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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 [...]

Data Science Salon Texas

Porchlight 271 11th Ave NY, NY 10001 271 11th Ave NY, NY 10001, New York, NY, United States

The intimate event curates data science sessions to bring industry leaders and specialists face-to-face to educate each other on innovative new solutions in artificial intelligence, machine learning, predictive analytics and acceptance around best practices.

A Real-Time Discussion

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Join us for a discussion about real-time artificial intelligence and its importance in today's world.   Using the ecosystem.Ai platform, you'll be able to engage in a real-time conversation with your customers and explore how artificial intelligence can be used to benefit businesses and individuals. We'll discuss the opportunities that arise in real-time and how [...]

Your Business Needs Dynamic Experimentation – continuously in production experiments

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Dynamic experimentation is a powerful tool that has the potential to revolutionize the way businesses interact with their customers. Join us as we take a brief look at dynamic experimentation, it's benefits and a few examples of successful applications. Click to learn more

Dynamic Experimentation for Customer Recommendations in Real-Time

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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.

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.

What business people should know about Artificial Intelligence

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Artificial Intelligence is changing the landscape of modern commerce. In our next session, we’ll interview Dr. Jay van Zyl, to discuss the practical applications of integrating AI technologies into your business.

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.