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Hasan
Hasan

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AWS Blogs by Hasan Poonawala

Life Sciences & Healthcare AI

  1. Accelerating Life Sciences Innovation with Agentic AI on AWS
  2. Build a biomedical research agent with Biomni tools and Amazon Bedrock AgentCore Gateway
  3. Accelerating genomics variant interpretation with AWS HealthOmics and Amazon Bedrock AgentCore
  4. Evaluate Amazon Bedrock Agents with Ragas and LLM as a judge
  5. AstraZeneca fine tunes genomics foundation models with Amazon SageMaker
  6. Accelerate analysis and discovery of cancer biomarkers with Amazon Bedrock Agents
  7. Philips accelerates development of AI enabled healthcare solutions with an MLOps platform built on Amazon SageMaker
  8. Build protein folding workflows to accelerate drug discovery on Amazon SageMaker

Multi-Tenant & Enterprise AI

  1. Build a multi tenant generative AI environment for your enterprise on AWS
  2. Build an internal SaaS service with cost and usage tracking for foundation models on Amazon Bedrock

Model Training & Optimization

  1. Tune ML models for additional objectives like fairness with SageMaker Automatic Model Tuning
  2. How Sophos trains a powerful lightweight PDF malware detector at ultra scale with Amazon SageMaker
  3. Build and train ML models using a data mesh architecture on AWS Part 1
  4. Build and train ML models using a data mesh architecture on AWS Part 2

Computer Vision

  1. Detect industrial defects at low latency with computer vision at the edge with Amazon SageMaker Edge
  2. Accelerate computer vision training using GPU preprocessing with NVIDIA DALI on Amazon SageMaker
  3. Choose the best AI accelerator and model compilation for computer vision inference with Amazon SageMaker
  4. Run computer vision inference on large videos with Amazon SageMaker asynchronous endpoints
  5. Reduce computer vision inference latency using gRPC with TensorFlow serving on Amazon SageMaker
  6. Activity detection on a live video stream with Amazon SageMaker

Model Explainability & Human-in-the-Loop

  1. Human in the loop review of model explanations with Amazon SageMaker Clarify and Amazon A2I
  2. How Zopa enhanced their fraud detection application using Amazon SageMaker Clarify

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