The State of MLOps study from Verta Insights explores trends, best practices and opportunities shaping the industry — from model experimentation and deployment through real-time safe operations. Importantly, the study revealed differences in how successful organizations approach ML versus laggards.
Key topics include:
Real-time explosion: Real-time use cases set for rapid growth
Investment priorities: How companies are building their Operational AI tech stack
Leaders vs Laggards: How successful companies are outperforming peers
Building and training complex models is no longer the competitive differentiator —now, companies need to effectively operationalize ML to realize value from their investments.
The paradigm shift evidenced in this study is the movement away from a focus on data science and toward a mindset where we treat models like software, and adopt an Operational AI mindset.
Download the Report
Complete the form above to download the research report for key findings from the study. You will also have access to the detailed findings for more more insights into the data collected during the research.
