I was actually reading Karl Marx and one of his critics of capitalism. And in a very weird way, I could not help to think about the parallel between what Karl Marx was saying and what I was seeing on a daily basis while taking to market PredicSis.ai, a self-serve analytic platform using artificial intelligence technology.
The AWS Marketplace is our de facto store to publish PredicSis.ai. It is a very convenient way for our users to deploy the product within minutes.
A few things to keep in mind when considering launching into Predictive Analytics, with or without the help of Artificial Intelligence. You’d like to better understand your customers and anticipate their moves? You feel uncomfortable knowing you are sitting on a significant amount of untapped data?
Now that I work in the advanced analytics space, I am starting to hear a word, well an aggregation of words, which is also open to misinterpretation. The expression "self-serve analytics"
PredicSis is a proud sponsor of AWS Summit Berlin. We are delighted to be participating in another AWS Summit. This time the PredicSis team will be in Berlin.
To support its growth, PredicSis opens up its first office in the United States. After great success in France and Europe, PredicSis is now accelerating its sales & marketing in the US.
Did you notice how electronic equipment always happen to fail at the worst time? Well, does a ‘good’ moment for a failure exist anyway? This is why you, the latest data scientist unicorn, is often asked to find a solution to the following business problem...
As a data scientist, up to 80% of your working time is dedicated to the data preparation and feature engineering tasks. Chatting with the data owners, building predictive models, delivering proved RoI to your stakeholders, eating, sleeping, and other basic functions fill in the remaining 20%. And it’s just plain sad.
Everybody is talking about predictive analysis these days, but you’re not really sure what it really means, or what asset it could be to your business issues. Well, let’s be a little more down to Earth then, and talk about a real business case.
Let’s say that you work with airplanes.