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Data privacy examples

IBM Big Data Hub

An online retailer always gets users’ explicit consent before sharing customer data with its partners. A navigation app anonymizes activity data before analyzing it for travel trends. One cannot overstate the importance of data privacy for businesses today. The app heavily encrypts all user financial data.

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New York Department of Financial Services Issues Guidance Regarding Life Insurers’ Use of External Consumer Data in Underwriting

Data Matters

On January 18, 2019, the New York State Department of Financial Services (NYDFS) issued Circular Letter 2019-1 (the Circular Letter), addressing insurers’ use of external consumer data and information sources in underwriting for life insurance. Unlawful Discrimination.

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Oracle Critical Patch Update for January 2022 will fix 483 new flaws

Security Affairs

.” The CPU will address critical vulnerabilities in Oracle Essbase, Graph Server and Client, Secure Backup, Communications Applications, Communications, Construction and Engineering, Enterprise Manager, Financial Services Applications, Fusion Middleware, Insurance Applications, PeopleSoft, Support Tools, and Utilities Applications.

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How IBM and AWS are partnering to deliver the promise of AI for business

IBM Big Data Hub

In today’s digital age where data stands as a prized asset, generative AI serves as the transformative tool to mine its potential. Businesses globally recognize the power of generative AI and are eager to harness data and AI for unmatched growth, sustainable operations, streamlining and pioneering innovation.

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Keeping Up with New Data Protection Regulations

erwin

Keeping up with new data protection regulations can be difficult, and the latest – the General Data Protection Regulation (GDPR) – isn’t the only new data protection regulation organizations should be aware of. A number of high-profile data breaches and scandals have increased public awareness of the issue.

GDPR 100
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The most valuable AI use cases for business

IBM Big Data Hub

Promote cross- and up-selling Recommendation engines use consumer behavior data and AI algorithms to help discover data trends to be used in the development of more effective up-selling and cross-selling strategies, resulting in more useful add-on recommendations for customers during checkout for online retailers.

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Episode 212: China’s Stolen Data Economy (And Why We Should Care)

The Security Ledger

In this episode of the podcast (#212), Brandon Hoffman, the CISO of Intel 471 joins us to discuss that company’s latest report that looks at China’s diversified marketplace for stolen data and stolen identities. The post Episode 212: China’s Stolen Data Economy (And Why We Should Care) appeared first on The Security Ledger with Paul F.