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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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Navigate AI market uncertainty by bringing AI to your data

CIO Business Intelligence

While hyperscalers would prefer you entrust your data to them again the concerns about runaway costs are compounded by uncertainty about models, tools, and the associated risks of inputting corporate data into their black boxes. As a result, organizations migrated workloads to on-premises estates, hybrid environments, and the edge.

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CIOs look to sharpen AI governance despite uncertainties

CIO Business Intelligence

As more generative AI projects move from proof-of-concept to production, CIOs will be shouldering the additional pressure of enacting AI governance policies to protect the enterprise — and their jobs.

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Data Literacy Planning 2024: Adapting to Economic Uncertainty

Aryng

Does it seem like 2024 is starting with more uncertainty compared to previous years? In times of great uncertainty leaders have to scrutinize the investment in strategic initiatives. In times of great uncertainty leaders have to scrutinize the investment in strategic initiatives. Charts like FRED certainly support that feeling.

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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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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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Measuring Models' Uncertainty: Conformal Prediction

Dataiku

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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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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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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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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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.