AI Governance and AI Observability in the Microsoft Stack: Building AI You Can Trust

Artificial intelligence has entered a phase where models are no longer the center of gravity, behaviors are. We’re deploying systems that reason, retrieve, act, and adapt in real time. They generate content, make decisions, and increasingly operate as semi‑autonomous agents woven into everyday business processes. This shift has opened extraordinary opportunities, but it has also... Continue Reading →

In the world of large language models (LLMs), few topics generate more intrigue—and complexity—than memory. While we've seen astonishing leaps in capabilities from GPT-3 to GPT-4o and beyond, one crucial bottleneck remains: long-term memory. Today’s LLMs are incredibly good at reasoning over the contents of their prompt. But what happens when that prompt disappears? How... Continue Reading →

Embracing AI: Transforming Financial Services

The financial services industry is at the forefront of a technological revolution. Artificial Intelligence (AI) is more than just a buzzword; it offers unparalleled opportunities for financial institutions to innovate, streamline operations, and improve customer experiences. This blog post will discuss three compelling use cases for AI in financial services organizations. Before you start incorporating... Continue Reading →

MLOps with Azure

Introduction Machine learning (ML) is a rapidly evolving technology that can bring significant value to various domains and applications. However, developing and deploying ML solutions is not a simple task. It requires a systematic and disciplined approach to manage the entire lifecycle of ML projects, from data collection and preparation to model development and evaluation... Continue Reading →

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