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Transforming credit decisions using generative AI with Rich Data Co and AWS

Transforming credit decisions using generative AI with Rich Data Co and AWS

This post is co-written with Gordon Campbell, Charles Guan, and Hendra Suryanto from RDC.  The mission of Rich Data Co (RDC) is to broaden access to sustainable credit globally. Its software-as-a-service (SaaS) solution empowers leading banks and lenders with deep customer insights and AI-driven decision-making capabilities. Making credit decisions using AI can be challenging, requiring …

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Build agentic AI solutions with DeepSeek-R1, CrewAI, and Amazon SageMaker AI

Build agentic AI solutions with DeepSeek-R1, CrewAI, and Amazon SageMaker AI

AI agents are rapidly becoming the next frontier in enterprise transformation, with 82% of organizations planning adoption within the next 3 years. According to a Capgemini survey of 1,100 executives at large enterprises, 10% of organizations already use AI agents, and more than half plan to use them in the next year. The recent release …

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Automate bulk image editing with Crop.photo and Amazon Rekognition

Automate bulk image editing with Crop.photo and Amazon Rekognition

Evolphin Software, Inc. is a leading provider of digital and media asset management solutions based in Silicon Valley, California. Crop.photo from Evolphin Software is a cloud-based service that offers powerful bulk processing tools for automating image cropping, content resizing, background removal, and listing image analysis. Crop.photo is tailored for high-end retailers, ecommerce platforms, and sports …

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Revolutionizing business processes with Amazon Bedrock and Appian’s generative AI skills

Revolutionizing business processes with Amazon Bedrock and Appian’s generative AI skills

This blog post is co-written with Louis Prensky and Philip Kang from Appian.  The digital transformation wave has compelled enterprises to seek innovative solutions to streamline operations, enhance efficiency, and maintain a competitive edge. Recognizing the growing complexity of business processes and the increasing demand for automation, the integration of generative AI skills into environments …

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

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

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 …

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Accelerate your Amazon Q implementation: starter kits for SMBs

Accelerate your Amazon Q implementation: starter kits for SMBs

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 quite common. AWS is here to …

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Building the future of construction analytics: CONXAI’s AI inference on Amazon EKS

Building the future of construction analytics: CONXAI’s AI inference on Amazon EKS

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 efficiently. Construction sites typically employ multiple …

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How Untold Studios empowers artists with an AI assistant built on Amazon Bedrock

How Untold Studios empowers artists with an AI assistant built on Amazon Bedrock

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 requirements and the need to streamline …

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