is a necessity for creating more predictable revenue. Research shows that nearly three-quarters of marketers (74%) already have the resources needed to build successful ABM programs.

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Measuring Models' Uncertainty: Conformal Prediction


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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Regulatory uncertainty overshadows gen AI despite pace of adoption

CIO Business Intelligence

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.

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Complimentary Gartner Report: Improve S&OP Decision Making with Scenario Planning

But with uncertainty on the rise, they need to build more flexibility into their process to account for changing business conditions. Traditionally, planning teams have aimed for one number, one plan. It’s time to shift gears and embrace variability with different scenarios.

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Implementing Supply Chain Network Design

Rising volatility and uncertainty have changed that. How do you find the optimum balance? That’s what Supply Chain Network Design is all about. Traditionally, supply chain network design has been done on a one-off or project basis. This guide offers hands-on advice that will help you use network design to achieve successful results.

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The New GTM Playbook: 18 Ways to Future-Proof Your Sales Team

Economic uncertainty. Longer sales cycles. Increasingly discerning buyers. More meetings. Intensifying competition. Go-to-market teams of every size, in every industry, are grappling with these challenges firsthand. Thankfully, there’s an answer.

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Easily Build an Optimization App and Empower Your Data

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. Don't let uncertainty drive your business. Watch this exclusive demo today!

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A Deep Dive Into Supply Chain Strategy: Why Yours Isn't Working

Speaker: Michelle Meyer, Founder and CEO of MatterProviders

In this exclusive webinar, she will explore ways to develop and perfect your new, innovative supply chain design in this post-pandemic era of economic uncertainty. Fortunately, she's here to walk you through the future of supply chain strategy and why your current approach is probably not working.