Automating AI is not really a topic that is high on everyone’s agenda.
Everyone wants to talk about machine learning and AI, but automating AI is a different game.
Most of what we see is the result of very successful AI applied in a very small domain.
However, most companies want to apply AI in a much broader domain of data and applications.
If you want to automate something as a good model or good algorithm, you have to remember that automating AI is a very immature market. It requires specialized skills both from your IT teams as well as from your developers and data scientists to really make it fly.
So, bear in mind, exploration is good. Testing a lot of tools is good. But if you want to automate the outcomes of your AI experiment, there’s a high cost to pay right now.
It’s important to be aware of that and make sure you investigate the impact of automating AI properly before you decide to go down this route.