A Platform Approach to Business Specific AI Capabilities | VB Transform 2020
0Zero to Helpful in 2.2 seconds: A Platform Approach to Business Specific AI Capabilities
More than ever, today’s environment calls for analytics agility as businesses seek data-powered understanding, preparedness and execution. Cloudera, the enterprise data cloud company, serves the top enterprise organizations in every industry who rely on its world-class support organization for answers to technical questions. Part of agility means getting effective support without waiting, and Cloudera was able to build and deploy a support chatbot, intelligently answering customer questions upon launch, in less than a month. If you’re familiar with what’s involved, that likely sounds fast.
Cloudera needed its customers to be able to describe their issues in natural language and receive instant answers and pointers to relevant knowledge articles, however commercial chatbot software doesn’t provide this capability out-of-the-box. Rapidly instilling a chatbot with sophisticated, business specific knowledge to be helpful to customers on deployment day one required quickly gathering and preparing the right data and applying a composite of multiple analytics and machine learning techniques. Having a flexible, open platform for multi-function analytics on shared business data made it possible.
In a fireside chat with industry analyst Sam Charrington, Cloudera’s Director of Internal Systems Engineering will share how Cloudera uses its own software, the Cloudera Data Platform, to enable a factory-like approach to rapidly building and deploying enterprise specific AI capabilities, and how other companies can, too.
Adam Warrington, Senior Director, Engineering, Cloudera
In conversation with Sam Charrington, Host, TWIML