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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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Ultimate Guide to ESG Reporting

Jet Global

In recent years, investors have been placing an increased emphasis on a range of environmental, social, and governance (ESG) issues resulting in ESG reporting becoming more important. As a result, there are more demands on companies to report on their activities and practices and how they impact environmental and social sustainability.

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Climate change predictions: Anticipating and adapting to a warming world

IBM Big Data Hub

These proactive measures are made possible by evolving technologies designed to help people adapt to the effects of climate change today. Predictions range as high as 5 degrees Celsius or more by the end of the 21st century, according to the Climate Science Special Report from the U.S. Global Change Research Program, 2017.

Modeling 118
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Our quest for robust time series forecasting at scale

The Unofficial Google Data Science Blog

by ERIC TASSONE, FARZAN ROHANI We were part of a team of data scientists in Search Infrastructure at Google that took on the task of developing robust and automatic large-scale time series forecasting for our organization. So it should come as no surprise that Google has compiled and forecast time series for a long time.

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Operational Finance in the Age of Covid-19: Time to Change the Basics?

Jet Global

The term ‘operational finance’ encapsulates the critical activities associated with order to cash, procure to pay, fixed assets, close, consolidation, and reporting. By finely tuning its AR reporting capabilities, a business can enjoy greater financial stability and predictability – something much needed in the current climate.

Finance 98
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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

The development of business intelligence to analyze and extract value from the countless sources of data that we gather at a high scale, brought alongside a bunch of errors and low-quality reports: the disparity of data sources and data types added some more complexity to the data integration process. 3) Artificial Intelligence.

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Big Data Brings Stunningly Accurate Weather Predictions To Windows

Smart Data Collective

A 2017 study by Pennsylvania State University addressed the benefits of big data in weather analysis. With Yahoo Weather, you are able to view various latest weather forecasts, updates, news and even alerts from anywhere around the world. You are also able to dig deeper to get more in-depth forecast if necessary. Accuweather.