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Top Data Science Tools That Will Empower Your Data Exploration Processes

datapine

Data science tools are used for drilling down into complex data by extracting, processing, and analyzing structured or unstructured data to effectively generate useful information while combining computer science, statistics, predictive analytics, and deep learning. Let’s get started. BI Tools And Applications.

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12 most popular AI use cases in the enterprise today

CIO Business Intelligence

Rolls-Royce has also found use for AI in predictive maintenance to improve the efficiency of jet engines and reduce the amount of carbon their planes produce, while also streamlining maintenance schedules through predictive analytics. Artificial Intelligence, Chatbots, IT Strategy, Predictive Analytics

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AI in marketing: How to leverage this powerful new technology for your next campaign

IBM Big Data Hub

Audience segmentation: AI helps businesses intelligently and efficiently divide up their customers by various traits, interests and behaviors, leading to enhanced targeting and more effective marketing campaigns that result in stronger customer engagement and improved ROI.

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And the winners are…. Congratulations to the Sixth Annual Data Impact Awards winners

Cloudera

Commonwealth Bank of Australia worked with Cloudera to implement a modern data platform with an AI-powered customer decisioning layer that dramatically improves how the bank interacts with its customers. Voya Financial prevented millions of dollars of fraudulent transactions by deploying predictive analytic capabilities on Cloudera.

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Top 10 IT & Technology Buzzwords You Won’t Be Able To Avoid In 2020

datapine

In business intelligence, we are evolving from static reports on what has already happened to proactive analytics with a live dashboard assisting businesses with more accurate reporting. An exemplary application of this trend would be Artificial Neural Networks (ANN) – the predictive analytics method of analyzing data.

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Data Science, Past & Future

Domino Data Lab

You know, case in point, if you were to talk about predictive analytics 20 years ago, the main people in the field would have laughed you out of the room. Predictive analytics, yeah, not so much.” Along with your database servers, you had, data warehousing and business intelligence.

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7 famous analytics and AI disasters

CIO Business Intelligence

Derek Driggs, a machine learning researcher at the University of Cambridge, together with his colleagues, published a paper in Nature Machine Intelligence that explored the use of deep learning models for diagnosing the virus. The paper determined the technique not fit for clinical use.

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