Are your leads not moving forward in the sales pipeline? How to use Aito in order to make fast decisions on lead assignment and turn your leads into customers.

Today, Artificial Intelligence (AI) startup Aito announced it’s latest funding round in which it raised €1.6M from B2B software investor henQ.

Slush lightened Helsinki up once again during the November darkness. For those who have not visited Finland during this time of the year: don’t. Unless you’re coming to Slush.

Small and middle-sized companies need a low-barrier way to experiment with real data and real users without high barriers.

Matching is one of the most common, yet worst recognized, problems in both software engineering and data science fields.

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.

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.

A lot has been written about the importance of Robotic Process Automation (RPA) and why it is necessary. And even more, how combining both AI and RPA is combining the best of two worlds.

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.