Access to information and insights is critical for today’s complex enterprises, but the pro cess to actually find the answers is typically clumsy, cumbersome, and erro r-prone. Unlike consumer experiences with Google, Alexa, or Siri, enterpris e search is broken.
\nBut advancements in machine learning, NLP, and text analytics are changing the dynamic for enterprise employees. During th is session, we’ll explore how one large, global bank is delivering a Research Portal for its analysts that:
\n\n Understands not just what the user asks, but what they mean by using Query Frames to determine user intent\n Uses intent to determine which machine-learning relevancy model to apply to returning results\n Creates a graphical, interactive results view that immediately delivers act ionable insight to the users inside the organization and direct customers\n \nThe session will conclude with an overview of the results the bank has experienced, and how they’re looking to extend the machine-learning based search capabilities into other areas.
\n DTSTART:20181011T120000 SUMMARY:Modernizing Enterprise Search with AI and Machine Learning DTEND:20181011T125959 LOCATION: See Description END:VEVENT END:VCALENDAR