Remove Accessibility Remove Database-centric Remove Definition Remove High Quality Data
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Experts Share the 5 Pillars Transforming Data & AI in 2024

Monte Carlo

As the machine became smarter with the next generation of data access, we flattened everything to features and columns. RAG involves integrating a real-time database into the LLM’s response generation process, while fine-tuning trains models on targeted datasets to improve domain-specific responses. RAG workflow.

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Creating Value With a Data-Centric Culture: Essential Capabilities to Treat Data as a Product

Ascend.io

Treating data as a product is more than a concept; it’s a paradigm shift that can significantly elevate the value that business intelligence and data-centric decision-making have on the business. Data sharing goes beyond simply making the data available.

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Data Pipelines in the Healthcare Industry

DareData

Odds are that your local hospital, pharmacy or medical institution's definition of being data-driven is keeping files in labelled file cabinets, as opposed to one single drawer. One paper suggests that there is a need for a re-orientation of the healthcare industry to be more "patient-centric".

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The Rise of the Data Engineer

Maxime Beauchemin

Data modeling is changing Typical data modeling techniques — like the star schema  — which defined our approach to data modeling for the analytics workloads typically associated with data warehouses, are less relevant than they once were. Those systems have been taught to normalize the data for storage on their own.