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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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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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Optimizing clinical trial site performance: A focus on three AI capabilities

IBM Big Data Hub

This article, part of the IBM and Pfizer’s series on the application of AI techniques to improve clinical trial performance, focuses on enrollment and real-time forecasting. To do so they require data, which is in no shortage. Often larger or established teams shy away from integrating AI due to complexities in rollout and validation.

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The New Normal for FP&A: Scenario Planning

Jedox

It also underscored the importance of creating data-driven modeling capabilities, and developing the people, processes, mindset and technology to create a true culture of analytics within our organizations. The oil collapse of 2014 is another example of the importance of scenario planning.

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IBM Emphasizes The Benefits Of Data Analytics For Renewable Energy

Smart Data Collective

One of the greatest challenges facing modern society is turning the page on current energy models. The advocates of the “green” model are relying on climate change and increased competition from the renewable market to find new ways to increase production capacity and efficiency. The energy sector is under review.

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Big Data Is Already A Thing Of The Past: Welcome To Big Data AI

Smart Data Collective

For example, besides assisting with commercial underwriting needs, it works for fraud prevention and financial forecasting. In 2014, Cloudera and Hortonworks had much-hyped IPOs. The merger should allow the companies to blend their talents and business models and figure out how to stay profitable in this age of big data AI.

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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

It is my immense pleasure to introduce you all to our guest today Ria Persad, she’s named as international woman of the year by Renewable Energy World in power engineering in 2013 and the lifetime achievement leader by Platts Global Energy awards in 2014. We need people who can test.