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Generative AI is pushing unstructured data to center stage

CIO Business Intelligence

When I think about unstructured data, I see my colleague Rob Gerbrandt (an information governance genius) walking into a customer’s conference room where tubes of core samples line three walls. While most of us would see dirt and rock, Rob sees unstructured data. have encouraged the creation of unstructured data.

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8 data strategy mistakes to avoid

CIO Business Intelligence

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Here are some data strategy mistakes IT leaders would be wise to avoid.

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Innovative data integration in 2024: Pioneering the future of data integration

CIO Business Intelligence

AI-powered data integration tools leverage advanced algorithms and predictive analytics to automate and streamline the data integration process. According to a recent report by InformationWeek , enterprises with a strong AI strategy are 3 times more likely to report above-average data integration success.

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Prioritizing Data: Why a Solid Data Management Strategy Will Be Critical in 2024

Ontotext

In 2023, data leaders and enthusiasts were enamored of — and often distracted by — initiatives such as generative AI and cloud migration. Without this, organizations will continue to pay a “bad data tax” as AI/ML models will struggle to get past a proof of concept and ultimately fail to deliver on the hype.

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Automated Sales & Underwriting Strategies can Transform Insurance

bridgei2i

Automated Sales & Underwriting Strategies can Transform Insurance. The automated process can then be used to parse structured and unstructured data sources such as IoT data, claims data, physical proofs, social data, life health data, etc.

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Governance and Fighting the Curse of Complexity

CIO Business Intelligence

Moreover, new sources of ever expanding data produced by generative AI and the unfettered growth of unstructured data introduce even more challenges. Password strategies. Data at rest. Data at rest. Data in motion. There’s the complexity of security in the organization. Incident response plans.

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Will generative AI make the digital twin promise real in the energy and utilities industry?

IBM Big Data Hub

Digital twins and integrated data For the presentation layer, you can leverage various capabilities, such as 3D modeling, augmented reality and various predictive model-based health scores and criticality indices. IBM brings together vast transformation experience, industry expertise and proprietary and partner technologies.