Remove Forecasting Remove Measurement Remove Testing Remove Uncertainty
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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. Would you put your client’s sales forecast into Facebook?

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How CFOs Can Lead With Foresight

Jedox

The unprecedented uncertainty forced companies to make critical decisions within compressed time frames. The room for poor assumptions and missed forecasts shrank. Using these drivers as an overlay to stress-test models add robustness to forecasting and can identify exposure and risks to long-term stability. Conclusion.

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Trusted AI Cornerstones: Key Operational Factors

DataRobot

You should first identify potential compliance risks, with each additional step again tested against risks. Recognizing and admitting uncertainty is a major step in establishing trust. Like a weather forecast, AI predictions are inherently probabilistic. Interventions to manage uncertainty in predictions vary widely.

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CIOs press ahead for gen AI edge — despite misgivings

CIO Business Intelligence

If anything, 2023 has proved to be a year of reckoning for businesses, and IT leaders in particular, as they attempt to come to grips with the disruptive potential of this technology — just as debates over the best path forward for AI have accelerated and regulatory uncertainty has cast a longer shadow over its outlook in the wake of these events.

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Making Financial Planning a Continuous and Popular Activity

Jet Global

Living through periods of rapid upheaval and uncertainty, like the recent pandemic, forces us to adapt quickly to new working practices. Forward-looking enterprises that are achieving better outcomes have already quickly reworked forecasts on supply chains, materials, and costs. Navigating Your Transition to xP&A.

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Humans-in-the-loop forecasting: integrating data science and business planning

The Unofficial Google Data Science Blog

ln this post he describes where and how having “humans in the loop” in forecasting makes sense, and reflects on past failures and successes that have led him to this perspective. Our team does a lot of forecasting. It also owns Google’s internal time series forecasting platform described in an earlier blog post.

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Leading infrastructure to accelerate electric power intelligence

CIO Business Intelligence

However, new energy is restricted by weather and climate, which means extreme weather conditions and unpredictable external environments bring an element of uncertainty to new energy sources. It was the solution of choice to achieve an observable, measurable, adjustable, controllable and traceable low-voltage side. HPLC can deliver 99.9%