Artificial Intelligence

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.

American Express shared how it leverages AI and human expertise to review its creatives.

In this video, American Express shared how it leverages AI and human expertise to review its creatives.

Before COVID 19, getting health care meant physically going to the doctor or a hospital. However, advances in digital technology not only allow patients to receive health care remotely, but to take more control in their health overall. What does this transformation mean outside of the industry, particularly for marketers?

How did a Fortune 500 financial institution move beyond clicks and drive engagement of their owned content? By leveraging the potential of Artificial Intelligence (AI) to understand what content was resonating with their consumers and serving it up at the perfect time.

In this session, Jim Lecinski, associate professor of marketing at Northwestern University and author of The AI Marketing Canvas, provided a five-stage roadmap for implementing AI into marketing, sharing insights and action steps for brands.

In this webinar, Google product experts illustrated how they are using machine learning models to help future-proof measurement while upholding the user’s experience, respecting their privacy, and protecting their data.