Category: Generative AI

As AI governance becomes a pressing necessity, Domino Data Lab, in partnership with AWS, is bridging the gap between abstract policies and actionable practices. Domino’s Enterprise AI Platform on AWS empowers organizations to innovate confidently and responsibly by seamlessly integrating effective governance throughout the AI lifecycle, mitigating risks while driving business value.

In this post, we will explore how the newly unveiled Hyperscience Hypercell, the all-in-one enterprise AI infrastructure software platform, allows insurance companies to leverage Hyperscience’s deep integration with the AWS’s Generative AI services such as Amazon Bedrock. This integration will allow insurance customers to get more value from their existing investments by developing turnkey automation solutions.

QuesTek, a leader in Integrated Computational Materials Engineering (ICME), and AllCloud, an AWS Partner, collaborated to integrate generative AI into QuesTek’s ICMD (Integrated Computational Materials Design) platform. In this post, we will provide a high-level overview of the generative AI use cases that transformed the ICMD platform.

By Kelvin Kok, Chief Architect & CEO – Axrail By Cara Lee, Account Manager – Axrail By Brendan Child, Sr. AI/ML Partner Development Specialist – AWS By Vasileios Vonikakis, Sr. AI/ML Partner Solution Architect – AWS Axrail Introduction Generative AI enhanced solutions, such as virtual assistants and enterprise search, have already demonstrated their potential in […]

In this blog, you’ll learn how Neurons Lab, an AWS Advanced Tier Services Partner, collaborated with Peak Defence to automate compliance processes using Amazon Bedrock with Anthropic Claude 3 model and Amazon Sagemaker. The generative AI solution streamlines cybersecurity audits and RFP responses, reducing time and resources required. It covers architectural considerations, operationalization with AWS services, LLM evaluation, and continuous improvement.

By Vanitha Jayasuriya, Full Stride Cloud Solution Lead, Germany – Wipro By Yedu Kuruvath, Alliances and Partner Development Lead, AI Practice – Wipro By Shaban Saddique, AWS Business Group Director, Europe – Wipro By Benson Philip, Sr Partner Development Manager, EMEA – AWS By Bindhu Chinnadurai, Sr Partner Solutions Architect, EMEA – AWS Wipro Introduction […]

Amazon Q and generative BI are transforming business operations, and AWS Partners like ZS Associates, Tiger Analytics, and Compass UOL are pioneering use cases leveraging these technologies to build industry-tailored solutions that improve decision making, operations, fraud detection, software development lifecycles, and more. AWS provides resources to help partners develop and deploy such transformative generative AI offerings.

Generative AI adoption is rapidly growing to meet the massive data needs of modern machine learning models. Manually labeling data can be time-consuming but AWS has collaborated with Datasaur to offer solutions addressing data labeling challenges using generative AI. Datasaur’s NLP Platform automates annotation tasks and integrates with AWS services, and its LLM Labs evaluates large language models’ performance and cost for labeling.

Fine-tuning large language models (LLMs) is crucial for leveraging their full potential across industries. Quantiphi unveils how fine-tuning supercharges LLMs to deliver domain-specific AI solutions that redefine possibilities. From personalized healthcare to precise financial predictions and streamlined legal reviews, fine-tuned models offer transformative value and unleash the power of customized, efficient, and responsible generative AI deployments.

Pinecone has developed a novel serverless vector database architecture optimized for AI workloads like retrieval-augmented generation. Built on AWS, it decouples storage and compute and enables efficient intermittent querying of large datasets. This provides elasticity, fresher data, and major cost savings over traditional architectures. Pinecone serverless removes bottlenecks to building more knowledgeable AI applications economically at scale on AWS.