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The IT dilemma: Balancing data privacy and personalization in customer experience

Zendesk

Unfortunately, security incidents are more and more common, which means many companies are leaning on trust to galvanize their customer relationships. Trust is the cornerstone of customer relationships, but in today’s changing data privacy and security landscape, it’s hard to earn and easy to lose.

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Importance of data privacy and compliance

Nutshell

That’s why data privacy and compliance are incredibly important facets of collecting, understanding, and storing customer data. What is data privacy? Data privacy refers to the handling of personal information , also known in marketing as personally identifiable information (PII). First, you’re going to lose customers.

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EU-US Data Privacy Framework and Adequacy Decision

Zendesk

Zendesk applauds the adoption of the adequacy decision for the EU-US Data Privacy Framework by the European Commission. This provides greater legal certainty to thousands of companies that depend on EU-US data transfers. What does the new EU-US Data Privacy Framework address? Have questions?

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EU-US data transfers after Schrems II

Zendesk

We recognize the importance of customer trust and of customers’ privacy and the security of their data. Global privacy regulations are evolving at a rapid pace and we are focused on providing the tools our customers need to enable compliance. Please contact your Zendesk account executive or our privacy team at euprivacy@zendesk.com.

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Zendesk legal terms update 2022

Zendesk

As a service-first company, we update our terms and policies on an annual basis, driven by customer feedback, evolving legal standards, and product updates. If you would like more information about our privacy and security practices, please visit our Trust Center Website. Privacy Notice. A summary of the key updates is below.

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What is AI transparency? A comprehensive guide

Zendesk

AI transparency requirements Levels of AI transparency Regulations and standards of transparency in AI The benefits of AI transparency Challenges of transparency in AI (and ways to address them) AI transparency best practices Examples of companies practicing transparent AI Frequently asked questions What’s next for AI transparency?

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Unlocking the Power of Single Customer Views (SCV)

Nutshell

Companies with higher volumes of data may also opt for a dedicated customer data platform (CDP). Compliance and privacy concerns In today’s world, protecting customer data is more critical than ever. Choose a platform to use as a unified customer data source Picking the right platform for your SCV is crucial.