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Data privacy examples

IBM Big Data Hub

These are just some examples of how organizations support data privacy , the principle that people should have control of their personal data, including who can see it, who can collect it, and how it can be used. For example, they can decline to have their data shared with third parties while allowing the app to generate personalized offers.

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Examples and uses of GIS

IBM Big Data Hub

Urban planning Governments use GIS data and GIS-based solutions for urban planning: zoning and land use projects, natural disaster and health event response, roadway system and building design, utility distribution, energy production, and waste and resource management.

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IBM Cloud delivers enterprise sovereign cloud capabilities

IBM Big Data Hub

As we see enterprises increasingly face geographic requirements around sovereignty, IBM Cloud® is committed to helping clients navigate beyond the complexity so they can drive true transformation with innovative hybrid cloud technologies. We believe this is particularly important with the rise of generative AI.

Cloud 80
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Renewable energy in action: Examples and use cases for fueling the future

IBM Big Data Hub

Here, we will look at examples and applications of renewable energy across a variety of industries, its impact on energy systems and the energy technologies that will drive its use in the future. Through AI, IoT and analytics, this cloud-based platform can optimize performance and reduce operational costs. trillion in 2023.

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Partner Webinar: A Framework for Building Data Mesh Architecture

Speaker: Jeremiah Morrow, Nicolò Bidotti, and Achille Barbieri

Yet they are continually challenged with providing access to all of their data across business units, regions, and cloud environments. In this session, you will learn: How the silos development led to challenges with data growth, data quality, data sharing, and data governance (an example of datamesh paradigm adoption).

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What can AI and generative AI do for governments?

IBM Big Data Hub

When implemented in a responsible way—where the technology is fully governed, privacy is protected and decision making is transparent and explainable—AI has the power to usher in a new era of government services. AI’s value is not limited to advances in industry and consumer products alone.

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Build a Cloud-First Content Management Strategy in Three Simple Steps

AIIM

Global research and advisory firm, Gartner, predicts that by 2024 more than 45% of IT spending will shift from legacy on-premises solutions to the cloud. Cloud infrastructure spending is expected to jump from $63 billion in 2020 to $81 billion by 2022. Benefits of a Cloud-First Data Management Strategy. Who needs to access it?

Cloud 189