How about saving up to 40% of your time in the data preparation & insights stages of your business AI?
The main challenge for any organisation that wants to start working with ML & AI, is to understand where to start. Maybe you already have a team of data scientists to build models or you are investing on this journey; but most of their time is & will be spent on the data preparation stages – wouldn’t it be great to fast track them direct to model building? In any data science team, it is the model building and model deployment that is considered the value-adding part. Preparing for this is a key necessity; but it’s also a very time- and resource consuming activity.Read more
AI: From Buzzword to Bottom Line
In recent years, we have been overflooded with artificial intelligence, and quite regularly we are using the concept as a synonym for machine learning. Even though Al is hot, there is a long way to fall in love with the concept to be able to implement it in the business and measure it on the bottom line. But this is about to change within the Business AIRead more
You need a strategy to succeed
How to start your AI journey and how data and analytics should play in your company; what business questions do you need data to answer?Read more