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Sport analytics leverage AI and ML to improve the game

CIO

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.

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4 imperatives for making business intelligence work

O'Reilly Media - Data

Create a coherent BI strategy that aligns data collection and analytics with the general business strategy. That’s why decision-makers consider business intelligence their top technology priority. They recognize the instrumental role data plays in creating value and see information as the lifeblood of the organization.

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Innovative Manufacturers are Investing in these Advanced Technologies

CIO

This allows teams to receive and review business intelligence and make changes in near-real-time rather than waiting hours or days to glean insights from data. [2] Many innovative manufacturers implementing edge computing have called upon AI to help process data quickly and deliver those insights.

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Crisis Management in the Digital Age: Lessons for 2024’s Unpredictable Economy

N2Growth Blog

By utilizing machine learning to streamline processes and leveraging data analytics to gain a deeper understanding of customer behavior, digital tools provide innovative solutions to today’s economic challenges. This shift to digital technologies is crucial for businesses to weather economic uncertainty.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics. But today, dashboards and visualizations have become table stakes.

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Cloud Analytics Powered by FinOps

Cloudera

Cloud transformation is ranked as the cornerstone of innovation and digitalization. The legacy IT infrastructure to run the business operations — mainly data centers — has a deadline to shift to cloud-based services. The FinOps framework is helping organizations to obtain the best ROI for their cloud transformation.

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Top 7 Challenges of Moving Data Analytics to the Cloud

Datavail

Moving data analytics to the cloud would be much simpler if it were a “lift and shift” process. Since that’s not possible when you’re moving analytics to the cloud, you need to be prepared for the challenges you’ll face. But, there are many players in the data analytics market. Data analytics isn’t about just the technology.