Remove Business Objectives Remove Internet of Things Remove IoT Remove Optimization
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How SOCAR handles large IoT data with Amazon MSK and Amazon ElastiCache for Redis

AWS Big Data

This post is a continuation of How SOCAR built a streaming data pipeline to process IoT data for real-time analytics and control. SOCAR has deployed in-car devices that capture data using AWS IoT Core. Walkthrough overview The producer of this solution is AWS IoT Core, which sends out messages into a topic called gps.

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My top learning moments at Splunk.conf23

Rocket-Powered Data Science

Such prescriptive capabilities can be more proactive, automated, and optimized, making digital resilience an objective fact for businesses, not just a business objective. This is a physical device, in the IoT (Internet of Things) family of sensors, that collects and streams data from the edge (i.e.,

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Emerging Technologies: Creating New Ways to Solve Business Problems

CIO Business Intelligence

While business leaders have the greatest insight about the organization’s needs and objectives (and likely have new ideas on how to achieve those objectives), the CIO has the greatest knowledge of what is possible — along with an understanding of emerging technologies and how they can be used.

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Six EAM trends pushing the oil and gas industries forward

IBM Big Data Hub

More recently, these systems have integrated advanced technologies like Internet of Things (IoT), artificial intelligence (AI) and machine learning (ML) to enable predictive analytics and real-time monitoring. It also benefits from advanced asset management software, like IBM Maximo.

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Migrate and modernize IBM Maximo with AWS and Red Hat

IBM Big Data Hub

It is an enterprise cloud-based asset management platform that leverages artificial intelligence (AI) , the Internet of Things (IoT) and analytics to help optimize equipment performance, extend asset lifecycles and reduce operational downtime and costs.

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Implementing Data Governance in the Manufacturing Industry

Alation

Data governance in manufacturing, when done well, can then accelerate time-to-market, increase efficiencies, optimize operational performance, improve the customer experience , and expose opportunities up and down the supply chain. Centralize, optimize, and unify data. Difficulties optimizing the global supply chain. Here’s how.

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Building Better Data Models to Unlock Next-Level Intelligence

Sisense

Both of these concepts resonated with our team and our objectives, and so we found ourselves supporting both to some extent. The new architecture requires that data be structured in a dimensional model to optimize for BI capabilities, but it also allows for ad hoc analytics with the flexibility to query clean and raw data.