Incorporating Customer Feedback for Better Predictions

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

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.

Dynamic Experimentation for Customer Recommendations in Real-Time

By |2023-03-03T08:07:38+00:00March 2nd, 2023||

Dynamic experimentation for customer recommendations in real-time is an innovative approach to providing customers with tailored recommendations based on their individual preferences. ecosystem.Ai uses a combination of machine learning and computational social science to predict customer behavior and provide personalized recommendations.

Building the Right Recommender

By |2022-08-29T14:53:59+00:00July 28th, 2022||

Using ecosystem.Ai, you can utilize the power provided by the easy to navigate low-code platform, real human behvaioral based algorithms, and a truly momentus real-time engine. Make all the right recommendations, and give your customers the attention they deserve.

Right here, right now! – Open Discussion

By |2022-08-11T14:15:08+00:00July 28th, 2022||

There's no time like the present Live in the moment Be present This is not just guru magic for a better life. It is the philosophy that all businesses wanting to succeed with automated interventions, should follow.

Easy as Pi – Open Discussion

By |2022-07-28T08:25:19+00:00July 28th, 2022||

This week we are opening up the discussion about using low-code tools for complex machine-based tasks. What are the reasons we should pursue this, and what are the possible challenges? Consider Pi for a moment...

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