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Real-Time Testing with Real-Time results

By |2022-06-29T14:19:53+02:00July 6th, 2022||

7am San Francisco. 8am Denver. 9am Chicago. 10am New York. 3pm London. 4pm Paris. 4pm South Africa. 5pm Eastern Europe. meet.google.com/oox-kztk-vum Generate your own intelligent data, make money faster and reduce time to market, while your predictions are in production. Eliminate bias by allowing your models to learn through Dynamic Experimentation, and lower the cost of production while you [...]

Exploring Dynamic Experimentation

By |2022-06-29T14:18:28+02:00June 29th, 2022||

7am San Francisco. 8am Denver. 9am Chicago. 10am New York. 3pm London. 4pm Paris. 4pm South Africa. 5pm Eastern Europe. meet.google.com/oox-kztk-vum Generate your own intelligent data, make money faster and reduce time to market, while your predictions are in production. Eliminate bias by allowing your models to learn through Dynamic Experimentation, and lower the cost of production while you [...]

Introduction to Dynamic Experimentation

By |2022-06-21T14:59:31+02:00June 22nd, 2022||

7am San Francisco. 10am New York. 3pm London. 4pm South Africa. 4pm Europe meet.google.com/oox-kztk-vum Generate your own intelligent data, make money faster and reduce time to market, while your predictions are in production. Eliminate bias by allowing your models to learn through Dynamic Experimentation, and lower the cost of production while you make money.   [...]

Customer Behaviors in Recommenders

By |2022-08-10T09:16:42+02:00August 14th, 2021|Blog, Business, Computational Social Science, Concepts, Development, Philosophy, Video|

Watch the full discussion: https://www.youtube.com/playlist?list=PLGKmyxwO1unJklqNCxrtknbiC27i3LTdX A great talk about the nuances of customer behavior in corporate, digital and machine learning settings. https://youtu.be/JDKm929UcHE A recommender is the most engaged with system online. But not all recommender work the way they should. What ecosystem.Ai has prided themselves on is identifying, and paying attention to, the customer [...]

Recommender systems with personality

By |2022-08-10T09:16:42+02:00August 7th, 2021|Blog, Computational Social Science, Concepts, Data Science, Predictions|

Recommender systems in technology have become an integral part of human digital society. Human existence is saturated with options for everything, from swimwear brands to cellphone models, to cruise package options! Thus the adoption and use of recommenders has been wholly invited into almost every business. Since its inception in the 1970’s, recommenders have grown [...]

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