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Agile Technology and Big Data Improve the State of Cybersecurity

Smart Data Collective

The risk of data breaches is rising sharply. The number increased 56% between 2017 and 2018. Big data technology is becoming more important in the field of cybersecurity. As the demand for cybersecurity solutions grows, the need for data-savvy experts will rise accordingly. Categorizing data.

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Workers’ Compensation Platform Uses Big Data For Better Outcomes

Smart Data Collective

We have talked extensively about the fields that rely most heavily on big data. The insurance industry is one of the companies investing the most in big data technology. Exactly one year ago today, SNS Telecom & IT published a report highlighting the demand for big data in the insurance industry.

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Responsible AI can revolutionize tax agencies to improve citizen services

IBM Big Data Hub

But the rates of exploration of AI use cases and deployment of new AI-powered tools have been slower in the public sector because of potential risks. Driving innovation for tax agencies with trust in mind Tax or revenue management agencies are a part of the public sector that might likely benefit from the use of responsible AI tools.

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Benevolence of Assistive AI in Decreasing Natural Disaster Damage

Smart Data Collective

A few years ago, we talked about the benefits of using AI and big data in disaster relief. In seven of the last 10 years, there have been 10 or more weather-related disasters with costs exceeding $1 billion each. Benefits of Assistive AI in Fighting Natural Disaster Damage. billion a year.

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18 Examples Of Big Data Analytics In Healthcare That Can Save People

datapine

Big data has changed the way we manage, analyze, and leverage data across industries. One of the most notable areas where data analytics is making big changes is healthcare. In this article, we’re going to address the need for big data in healthcare and hospital big data: why and how can it help?

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Data Governance and Metadata Management: You Can’t Have One Without the Other

erwin

Therefore, most enterprises have encountered difficulty trying to master data governance and metadata management, but they need a solid data infrastructure on which to build their applications and initiatives. Data Governance Attitudes Are Shifting. The Benefits of Automating Data Governance and Metadata Management Processes.

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Balancing AI: Do good and avoid harm

IBM Big Data Hub

.” Read the “Presidio AI Framework” paper to learn how to address generative AI risks with guardrails across the expanded AI life cycle As generative AI continues to go mainstream, organizations are excited about the potential to transform processes, reduce costs and increase business value.