Aito's blog posts.
Machine learning powered features, like recommendations and personalization, have become commonplace and as such the new normal. Customers have started to expect these smart features and the internal stakeholders and POs have started to demand them.
How can Aito’s predictive database be used to forecast Freska's customer churn?
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.
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.