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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. Ghislaine Entwistle. perhaps, ….”organize

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My top learning and pondering moments at Splunk.conf22

Rocket-Powered Data Science

Observability is a business strategy: what you monitor, why you monitor it, what you intend to learn from it, how it will be used, and how it will contribute to business objectives and mission success. The key difference is this: monitoring is what you do, and observability is why you do it. This is what Splunk lives for!

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How SOCAR handles large IoT data with Amazon MSK and Amazon ElastiCache for Redis

AWS Big Data

This system involves the collection, processing, storage, and analysis of Internet of Things (IoT) streaming data from various vehicle devices, as well as historical operational data such as location, speed, fuel level, and component status. Younggu Yun works at AWS Data Lab in Korea.

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Havmor’s VP IT Dhaval Mankad on ‘melting’ hurdles with a scoop of digital innovation

CIO Business Intelligence

It’s about possessing meaningful data that helps make decisions around product launches or product discontinuations, because we have information at the product and region level, as well as margins, profitability, transport costs, and so on. How is Havmor leveraging emerging technologies such as cloud, internet of things (IoT), and AI?

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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. Support and training: Consider the level of support provided by the vendor during and after implementation.

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Building Better Data Models to Unlock Next-Level Intelligence

Sisense

You can’t talk about data analytics without talking about data modeling. These two functions are nearly inseparable as we move further into a world of analytics that blends sources of varying volume, variety, veracity, and velocity.

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Big Data Fabric Weaves Together Automation, Scalability, and Intelligence

Cloudera

It enables orchestration of data flow and curation of data across various big data platforms (such as data lakes, Hadoop, and NoSQL) to support a single version of the truth, customer personalization, and advanced big data analytics. Cloudera Enterprise Platform as Big Data Fabric. Source: Cloudera.