Machine Learning changes the design of intelligent conversational bots. In order to provide the same capabilities without using ML, an application would have to ask the user to answer a long set of questions, which would negatively impact the user experience.

Aito, a Helsinki-based startup that has built a predictive database for developers, has raised $1.1 million in pre-seed funding.

A question that occasionally comes up among our users is where Aito belongs in the stack. So we decided to dig a bit deeper into the subject.

Futurice set up an experiment to see if AI could be used to bring transparency to the numerous dynamic data sources and de-mystify the problem of who knows what within a big company.

By importing their GA-data into Aito, Alvar Carto was able to uncover surprising correlating factors from their buyers’ behaviour.

Startup life. The lure of setting your own schedules and priorities. Being your own boss. Being able to focus, if not on one thing, then at least on one dimension of things.

Every developer knows that one key to high productivity is making the feedback cycles as short as possible. The usual AI-workflow is not really tuned for this, since the training phase can take ages.

I’ve set out to change the world, and there are two lines to the story.