Artificial Intelligence

How can generative AI be used for business? How can it be used responsibly?

How are brands using AI in their marketing efforts?

Michael Gorriarán of Arjuna Solutions, a major Artificial Intelligence services provider for organizations, discussed the latest ethical challenges with AI and solutions that marketers may not have factored into planning for the upcoming year.

If your team has been looking for a way to use AI more to support creative strategy, ChatGPT may actually be helpful for you. While it may seem counterintuitive to have an AI chatbot enhance creativity, the technology can help gather data, research, use the dialogue to plan campaigns and meetings, headlines, key words, copy, and images.

For marketing agencies interested in using the latest technology to drive growth, empower the workforce, and expand capabilities for clients, artificial intelligence (AI) offers the opportunity for greater executional efficiency, better distribution of valued resources, and more insightful data to deliver desired outcomes.

Mari Joller, founder and CEO of the AI-powered platform Snackable, gives an example from her career of what an unintended consequence of AI could be and offers some advice for how marketers and developers can minimize the negative effects of these consequences.

Across all industries, most successful companies now rely on artificial intelligence (AI) to streamline their operations. For example, the automation of business processes has enabled companies to perform more tasks in less time, resulting in lower labor costs, increased output, and higher profit margins. At the same time, machine learning and AI-driven analytics have made it possible for organizations to make more informed and effective marketing decisions based on high-level insights pulled from data.

Katrin Ribant, CEO of Multifaktorial, takes us behind the scenes of the AI voice generation platform Anyword on the latest episode of the Marketing Futures Podcast.

Can you trust the decisions made by an AI? This webinar provides very tangible (and holistic) steps that organizations can take to best leverage this technology to your advantage WHILST mitigating the risks.

Marketing Futures conducted a primary research study that explored how marketers plan to leverage emerging trends and innovative marketing tactics in 2022 and beyond. Analysis of this study’s data revealed two very different groups of marketers heading in divergent directions: the “laggards” and “hypergrowth” marketers.

Excerpted from the ANA Future of Marketing Report, this four-step action plan was designed to empower marketers to drive business growth regardless of their current situation and future orientation.

Deloitte data scientist John Friedmann reviewed some machine learning techniques, including feature engineering, classification models, and deep learning.

ANA’s Ask the Expert research service answers the question, “What capabilities should a modern marketing organization have to be successful?"

When AI-based algorithms were introduced to the marketing world they were an immense game changer: they upped the ante on how brands could target their existing audiences, and they sped up the process of understanding how to build new ones. As machine learning grew exponentially, however, it also lost much of its human touch. Without a balance of human input and safety checks, algorithms can adopt human biases (including hate speech), and cannot adapt fast enough to real-time crises like COVID-19. The resources here discuss how marketers can best work with algorithms to ensure they reach desired targets with efficient, optimized results, and avoid communicating the wrong messages.

In 2020, as consumers quickly began adopting new shopping habits to accommodate peak stay-at-home pandemic life, retailers were forced to expand their digital platforms to stay connected to consumers. Retail Media Networks (RMN) surged as a result, providing brands with an easy and effective way to engage their audiences across multiple channels in highly targeted and personalized ways.

Most organizations have invested heavily in building their sustainer programs over the last few years. For many organizations, these are a vital component of their revenue stream, and most have diversified their multichannel marketing efforts to ensure that the program will continue its growth trajectory.

Using AI technology, Dove delved into the public photos of people who commented on its social media posts and created a video that reviewed their past hairstyles.

Shampoo brand Clear capitalized on AI-powered predictive modeling to help soccer fans anticipate the outcomes to their matches and thereby alleviate their anxiety.

With the launch of its Hard Rock Blackjack Casino game, Hard Rock International made a foray into mobile marketing for the first time in the brand’s history. To ensure success, Hard Rock used a test-and-learn methodology combined with an AI-powered creative analysis to iterate and optimize its campaign efforts.

With a tumultuous 2020 hurricane season predicted in the Atlantic, State Farm came together with IBM Watson to reach consumers in one-to-one conversations on The Weather Channel app and weather.com and deliver personalized safety and preparedness tips to help them stay safe.