Joe Hilger and Zach Wahl will share their experience integrating machine learning, knowledge graphs, and enterprise search to create a next-level search experience. Attendees will see what search can be and how all of these exciting pieces fit together to create a search that allows organizations to make strategic decisions.
Augmented intelligence is a partnership model of people and artificial intelligence (AI) working together to enhance cognitive performance. In a business context mainly focused to take better informed business decision. Since 80% of enterprise data is available just in an unstructured format, NLP and Machine Learning is heavily applied to support this. But Machine Learning is not enough to provide explainable decision models and to incorporate domain knowledge for higher precision. Applying Composite AI techniques help us to overcome these shortcomings for better Augmented Intelligence.
Cognizone recently initiated the development of Hanami, a tool designed to facilitate the collaborative creation and management of knowledge graphs.
Our solution guarantees a very high level of data quality based on International standards and gives access to Knowledge graph editing to less technically skilled users. Our approach is: