It may sound like hyperbole to say that machine learning operations (MLOps) have become the backbone of our digital future, but it’s actually true. Similar to how we view energy grids or transportation systems as part of the critical infrastructure that powers society, AI/ML software and capabilities is quickly becoming essential technology for a wide range of companies, industries, and citizen services.
With artificial intelligence (AI) and machine learning (ML) rapidly transform industries, we’ve also seen the rise of a new age of “Shadow IT” now referred to as “Shadow ML.” Employees are increasingly deploying AI agents and ML models without the knowledge or approval of IT departments, often circumventing security protocols, data governance policies, and compliance frameworks.
