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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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How CIOs reinterpret their role through AI

CIO Business Intelligence

A strengthening role in IT “Real-time analytics, forecasting, and alerting capabilities enable us to intervene when problems arise and prevent disruptions,” says Deligia. At the same time, the AI’s predictive mechanism generates a forecast that highlights the deviation between what was predicted and facilitating the action to correct it.”

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Climate change predictions: Anticipating and adapting to a warming world

IBM Big Data Hub

Climate modeling consists of using datasets and complex calculations to represent the interactions between major climate system components—namely, the atmosphere, land surface, oceans and sea ice. Global Change Research Program, 2017. One of the latest climate modeling initiatives come through a partnership between IBM and NASA.

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6 ecommerce trends to watch

IBM Big Data Hub

Some forecasts suggest online retail might be responsible for half of all retail revenues by next year. In the constantly shifting, rapidly expanding ecommerce ecosystem, businesses must think creatively about their digital strategies and how best to create dynamic, interactive shopping experiences that improve customer relationships.

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4 Reasons Why GRC Is a Useless Term

John Wheeler

That journey included in-depth survey research and countless interactions with our end-user clients to understand their need to better manage strategic, operational and IT/cybersecurity risks. Unfortunately, in my thousands of client interactions, end-user views of GRC technology effectiveness are not compatible with this need for agility.

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Leveraging generative AI on AWS to transform life sciences

IBM Big Data Hub

Other use cases where generative AI models can help life sciences organizations unleash competitive advantage are: Summarization : call center interactions, documents such as financial reports, analyst articles, emails, news, media trends and more. Supply Chain: Demand forecasting, supply chain optimization, risk assessment and mitigation.

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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 12: How AI is rapidly transforming the enterprise landscape in the post-COVID world

bridgei2i

She’s the founder and CEO of StatWeather, a company, which was recognized as number one in climate technology globally in the year, 2017, by the Energy Risk Awards. In my company StatWeather we use this kind of data and data mining to forecast weather and climate patterns, which has been very successful. Not just that.