Practical applications of Bayesian regression with ecosystem.Ai

By |2023-03-22T12:28:12+02:00March 22nd, 2023||

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.

Incorporating Customer Feedback for Better Predictions

By |2023-03-03T08:07:43+02:00March 2nd, 2023||

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 Experimentation for Customer Recommendations in Real-Time

By |2023-03-03T08:07:38+02:00March 2nd, 2023||

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.

5 ways to improve customer experience with dynamic experimentation

By |2022-10-13T14:00:03+02:00October 13th, 2022|Blog, Business, Dynamic Experimentation, Marketing|

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 [...]

Building a Business Case

By |2022-12-05T17:27:24+02:00October 11th, 2022||

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).

Dynamic experimentation – the key to unlock new knowledge

By |2022-10-13T13:59:09+02:00September 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 [...]

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