Aito's blog posts.
How to keep your predictive model up to date with just a few lines of Python code.
Utilizing Aito's transparent reasoning layer and agile query language to create a fair AI system.
We have completely rehauled our pricing. Now offering a free Aito tier called Sandbox – no credit card needed.
Using the Aito predictive database, Intwixt won the hackaton in the most challenging category: Best Net New Directory App with their Clever Sheets app.
How RPA practitioners working with UiPath get machine learning powers without worrying about models, training and deployment. Not to mention getting 50% discount of Aito for the first year!
How we made creating predictive functionality easier with automatic feature engineering mechanism called concept learning.
We used Kickstarter data to predict crowdfunding success based on project parameters. The tool is now live – and here is a short description of what you can do with it.
When turbocharging your business with AI your first thought is to build a data science team. Are you ready to think different?
Today, Artificial Intelligence (AI) startup Aito announced it’s latest funding round in which it raised €1.6M from B2B software investor henQ.
Matching is one of the most common, yet worst recognized, problems in both software engineering and data science fields.
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.
Aito Intelligence Oy
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