IT Operational Excellence

The Latest

16 April 2021: BMC has released a new edition of its Helix Platform, which leverages machine learning algorithms to support AI-driven IT operations (AIOps) and AI-driven service management (AISM) capabilities. The introduction of these algorithmic features enable IT service and operations teams to predict and resolve issues more effectively.

Why it’s Important

The use of algorithms to both categorise and predict events in IT operations is a growing trend. Such AI capabilities will be increasingly embedded in existing IT operations suites. As vendors enter a new ‘AI-powered’ competitive phase, these new AI capabilities will be included as part of regular upgrades and maintenance, rather than as add-on components.

Getting value from the new AI capabilities requires planning very human responses.  

For example, the predictive capabilities of algorithms, especially when using multi-organisational data, can provide op teams with alerts well in advance of problems becoming apparent. But unless op teams are resourced and given budget to respond to such ‘predictive maintenance’ issues, these predictive capabilities will be relegated to little more than an alarm clock with a snooze button. 

Likewise, the ability to correctly leverage and continually train advisory from resolution support algorithms, will demand both training of, and input from, the support team. The algorithms are only as good as the information and the contexts they can draw on. Support team people play an intimate role in ensuring the right information is selected for training the algorithm and, most importantly, the right contexts. This is especially pertinent as virtual agents (chatbots) are introduced for self-help capabilities.

Who’s impacted

  • CIO
  • IT operations staff
  • Support desk

What’s Next?

Begin to track the new AI capabilities available in IT operations support platforms, not just for the platforms used by your organisation, but in the competitive landscape. While there is no critical priority to adopt AI-powered IT operations or service management capabilities (just yet), it is important to understand what is coming and what may already be available as part of your current licensing agreements.

Assemble a working group to explore how AI capabilities could positively impact IT operations and service management, and the changes in process and roles that would be required to leverage them.

In short, start planning for AI-powered operations and a service management future.

Related IBRS Advisory

  1. Running IT-as-a-Service Part 55: IBRS Infrastructure Maturity Model
  2. Sustaining efficiency gains demands architecture risks mitigation Part 2
  3. Artificial intelligence Part 3: Preparing IT organisations for artificial intelligence deployment
  4. IBRSiQ: Approach to identifying an ITSM SaaS Provider

Conclusion: In August 2020, IBRS ran a roundtable on the issue of Microsoft Support service, and specifically options for obtaining services in the most effective manner. 

The replacement of Microsoft's traditional Premier Support programs for its Unified Support program is well underway. For many organisations, the new program is a strong fit, offering a wide range of services and unlimited reactive support inquiries for a fee that is directly proportional to their Microsoft software and platform investment.  

However, for others, the program is not an ideal or cost-effective fit. During the roundtable, 16 peers shared their stories of how they have approached Microsoft support in the new era and a set of practical recommendations was developed.