Artificial Intelligence (AI) is becoming smarter and smarter every day. The sophisticated algorithms have gone from using huge computers to recognize pictures of cats, to now being able to use your face as a password for your phone.
Do you also have a feeling that your data contains more potential than your company is currently harvesting? Being able to extract deep insights from data or automate manual tasks with a data application often relies on Machine Learning as part of the foundation.
This blog post takes you through three important focus areas regarding ethics and responsibility in AI solutions.
AI has enormous potential, and we see both willingness and visions of being more "data-driven" and leveraging data optimally. However, the good intentions to stay ahead with intelligent AI solutions are often met with the same challenge: How do you actually create value with AI? Read the blog post a...
What is Explainable AI?
In this blog post, we will take a closer look at what explainability means within AI, as well as the types of information that can be extracted from AI/ML models.
How to get AI out of the sandbox
Today, the door to AI is open for all businesses, but few are able to fully exploit the technology. In this blog post, you can read about the three primary reasons why AI often remains a toy in the sandbox - and our recipe for how you can get the full potential of AI across your organization.