It is possible to build almost anything with generative AI and agentic AI today. But not everything that is possible is a good idea (or legal!). The difference lies in understanding how the technology actually works, what prerequisites must be in place, and where the boundaries are drawn.
Why Chronos
We have worked with AI for over thirteen years. Our experience means we know what works in practice versus what looks good in a demo but fails in operation. In short, we know what it takes.
What You Will Take Away
After the course, you will be able to look past the buzzwords and recognize which challenges AI is suited to solve, as well as which AI tools you should use for which purposes. You will understand the limitations of today's technology, know that AI is much more than just text generation, and have a solid foundation for evaluating both internal initiatives and vendor proposals.
Topics We Cover
- What is AI, really? What are, for example, agentic AI, analytical AI, and industrial AI?
- Which problems are suited to be solved with AI? And, equally important, which are not?
- What role do data and the organization's infrastructure play in AI?
- How do we choose the right AI tool?
- How do we get started with AI? What role should I take in this process?
- Why are the requirements for testing, evaluating, and monitoring AI systems different from those for traditional IT systems?
The course can be tailored to your organization's needs and industry.
We can conduct the courses at your location, or alternatively, we can provide course facilities in downtown Oslo.
