Remove 2030 Remove AWS Remove Database
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Transforming financial analysis with CreditAI on Amazon Bedrock: Octus’s journey with AWS

AWS Machine Learning Blog

We walk through the journey Octus took from managing multiple cloud providers and costly GPU instances to implementing a streamlined, cost-effective solution using AWS services including Amazon Bedrock, AWS Fargate , and Amazon OpenSearch Service. Along the way, it also simplified operations as Octus is an AWS shop more generally.

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What is an LLM Bootcamp? What Does Data Science Dojo Offer for Your Success?

Data Science Dojo

It covers a range of topics including generative AI, LLM basics, natural language processing, vector databases, prompt engineering, and much more. You get a chance to work on various projects that involve practical exercises with vector databases, embeddings, and deployment frameworks.

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Build agentic systems with CrewAI and Amazon Bedrock

Flipboard

billion by 2030, reflecting the transformative potential of these technologies. These tools allow agents to interact with APIs, access databases, execute scripts, analyze data, and even communicate with other external systems. The global AI agent space is projected to surge from $5.1 billion in 2024 to $47.1

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Anthropic Claude + AWS: revolutionizing pharma data analytics with Snorkel AI

Snorkel AI

A leading pharmaceutical company has committed to double its revenue by 2030 and aims to fuel that growth, in part, with AI-powered data insights. Seeking to build an AI system that could extract, analyze, and present insights from vast, complex datasets, the company partnered with Snorkel AI , Amazon Web Services (AWS), and Anthropic.

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Cepsa Química improves the efficiency and accuracy of product stewardship using Amazon Bedrock

AWS Machine Learning Blog

Embeddings generation – An embeddings model is used to encode the semantic information of each chunk into an embeddings vector, which is stored in a vector database, enabling similarity search of user queries. Each document is divided into chunks to ease the indexing and retrieval processes based on semantic meaning.

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Build financial search applications using the Amazon Bedrock Cohere multilingual embedding model

AWS Machine Learning Blog

This allows AWS customers to access it as an API, which eliminates the need to manage the underlying infrastructure and ensures that sensitive information remains securely managed and protected. You don’t have to change to a vector database or make drastic changes to your infrastructure, and it only takes a few lines of code.

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Top Ten Power BI Alternatives For Your Data Needs

Pickl AI

billion by 2030 at a CAGR of 9.1% , businesses are increasingly seeking alternatives that may better suit their unique needs. Advanced tools like AWS QuickSight support large datasets and growing businesses. SQL Integration : Easily integrates with most SQL databases via SQL Alchemy. billion to USD 54.27 What is Power BI?