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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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DaVita’s technology strategy driven by the ‘power of purpose’

CIO Business Intelligence

Our digital transformation strategy is centered around establishing a consumer-oriented model that helps us customize chronic care management based on the ever-changing conditions of each patient.” Tim Scannell: How much of a role do technologies like data analytics and AI play in DaVita’s overall technology and business strategy?

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Augmented Analytics Provides Benefits to Data Scientists!

Smarten

For example, a Data Scientist can use PMML integration to Import models created in other languages like R and Python with a PMML format, and use those models with analytical workflows to roll out predictive models to users, enabling business users to participate in analysis and making Data Scientists more productive.

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12 data science certifications that will pay off

CIO Business Intelligence

The exam covers everything from fundamental to advanced data science concepts such as big data best practices, business strategies for data, building cross-organizational support, machine learning, natural language processing, scholastic modeling, and more. and SAS Text Analytics, Time Series, Experimentation, and Optimization.

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AI In Analytics: Today and Tomorrow!

Smarten

Benefits include customized and optimized models, data, parameters and tuning. This approach does demand skills, data curation, and significant funding, but it will serve the market for third-party, specialized models. This technology can be a valuable tool to automate functions and to generate ideas.

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Solving the Data Daze – Analytics at the Speed of Business Questions

Rocket-Powered Data Science

Beyond the early days of data collection, where data was acquired primarily to measure what had happened (descriptive) or why something is happening (diagnostic), data collection now drives predictive models (forecasting the future) and prescriptive models (optimizing for “a better future”). Source: [link]

Analytics 167
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Best BI Tools Examples for 2024: Business Intelligence Software

FineReport

From advanced analytics to predictive modeling, the evolving landscape of business intelligence is revolutionizing how data is processed and leveraged for actionable insights. These benefits include enhanced operational efficiency through streamlined processes and optimized resource allocation.