Remove Forecasting Remove Sales Remove Uncertainty
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Reshaping Future Growth: Top Tips on How to Manage Tax Forecasts

Jet Global

Susie Cooke, Partner, Deloitte Canada, alongside insightsoftware’s Jamie Eagan, VP Product Management, and Kathryn Abate, Pre Sales Director, Tax, will discuss how organisations’ tax teams can be responsive to market uncertainty and organisational reforecasts as a result of the downturn. Register Now.

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Forecasting for Retail and CPG in 2020

Dataiku

While the backdrop of 2020’s global health crisis and economic uncertainty makes heading into the holiday season quite unlike years past, the U.S. is still slated to drive online sales growth.

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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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IT spending projected to grow despite economic headwinds

CIO Business Intelligence

Plummeting sales of printers and PCs and a growing inflation crisis aside, IT spending will remain strong through 2022, rising 3% year-over-year to a total of $4.5 for server spending will go some way to offset the projected 5% drop in PC, tablet and printer sales, Gartner’s predictions indicated. in 2022, according to Gartner.

IT 144
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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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Managing Seasonal Fluctuations in Retail with Analytics

Smart Data Collective

One of the biggest benefits of data analytics is that it helps companies improve stability during times of uncertainty. Data Analyst Solomon Nyamson wrote an article on Linkedin pointing out that predictive analytics tools like Sarima have made it easier than ever to forecast retail sales due to seasonal changes.

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AES enlists AI to boost its sustainable energy business

CIO Business Intelligence

-based company, which claims to be the top-ranked supplier of renewable energy sales to corporations, turned to machine learning to help forecast renewable asset output, while establishing an automation framework for streamlining the company’s operations in servicing the renewable energy market.

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