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Generative AI Data Governance - Amazon Bedrock Guardrails - AWS

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Build responsible AI applications with Guardrails Amazon Bedrock Guardrails provides configurable safeguards to help safely build generative AI

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The art of abstraction in computer science

Dataconomy

What is abstraction in computer science? Abstraction is the magical art of simplifying the most complex of computer systems, unlocking their power and secrets. Abstraction plays a fundamental role in computer science, providing the necessary building blocks for creating modular, efficient, and reusable code.

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The art of abstraction in computer science

Dataconomy

What is abstraction in computer science? Abstraction is the magical art of simplifying the most complex of computer systems, unlocking their power and secrets. Abstraction plays a fundamental role in computer science, providing the necessary building blocks for creating modular, efficient, and reusable code.

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Difference between modern and traditional data quality - DataScienceCentral.com

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Modern data quality practices leverage advanced technologies, automation, and machine learning to handle diverse data sources, ensure real-time processing, and foster collaboration across stakeholders.

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Big data engineer

Dataconomy

Data transformation and preprocessing Big Data Engineers apply algorithms and transformations to raw data, converting it into structured formats suitable for analysis and preparation for downstream applications.

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Going beyond AI assistants: Examples from Amazon.com reinventing industries with generative AI

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Building a reliable application with guardrails and HITL To comply with HIPAA standards and provide patient privacy, we implemented strict data governance practices alongside a hybrid approach that combines fine-tuned LLMs using Amazon Bedrock APIs with Retrieval Augmented Generation (RAG) using Amazon OpenSearch Service.

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Data Integrity: The Foundation for Trustworthy AI/ML Outcomes and Confident Business Decisions

ODSC - Open Data Science

As much as data quality is critical for AI, AI is critical for ensuring data quality, and for reducing the time to prepare data with automation. Data quality also works hand in hand with data governance. in Computer Engineering from Bosphorus University in Istanbul. Tendü received her Ph.D.

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