Mathematical models for systems that manage chatbot strings
As organizations move aggressively to understand the kind of content that drives chatbots, there should be an equally aggressive investigation of the systems for managing chatbot content. Effective management of such content requires two capabilities: 1) searching for content quickly and with pinpoint accuracy, and 2) expanding the storage system without impacting system downtime. A component content management system has a better architecture than a document- or file-level content management system for delivering these two capabilities. The differences between a CCMS and a document/file CMS are not noticeable when a proof-of-concept chatbot is driven by 10, 100, or even 1,000 strings. However, as chatbots become increasingly sophisticated, the underlying content expands to more than 10,000 strings. Within a few years, chatbots will be driven by 100,000 or even 1,000,000 distinct strings of content, and the CCMS architecture will outperform the traditional CMS architecture at these levels of scale.
In this session, Eric Kuhnen examines the mathematics of chatbot content management and explains the expected performance profiles of content management systems optimized for XML and for non-XML content. Attendees will understand how CCMS technology delivers superior performance in both Search and Scale versus CMS technology.
What can the audience expect to learn?
Attendees will understand how CCMS technology delivers superior performance in both Search and Scale versus CMS technology. The presentation does not discuss or favor any one particular CCMS solution, so Attendees will receive unbiased counsel and analysis that can be applied to the general problem of managing chatbot strings.
Meet the presenter
Eric Kuhnen has more than 20 years of experience in product research, development and management. Mr. Kuhnen was most recently responsible for competitive positioning, product marketing, and product management at Astoria Software, GoRemote (acquired by iPass), and Oracle Corporation. Since 1990, Mr. Kuhnen has managed the launch of nine different software products across four different disciplines: on-demand, enterprise, equipment control, and government. Products that Mr. Kuhnen has launched have set sales records in the first years of their operation, and one was awarded 2002 Software Product of the Year by Semiconductor International magazine. Mr. Kuhnen presently manages global operations, product management, pre-sales and marketing for Astoria Software, a division of TransPerfect, Inc. Mr. Kuhnen holds a Bachelor of Science degree in Computer Science from Brigham Young University.