Industries updates

Legal professionals often spend a significant portion of their work searching through and analyzing large documents to draw insights, prepare arguments, create drafts, and compare documents. The rise of generative artificial intelligence (AI) has brought an inflection of foundation models (FMs). These FMs, with simple instructions (prompts), can perform various tasks such as drafting emails, …

How generative AI is transforming legal tech with AWS Read More »

This post is co-written with Vraj Shah and Chaitanya Hari from DoorDash. DoorDash connects consumers with their favorite local businesses in more than 30 countries across the globe. Recently, they faced a significant challenge in handling the high volume of calls from its contractor delivery workers, known as Dashers. With a user base of over …

Deploy generative AI agents in your contact center for voice and chat using Amazon Connect, Amazon Lex, and Amazon Bedrock Knowledge Bases Read More »

Editor’s Note: Last week, our CEO Sundar Pichai visited Carnegie Mellon University (CMU) as part of the President’s Lecture Series, which aims to engage and inspire the …

This post is co-written with Deepali Rajale from Karini AI. Karini AI, a leading generative AI foundation platform built on AWS, empowers customers to quickly build secure, high-quality generative AI apps. GenAI is not just a technology; it’s a transformational tool that is changing how businesses use technology. Depending on where they are in the …

Migrating to Amazon SageMaker: Karini AI Cut Costs by 23% Read More »

We’re sharing a first look of the upcoming Project Starline product and how companies can apply to be among the first to try it.

The climate crisis is one of the greatest challenges facing our world today. Its impacts are far-reaching, affecting every aspect of our lives—from public health and food security to economic stability and social justice. What’s more, the effects of climate change disproportionately burden the world’s most vulnerable populations, exacerbating existing inequities around gender, race, and …

Harnessing the power of AI to drive equitable climate solutions: The AI for Equity Challenge Read More »

Since its launch in 2018, Just Walk Out technology by Amazon has transformed the shopping experience by allowing customers to enter a store, pick up items, and leave without standing in line to pay. You can find this checkout-free technology in over 180 third-party locations worldwide, including travel retailers, sports stadiums, entertainment venues, conference centers, …

Enhancing Just Walk Out technology with multi-modal AI Read More »

Evaluating your Retrieval Augmented Generation (RAG) system to make sure it fulfils your business requirements is paramount before deploying it to production environments. However, this requires acquiring a high-quality dataset of real-world question-answer pairs, which can be a daunting task, especially in the early stages of development. This is where synthetic data generation comes into …

Generate synthetic data for evaluating RAG systems using Amazon Bedrock Read More »

State and local agencies spend approximately $1.23 billion annually to operate and maintain signalized traffic intersections. On the other end, traffic congestion at intersections costs drivers about $22 billion annually. Implementing an artificial intelligence (AI)-powered detection-based solution can significantly mitigate congestion at intersections and reduce operation and maintenance costs. In this blog post, we show you …

Making traffic lights more efficient with Amazon Rekognition Read More »

Machine learning (ML) projects are inherently complex, involving multiple intricate steps—from data collection and preprocessing to model building, deployment, and maintenance. Data scientists face numerous challenges throughout this process, such as selecting appropriate tools, needing step-by-step instructions with code samples, and troubleshooting errors and issues. These iterative challenges can hinder progress and slow down projects. …

Accelerate development of ML workflows with Amazon Q Developer in Amazon SageMaker Studio Read More »