The volume of tasks running through the service desk continues to escalate. And end users—conditioned by Amazon, Facebook and Netflix—have ever-increasing service expectations.
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The volume of tasks running through the service desk continues to escalate. And end users—conditioned by Amazon, Facebook and Netflix—have ever-increasing service expectations.
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We’ve been hearing more and more about Business Relationship Management (BRM), and for good reason.
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Pure Storage, a leading independent all-flash data platform vendor, recently announced the results of Evolution, an independent global research survey exploring the ways businesses are balancing infrastructure and applications today and in the future.
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Figuring out the most optimal way to enable agility and rapidly deliver services to customers—without compromising quality—continues to be one of our industry’s biggest challenges.
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What makes IT organizations fail? Often, it’s the adoption of what’s described as “industry best practices” by people who ought to know better but don’t, probably because they’ve never had to do the job.
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ITIL Practitioner focuses on nine guiding service management principles that distil the core message to facilitate improvement and success at all levels.
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I was recently intrigued to read a blog by Paul Wilkinson about IT service management (ITSM) training: “Has ITSM Training’s Focus on Guaranteed Pass Rates Gone Too Far?” And when Paul invited me to respond, I couldn’t resist.
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A couple of recent client engagements have had me wondering about this question. If Change Management is done properly, do we really need final approval by a CAB during a meeting when most tools have robust automated approvals, conflict checkers and risk assessments?
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How do Data Science and DevOps fit together? In this article, Richard Gall explains why integrating Data Science with your DevOps can lead to a better and smarter business. Packt’s Skill Up 2016 survey revealed Data Science and DevOps to be big news for developers.
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Advances in robotics, cognition, artificial intelligence, and machine learning are ushering in a new era of automation. Machines can now match or outperform humans across a range of activities in a number of industries, including insurance.
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