The question of AI for ServiceNow is a question of what works
Summary
Take the case of Debu Chatterjee, who is the senior director of platform engineering for enterprise software giant ServiceNow, the publicly traded, $49 billion (market cap) company best known for bringing cloud computing to IT help desks. Chatterjee, who came to the company in 2017 when ServiceNow bought his startup, DxContinuum, likes the definition supplied by UC Berkeley professor of computer science Stuart Russell: "An entity is intelligent to the extent that it does the right thing, meaning, that its actions are expected to achieve its objective. SyntaxNet offers models for parsing natural-language sentences and is based on work first introduced in 2014 by Danqi Chen and Christopher Manning at Stanford University, who developed a "dependency parser" composed of nothing more than a simple feed-forward neural network with one hidden layer. " "We are creating business apps that mimic their processes," says Chatterjee, "whether onboarding or change management, whatever it is, there are a whole bunch of techniques that can be used to make a best-in-class decision" about what action should follow a request, "without a human intervention. Chatterjee and team worked on natural language processing but soon found that things such as time-series analyses were more predictive of a sales closing than scanning a salespersons written communications or notes.