Case Studies and Outcomes 8.1

Industry


Real world, business-focused success stories of how knowledge graphs, ontologies, and AI have been applied to address business needs.  The track will focus on return on investment and value to organizations.

Time: 
Thursday, April 23, 2020 - 10:00 to 11:30

Talks

Turn your Taxonomy into a Recommendation Engine: Lessons Learned from Rapid Development of Knowledge Recommenders using Semantic Models

Recommendation engines make the user experience more seamless and deliver personalized and relevant content to help users find what they were looking for and to discover valuable information that they did not even know existed. But, did you know that developing recommenders are also one of the best ways to enhance your organization’s semantic layer by developing your taxonomy into a knowledge graph while delivering tangible value and better services?

Lessons from Exploring Semantic Technology in Intuit’s Enterprise Data Strategy

Intuit, the leading financial software/service company behind TurboTax, Mint and Quickbooks, is embarking on a multi-year journey to transform into an “AI-driven Expert Platform” to help Small Business, Self-Employed and Consumers to prosper. To accomplish this, we are focusing on a Big Bet to “Accelerate Speed to Benefits” via “Clean Data, Never Enter Data and Accelerate AI/ML”. This talk will focus on the following: