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.
It's our birthday... At least, we think it is ;) This week, let's be nostalgic and just hang out. Let's discuss all the coolest things we've discussed over the past many many many months. What struck you the most?
The five W[H]'s to test before, or while, you deploy. There are often too many variables to account for when 'dealing' with the human in a system. Human beings are difficult, confused, spontaneous, ever-changing beings that love to feel attended to. So how do we attend accurately and with empathy?
Using ecosystem.Ai, you can utilize the power provided by the easy to navigate low-code platform, real human behvaioral based algorithms, and a truly momentus real-time engine. Make all the right recommendations, and give your customers the attention they deserve.
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 [...]
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 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 [...]