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The Science of T20 Cricket: Decoding Player Performance with Predictive Modeling

Analytics Vidhya

This article explores how data analytics optimizes strategies by leveraging player performances and opposition weaknesses. Python programming predicts player performances, aiding team selections and game tactics.

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Predictive Models Are Nothing Without Trust

Cloudera

Everyone may answer and say, informed decision making, generate profit, improve customer relations optimization. Ryan: Instead of looking in the past, we’ve built a predictive model and its origins come from people trusting in usthey ask us about different scenarios. Why am I doing this? Why are we doing this?

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Rapidminer Platform Supports Entire Data Science Lifecycle

David Menninger's Analyst Perspectives

Rapidminer is a visual enterprise data science platform that includes data extraction, data mining, deep learning, artificial intelligence and machine learning (AI/ML) and predictive analytics. It can support AI/ML processes with data preparation, model validation, results visualization and model optimization.

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The key to operational AI: Modern data architecture

CIO Business Intelligence

Recent research shows that 67% of enterprises are using generative AI to create new content and data based on learned patterns; 50% are using predictive AI, which employs machine learning (ML) algorithms to forecast future events; and 45% are using deep learning, a subset of ML that powers both generative and predictive models.

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Predictive Analytics Supports Citizen Data Scientists!

Smarten

To accomplish these goals, businesses are using predictive modeling and predictive analytics software and solutions to ensure dependable, confident decisions by leveraging data within and outside the walls of the organization and analyzing that data to predict outcomes in the future.

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5 tips for transforming company data into new revenue streams

CIO Business Intelligence

Data-as-a-service, where companies compile and package valuable datasets, is the base model for monetizing data, he notes. However, insights-as-a-service, where customers provide prescriptive/predictive modeling capabilities, can demand a higher valuation.

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Optimize your workloads with Amazon Redshift Serverless AI-driven scaling and optimization

AWS Big Data

To address this requirement, Redshift Serverless launched the artificial intelligence (AI)-driven scaling and optimization feature, which scales the compute not only based on the queuing, but also factoring data volume and query complexity. The slider offers the following options: Optimized for cost – Prioritizes cost savings.