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9 tips for achieving IT service delivery excellence

CIO Business Intelligence

Be proactive and serve with empathy It cannot be stressed enough how important it is to be active in ensuring that all services delivered to end users are fully vetted and tested to the point where there’s no room for complaints. It’s important to have a tested approach that starts each engagement in the same way with predictable results.

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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. Explore and test-drive it (with a free trial) here. Reference ) Splunk Enterprise 9.0 is here, now!

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Achieve Data Center Excellence with IBM and VMware

IBM Big Data Hub

Finance: Optimized for high-speed transactions and can assist in providing robust security, harnessing AI for fraud detection and real-time risk management. Manufacturing: Enable efficient and intelligent manufacturing processes to better scale production, reduce downtime and optimize strategies and operations.

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Achieving cloud excellence and efficiency with cloud maturity models

IBM Big Data Hub

Optimized: Cloud environments are now working efficiently and every new use case follows the same foundation set forth by the organdization. Everything runs seamlessly and efficiently and all stakeholders are aware of the cloud’s potential to drive business objectives.

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14 in-demand cloud roles companies are hiring for

CIO Business Intelligence

Skills: Relevant skills for a DevOps engineer include automation, Linux, QA testing, security, containerization, and knowledge of programming languages such as Java and Ruby. Role growth: 20% of businesses have added cloud systems engineer roles as part of their cloud investments.

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Guidelines on Using Data Analytics for Finding the Right Price Points

Smart Data Collective

In order to appreciate the benefits of using big data for optimizing prices, companies must recognize the merits of creating the right price point in the first place. More companies are using data analytics to optimize their pricing models. Option 1: Testing. Test different price points and look at the results in such a case.

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Belcorp reimagines R&D with AI

CIO Business Intelligence

As Belcorp considered the difficulties it faced, the R&D division noted it could significantly expedite time-to-market and increase productivity in its product development process if it could shorten the timeframes of the experimental and testing phases in the R&D labs.