Generative AI: Resources

How are B2B marketers utilizing artificial intelligence in their marketing efforts?

Below are case studies and campaigns that successfully utilized AI.

How has the rapid development of artificial intelligence, especially generative AI, affected marketing and brands?

As concerns over data security and consumer privacy continue to grow, marketers are confronted with a unique challenge: how to engage audiences effectively while respecting their privacy and remaining in compliance with regulatory legislation across geographies.

AI, like a complex musical instrument, can produce a range of outputs depending on how you play it. To ensure you're staying in tune, Marketing Futures host Mike Berberich is here with some tips to help you get the most out of AI.

In this video, Greg Verdino — the founder of marketing AI consultancy CognitivePath and a professional futurist who has been forecasting AI's impact on marketing for nearly a decade — shared his take on the top AI trends every marketer needs to know to thrive in 2024 (and beyond).

Greg Verdino — the founder of marketing AI consultancy CognitivePath and a professional futurist who has been forecasting AI's impact on marketing for nearly a decade — shared his take on the top AI trends every marketer needs to know to thrive in 2024 (and beyond).

Marketing Futures podcast host Mike Berberich shares his step-by-step process for how to build an AI ghostwriter, transforming your content writing process from a grueling, multi-hour process into a breezy 15-minute task.

Use this cheat sheet to learn about best practices for leveraging Generative AI for Content Marketing at your company.

Use this checklist to help you leverage generative AI for content marketing at your company.

ANA’s latest Quick Wins Package includes a high-level cheat sheet and a comprehensive, customizable checklist to guide you through every step of integrating generative AI platforms into the marketing function, specifically content marketing campaigns.

2024 will see a massive arms race across all corners of the market. From creative production to audience targeting to analytics and content creation, AI will become pervasive. Advertisers have the most to gain, including lower prices, more efficiency, more precision and better insight.

The vast majority of the advertising industry agrees that a state-led approach to data privacy legislation does not work. But what might privacy look like in an ideal future, and is AI the answer?

Marketing Futures podcast host Mike Berberich shares some tips for how you can make yourself irreplaceable, even in a professional world drive by algorithms and neural networks.

The generative AI market is growing rapidly and is estimated to increase from $40 billion to $1.3 trillion by 2032. Generative AI refers to artificial intelligence that learns the patterns of content created by people and uses that information to create new content, such as music and videos. Generative AI is touted to boost efficiency, improve customization, and expand creative expression.

Generative AI is expanding, accelerating, and automating the creative and content development process in ways brand marketers could never have imagined.

The potential of generative AI to revolutionize marketing has been widely reported and discussed this year. McKinsey has estimated that gen AI could increase the productivity of the marketing function by a value between 5 and 15 percent of total marketing spend, while a Bloomberg Intelligence report suggested gen AI-driven ad spend is set to grow by 125 percent to $192 billion over the next 10 years.

In today's fast-paced and technology-driven world, artificial intelligence (AI) has emerged as a transformative force that holds the potential to revolutionize the way we work, make decisions, and interact with technology. AI promises greater efficiency, data-driven insights, and enhanced productivity, making it a valuable tool for businesses across various industries. Yet, despite the promises of this cutting-edge technology, many leaders find themselves grappling with the challenges of effectively implementing AI in the workplace.

A growing number of small- and medium-sized businesses (SMBs) are betting on generative AI and hoping to reap the benefits. But the technology is still evolving and prone to occasional "hallucinations" and inconsistent output. SMB marketers should start to experiment with employee-facing applications, rather than customer-facing use cases, to reduce the risk of negatively affecting revenue as they iron out any bugs.

Generative AI has captured outsized attention from investors and enterprise leaders. To help CMOs ensure their GenAI investments produce measurable gains, the ANA Global CMO Growth Council surveyed its delegates to understand how they are approaching GenAI.