Challenges for the Industrial Adoption of AIOps Innovations
Ahmed E. Hassan
Goals and objectives
Over the past two decades, my team has worked extensively on improving the quality of ultra-large-scale software systems. This talk discusses several AIOps innovations that we developed to cope with the enormous complexities of such systems while highlighting the key challenges that we faced ensuring the industrial adoption of such innovations.
In particular, I will emphasize that focusing on top-performing AI models is not sufficient. Instead, AIOps solutions must be trustable, interpretable, scalable, maintainable, and evaluated in context.