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Subscription economy defies economic headwinds, fuels recurring growth

CIO Business Intelligence

It encapsulates a transformative shift towards “total monetization” strategies, where businesses increasingly adopt innovative, customer-centric models to ensure sustainable growth. According to Konary, companies’ ability to adapt their monetization strategies to evolving market demands is crucial for achieving sustained and recurrent growth.

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Asset lifecycle management strategy: What’s the best approach for your business?

IBM Big Data Hub

Here’s what you need to know in order to build a successful strategy. We’ll go deeper into EAMs, the technologies underpinning them and their implications for asset lifecycle management strategy in another section. What is an asset? First, let’s talk about what an asset is and why they are so important.

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Sport analytics leverage AI and ML to improve the game

CIO Business Intelligence

Working with partner Amazon Web Services (AWS), the NFL has developed Digital Athlete, a platform that uses computer vision and ML to predict which players are at the highest risk of injury based on plays and their body positions. The first thing is having a data strategy, having a foundation of data, and then asking questions of it.”

Analytics 118
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It’s Not Magic if it is Producing Real Global Benefits and Business Value

Rocket-Powered Data Science

If we cannot make these technologies available for everyone, we risk perpetuating a divide between the haves and have-nots. It is imperative that something be done about this, to close those digital gaps, to bring the benefits of digital services to all, and to boost the global digital business value chain.

IT 183
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Three Emerging Analytics Products Derived from Value-driven Data Innovation and Insights Discovery in the Enterprise

Rocket-Powered Data Science

These three emergent analytics products are: (a) Sentinel Analytics – focused on monitoring (“keeping an eye on”) multiple enterprise systems and business processes, as part of an observability strategy for time-critical business insights discovery and value creation from enterprise data sources. These may not be high risk.

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Unleashing Victory: How Data Collection Is Revolutionizing Football Performance Analysis!

Smart Data Collective

Data-driven insights help them make more informed decisions about tactics, substitutions, and game strategies. By crunching vast amounts of historical and real-time data, analysts can predict player fatigue, injury risks, and even game outcomes. Personalized Training Regimens Data-driven analysis isn’t limited to match days.

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Protecting Your Cryptocurrency Wllets with Machine Learning

Smart Data Collective

Fortunately, new advances in machine learning technology can help mitigate many of these risks. Machine learning technology can do wonders to help reduce the risk of cryptocurrency thefts Over the past few years, we have seen a growing number of hackers weaponize artificial intelligence.