During the conference, lectures and trainings took place in four different rooms. The focus of my participation was clearly the fields of “artificial intelligence” (AI) and “machine learning” (ML). And I had good reason to attend such presentations: These two topics are more than buzzwords today. In the years to come, KI and ML will increasingly come into focus and open up opportunities that were previously not possible with traditional data processing.
I took the following lectures with the aim to use the AI/ML functions of AWS rather sooner than later:
- Increase customer value with AI solutions
- Agile Machine Learning on AWS
- How to make your software smarter with AI Services from AWS
Interestingly, these AI/ML-related technologies are not completely new to AWS. And so it is no wonder that there are already numerous proven and widely used services in this area. According to AWS, as many as 85% of Tensorflow installations worldwide will run on AWS. Tensorflow is a leading framework for data-driven programming that is used, among other things, in the field of machine learning.