AI/MLBMC HelixClientsCMDBData AnalyticsHealthcare and GenomicsIndustriesIT Asset DiscoveryITSMPortfolioPower BIPresalesProfessionalProjectsPythonSkillsTalosTechnologies
Healthcare Company – AIOps
I worked in presales to present insights into their ITSM operations gathered from Talos back to the client. My involvement was in data cleansing and preparation for injesting into Talos for supervised and unsupervised learning. Once Talos had created the reports, I would then import these to PowerBI to develop the insights. With AI we were able to identify:
- Issue candidates for automation e.g. “password reset”
- Lack of categorisation and service catalogue, poor summaries written in tickets
- 3rd party structured automation information posted into notes fields
- Categorical data located in unstructured notes fields
- Under-utilisation of knowledge
- Change requests logged as tickets leading to high level of tickets with low MTTR
- High level of critical abnormalities requiring problem RCA
- General lack of granularity in categories, impacting management reporting
This was followed up with an offer to the client to deliver the recommendations such as service desk training, restructuring categories, data cleansing, and knowledgebase improvements