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.
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...
The events of our daily lives can change based on our emotional status. A routine day could be interrupted at any point. Also, what could be an anxiety-provoking situation may turn out to be exciting. That shift in temper will influence our actions and how we perceive them. Change has the ability to alter our [...]
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).
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).
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).
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).
Some know it as a cold-start scenario, while others can just think of it as the end of A/B testing, we call it Dynamic Experimentation.
Data is vast and inherently hard to understand. So naturally, certain technologies, algorithms, and practices have been developed to help enhance the ways in which we understand, and ultimately use, data. The current trend states that all data is inherently valuable, however, this very much depends on what is considered to be of value. Algorithms [...]