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Re-evaluating data management in the generative AI age

IBM Journey to AI blog

Generative AI has altered the tech industry by introducing new data risks, such as sensitive data leakage through large language models (LLMs), and driving an increase in requirements from regulatory bodies and governments.

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BigID launches BigAI, a ‘privacy-by-design’ LLM designed to discover data

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Today, data discovery and classification provider BigID announced the launch of BigAI, a new large language model (LLM) designed to scan and classify enterprises’ data to optimize their security and enhance risk management initiatives. BigAI enables organizations to scan structured and unstructured …

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Why data governance is essential for enterprise AI

IBM Journey to AI blog

The recent success of artificial intelligence based large language models has pushed the market to think more ambitiously about how AI could transform many enterprise processes. However, consumers and regulators have also become increasingly concerned with the safety of both their data and the AI models themselves.

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Using Healthcare-Specific LLM’s for Data Discovery from Patient Notes & Stories

John Snow Labs

The post Using Healthcare-Specific LLM’s for Data Discovery from Patient Notes & Stories appeared first on John Snow Labs. We will also review responsible and trustworthy AI practices that are critical to delivering these technology in a safe and secure manner.

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Amazon AI Introduces DataLore: A Machine Learning Framework that Explains Data Changes between an Initial Dataset and Its Augmented Version to Improve Traceability

Marktechpost

DATALORE employs a generative strategy to solve the missing data transformation issue. DATALORE uses Large Language Models (LLMs) to reduce semantic ambiguity and manual work as a data transformation synthesis tool. These models have been trained on billions of lines of code.

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Unstructured data management and governance using AWS AI/ML and analytics services

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The first is the raw input data that gets ingested by source systems, the second is the output data that gets extracted from input data using AI, and the third is the metadata layer that maintains a relationship between them for data discovery.

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Unleashing the power of generative AI: Verisk’s Discovery Navigator revolutionizes medical record review

AWS Machine Learning Blog

The generative AI large language model (LLM) can be prompted with questions or asked to summarize a given text. With each round of testing, Verisk added instructions to the prompts to capture the pertinent medical information and to reduce possible hallucinations.