Why should you care about No-Code AI?

Turns out that when computers can learn, computers can detect, trace, automate, reduce times and costs of tasks, and even predict stuff.

Why should you care about No-Code AI?

Artificial Intelligence is something we have heard for a long time now. It's been all over mainstream and specialized media, it's in some of our apps and software, and it even was the name of a Steven Spielberg movie from 2001 (wow). But what exactly is A.I. and why should you care about it? Is it even a thing in the No-Code community?

Well, let's find out!

First, let's resort to our problem solver when it comes to clearing things out. The trusty (ehh) Wikipedia:

Colloquially, the term "artificial intelligence" is often used to describe machines (or computers) that mimic "cognitive" functions that humans associate with the human mind, such as "learning" and "problem solving".

That is actually useful, right?, and that might lead us to the concept of Machine Learning, which is another term we tend to hear a lot. But, well, yeah... cool, so this means that computers can learn. What's in it for me or for you?

Turns out that when computers can learn, computers can detect, trace, automate, reduce times and costs of tasks, and even predict stuff (yes, you can finally predict the engagement of your tweets). And NOW we are talking. Predicting capabilities and automation might be game changers for some new and/or small companies. But the thing is, implementing this AI software traditionally can be very expensive and technically challenging.

Fortunately, there's always a No-Code approach. Yes, A.I. and Machine Learning are not the exceptions and you can find alternatives in this realm for your A.I. or M.L. needs.

You can, for example, try some deep learning —in which you collect unstructured data to then create and train models for various uses— using skyl.ai. Perhaps you do want to analyze some Twitter data to improve social media skills with Metaranx. Or maybe what you want to do is predict metrics like churn, or customer value with obviously.ai. A few years ago, you would have to invest a lot of money to get someone super specialized to do the data science and create the AI custom built for you. Today you can find options like the ones I mentioned, and so much more for affordable prices and plans. There's a vast landscape of AI tools that probably already do that very specific thing you want to do (like this).

So maybe, instead of spending thousands of dollars (or whatever your currency is) on marketing, just try studying your social media with these tools before. Or even instead of giving up on your business, run some predictions to see if there's some hope that perhaps you didn't account for. Who knows, it might make the difference.