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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. After they have been activated via the Console , the capabilities can be accessed via the Amazon Connect Analytics and Optimization module within Connect.

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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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Climate change predictions: Anticipating and adapting to a warming world

IBM Big Data Hub

Climate models provide answers Human activities precipitated changes to the Earth’s climate in the 20th century and will largely determine the future climate. Global climate models have given climate scientists a set of expectations as to what the future could hold, both for the Earth at large and for specific regions.

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How CIOs reinterpret their role through AI

CIO Business Intelligence

As businesses digitally transform, technology is increasingly integrated into every activity, and the CIO is becoming more of a catalyst for data-driven value creation through analytics, new AI model training, software development, automation, vendor engagement, and more.

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8 Ways Machine Learning Can be Used to Make Cities Smarter

Smart Data Collective

million between 1988-2017 and the resulting food insecurity has caused hundreds of thousands of deaths, if not more. 2019) in their article ‘A Novel Air Quality Early-Warning System Based on Artificial Intelligence’ is based on an air pollution prediction model as well as an air quality evaluation model. Wildlife Conservation.

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Leveraging generative AI on AWS to transform life sciences

IBM Big Data Hub

The exponential leap in generative AI is already transforming many industries: optimizing workflows , helping human teams focus on value added tasks and accelerating time to market. Supply Chain: Demand forecasting, supply chain optimization, risk assessment and mitigation. Why IBM Consulting for generative AI on AWS?