Top 3 Guidelines for Leveraging Machine Learning and Artificial Intelligence to Lower OPEX and Increase Competitiveness

By Torsten Volk on Oct 2, 2017 11:40:35 AM

“Machine learning (ML) today is frustrating. There is so much potential and the algorithms are all there, but I just do not know how I can leverage it for my organization,” says the CTO of a major professional services firm. “My CEO wants me to ‘leverage ML to lower OPEX and differentiate our service offerings, but there is nothing out there in the market that would allow me to get this done in a manner that has a high probability of success.” Then of course he asks me what I would do and where I would start, because the guy with “Machine Learning and AI” in his job title must know for sure…

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Machine Learning and Artificial Intelligence: The Promised Land for Lowering IT OPEX, Decreasing Operational Risk and Optimally Supporting Business Goals

By Torsten Volk on Sep 26, 2017 11:37:40 AM

What should machine and artificial intelligence (ML/AI) do for IT operations, DevOps and container management? The following table represents my quick outline of the key challenges and specific problem ML/AI needs to address. The table is based on the believe that ML/AI needs to look over the shoulder of IT ops, DevOps, and business management teams to learn from their decision making. In other words, every virtualization administrator fulfills infrastructure provisioning or upgrade requests a little bit differently. Please regard the below table as a preliminary outline and basis for discussion. At this point, and probably at no future point either, I won't claim to know the 'ultimate truth.'

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Machine Learning and Artificial Intelligence: The Promised Land for Lowering IT OPEX, Decreasing Operational Risk and Optimally Supporting Business Goals

By Torsten Volk on Sep 26, 2017 10:44:15 AM

What should machine and artificial intelligence (ML/AI) do for IT operations, DevOps and container management? The following table represents my quick outline of the key challenges and specific problem ML/AI needs to address. The table is based on the believe that ML/AI needs to look over the shoulder of IT ops, DevOps, and business management teams to learn from their decision making. In other words, every virtualization administrator fulfills infrastructure provisioning or upgrade requests a little bit differently. Please regard the below table as a preliminary outline and basis for discussion. At this point, and probably at no future point either, I won't claim to know the 'ultimate truth.'

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Prologue for EMA Research Project: Machine Learning and Artificial Intelligence in Enterprise IT and DevOps

By Torsten Volk on Sep 18, 2017 2:29:07 PM

Why are there still so many repetitive tasks in data center and cloud management today? Why does application management still contain so many manual steps? Why do most organization still suffer from automation and monitoring silos that prevent them from avoiding preventable application outages and service degradations?

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VMworld 2017 – Prologue

By Torsten Volk on Aug 18, 2017 4:18:34 PM

“Oh, I’m not coming to VMworld this year, we are at Jenkins instead.” This is a sentence I’ve heard quite a few times now from vendors that I’m used to seeing at VMworld and it makes me wonder what’s going on.

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EMA Top 3 Product Selection Process

By Torsten Volk on Jun 16, 2017 5:14:24 PM

(You can read more about the content of the EMA Top 3 - Enterprise Decision Guide in my first Post)

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The EMA Top 3 Report: Ten Priorities for Hybrid Cloud, Containers, and DevOps in 2017

By Torsten Volk on Jun 15, 2017 4:34:31 PM

(Click here to jump to the next part and read about how EMA selected its Top 3 products)

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Dell EMC World – The Easy Button for Digital Transformation

By Torsten Volk on May 15, 2017 8:44:12 AM

“It feels like magic but it is technology,” and “we will help transform every company into a software company,” were the two quotes by Michael Dell that best summed up the spirit of  Dell EMC World 2017. These statements show the genuine excitement of a seasoned tech executive to attack the next challenge of his career: merging the Dell EMC brands -Pivotal, VMware, RSA, SecureWorks, and Virtustream- into one highly differentiated IT powerhouse.

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Full Stack Container Monitoring – A Whole New Animal

By Torsten Volk on Apr 19, 2017 11:52:20 PM

Traditional IT infrastructure monitoring focuses on hypervisor hosts, storage and VMs. Application impact is tracked through vSphere resource tagging. This simple and mostly static drilldown approach to full-stack monitoring no longer works for modern microservices based computing.

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InterConnect 2017 – Showing off a whole New IBM

By Torsten Volk on Mar 24, 2017 10:31:12 AM

"Today, a dev team leveraging Kubernetes containers can get a cloud app up in minutes." This statement by Arvind Krishna, IBM’s GM for Hybrid Cloud, at the beginning of his InterConnect 2017 keynote should have received a lot more recognition than it did. This one sentence shows the fundamental shift in IBM’s strategy, away from the old Tivoli-centric IT ops company and toward a modern DevOps-focused organization that is looking for differentiation up the stack. Today’s IBM encourages developers to deploy entire application environments without IT administrators even being aware.

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