Data privacy has been a hot topic in the tech world for years now. With every new technology come new regulations that require companies to completely re-examine the way they handle private data. Most companies already have a basic data privacy policy they constructed alongside lawyers and tech experts to avoid facing serious fines and penalties. However, compliance isn’t just about focusing on current regulations and meeting the bare minimum requirement to avoid legal consequences.

Most large-scale entities need to prove compliance with multiple regulatory standards. In their efforts to meet their compliance mandates, organizations could suffer a major drain on their time and resources. This possibility holds true regardless of whether they’re finance companies, retailers, manufacturers or hospitality firms. Organizations face an additional obstacle when they have an internally created compliance standard that demands enforcement.

Implementing any IT project requires time, planning, and effort and AIOps probably requires even more planning and stakeholder involvement, because of the breadth of coverage and potential to bring profits to multiple IT domains/functions (ex: ITOps/ITSM/NOCOps). Customers have high expectations from AIOps, but, even after taking such major projects, most AIOps vendors are only able to support a few core AIOps use cases, which severely limits the utility and potential of AIOps.

I recently attended a Snyk roundtable with Intuit, and it was such a good session that I wanted to write a post sharing some of the insightful discussion and takeaways — starting with this great artistic impression of the session! As a TL;DR, here are my biggest takeaways from the session.