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Unlocking value: Top digital transformation trends

IBM Big Data Hub

While digital transformation has been a trend for some years, emerging technologies have made this movement even more important. Companies are rethinking their business models to become more digital and competitive. Digital transformation is an important component of a modern organization’s business operations.

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Do You Know Where All Your Data Is?

Cloudera

In spite of diligent digital transformation efforts, most financial services institutions still support a loose patchwork of siloed systems and repositories. The top-line benefits of a hybrid data platform include: Cost efficiency. This minimizes upfront disruption while reducing maintenance costs over time.

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What’s the Current State of Data Governance and Automation?

erwin

Digital transformation and data standards/uniformity round out the top five data governance drivers, with 37 and 36 percent, respectively. Constructing a Digital Transformation Strategy: How Data Drives Digital. Top Five: Benefits of An Automation Framework for Data Governance.

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7 steps for turning shadow IT into a competitive edge

CIO Business Intelligence

Equally important is communicating with stakeholders how to onboard technology requests, sharing how departmental technology needs are prioritized, documenting stakeholder responsibilities when seeking new technologies, and providing the status of active programs. There may be times when department-specific data needs and tools are required.

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IBM and business partner bring intelligent equipment maintenance to automotive company with IBM Maximo

IBM Big Data Hub

hereafter as Shuto Technology) to help a joint venture Original Equipment Manufacturer (OEM) in China to obtain information in an accurate and cost-effective way for on-site technicians. IBM® recently announced that it has worked with its business partner, Beijing Shuto Technology Co.,

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Bridging the Gap Between Industries: The Power of Knowledge Graphs – Part I

Ontotext

It can apply automated reasoning to extract further knowledge and make new connections between different pieces of data. This model is used in various industries to enable seamless data integration, unification, analysis and sharing. and other technologies for digital transformation of manufacturing systems.

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6 tough AI discussions every IT leader must have

CIO Business Intelligence

IT leaders say they’re discussing everything from the costs of AI implementations to whether AI is the existential threat to humanity some fear. Similarly, the 2023 US AI Risk Survey Report from professional services firm KPMG found that data integrity was No.

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