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The rapid growth and diversity in service offerings and the ensuingcomplexity of information technology ecosystems present numerous managementchallenges (both operational and strategic). Instrumentation and measurementtechnology is, by and large, keeping pace with this development and growth.However, the algorithms, tools, and technology required to transform the datainto relevant information for decision making are not. The claim in this paper(and the invited talk) is that the line of research conducted in Uncertainty inArtificial Intelligence is very well suited to address the challenges and closethis gap. I will support this claim and discuss open problems using recentexamples in diagnosis, model discovery, and policy optimization on three reallife distributed systems.

Making life better one large system at a time: Challenges for UAI research