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

CIO Business Intelligence

They promise to revolutionize how we interact with data, generating human-quality text, understanding natural language and transforming data in ways we never thought possible. From automating tedious tasks to unlocking insights from unstructured data, the potential seems limitless.

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The DataOps Vendor Landscape, 2021

DataKitchen

Quobole — Big data-as-a-service company with a cloud-based platform that extracts value from huge volumes of structured and unstructured data. . Service and Consulting Organizations with some DataOps experience. There are a growing number of service and consulting organizations developing expertise in DataOps.

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The state of data quality in 2020

O'Reilly on Data

They’re still struggling with the basics: tagging and labeling data, creating (and managing) metadata, managing unstructured data, etc. Nearly one-quarter of respondents work as data scientists or analysts (see Figure 1). An additional 7% are data engineers. Some other common data quality issues (Figure 4)—e.g.,

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8 data strategy mistakes to avoid

CIO Business Intelligence

“Organizations often get services and applications up and running without having put stewardship in place,” says Marc Johnson, CISO and senior advisor at Impact Advisors, a healthcare management consulting firm. Overlooking these data resources is a big mistake. What are the goals for leveraging unstructured data?”

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

AWS Big Data

Large language models (LLMs) such as Anthropic Claude and Amazon Titan have the potential to drive automation across various business processes by processing both structured and unstructured data. Redshift Serverless is a fully functional data warehouse holding data tables maintained in real time.

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Escaping POC Purgatory: Evaluation-Driven Development for AI Systems

O'Reilly on Data

Two big things: They bring the messiness of the real world into your system through unstructured data. Footnotes This consulting example is a composite scenario drawn from multiple real-world engagements and discussions, including our own work. What makes LLM applications so different?

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5 Applications for Corporate Text Analytics

Smart Data Collective

Text mining and text analysis are relatively recent additions to the data science world, but they already have an incredible impact on the corporate world. As businesses collect increasing amounts of often unstructured data, these techniques enable them to efficiently turn the information they store into relevant, actionable resources.

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