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.
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
This presentation will provide an overview of how generative models can be used to enhance real-time customer engagements.
This presentation will provide an overview of how to tune generative models to make accurate predictions about customer recommendations in real time.
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.
As the world is swept along a wave of increasing digital transformation, businesses need to swim with the tide. From the rapid adoption of online shopping during Covid lockdowns to the shift towards a more circular economy and a growing demand for sustainable, eco-friendly products. Not to mention the impact of the recent cost-of-living [...]
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).
In terms of digital transformation and business innovation, the importance of online testing cannot be stressed enough. Dynamic experimentation can uncover endless opportunities. From acquiring new knowledge, building personalized engagements or offers, to eliminating speculation before product launches or campaigns. The willingness to continuously learn and evolve through time helps companies remain relevant and [...]
Recommenders have been used for years to help personalize the customer experience by offering things that are new or relevant. Yet so many companies today don’t use them for myriad reasons, whether they’re not aware of their capabilities, or because they think they’re too costly and complicated to implement. The concept of introducing recommenders [...]
