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2019 US Open Predictions: Doubling Down on the Data

DataRobot Blog

The next day, in the men’s final, we watched the match between our model’s top two favorites, Novak Djokovic (39%) and Roger Federer (32%) compete in an epic final that saw Novak Djokovic win his fifth Wimbledon title. With the 2019 US Open starting, we wanted to see if we could use DataRobot to predict how this tournament will play out.

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What is business analytics? Using data to improve business outcomes

CIO Business Intelligence

Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more. Business analytics also involves data mining, statistical analysis, predictive modeling, and the like, but is focused on driving better business decisions.

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Simplifying data processing at Capitec with Amazon Redshift integration for Apache Spark

AWS Big Data

Your applications can seamlessly read from and write to your Amazon Redshift data warehouse while maintaining optimal performance and transactional consistency. Additionally, you’ll benefit from performance improvements through pushdown optimizations, further enhancing the efficiency of your operations.

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8 Ways Machine Learning Can be Used to Make Cities Smarter

Smart Data Collective

2 Through artificial intelligence-based prediction, there can be improvement in decision making regarding droughts and better methods and timing employed to ensure optimal water resource allocation and disseminating information ahead of drought events. Optimization of Electric Vehicle Charging.

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How to achieve high-impact personalization at scale with managed marketing services

IBM Big Data Hub

According to an Everest Group® study , offshore MMS centers increased over 50% from 2019 to 2022. These components come together to create end-to-end operations efficiency, experience optimization and data optimization. MMS for campaign support includes: Design and planning Execution Optimization Performance evaluation 2.

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3 Compelling Ways IoT is Changing the Solar Industry

Smart Data Collective

billion in 2019 and is growing rapidly. To properly optimize the overall solar farm efficiency, every solar panel must operate at its peak capacity. To optimize solar farm operations, the farm will require the incorporation of IoT technologies. This is why there is a need for expanding IoT applications in the power sector.

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Proptech and the proper use of technology for house sales prediction

KDnuggets

We developed an optimal prediction model from correlations in the time and status of ownership as well as the time of the year of sales fluctuations. Using the ATTOM dataset, we extracted data on sales transactions in the USA, loans, and estimated values of property.

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