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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.”

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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

Performance Metrics Data collection also extends to individual player metrics. 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.

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The Role of Data Analytics in Football Performance

Smart Data Collective

Sports leagues and teams are using analytics to estimate turn out at various sporting events, predict the performance of individual athletes, identify ways that athletes can improve their performance and improve marketing strategies. In addition to performance metrics, data collection also includes injury and fitness data.

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Optimize checkpointing in your Amazon Managed Service for Apache Flink applications with buffer debloating and unaligned checkpoints – Part 2

AWS Big Data

We’ve already discussed how checkpoints, when triggered by the job manager, signal all source operators to snapshot their state, which is then broadcasted as a special record called a checkpoint barrier. Then it broadcasts the barrier downstream. For more details, refer to Limitations.

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Asset lifecycle management best practices: Building a strategy for success

IBM Big Data Hub

But where do you start and how do you know which ALM strategy is right for you? The maintenance strategies that companies use most frequently are broken down into four stages of the asset lifecycle. A sound ALM strategy ensures compliance no matter where data is being stored. What is asset lifecycle management (ALM)?