Assessing the enterprise readiness of AI-enabled DevOps
So far, we've learned that digital transformation is a process. It doesn't come in one go; the enterprise needs to be prepared for this. It includes adopting cloud platforms and cloud-native technology. Enterprises will have legacy systems and likely a lot of data sitting in different silos, leaving the enterprise with the challenge that this data is used in an optimized way. It's a misperception to think that AI-enabled tools and data science can solve this issue from the beginning.
The enterprise will need to have a complete overview of all its assets, but also its skills and capabilities. First, data specialists will need to assess the locations, formats, and usability of data sources. The data scientists then will have to design data models. They can't do this in isolation: they will have to collaborate with DevOps engineers and the application owners to agree on things such as version control, model...