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AI

Rex Briggs presents The AI Conundrum (MIT Press, 2024) to marketers at MMA Global's CMO/CEO Summit

The AI Conundrum is a book that will be published by MIT Press in 2024. It is co-authored with Caleb Briggs, who originated the central thesis of the book that artificial intelligence does not work the same as human intelligence and therefore has different strengths, weaknesses, and risks. To take the self-assessment, visit www.AI-conundrum.com and click the link at the top of the page. The assessment is 12 questions and provides immediate scoring upon completion.
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The dynamic landscape of GenAI has been a subject of intrigue, anticipation, and speculation for many. As we stand at the cusp of a technological revolution, it becomes imperative to understand the perceptions, aspirations, and apprehensions surrounding this transformative technology. The MMA Global's comprehensive report, based on extensive surveys with over 100 companies, offers a timely snapshot of the state of GenAI as of July 2023.

Released: 
August, 2023
File Size: 
3.9 MB
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Originally published on Think with Google by Kristen O’Hara, June 2023.

We’re in the middle of a third paradigm shift. The first shift was the arrival of the internet, with its revolution in information and services. The second was the explosion of mobile computing, driven by the adoption of smartphones. And today, advances in artificial intelligence (AI) promise to deliver transformations that are even more profound, for both consumers and businesses.

The Generative AI Revolution is Happening Now.

In today’s rapidly changing digital landscape, brands—and the marketers they employ— are constantly looking for new ways to create better experiences for their customers. In turn, they must out-compete their competitors in a crowded marketplace. For years, AI has been heralded as the next big thing in marketing, but use cases were limited. What’s more, technology thus far hasn’t been able to alter a marketer’s day-to-day workflow in a meaningful or fundamental way.

Released: 
August, 2023
File Size: 
1.5 MB
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Learn how to adopt an intentional strategy and enhance business growth with generative AI. This guide has the main steps to get your business started, such as:

  • Identifying the challenges you want to solve
  • Deciding who needs to be involved
  • Outlining processes
  • Assessing generative AI tools
  • Establishing how you’ll get your workforce started
Released: 
August, 2023
File Size: 
5.4 MB
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As the world stands on the precipice of what has been called the Fourth Industrial Revolution, it is our privilege at the MMA Global to present this first report in a series, resulting from our benchmark study on the state of AI application in digital transformation. A reflection of collective wisdom from our Chief Digital Officers Insight Collective (CINC), this report traces the contours of the AI landscape as seen by those at the helm of digital transformation, the Chief Digital Officers (CDOs).

Released: 
June, 2023
File Size: 
4.5 MB
Region: 
Released: 
July, 2023
File Size: 
3.1 MB
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Revolution Series: Boosting Advertising Effectiveness Using AI-Driven Personalization

Jun 29, 2023 · Global
This groundbreaking research shows how applying AI to creative can deliver radical gains in advertising performance. Learn how the MMA’s Consortium for AI Personalization (CAP) guides how AI can be used on creative personalization, using only limited data, to deliver higher conversion than rules-based dynamic creative optimization. We will explore how these learnings can be scaled for real-world use, and how we might also use identity to further augment performance.

Revolution Series: Boosting Advertising Effectiveness Using AI-Driven Personalization

This groundbreaking research shows how applying AI to creative can deliver radical gains in advertising performance. Learn how the MMA’s Consortium for AI Personalization (CAP) guides how AI can be used on creative personalization, using only limited data, to deliver higher conversion than rules-based dynamic creative optimization. We will explore how these learnings can be scaled for real-world use, and how we might also use identity to further augment performance.
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