ML in RPA 1) can be very rewarding, 2) it requires a different mindset and 3) it can be easy

Comparison of predictive queries and supervised ML models workflow, architecture and scaling/accuracy-wise

Instead of asking “How do we get 100% accuracy?”, the right question is “How do we maximize ROI?”

Machine learning becomes vital in more complex RPA workflows. Follow the simple checklist to see if Aito helps with your next RPA use case.

Step-by-step practical example of implementing machine learning with Robot Framework.

Everyone agrees that machine learning will change RPA, but it’s not going to happen the way you might think.

The way a data scientist do things is radically different from RPA developers, creating a 10–100x gap in AI to RPA fit.

Utilizing Aito's transparent reasoning layer and agile query language to create a fair AI system.

In our previous blog post, we introduced the new database category: predictive database. Now we’ll go deeper into how to use this predictive database.