Artificial Intelligence is a key factor in digital transformation
Enterprises are increasingly embracing AI to transform their business, resulting in new issues:
- How to make the transition from data science to AI in practice?
In the lab, your AI looks promising. But how does it work in practice, where quality really matters? Gain control over software engineering best practices to prevent unmaintainable AI, which can easily lead to failure. - How to convince internal and external stakeholders to trust your AI solution?
For many people, AI is relatively new. So to gain trust in your AI solution, provide an answer to the question if your AI is accurate, fair, transparent, secure, reliable and privacy-preserving. - How to keep track of the economics of your AI solution?
What is an AI initiative worth regarding the value of the effort, and what are the risks involved? When you understand these economics, you can manage changeability and testability or valuate your AI solution.
