Artificial intelligence (AI) has started transforming every aspect of our professional and personal lives. The marketing industry is not immune to this digital transformation, with leading brands starting to embrace the opportunities the technology brings. Gaining a better understanding of customer behavior is one of the core benefits of AI in marketing. For years, marketers have gathered and analyzed data about customer behavior. Their goal has remained largely unchanged -- extrapolate patterns and predict which products and services will be most popular with a certain audience.

Marketing and technology have been great friends for the better part of the last 15 years. It seems it will be more critical in the coming years. Artificial Intelligence (AI), data privacy, and big data are not crucial to the customer experience. A recent study by the University of Florida College of Journalism and Communications scholars found that consumers' understanding of AI in marketing is intuitive but scattered. Consumers struggle to clarify the differences between AI and related terms like machine learning, deep learning, natural language processing, and robotics.

Measuring marketing's many contributions to revenue growth is becoming more accurate and real-time thanks to analytics and machine learning. Knowing what's driving more Marketing Qualified Leads (MQLs), Sales Qualified Leads (SQL), how best to optimize marketing campaigns, and improving the precision and profitability of pricing are just a few of the many areas machine learning is revolutionizing marketing. The best marketers are using machine learning to understand, anticipate and act on the problems their sales prospects are trying to solve faster and with more clarity than any competitor. Having the insight to tailor content while qualifying leads for sales to close quickly is being fueled by machine learning-based apps capable of learning what's most effective for each prospect and customer. Machine learning is taking contextual content, marketing automation including cross-channel marketing campaigns and lead scoring, personalization, and sales forecasting to a new level of accuracy and speed.

In this article, Forbes outlines how machine learning is revolutionizing the marketing industry. Machine learning encompasses several marketing capabilities made possible through digital marketing tools. Click through to read the full article and learn how to integrate machine learning into your marketing plan.

The stats make the case: 84% of marketing organizations are implementing or expanding AI and machine learning in 2018. Seventy-five percent of enterprises using AI and machine learning enhance customer satisfaction by more than 10% and three in four organizations implementing AI and machine learning increase sales of new products and services by more than 10%, according to Capgemini. The study also found that 79% of organizations implementing AI generate new insights and better analysis. Organizations are using AI for a number of strategic purposes including supporting new products, generating leads, creating highly target marketing activities, and identifying lookalike high-value customers. The Capgemini report also identified key technologies that fall under the AI umbrella such as language learning, measurement of human characteristics, analysis of image and video content and digital assistants.

Measuring marketing's many contributions to revenue growth is becoming more accurate and real-time thanks to analytics and machine learning. Knowing what's driving more Marketing Qualified Leads (MQLs), Sales Qualified Leads (SQL), how best to optimize marketing campaigns, and improving the precision and profitability of pricing are just a few of the many areas machine learning is revolutionizing marketing. The best marketers are using machine learning to understand, anticipate and act on the problems their sales prospects are trying to solve faster and with more clarity than any competitor. Having the insight to tailor content while qualifying leads for sales to close quickly is being fueled by machine learning-based apps capable of learning what's most effective for each prospect and customer. Machine learning is taking contextual content, marketing automation including cross-channel marketing campaigns and lead scoring, personalization, and sales forecasting to a new level of accuracy and speed.