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ArticleData-rich organizations turn focus to ethical data mining
As data analytics has increasingly become a core component of organizations' strategies, concerns have arisen around how data is mined. Experts offer tips. Read Now
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ArticleGDPR privacy concerns still brewing on law's first birthday
The first year of the much-debated EU data protection rule was subdued. High-profile fines for privacy breaches have yet to come, but regulators are starting to take action. Read Now
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ArticleData scientists urged to take AI security threats more seriously
AI security hasn't been the top concern of most data scientists using machine learning. But as these systems move closer to the core of the business, security is becoming critical. Read Now
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ArticleGDPR checklist items data managers might have overlooked
Now that the General Data Protection Regulation has been implemented, it's a good time for organizations to make sure they haven't missed any GDPR best practices. Read Now
Editor's note
GDPR added new data privacy and data protection compliance requirements for companies when it took effect May 2018 in the European Union. Similar laws are coming elsewhere, most notably the California Consumer Privacy Act in January 2020.
Efforts to comply with the laws are centered "in the trenches of data management," said Malcolm Chisholm, a consultant at First San Francisco Partners. And you can't focus on one and magically comply with all of them, he warned during a webinar hosted by the Data Governance Professionals Organization.
The growing use of AI and advanced analytics tools further complicates data protection and privacy. This guide offers insight and advice on the process.
1Balancing act on data protection, privacy and ethics
Privacy and data protection compliance strategies must address the use of customer data and other personal information in data mining and analytics applications. We report on the challenges of balancing data usage and proper protections, plus data management tools that can help.
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Article
Data-rich organizations turn focus to ethical data mining
As data analytics has increasingly become a core component of organizations' strategies, concerns have arisen around how data is mined. Experts offer tips. Read Now
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Article
6 tips for effective customer data mining
Digging into customer data can improve sales opportunities -- but how do you balance that against data privacy concerns? Get insights from data professionals. Read Now
2Meeting the data demands of GDPR and CCPA
New laws, particularly GDPR and the California Consumer Privacy Act (CCPA), are ratcheting up the data privacy and protection measures that companies need to implement. We provide guidance on what's required and how to manage data protection compliance efforts.
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Article
GDPR privacy concerns still brewing on law's first birthday
The first year of the much-debated EU data protection rule was subdued. High-profile fines for privacy breaches have yet to come, but regulators are starting to take action. Read Now
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Article
How will the GDPR and AI clash affect enterprise applications?
Compliance rules for GDPR and AI implementation may not seamlessly work together. Experts say AI's automated decisions on customer data are risky and need to be explainable. Read Now
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Article
CCPA compliance begins with data inventory assessment
In this SearchCIO Q&A, multiple experts sound off on major questions businesses have about CCPA compliance ahead of its January 2020 enforcement date. Read Now
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Article
GDPR checklist items data managers might have overlooked
Now that the General Data Protection Regulation has been implemented, it's a good time for organizations to make sure they haven't missed any GDPR best practices. Read Now
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Article
How to manage data and the GDPR right to be forgotten
The General Data Protection Regulation requires organizations to delete personally identifiable information if customers ask -- which can be a challenge. Experts offer four tips. Read Now
3Data privacy and protection in AI applications
Companies are increasingly deploying AI technologies in advanced analytics initiatives, chatbots and other applications -- a move that creates new privacy and data protection issues. We examine the intersection between AI adoption and the need to protect data.
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Article
Data scientists urged to take AI security threats more seriously
AI security hasn't been the top concern of most data scientists using machine learning. But as these systems move closer to the core of the business, security is becoming critical. Read Now
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Article
Human rights advocate talks GDPR, AI and data privacy laws
Human rights advocate Bjørn Stormorken talks about the importance of data privacy laws, and why stronger laws and more data literacy are necessary today. Read Now
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Article
Address anonymity and data privacy in chatbot security
A key to successful enterprise chatbot security is to program your chatbot to recognize personal or sensitive information and treat it accordingly. Read Now
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Article
Enterprise consumer relationships are building trust in AI
Transparency is an increasingly important component of consumer trust. If you want to win over consumers whose data is being collected, start with explainability and collaboration. Read Now
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Article
How data privacy and marketing coexist when influencing the public
The author of a new book on the intersection of advertising and marketing with AI and data privacy talks about influencing the public with technology. Read Now