Intelligent CIO Africa Issue 30 | Page 74

/ FINAL WORD Problems to avoid in order to have successful AIOps integration Ian Jansen van Rensburg, VMware EMEA Senior Systems Engineer, says you need to avoid four common problems in order to have a successful AIOps integration. T he explosion in operational data and Machine Learning compute capacity is finally enabling AIOps – Artificial Intelligence for Operations. But like many other technologies, AIOps fits within a larger organisational and systems context, and enterprises need to ensure that they are ready for the shift. Successfully implementing an AIOps solution requires an awareness of the potential problems associated with such a transition. Here are four key challenges that organisations will face as they look to adopt an AIOps solution, and how to address these risks: Challenge 1: Identifying use cases (not just processes) Companies that don’t identify the underlying issues they’re trying to address with AIOps tend to utilise an incremental approach. Each new AI and ML-related feature may seem like an easy way to increase efficiency – replacing an existing sub-process with supervised learning, for example. However, the most meaningful results will come from rethinking operational use cases in a top-down manner to complement these bottom-up process improvements. AI/ML algorithms have 74 INTELLIGENTCIO www.intelligentcio.com