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Building a Business Case

Let's introduce customerization to your business case! There are a few steps that go into building a machine learning business case 7am (San Francisco). 8am (Denver). 9am (Chicago). 10am (New York). 3pm (London). 4pm (Germany). 4pm (South Africa). 5pm (Eastern Europe).

Powering Predictions with the ecosystem.Ai Platform

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An ecosystem.Ai platform demo   Come join us for an interactive demonstration of the Ecosystem.Ai platform and see how our innovative approach to customer experience, combining real-time capabilities with behavioral social science algorithms, can help you unlock the potential of your customer data and create human centric interactions.   See firsthand how our platform can [...]

Incorporating Customer Feedback for Better Predictions

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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 recommenders with Bayesian exploration

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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.

Practical applications of Bayesian regression with ecosystem.Ai

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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.

Making better recommendations using ecosystem.Ai

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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.

Online See "website", Your Computer, The world

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.

Online See "website", Your Computer, The world

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.

General discussion : Responsible Use of Data and AI Technology

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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.