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Top Tips for Banks to Engage Consumers Amid Fed Rate Cuts

The climate for consumer lending just got a boost. On September 19, 2024, The Federal Reserve slashed its benchmark interest rate by half a percentage point—the first, and the biggest, cut since March 2020 when COVID-19 adversely affected borrowers and disrupted the economy. This most recent cut amounts to a declaration of victory over inflation, …

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How Aviva built a scalable, secure, and reliable MLOps platform using Amazon SageMaker

This post is co-written with Dean Steel and Simon Gatie from Aviva. With a presence in 16 countries and serving over 33 million customers, Aviva is a leading insurance company headquartered in London, UK. With a history dating back to 1696, Aviva is one of the oldest and most established financial services organizations in the …

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Revolutionizing Edge AI

Palantir and Edgescale AI Join Forces This post contains forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. These statements may relate to, but are not limited to, Palantir’s expectations regarding the amount and the terms of …

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How Schneider Electric uses Amazon Bedrock to identify high-potential business opportunities

This post was co-written with Anthony Medeiros, Manager of Solutions Engineering and Architecture for North America Artificial Intelligence, and Adrian Boeh, Senior Data Scientist – NAM AI, from Schneider Electric. Schneider Electric is a global leader in the digital transformation of energy management and automation. The company specializes in providing integrated solutions that make energy …

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Enhancing your gen AI use case with Vertex AI embeddings and task types

Retrieval Augmented Generation (RAG) is a powerful technique for enhancing large language models (LLMs) by grounding them in external knowledge sources. This blog post looks into a common challenge in RAG implementations: achieving high-quality semantic search. We’ll explore why traditional similarity search often falls short, and how new “task type” embeddings in Vertex AI offer …