Driving Innovation with AI – Getting Ahead with DataOps and MLOps
Artificial intelligence (AI), machine learning (ML) and data science are among a large group of buzzwords associated with major breakthroughs in the way business is done and better outcomes are achieved. It is therefore important to examine the mechanisms behind those success stories and the methods that come into play to achieve them, focusing specifically on the concepts of DataOps and MLOps and their impact on the application of ML.
This study explores the following questions
- What are the main problems companies face when developing and deploying ML models?
- Which measures have increased the success achieved through the use of ML the most?
- What improvements do companies expect from the introduction of DataOps/MLOps?
Sample and related content
The study is based on a worldwide online survey of 248 companies, conducted from February to March 2022.
The report is sponsored by: