The first time I witnessed a generative AI system accurately synthesize a patient’s complex medical history into actionable clinical insights, I understood we were entering a new era of healthcare delivery. After two decades of architecting enterprise systems across industries, I can say that healthcare presents both the greatest challenges and the most profound opportunities […]
Read more →Category: Artificial Intelligence(AI)
Context Distillation Methods: Extracting Signal from Long Documents
Introduction: Long contexts contain valuable information, but they also contain noise, redundancy, and irrelevant details that consume tokens and dilute model attention. Context distillation extracts the essential information from lengthy documents, conversations, or retrieved passages, producing compact representations that preserve what matters while discarding what doesn’t. This technique is crucial for RAG systems processing multiple […]
Read more →Image Classification vs Pattern Recognition vs Object Detection vs Object Tracking–A Primer
It is a common question that has been asked in all Artificial Intelligence Conference or Discussion Forums. Based on my knowledge, I thought of answering some of these questions: 1.) Image Classification (also called Image Recognition): is the process of creating a thematic image where each pixel is assigned a number representing a class / […]
Read more →Azure Cognitive Services–Experience Image Recognition using Custom Vision (Build an Harrison Ford Classifier)
Custom Vision Service as part of Azure Cognitive Services landscape of pretrained API services, provides you an ability to customize the state-of-the-art Computer Vision models for your specific use case. Using custom vision service you can upload set of images of your choice and categorize them accordingly using tags/categories and automatically train the image recognition […]
Read more →Query Routing: Intelligent Request Distribution for Cost-Efficient AI Systems
Introduction: Not all queries are equal—some need fast, cheap responses while others require deep reasoning. Query routing intelligently directs requests to the right model, index, or processing pipeline based on query characteristics. Route simple factual questions to smaller models, complex reasoning to GPT-4, and domain-specific queries to specialized indexes. This approach optimizes both cost and […]
Read more →Introducing Azure IoT Edge
During Build! 2017 Microsoft has announced the availability of Azure IoT Edge, which would bring in some of the cloud capabilities to edge devices/networks within your Enterprise. This would enable industrial devices to utilize the capabilities of IoT in Azure within their constrained resources . With this Microsoft now makes it easier for developers to […]
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