Operational resilience remains the top priority for those in financial services. From the U.S. Federal Reserve's study into "Sound Practices to Strengthen Operational Resilience" and "Principles of Operational Resilience" from the Basel Committee to the Bank of England's upcoming rule changes for financial organizations in the UK, the intent is to create financial services institutions that are geared towards managing digital disruption. The goal is that financial service businesses can continue providing mission-critical services in the event of disruptions such as IT glitches, outages, and cyber-attacks.

Jeff Dean at Google Brain once said that the most sophisticated AI algorithms succumb to the quality of the dataset they rely on. That's a fancy way of saying: "Garbage in, garbage out." And if your organization is struggling with the effects of dirty data-inaccurate analytics, sub-optimal automations, and persistent problems with IT operations management-chances are you've got visibility gaps in your infrastructure that have you operating with a CMDB filled with inaccurate, incomplete, or obsolete information.

This blog outlines how the ScienceLogic SL1 platform kick starts your automation journey with automated workflows - your next step toward AIOps.