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Favorite GraphStorm is a low-code enterprise graph machine learning (ML) framework that provides ML practitioners a simple way of building, training, and deploying graph ML solutions on industry-scale graph data. Although GraphStorm can run efficiently on single instances for small graphs, it truly shines when scaling to enterprise-level graphs in
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Shared by AWS Machine Learning February 11, 2025
Favorite In this new era of emerging AI technologies, we have the opportunity to build AI-powered assistants tailored to specific business requirements. Amazon Q Business, a new generative AI-powered assistant, can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in an enterprise’s systems.
Read More Shared by AWS Machine Learning February 11, 2025
Favorite 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,
Read More Shared by AWS Machine Learning February 8, 2025
Favorite This post is co-written with Javier Beltrán, Ornela Xhelili, and Prasidh Chhabri from Aetion. For decision-makers in healthcare, it is critical to gain a comprehensive understanding of patient journeys and health outcomes over time. Scientists, epidemiologists, and biostatisticians implement a vast range of queries to capture complex, clinically relevant
Read More Shared by AWS Machine Learning February 7, 2025
Favorite Building upon a previous Machine Learning Blog post to create personalized avatars by fine-tuning and hosting the Stable Diffusion 2.1 model at scale using Amazon SageMaker, this post takes the journey a step further. As technology continues to evolve, newer models are emerging, offering higher quality, increased flexibility, and
Read More Shared by AWS Machine Learning February 7, 2025
Favorite 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
Read More Shared by AWS Machine Learning February 7, 2025
Favorite Untold Studios is a tech-driven, leading creative studio specializing in high-end visual effects and animation. Our commitment to innovation led us to a pivotal challenge: how to harness the power of machine learning (ML) to further enhance our competitive edge while balancing this technological advancement with strict data security
Read More Shared by AWS Machine Learning February 7, 2025
Favorite This is a guest post co-written with Tim Krause, Lead MLOps Architect at CONXAI. CONXAI Technology GmbH is pioneering the development of an advanced AI platform for the Architecture, Engineering, and Construction (AEC) industry. Our platform uses advanced AI to empower construction domain experts to create complex use cases
Read More Shared by AWS Machine Learning February 7, 2025
Favorite Whether you’re a small or medium-sized business (SMB) or a managed service provider at the beginning of your cloud journey, you might be wondering how to get started. Questions like “Am I following best practices?”, “Am I optimizing my cloud costs?”, and “How difficult is the learning curve?” are
Read More Shared by AWS Machine Learning February 7, 2025
Favorite As large language models (LLMs) become increasingly integrated into customer-facing applications, organizations are exploring ways to leverage their natural language processing capabilities. Many businesses are investigating how AI can enhance customer engagement and service delivery, and facing challenges in making sure LLMs driven engagements are on topic and follow
Read More Shared by AWS Machine Learning February 6, 2025