It’s easy to assume that, in data centers and beyond, automation has no bounds. In a world where AI seems to offer a limitless range of opportunities for improving data center operations and networking, and where the IT industry as a whole has embraced the notion that workflows can become so fully automated that we reach the state of NoOps, there may appear to be nothing inside data centers that you we can’t automate.

The reality, though, is more sobering.

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Published Jan 17, 2024
Originally Published on Data Center Knowledge

Setbacks are common on projects — but project managers hold four key tools to understand why they happen and how to help their teams move past them. First, understand the neuroscience behind setbacks to encourage people to learn and grow. Second, openly acknowledge that a setback has occurred to prevent backsliding. Third, adopt a growth mindset to help others strive for improvement instead of getting stuck on autopilot. And fourth, scenario plan so that you have clear options for moving forward.

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Published October 30, 2023
Originally Published on Harvard Business Review

The rate of innovation in technology—and in malware—seems to be accelerating in tandem faster than ever. CEOs, CFOs, CSOs and others responsible for safeguarding data—an enterprise’s most valuable asset—must stay on top of key developments in order to keep pace with the ever-changing threat landscape.

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Published Jun 28, 2023
Originally Published at Forbes

IT project managers are responsible for planning, executing, and delivering IT projects within scope, on time, and within budget. However, the ever-evolving nature of the IT industry, the rapid pace of technological advancement, and the increasing complexity of IT projects present several challenges for IT project management services.

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Published May 15, 2023
Originally Published at Techiexpert

Only 35% of projects today are completed successfully. One reason for this disappointing rate is the low level of maturity of technologies available for project management. This is about to change. Researchers, startups, and innovating organizations, are beginning to apply AI, machine learning, and other advanced technologies to project management, and by 2030 the field will undergo major shifts. Technology will soon improve project selection and prioritization, monitor progress, speed up reporting, and facilitate testing. Project managers, aided by virtual project assistants, will find their roles more focused on coaching and stakeholder management than on administration and manual tasks. The author show how organizations that want to reap the benefits of project management technologies should begin today by gathering and cleaning project data, preparing their people, and dedicating the resources necessary to drive this transformation.

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Published February 02, 2023
Originally Published at Harvard Business Review