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Tag: retraining

Philips accelerates development of AI-enabled healthcare solutions with an MLOps platform built on Amazon SageMaker | Amazon Web Services

This is a joint blog with AWS and Philips. Philips is a health technology company focused on improving people’s lives through meaningful innovation. Since...

Promote pipelines in a multi-environment setup using Amazon SageMaker Model Registry, HashiCorp Terraform, GitHub, and Jenkins CI/CD | Amazon Web Services

Building out a machine learning operations (MLOps) platform in the rapidly evolving landscape of artificial intelligence (AI) and machine learning (ML) for organizations is...

There’s Only One Way to Solve the Cybersecurity Skills Gap

Numerous think tanks are seeking to resolve the cybersecurity skills gap, estimated by industry group (ISC)2 to stand at 3.4 million worldwide. It's an...

Retrieval-Augmented Generation & RAG Workflows

IntroductionRetrieval Augmented Generation, or RAG, is a mechanism that helps large language models (LLMs) like GPT become more useful and knowledgeable by pulling in...

How Meesho built a generalized feed ranker using Amazon SageMaker inference | Amazon Web Services

This is a guest post co-written by Rama Badrinath, Divay Jindal and Utkarsh Agrawal at Meesho. Meesho is India’s fastest growing ecommerce company...

Optimize pet profiles for Purina’s Petfinder application using Amazon Rekognition Custom Labels and AWS Step Functions | Amazon Web Services

Purina US, a subsidiary of Nestlé, has a long history of enabling people to more easily adopt pets through Petfinder, a digital marketplace of...

The generative AI easy button to run a POC in your DC

Commissioned Generative AI runs on data, and many organizations have found GenAI is most valuable when they combine it with their unique and proprietary...

Navigating the Challenges of Enterprise AI Adoption

In the rapidly evolving landscape of modern business, Artificial Intelligence (AI) is a transformative force, which can lead to unprecedented growth and innovation. The...

Build an end-to-end MLOps pipeline for visual quality inspection at the edge – Part 1 | Amazon Web Services

A successful deployment of a machine learning (ML) model in a production environment heavily relies on an end-to-end ML pipeline. Although developing such a...

Securing AI: What You Should Know

Machine-learning tools have been a part of standard business and IT workflows for years, but the unfolding generative AI revolution is driving a rapid...

People Still Matter in Cybersecurity Management

In the run-up to the 1992 US presidential election, Bill Clinton's campaign famously had a large sign reading "It's the economy, stupid" in their...

Speed up your time series forecasting by up to 50 percent with Amazon SageMaker Canvas UI and AutoML APIs | Amazon Web Services

We’re excited to announce that Amazon SageMaker Canvas now offers a quicker and more user-friendly way to create machine learning models for time-series forecasting. SageMaker Canvas is...

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