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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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When natural disasters strike Japan, ?ita University’s EDiSON is ready to act

CIO Business Intelligence

A nation known for innovative efficiency was a failure in one key area It goes without saying that the faster and more effectively disasters can be forecasted, detected, and responded to, the better the chance of minimizing damage and saving lives. And the key to success is having data that can be analyzed for actionable insights.

IoT 108
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AWS adds machine learning capabilities to Amazon Connect

CIO Business Intelligence

AWS launched Amazon Connect in 2017 in an effort to offer a low-cost, high-value alternative to traditional customer service software suites. The forecasting, capacity planning, and scheduling features are available initially across US East (North Virginia), US West (Oregon), Asia Paci?c c (Sydney), and Europe (London) Regions.

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Swiss energy services company uses machine learning to see the future

CIO Business Intelligence

That changed in 2017 when Swiss voters approved an energy act that would reduce the country’s dependency on fossil fuels by 2050. The combination of the smart meter data and weather forecast information would provide a calculated load profile in real-time, driving solar power production for the near 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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5 questions CIOs must ask after Southwest Airlines’ failure

CIO Business Intelligence

billion in stock buybacks between 2017 and 2019. In 2017, Fast Company wrote that Southwest Airlines’ digital transformation “takes off” with an $800 million technology overhaul, but only $300 million was dedicated to new technology for operations. 31 what amounts to $428 million a year.

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Operational Data is Under-Exploited for Decision Support. What Should Change?

Jet Global

Furthermore, the findings are consistent across all of the core financial processes, namely; Quote to Cash (Q2C); Purchase to Pay (P2P); Record to Report (R2R); and Budgeting, Planning and Forecasting (BPF). The majority of funds will instead be directed towards budgeting, planning, forecasting, and reporting systems.

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