Blog

In this engaging and insightful session, we'll go beyond the hype and explore real- world case studies that reveal how leading enterprises overcome the most critical barriers to scaling AI across their enterprise and products.

Reflective Intelligence is powered by a mathematical framework that tracks how small changes ripple through complex systems. This allows AI to explain its decisions, stay consistent over time, and work better with humans and other agents.

Most organizations operate with an invisible burden of architectural debt. It accumulates quietly through temporary fixes, disconnected changes, and undocumented dependencies. In this talk, I’ll share how we began to systematically identify and control architectural debt and how implementing an AI agent helped us not only track it but turn it into a decision-making tool. 

InjectLab is a first-of-its-kind, open source ATT&CK-style matrix for LLM-specific threats: a structured, visual framework that maps real-world prompt injection, role hijacking, memory abuse, system prompt leakage, and more into a unified language for defenders, red teamers, and educators alike.

Researchers at Legit Security crafted benign-looking merge requests that manipulated GitLab Duo—an AI coding assistant—into injecting malicious code.

The documentary is a tribute to the collective efforts that have shaped one of the most widely adopted open-source machine-learning framewor

Covers the evolution of AI’s data ecosystem, challenges of maintaining data integrity, and a roadmap to building resilient, trustworthy AI

What do acronyms like RAG and GPT really mean? What is the math behind the “magic” of deep learning?

Prototyping is usually the first step after an entrepreneur has identified a pain point or a need to serve. This could cost months of time.

The gaming industry is evolving, and AI-driven players are at the forefront of this transformation.

How do you navigate the strengths and limitations of LLMs in real-world engineering?

In this session I will talk about two projects using LLMs, including the creation of an LLM-powered metadata extraction algorithm.