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Build a decentralized semantic search engine on heterogeneous data stores using autonomous agents

AWS Big Data

Run the notebook There are six major sections in the notebook: Prepare the unstructured data in OpenSearch Service – Download the SEC Edgar Annual Financial Filings dataset and convert the company financial filing document into vectors with Amazon Titan Text Embeddings model and store the vector in an Amazon OpenSearch Service vector database.

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You Don’t Have to Wait for AI, But You Should Plan Carefully!

Smarten

Create a Sandbox Environment If you are in the business of technology, you probably have a robust sandbox environment in which you can use new tools and leverage opportunities with test data to understand the value of tools like Azure OpenAI, GPT 3.x Creating Summary Data for Unstructured Documents (PDFs, HTML, Websites, etc.)

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TransUnion transforms its business model with IT

CIO Business Intelligence

“We may be able to analyze data quickly, develop a model and deploy it connected to a real-time API quickly. As part of its testing, employees have access to conversational agents built using three different large language models (LLMs). Artificial Intelligence, Data Management, Digital Transformation, Financial Services Industry

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Rocket Mortgage lays foundation for generative AI success

CIO Business Intelligence

One of the most valuable aspects of AWS Bedrock, Woodring says, is that it establishes a standard data platform for Rocket, which will enable the mortgage lender to get its data “very quickly” to the right AI model. In other cases, Rocket will test out various AI models and “see their efficacy in different tasks,” Woodring says.

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How smava makes loans transparent and affordable using Amazon Redshift Serverless

AWS Big Data

For the downstream consumption by all departments across the organization, smava’s Data Platform team prepares curated data products following the extract, load, and transform (ELT) pattern. Changes on the Git repository are automatically deployed to a test stage and validated using automated integration tests.

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Run Apache Hive workloads using Spark SQL with Amazon EMR on EKS

AWS Big Data

Spark SQL is an Apache Spark module for structured data processing. They use various AWS analytics services, such as Amazon EMR, to enable their analysts and data scientists to apply advanced analytics techniques to interactively develop and test new surveillance patterns and improve investor protection.

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How to Build Knowledge Graphs for Enterprise Applications with Two Industry Leaders

Ontotext

For example, offering more of the same product or content instead of complementary items Analytics tools that don’t really support decision making Chatbots that fail the Alan Turing test You name it! The customer and employee experience when using an application is key for companies to have a real impact on their processes and results.