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Optimizing for Search Amid the Data Revolution and Increasing Complexity of Technical SEO in 2022

Brightedge

When we talk about SEO, the content optimization half of the equation gets a lot of the attention, but in 2022 and for the foreseeable future, technical SEO presents an equal if not bigger opportunity (or barrier, depending on how brands approach it) for maximizing digital discovery. Search behavior is customer intent.?The

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Artificial Intelligence in Marketing: Finding Efficiencies in Your Toolkit

SmartBug Media

Ethical Concerns & Bias Transparency, privacy protection, creative infringement, and other ethical considerations are crucial when it comes to AI adoption in consumer-facing applications. At the time of writing, one crucial question being asked right now is, “What happens when generative AI starts using its own outputs as inputs?”

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The State of Global Privacy Legislation with Adam Woods, COO

Choozle

From industry giants like Google and Apple adapting new policies and technologies for consumer privacy, as well as comprehensive US state privacy laws and a push for national legislation, data privacy is here to stay. Europe’s General Data Protection Regulation (GDPR). State laws.

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We’ll Take the B2C Special: Fully Personalized and Self-Directed Email Experiences

Litmus

Prioritizing personalization, zero and first-party data capture as we see privacy measures come into effect is one of the major challenges marketers face–and it’s not always an easy balance to strike. How will marketing change with the eventual loss of third-party cookies and other data privacy measures?

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Defining Your Email Marketing Through Data

Litmus

When Apple’s Mail Privacy Protection (MPP) came into effect last fall , email marketers in all industries were made to reconsider their entire analytics strategy. Optimize along the way by experimenting with different content formats, or by removing barriers like content gates in an effort to increase engagement.

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Benefits of Democratizing AI for Businesses

Valasys

Understanding Democratizing AI AI democratization seeks to eliminate barriers to entry, such as high costs, technical complexity, and limited expertise, making AI accessible to businesses that may not have had the resources or expertise to adopt AI in the past. Additionally, implementing AI governance policies and regulations is essential.