Author: Rohit Jain

Establishing an AI-native foundation is critical for effective compliance oversight, the ongoing challenge lies in keeping those machine learning models accurate, scalable, and reliable over time. Building on the multimodal framework detailed in Part 1, this article explores how the rigorous…

As a genuinely AI-native platform, artificial intelligence is the foundational infrastructure at Theta Lake, not an add-on feature. Our first corporate hire was a Chief Data Scientist, our compliance classifiers leveraged AI from inception, and our architecture is underpinned by proprietary…

Too many organizations fall into the one-off model trap—building specialized AI models that quickly become obsolete. Without a continuous learning framework, these models stagnate, lose accuracy, and demand costly rework. In this article, Rohit Jain, Distinguished Engineer at Theta Lake, draws…

In part 1 of this blog series, ‘AI-Enabled Supervision: The Truth Behind False Positive Reduction Claims’ we explained what false positives are, why they are difficult to eliminate and why vendor claims of 99% or 100% rate reduction are a myth. …

AI has transformed supervision, with 94% of financial services firms reporting that they are using—or planning to use—AI-based detection capabilities. As described in the Financial Industry Regulatory Authority’s report on AI Applications in the Securities Industry, AI technology offers firms the…

Why Ensemble Models and Techniques Are More Effective Than Single Model Approaches for Compliance Detections The breadth of modern workplace communications now spans video, voice, chat, screen sharing, collaborative whiteboards, emojis, GIFs, AI-generated content and more. Platforms such as Microsoft Teams,…