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Schneider Electric leverages Retrieval Augmented LLMs on SageMaker to ensure real-time updates in their ERP systems

AWS Machine Learning

This post was co-written with Anthony Medeiros, Manager of Solutions Engineering and Architecture for North America Artificial Intelligence, and Blake Santschi, Business Intelligence Manager, from Schneider Electric. For education, we used “X” while for healthcare we used “Y”.

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23 Inspiring Women to Watch in 2023

TechSee

She combines expertise in operations management, finance, customer operations, strategy development and execution, complex problem solving, and large organization leadership with complex negotiation, analytical, and interpersonal skills. We were excited to see her leading the conversation at MCW23 last week.

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Optimize pet profiles for Purina’s Petfinder application using Amazon Rekognition Custom Labels and AWS Step Functions

AWS Machine Learning

About the Authors Mason Cahill is a Senior DevOps Consultant with AWS Professional Services. Matthew Chasse is a Data Science consultant at Amazon Web Services, where he helps customers build scalable machine learning solutions. Rushikesh Jagtap is a Solutions Architect with 5+ years of experience in AWS Analytics services.

APIs 97
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Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning

In the following sections, we demonstrate how to build a RAG workflow using Knowledge Bases for Amazon Bedrock, backed by the OpenSearch Serverless vector engine, to analyze an unstructured clinical trial dataset for a drug discovery use case. AI/ML Solutions Architect in the Global Healthcare and Life Sciences team.

APIs 116
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Teradata Influencer Summit Highlights

Natalie Petouhof

Herman says that the guiding priorities of Teradata are: Key Principle #1: Analytic ecosystem: Teradata, DB, UDA, Real-time, Fabric Architecture. Key Principle#3: Cloud for Analytics. Key Principle #4: Enterprise Class Production Analytics, Hybrid Implementations (Pubic/ Private), Broader Market Penetration.

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Applications that Improve the Customer Journey

DMG Consulting

Organizations are starting to leverage these sophisticated technologies to re-engineer service experiences that combine the best of self-service with live agent support, a winning experience for enterprises, who have a fiduciary responsibility to reduce operating costs, while also providing an highly effective personalized customer experience.

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Enable fully homomorphic encryption with Amazon SageMaker endpoints for secure, real-time inferencing

AWS Machine Learning

Leidos is a FORTUNE 500 science and technology solutions leader working to address some of the world’s toughest challenges in the defense, intelligence, homeland security, civil, and healthcare markets. At this stage, you may also need to do additional feature engineering of your dataset or integrate with different offline feature stores.

Scripts 97