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).
During this session, participants will understand how to use our AI software to create a real-time recommender that delivers personalized recommendations to users based on their behavior and preferences.
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.
There's no time like the present Live in the moment Be present This is not just guru magic for a better life. It is the philosophy that all businesses wanting to succeed with automated interventions, should follow.
This week we are opening up the discussion about using low-code tools for complex machine-based tasks. What are the reasons we should pursue this, and what are the possible challenges? Consider Pi for a moment...
Bring your own daquiris, it's happy hour on the promenade! This week we are talking about nudges, progressive exposure, personalized info drops, and other behavioral techniques.
Open discussions about Behavioral Predictions, Real-Time Artificial Intelligence and Low-Code Environments for Machine Learning 7am (San Francisco). 8am (Denver). 9am (Chicago). 10am (New York). 3pm (London). 4pm (South Africa). 5pm (Eastern Europe).