During this session, participants will understand how to use our AI software to create a real-time recommender that delivers personalized recommendations to users based on their behavior and preferences.

By |2023-05-13T17:01:15+02:00May 13th, 2023||

During this session, participants will understand how to use our AI software to create a real-time recommender that delivers personalized recommendations to users based on their behavior and preferences.

By |2023-05-05T16:55:30+02:00May 5th, 2023||

Open Discussion

Join us as we host an open discussion about the amazing things happening in the world of AI and machine learning. Share your experiences, ask questions, ponder the possibilities, or just listen as we explore new topics and revisit old ones. ecosystem.Ai, bringing complex capabilities within reach of any business, in order to build your own human based interactions, and ensure your customers' happiness.

By |2023-05-01T05:27:26+02:00May 1st, 2023||

Practical applications of Bayesian regression with ecosystem.Ai

Bayesian regression is a statistical method used to estimate the relationship between variables. It uses Bayesian inference, which is a form of statistical inference that relies on probability theory. In Bayesian regression, the relationships between variables are estimated through data rather than through assumptions.

By |2023-03-30T12:51:09+02:00March 22nd, 2023||

Dynamic recommenders with Bayesian exploration

Dynamic recommenders with Bayesian exploration are able to provide more accurate and personalized recommendations than traditional recommenders. By taking into account the user’s past behavior, the recommenders can adjust the recommendations to better fit the user.

By |2023-03-30T11:57:24+02:00March 22nd, 2023||

Incorporating Customer Feedback for Better Predictions

Responding to customers requires an understanding of the ever-changing human contexts in which they exist. It is important to remain knowledgeable and aware of current trends, industry changes, and the needs of customers. We will discuss methods of monitoring customer responses to experiments using dashboards and activating further dynamic experimentation in ecosystem.Ai.

By |2023-03-03T08:07:43+02:00March 2nd, 2023||

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