Dynamic recommenders with Bayesian exploration

By |2023-03-30T11:57:24+00:00March 22nd, 2023||

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.

A Real-Time Discussion

By |2023-02-21T13:58:02+00:00February 22nd, 2023||

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 [...]

Dynamic experimentation – the key to unlock new knowledge

By |2022-10-13T13:59:09+00:00September 14th, 2022|Blog, Predictions, Real-Time, Technology|

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 [...]

Build the right recommender to suit your customers

By |2022-10-06T14:07:47+00:00September 6th, 2022|Blog, Business|

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 [...]

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