Remove Broadcasting Remove Cost-Benefit Remove Metrics Remove Optimization
article thumbnail

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

IBM Big Data Hub

The following are the six stages of asset lifecycle management: Planning: In the first stage of the asset lifecycle, stakeholders assess the need for the asset, its projected value to the organization and its overall cost. Reduced maintenance costs and downtime: Monitor assets in real time, regardless of complexity.

article thumbnail

Machine Learning Improves Mesh Networks & Fights Dead Zones

Smart Data Collective

One of the benefits of machine learning is that it can help improve mesh networks, which can minimize the risk of Internet connectivity problems. In order to appreciate the benefits of using machine learning to address these problems, it is necessary to first appreciate the issues caused by dead zones and how they emerge in the first place.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Next generation tools for data science

The Unofficial Google Data Science Blog

For framing purposes, Spark’s sweet spot is quickly developing exploratory/interactive analysis and iterative algorithms , e.g., gradient descent and MCMC, whereas Dataflow’s sweet spot is processing streaming data and highly-optimized, robust, fixed pipelines. Spark provides the user with greater flexibility. sc.textFile(.)

article thumbnail

Asset lifecycle management best practices: Building a strategy for success

IBM Big Data Hub

Planning In the first stage of the asset lifecycle, stakeholders assess the need for a new asset, its projected value to the organization and its overall cost. Read this blog post to explore how digital twins can help you optimize your asset performance. The four stages of ALM 1.