Remove 2010 Remove Computer Science Remove Data Pipeline
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Unlocking generative AI for enterprises: How SnapLogic powers their low-code Agent Creator using Amazon Bedrock

AWS Machine Learning Blog

He focuses on Deep learning including NLP and Computer Vision domains. Greg Benson is a Professor of Computer Science at the University of San Francisco and Chief Scientist at SnapLogic. Greg has published research in the areas of operating systems, parallel computing, and distributed systems.

AI 92
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Build generative AI applications quickly with Amazon Bedrock IDE in Amazon SageMaker Unified Studio

AWS Machine Learning Blog

Through simple conversations, business teams can use the chat agent to extract valuable insights from both structured and unstructured data sources without writing code or managing complex data pipelines. The structured dataset includes order information for products spanning from 2010 to 2017.

AWS 108
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How SnapLogic built a text-to-pipeline application with Amazon Bedrock to translate business intent into action

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Iris was designed to use machine learning (ML) algorithms to predict the next steps in building a data pipeline. About the Authors Greg Benson is a Professor of Computer Science at the University of San Francisco and Chief Scientist at SnapLogic. He currently is working on Generative AI for data integration.

Database 157
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A review of purpose-built accelerators for financial services

AWS Machine Learning Blog

This makes GPUs well suited for data-heavy, matrix math-based, ML training workloads, and real-time inference workloads needing synchronicity at scale. Both use cases require the ability to move data around the chip quickly and controllably. An important part of the data pipeline is the production of features, both online and offline.

AWS 116