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Sport analytics leverage AI and ML to improve the game

CIO Business Intelligence

Nearly 10 years ago, Bill James, a pioneer in sports analytics methodology, said if there’s one thing he wished more people understood about sabermetrics, pertaining to baseball, it’s that the data is not the point. Improving player safety in the NFL The NFL is leveraging AI and predictive analytics to improve player safety.

Analytics 101
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3 powerful lessons of using data governance frameworks

CIO Business Intelligence

The first published data governance framework was the work of Gwen Thomas, who founded the Data Governance Institute (DGI) and put her opus online in 2003. Frameworks were already being used, but they weren’t publicly available,” she says. “I I had been asked to help Coors Beer prepare for upcoming Sarbanes-Oxley audits.

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Per Scholas redefines IT hiring by diversifying the IT talent pipeline

CIO Business Intelligence

When CEO Plinio Ayala joined Per Scholas in 2003, he noticed there weren’t enough skilled technicians to fix the hardware the organization collected. They run the risk that, by the time students do graduate, there will be a new skill that needs to be filled in the organization.

IT 102
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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 6: The Impact of COVID-19 on Supply Chain Management

bridgei2i

In the post-COVID era, they can be empowered with a high standard of data and analytics sophistication to cope and thrive. To introduce him better, he has been a supply chain analytics professional for over 14 years. And the third dimension is their data and analytics sophistication. Subscribe Now. Transcript. Anushruti: Right.

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Data Modeling 201 for the cloud: designing databases for data warehouses

erwin

In fact, many commonly accepted best practices for designing OLTP databases could well be considered worst practices for these purely analytical systems. Analytical. I published my first book in 2003 showcasing how I used Ralph’s technique to create a large data warehouse in the Oracle database. Business Focus. Operational.

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What Will Drive Innovation in this Great Reset

Andrew White

AI and machine learning will help, along with other data and analytics capabilities. Many highly leveraged firms will be at risk; debt will be at record levels in public and private so anyone who has cash will be predatory. Data, analytics and AI. But a re-engineering of how decisions are taken, by whom or what , is required.

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Humans-in-the-loop forecasting: integrating data science and business planning

The Unofficial Google Data Science Blog

Done right, strategic forecasts can provide insights to decision makers on trends, incorporate forward-looking knowledge of product plans and technology roadmaps when relevant, expose the risks and biases of relying on any one forecasting methodology, and invite input from stakeholders on the uncertainty ranges.