Tag: faang

Introduction Large language models present both massive opportunities and significant complexities for the insurance industry. Insurers can use AI to increase operational efficiency, improve the accuracy of underwriting decisions, enhance customer experience, and more effectively coordinate with partners. Yet in a heavily-regulated industry like insurance, ensuring objectivity and the appropriate level of human oversight in …

Read more “Requirements for AI in Production in Insurance Underwriting”

Data science teams often face challenges when transitioning models from the development environment to production. These include difficulties integrating data science team’s models into the IT team’s production environment, the need to retrofit data science code to meet enterprise security and governance standards, gaining access to production grade data, and maintaining repeatability and reproducibility in …

Read more “Governing the ML lifecycle at scale, Part 4: Scaling MLOps with security and governance controls”

The rapid advancement of generative AI has brought powerful publicly available large language models (LLMs), such as DeepSeek-R1, to the forefront of innovation. The DeepSeek-R1 models are now accessible through Amazon Bedrock Marketplace and Amazon SageMaker JumpStart, and distilled variants are available through Amazon Bedrock Custom Model Import. According to DeepSeek AI, these models offer …

Read more “Protect your DeepSeek model deployments with Amazon Bedrock Guardrails”

Today, we are thrilled to announce the public beta launch of Gen AI Toolbox for Databases in partnership with LangChain, the leading orchestration framework for developers building large language model (LLM) applications. Gen AI Toolbox for Databases (Toolbox) is an open-source server that empowers application developers to connect production-grade, agent-based generative AI (gen AI) applications …

Read more “Announcing public beta of Gen AI Toolbox for Databases”

This post is co-written with Martin Holste from Trellix.  Security teams are dealing with an evolving universe of cybersecurity threats. These threats are expanding in form factor, sophistication, and the attack surface they target. Constrained by talent and budget limitations, teams are often forced to prioritize the events pursued for investigation, limiting the ability to …

Read more “Trellix lowers cost, increases speed, and adds delivery flexibility with cost-effective and performant Amazon Nova Micro and Amazon Nova Lite models”