AI

Puzzling out climate change

Shreyaa Raghavan’s journey into solving some of the world’s toughest challenges started with a simple love for puzzles. By high school, her knack for problem-solving naturally drew her to computer science. Through her participation in an entrepreneurship and leadership program, she built apps and twice made it to the semifinals of the program’s global competition. […]

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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

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

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

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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Validation technique could help scientists make more accurate forecasts

Should you grab your umbrella before you walk out the door? Checking the weather forecast beforehand will only be helpful if that forecast is accurate. Spatial prediction problems, like weather forecasting or air pollution estimation, involve predicting the value of a variable in a new location based on known values at other locations. Scientists typically

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