Artificial Intelligence

Below are case studies and campaigns that successfully utilized AI.

The digital advertising landscape in 2024 is poised for significant evolution, shaped by technological advancements, shifting consumer behaviors, and emerging regulatory trends. As we look toward the coming year, these are the trends that are set to redefine the industry.

Experimenting with generative AI should be controlled and guided by clear and transparent policies, which are sorely lacking. Only 22 percent of companies have generative AI policies, and only 21 percent have an AI ethics policy or responsible AI principles, according to a recent survey.

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.

As they build their generative AI strategy, B2B marketers should be aware that the benefits of AI are often contingent on having clean data.

Speakers from Meta discussed the concept of provenance in generative AI, examining existing and emerging solutions for identifying AI-generated content.

As generative AI becomes a more integral aspect of brand marketing, the onus grows on brand managers to reduce and/or eliminate AI bias. Tech giants are quickly filling the void and building their own AI bias safeguards. However, the onus on combating AI bias ultimately falls on individual brands, which need human oversight to ensure the algorithms don't go rogue and the company doesn't end up in a reputational hole.

To help you make the most of AI for your marketing programs, we've compiled a compendium of practical use cases and real-world examples.

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).

Will generative AI spur a creative renaissance among ad agencies? Time will tell, but initial use shows value for clients.

Marketing Futures Podcast host Mike Berberich sits down with SiriusXM Media, Barometer, and ArtsAI to discuss a tool they created that leverages AI to analyze podcast episode content on a level previously unheard of.

In a world saturated with AI claims, how does a marketer navigate the sea of options and discern between hype and reality? This webinar is designed to empower marketers by demystifying AI in advertising.

CognitivePath schematizes five steps that can be taken across five areas to help your organization’s marketing function achieve AI maturity.

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.

As streaming media companies battle for profitability, AI and machine learning provide them with an opportunity to monetize their content in new and more profitable ways. For agencies and brands that advertise on streaming services, AI allows them to further personalize and customize their ads thanks to more precise targeting data and new forms of creative versioning. All of this should lead to a better experience for the consumer, who will potentially see fewer, more relevant ads.

While AI holds many promising capabilities to enhance the marketing function, there are clear causes for concern if AI is deployed irresponsibly. R3’s Craig Stein joined the Marketing Futures Podcast to discuss.

R3’s Craig Stein joined the Marketing Futures Podcast to break down the primary challenges and opportunities AI brings to the marketing spectrum.

Digital publishers are currently grappling with significant technological disruptions that are reshaping their industry. They face two major challenges: the deprecation of third-party tracking cookies, and the emergence of generative artificial intelligence (AI). These disruptions will require publishers to adapt and find new strategies to maintain their visibility, revenue, and user experience.

From machine learning algorithms to ChatGPT, artificial intelligence (AI) has been invaluable for companies looking to streamline operations and amplify work output, sales, and overall business success. AI-powered home products like cleaning robots and security systems have also helped make life easier and better for consumers. However, while the AI industry has brought forth innumerable benefits, it has also been found to pose some critical concerns.