What Works - What Doesn't

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Enterprise Architecture in the Agile Era: Less Policing, More Coaching

What Works - What Doesn't

Within 15 months, half the time Jones reckons a traditional EA process would have taken, insights from SYNLAB’s EA effort are helping the €2.6 billion company better manage its application and technical risk and to assess its technical debt (the cost of pending work required to maintain its applications and IT infrastructure).

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5 ITSM hurdles and how to overcome them

What Works - What Doesn't

Effective ITSM requires, among other things, identifying which technology components such as servers and databases support which applications, properly documenting that knowledge and fine-tuning support processes. Here are some common ways ITSM can go wrong and how to avoid them.

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Mine the Past for IT Thought Leadership

What Works - What Doesn't

Cloud Everything: Once upon a time centralized IT was in, with most data processing going through a mainframe. Edge computing: This refers to the growth of processing and storage capabilities close to the edge of the network, quickly analyzing and acting on data from sensors, factory devices and vehicles.

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3 Areas Where AIops Excels - and 2 Where It Still Falls Short

What Works - What Doesn't

AIops is the use of artificial intelligence to manage, optimize, and secure IT systems more quickly, efficiently, and effectively than with manual processes. Market researcher Gartner estimates that the AIops market ranged between $900 million and $1.5 billion in 2020 with a compound annual growth rate of around 15% between 2020 and 2025.