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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. I think driving down the data, we can come up with some kind of solution.”

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3 things to get right with data management for gen AI projects

CIO Business Intelligence

And Doug Shannon, automation and AI practitioner, and Gartner peer community ambassador, says the vast majority of enterprises are now focused on two categories of use cases that are most likely to deliver positive ROI. The sandbox offers access to several different LLMs to allow people to experiment with a broad range of tools.

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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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Real-time artificial intelligence and event processing  

IBM Big Data Hub

In 2023, the IBM® Institute for Business Value (IBV) surveyed 2,500 global executives and found that best-in-class companies are reaping a 13% ROI from their AI projects—more than twice the average ROI of 5.9%. Non-symbolic AI can be useful for transforming unstructured data into organized, meaningful information.

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Leveraging user-generated social media content with text-mining examples

IBM Big Data Hub

Data extraction Once you’ve assigned numerical values, you will apply one or more text-mining techniques to the structured data to extract insights from social media data. A targeted approach will optimize the user experience and enhance an organization’s ROI. positive, negative or neutral).

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Your Data Architecture Holds the Key to Unlocking AI’s Full Potential

CIO Business Intelligence

In one Forrester study and financial analysis, it was found that AI-enabled organizations can gain an ROI of 183% over three years. Let’s look at the data architecture journey to understand why and how data lakehouses help to solve complexity, value and security. 1 But this is changing rapidly.

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Unlocking Trino’s Full Potential With Simba Drivers for BI & ETL

Jet Global

This is particularly valuable for teams that require instant answers from their data. Data Lake Analytics: Trino doesn’t just stop at databases. It directly queries structured and semi-structured data from data lakes , enabling operational dashboards and real-time analytics without the need for preprocessing.