Remove Interactive Remove Knowledge Discovery Remove Optimization Remove Risk
article thumbnail

Bridging the Gap Between Industries: The Power of Knowledge Graphs – Part I

Ontotext

More and more companies are using them to improve a variety of tasks from product range specification and risk analysis to supporting self-driving cars. This allows companies to model and optimize the interactions between the various computers that make a car run, ensuring everything is operating in sync to meet the desired specifications.

article thumbnail

Top Graph Use Cases and Enterprise Applications (with Real World Examples)

Ontotext

Here, I will draw upon our own experience from client projects and lessons learned to provide a selection of optimal use cases for knowledge graphs and semantic solutions along with real world examples of their applications. A risk issue in one financial institution could result in a domino effect for many.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Explaining black-box models using attribute importance, PDPs, and LIME

Domino Data Lab

The need for interaction – complex decision making systems often rely on Human–Autonomy Teaming (HAT), where the outcome is produced by joint efforts of one or more humans and one or more autonomous agents. This dataset classifies customers based on a set of attributes into two credit risk groups – good or bad. Ribeiro, M.

Modeling 139
article thumbnail

AI, the Power of Knowledge and the Future Ahead: An Interview with Head of Ontotext’s R&I Milena Yankova

Ontotext

This is a knowledge that anyone can get, but it would take much longer than optimal. But still, is there a risk that AI could replace people at their workplace? Milena Yankova : If they decide to work in IT, I would advise them to better understand the value of the data that machines collect from their interactions with us.