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Open Discussion

By |2022-08-11T14:19:01+02:00September 28th, 2022||

Join us as we host an open discussion about the amazing things happening in the world of AI and machine learning. Share your experiences, ask questions, ponder the possibilities, or just listen as we explore new topics and revisit old ones. ecosystem.Ai, bringing complex capabilities within reach of any business, in order to build your own human based interactions, and ensure your customers' happiness.

Special Screening

By |2022-08-11T14:17:53+02:00September 21st, 2022||

Join this week to attend a special screening of a secret event. We can tell you that this week the discussion may be about the usual - Humans and algorithms and Computational Social Science. Perhaps we'll talk about what it may mean to be human, or maybe what it means to be a machine.

4 Ways to Account for the Human in Your System

By |2022-08-10T09:16:23+02:00June 14th, 2022|Blog, Concepts, Development, Marketing, Predictions|

In the tech world, it is becoming increasingly important to account for the human behind the screen, whether these humans are employees, or customers. Algorithms are still struggling to work accurately for humans. This is due to a lack of innate consideration for the needs of the humans themselves. There is a much higher [...]

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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