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The advantages and disadvantages of private cloud 

IBM Big Data Hub

The popularity of private cloud is growing, primarily driven by the need for greater data security. Across industries like education, retail and government, organizations are choosing private cloud settings to conduct business use cases involving workloads with sensitive information and to comply with data privacy and compliance needs.

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Why companies need to accelerate data warehousing solution modernization

IBM Big Data Hub

The dependence on remote internet access for business, personal, and educational use elevated the data demand and boosted global data consumption. Additionally, the increase in online transactions and web traffic generated mountains of data. Enter the modernization of data warehousing solutions.

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Regulatory Update: NAIC Summer 2019 National Meeting

Data Matters

The National Association of Insurance Commissioners (NAIC) held its Summer 2019 National Meeting (Summer Meeting) in New York City from August 3 to 6, 2019. The Summer Meeting was highlighted by the following activities. Under the Revised CFR Model Laws, a “reciprocal jurisdiction” includes (a) a non-U.S.

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Five open-source AI tools to know

IBM Big Data Hub

Open-source AI projects and libraries, freely available on platforms like GitHub, fuel digital innovation in industries like healthcare, finance and education. Readily available frameworks and tools empower developers by saving time and allowing them to focus on creating bespoke solutions to meet specific project requirements.

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Generative AI use cases for the enterprise

IBM Big Data Hub

The process demands high-level skills and resources, but the results are more likely to be compliant, custom-tailored and business-specific. The best option for an enterprise organization depends on its specific needs, resources and technical capabilities.

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How Content Services Are Enabling the Digital Transformation of Electric Utilities

AIIM

As with other sectors, a rising tide of information chaos threatens the promise of big data and the opportunity to innovate. To accomplish both, they must transform into data-driven ecosystems that are 3D – Digitized, Decarbonized, and Decentralized. Decentralization then is a key driver transforming energy.

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Conversational AI use cases for enterprises

IBM Big Data Hub

Enterprises can use NLU to offer personalized experiences for their users at scale and meet customer needs without human intervention. The value of conversational AI According to Allied market research (link resides outside IBM.com), the conversational AI market is projected to reach USD 32.6 billion by 2030.