Remove Ethics Remove Privacy Remove Touchpoints
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How to Train Your Sales Teams on Ethical AI Use [Expert Insights]

Hubspot

But how do you do that ethically? Disregard ethics, and you may find unwanted consequences as severe as a lawsuit or damaged brand reputation. The good news: There’s a way to leverage AI with ethics intact, and we’re showing you exactly how to do so. In this article, find the ethical concerns and best practices for using AI.

Ethics 74
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How to Lock Your Digital Door: Data Privacy Best Practices in 2024

Salesforce Marketing Cloud

Safeguarding against such risks requires a proactive approach: with strong data privacy, governance, and precaution. It’s important to note that data privacy is different from data security. Keep up with trends Why is data privacy important? Fortunately, strong data privacy practices foster and maintain trust.

Lock-In 59
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Marketing leaders, are you actually ready for AI?

Martech

But as much as generative AI has captured the imagination, AI’s potential for transforming the customer experience across almost every industry and customer touchpoint is what will ultimately ignite excitement. Content ethics. Communicating how your company thinks about AI ethics may not be top of mind.

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How Personalized Brand Experiences Help Drive Customer Loyalty

Webbiquity

Balance personalization with privacy concerns The relationship between personalization and data security in your organization should be symbiotic. Adopt best practices for ethical data use and transparency to maintain customer trust. Ensure consistency across touchpoints Sustaining brand loyalty requires consistency in brand messaging.

Loyalty 260
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How to protect customer trust when using AI

Martech

Consider these ways customers often react at different touchpoints when AI is involved. Fair practices, customer-centric policies and sometimes even commitment to ethical causes can all demonstrate good intentions. Dig deeper: How to build customer trust through data privacy and security 4. ‘Am

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Examining how AI can improve customer-brand relationships

ClickZ

By analyzing customer data from various touchpoints, such as social media, ecommerce websites, and physical stores, we are able to gain insights into customer preferences, behaviors, and purchase histories. Many people are concerned about the potential risks associated with AI, such as the loss of jobs or invasion of privacy.

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Don’t Be Fooled: The Cookie’s Encore Is Still the End of the Show

Digilant

The merged privacy-compliant data will offer advertisers a precise way to segment, activate, and measure consumer behaviors. AI can analyze vast amounts of data to identify patterns, predict behaviors, and create highly accurate user profiles without compromising privacy. That’s where we’re headed. There’s no point in looking back.