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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. And guess what?

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CIOs contend with gen AI growing pains

CIO Business Intelligence

Soumya Seetharam, CDIO at Corning, said the manufacturer has been on its data journey for a few years, with more than 70% of its business transaction data being ingested into a data platform. But that’s only structured data, she emphasized.

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The Rise of Unstructured Data

Cloudera

Here we mostly focus on structured vs unstructured data. In terms of representation, data can be broadly classified into two types: structured and unstructured. Structured data can be defined as data that can be stored in relational databases, and unstructured data as everything else.

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Have we reached the end of ‘too expensive’ for enterprise software?

CIO Business Intelligence

GenAI as ubiquitous technology In the coming years, AI will evolve from an explicit, opaque tool with direct user interaction to a seamlessly integrated component in the feature set. In many cases, this eliminates the need for specialized teams, extensive data labeling, and complex machine-learning pipelines.

Software 128
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Data governance in the age of generative AI

AWS Big Data

First, many LLM use cases rely on enterprise knowledge that needs to be drawn from unstructured data such as documents, transcripts, and images, in addition to structured data from data warehouses. As part of the transformation, the objects need to be treated to ensure data privacy (for example, PII redaction).

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Fueling Enterprise Generative AI with Data: The Cornerstone of Differentiation

Cloudera

By leveraging an organization’s proprietary data, GenAI models can produce highly relevant and customized outputs that align with the business’s specific needs and objectives. Structured data is highly organized and formatted in a way that makes it easily searchable in databases and data warehouses.

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Leading Trends of Fintech Development Services in 2022

Smart Data Collective

With decentralized finance, users will maintain control over their assets by interacting with the ecosystem through peer-to-peer, decentralized applications (dapps). Fintech in particular is being heavily affected by big data. The financial sector receives, processes, and generates huge amounts of data every second.

Finance 130