Is it always that simple?

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, in its ‘no-code’ form, it presents itself as merely three numbers: 3.14. This format is great for most mathematical applications, from school through to adulthood.

The ‘high-code’ form of Pi is still currently being calculated, but this is what we have so far: (http://www.geom.uiuc.edu/~huberty/math5337/groupe/digits.html), beginning with, but not limited to 3.141592653589793238462643383279502884197169399375105820974944592307816406286208998628034825342117067982148086513282306647093844609550582231725359408128481117450284102701938521105559644622948954930381964428810975665933446128475648233…

Both forms of Pi are correct, and both can be used in various applications with varying degrees of allowance for complexity. Such is the same with low-code tools.

With simplicity comes constraints. With simplicity also comes accessibility. In fact, most humans are looking for an easy fix to all the worlds problems – this is where low-code applications save the day: such as allowing young entrepreneurs to create simple, yet effective apps for their small businesses. As well as providing the functionality to create personalized recommenders, and more.

Let’s use this session to explore the impact that low-code technology has had on the world of Ai.

ecosystem.Ai, bringing complex capabilities within reach of any business, in order to build your own human based interactions, and ensure your customers’ happiness