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.
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.
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.
Powering Predictions with the ecosystem.Ai Platform
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 [...]
The Challenge of Time and Predictive Relevance, with Generative Models
This presentation will explore the challenge of time and predictive relevance with generative models, and demonstrate how OpenAi can be used in the ecosystem.Ai platform. We will discuss the importance of predictive relevance in today's world and how generative models can be used in an effective way.
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).
What is novelty and why should you care about it in the first place?
The google definition of novelty is: “the quality of being new, original, or unusual” Novelty can create a sense of excitement with your audience. The products we’re exposed to daily, from cars, clothing, and electronics, are influenced by new and creative designs to solve a problem. The thought behind this act [...]
Making better recommendations using ecosystem.Ai
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.