Blog_dumb

This post was written with NVIDIA and the authors would like to thank Adi Margolin, Eliuth Triana, and Maryam Motamedi for their collaboration. Organizations today face the challenge of processing large volumes of audio data–from customer calls and meeting recordings to podcasts and voice messages–to unlock valuable insights. Automatic Speech Recognition (ASR) is a critical …

Hosting NVIDIA speech NIM models on Amazon SageMaker AI: Parakeet ASR Read More »

Learn more about the startups chosen for Google for Startups Accelerator: AI for Cybersecurity. ​ 

Learn more about Google’s work with the USO and how it plans to launch a program that will enable service members to stay in touch with loved ones. ​ 

Introducing vibe coding in Google AI Studio ​ 

Generative AI has emerged as a transformative technology in healthcare, driving digital transformation in essential areas such as patient engagement and care management. It has shown potential to revolutionize how clinicians provide improved care through automated systems with diagnostic support tools that provide timely, personalized suggestions, ultimately leading to better health outcomes. For example, a …

Responsible AI design in healthcare and life sciences Read More »

The era of perpetual AI pilots is over. This year, 65% of AWS Generative AI Innovation Center customer projects moved from concept to production—some launching in just 45 days, as AWS VP Swami Sivasubramanian shared on LinkedIn. These results come from insights gained across more than one thousand customer implementations. The Generative AI Innovation Center …

Beyond pilots: A proven framework for scaling AI to production Read More »

Graph databases have revolutionized how organizations manage complex, interconnected data. However, specialized query languages such as Gremlin often create a barrier for teams looking to extract insights efficiently. Unlike traditional relational databases with well-defined schemas, graph databases lack a centralized schema, requiring deep technical expertise for effective querying. To address this challenge, we explore an …

Generate Gremlin queries using Amazon Bedrock models Read More »

Over the past two years, companies have seen an increasing need to develop a project prioritization methodology for generative AI. There is no shortage of generative AI use cases to consider. Rather, companies want to evaluate the business value against the cost, level of effort, and other concerns, for a large number of potential generative …

Incorporating responsible AI into generative AI project prioritization Read More »

Earth AI is helping enterprises and cities with everything from environmental monitoring to disaster response. ​ 

Creative teams and product developers are constantly seeking ways to streamline their workflows and reduce time to market while maintaining quality and brand consistency. This post demonstrates how to use AWS services, particularly Amazon Bedrock, to transform your creative processes through generative AI. You can implement a secure, scalable solution that accelerates your creative workflow, …

Build scalable creative solutions for product teams with Amazon Bedrock Read More »