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Beyond the hype: Do you really need an LLM for your data?

CIO Business Intelligence

While this process is complex and data-intensive, it relies on structured data and established statistical methods. This is where an LLM could become invaluable, providing the ability to analyze this unstructured data and integrate it with the existing structured data models.

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Webinar: Natural Language Processing for Digital Transformation of Unstructured Text

KDnuggets

Learn how pharma and healthcare organizations are using the power of Natural Language Processing (NLP) to transform unstructured text into actionable structured data.

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How EUROGATE established a data mesh architecture using Amazon DataZone

AWS Big Data

This agility accelerates EUROGATEs insight generation, keeping decision-making aligned with current data. Additionally, daily ETL transformations through AWS Glue ensure high-quality, structured data for ML, enabling efficient model training and predictive analytics.

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The Data Journey: From Raw Data to Insights

Sisense

Doing this will require rethinking how you handle data, learn from it, and how data fits in your digital transformation. Simplifying digital transformation. The growing amount and increasingly varied sources of data that every organization generates make digital transformation a daunting prospect.

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Why You Need End-to-End Data Lineage

erwin

But given the volume, velocity and variety of data (the three Vs of data) we generate today, producing and keeping up with end-to-end data linage is complex and time-consuming. Effectively managing business operations is a key factor to success– especially for organizations that are in the midst of digital transformation.

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3 ways SJ is able to fuel its digital journey

CIO Business Intelligence

A lot of data to structure Work is also underway to structure data thats scattered in many places. Theres a considerable amount of old data, specifically from old trains, and there has to be robust traceability when it comes to train traffic.

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How Will The Cloud Impact Data Warehousing Technologies?

Smart Data Collective

sThe recent years have seen a tremendous surge in data generation levels , characterized by the dramatic digital transformation occurring in myriad enterprises across the industrial landscape. The amount of data being generated globally is increasing at rapid rates.