Too often, systems for information analysis and process automation fail because they are not designed as a whole system with people and machines working in harmony.
That team will approach problems in device and task specialization, automation for agility and scalability, analysis of large bodies of data, and interaction between intelligence at the edge and in the datacenter.
They did so while also enabling faster onboarding for newly acquired companies and making the most of their data center consolidation efforts, application portfolio analysis, service desk convergence, and heavy automation at all levels.