Remove Internet of Things Remove Metrics Remove Optimization Remove ROI
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Asset lifecycle management strategy: What’s the best approach for your business?

IBM Big Data Hub

Valuable assets can be complex and markets are always shifting, so during this phase, it’s important to weigh the depreciation of the current asset against the rising cost of maintaining it in order to calculate its overall ROI. Put simply, it’s about fixing things before they break.

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How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

AWS Big Data

They should also provide optimal performance with low or no tuning. It includes business intelligence (BI) users, canned and interactive reports, dashboards, data science workloads, Internet of Things (IoT), web apps, and third-party data consumers. You can collect metrics and events and analyze them for operational efficiency.

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12 considerations when choosing MES software

IBM Big Data Hub

Gathering data from machines, sensors, operators and other Industrial Internet of Things (IIoT) devices, they provide accurate and up-to-date insights into the status of production activities. MES systems can assist managers with process management and process control, helping to facilitate optimal performance of manufacturing.

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Interview with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity

Corinium

Life insurance needs accurate data on consumer health, age and other metrics of risk. And more recently, we have also seen innovation with IOT (Internet Of Things). What do you recommend to organizations to harness this but also show a solid ROI? How fast are the advances you’re seeing in AI at the moment?

Insurance 150
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CMMS vs. EAM: Two asset management tools that work great together

IBM Big Data Hub

Enterprise asset management (EAM) is an asset lifecycle management solution focused on optimizing the overall lifetime performance of assets from acquisition to end-of-life. KPI dashboards or MRO inventory optimization) and audit trails are also included in CMMS software solutions.

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Themes and Conferences per Pacoid, Episode 9

Domino Data Lab

So much work in machine learning – either on the academic side which is focused on publishing papers or the industry side which is focused on ROI – tends to emphasize: How much predictive power (precision, recall) does the model have? You can define models using a straightforward logical syntax and solve them with fast convex optimization.

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My top learning moments at Splunk.conf23

Rocket-Powered Data Science

Here are four specific metrics from the report, highlighting the potentially huge enterprise system benefits coming from implementing Splunk’s observability and monitoring products and services: Four times as many leaders who implement observability strategies resolve unplanned downtime in just minutes, not hours or days.