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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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How the Internet of Things and AI will Transform Sports Business?

Smart Data Collective

In this article, we are going to look into the two advanced technologies – IoT and AI which have brought some tremendous changes to the sports sector. However, limitations with standard analytical models t can keep them from assessing and recording those metrics. Streaming and broadcasting. Track fans’ behavior.

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

Rocket-Powered Data Science

Accompanying the massive growth in sensor data (from ubiquitous IoT devices, including location-based and time-based streaming data), there have emerged some special analytics products that are growing in significance, especially in the context of innovation and insights discovery from on-prem enterprise data sources.

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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)?