Remove Forecasting Remove Modeling Remove Reporting Remove Uncertainty
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Perform time series forecasting using Amazon Redshift ML and Amazon Forecast

AWS Big Data

Many businesses use different software tools to analyze historical data and past patterns to forecast future demand and trends to make more accurate financial, marketing, and operational decisions. Forecasting acts as a planning tool to help enterprises prepare for the uncertainty that can occur in the future.

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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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Why Rolling Forecasts Are a “Must”!

Jet Global

In periods of great uncertainty, organizations forecast more frequently in the hope that it will give them a better handle on their trading prospects, levels of activity, and resources needed for the coming months. The forecasting wheel is turning faster and faster, but the process hasn’t changed materially.

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How Private Equity Firms Can Manage Uncertainty With Scenario Modeling

Jedox

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.

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IT budget shock: Global IT services firms continue to struggle

CIO Business Intelligence

The global IT services industry is at a significant crossroads, with the explosive growth of generative AI and deepening economic uncertainties reshaping its future. Cognizant Technology Solutions announced a full-year revenue forecast below expectations. In challenging times, tough measures are often required.

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How the cloud and AI will help more companies become future proof

CIO Business Intelligence

In a world where macroeconomic uncertainty has become the new normal, being future-proof is no longer a ‘nice to have’. Those who are willing to make it central to their transformation journeys will open themselves up to new models and revenue streams that will become proof of their future promise. It’s easy to see why.

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Managing Seasonal Fluctuations in Retail with Analytics

Smart Data Collective

Data analytics technology has helped retail companies optimize their business models in a number of ways. One of the biggest benefits of data analytics is that it helps companies improve stability during times of uncertainty. This underscores the importance of investing in predictive analytics technology to forecast sales.