AI Articles and Reports about Marketing and advertising

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Artificial Intelligence for Content Marketing and Content Creation

Artificial Intelligence for Content Marketing and Content Creation

Episode Summary: Natural Language Processing (NLP) can be applied to tasks such as customer service handling or in chatbots to answer fact based questions. Another emerging application for NLP is in content marketing and content production.

Dan Faggella presentation - How Will Artificial Intelligence Affect the Future of Retail?

How Will Artificial Intelligence Affect the Future of Retail?

After a presentation at the Shop!Association’s national conference late last year, I had plenty of time to chat with retail business people about their own ideas about AI’s uses, and the trends that matter most. This prompted me to gather my thoughts and combine the ideas of retailers with the AI-in-retail research we’ve done, and put together a piece to help retail vendors make sense of the next 2-3 years of AI’s influence in retail.

AI for Social Influence and Behavior Manipulation with Dr. Charles Isbell

AI for Social Influence and Behavior Manipulation with Dr. Charles Isbell

Introduction: In this episode of AI in Industry, we explore how artificial intelligence can be use to manipulate human behavior - in gaming and in business. We explore how game designers use psychology and machine learning to drive their own desired outcomes, leaving users to "feel" in control.

Artificial Intelligence in Entertainment 950×540

AI in Movies, Entertainment, and Visual Media – 5 Current Use-Cases

The entertainment and media (E&M) industry is a diverse sector composed of multiple segments including film, television and media streamed online. By 2021, the U.S. E&M industry is projected to reach $759 billion in revenue,  increasing at a compound annual growth rate (CAGR) of 3.6 percent.

Machine Vision for Advertising - Possibilities in Social and Online Media

Machine Vision for Advertising – Possibilities in Social and Online Media

Episode Summary: How can machine learning help us advertise through social media? In this episode, Thomas Jelonek, CEO of Envision.ai, talks to us about how in the next five years, machine learning might automate the laborious guess-and-check process of finding visual content with which users can engage. Right now, finding images and videos that will best generate engagement is a task reserved for a human. He or she shifts through images and video clips that may work for an audience based on anecdotal evidence and perception of past post success. Learn how, according to Thomas, machine learning could help you save time and money, generate you a better ROI, and build you a larger list with more accurate targeting on social media.

Facial Recognition Applications - Security, Retail, and Beyond

Facial Recognition Applications – Security, Retail, and Beyond

Facial recognition technology has been traditionally associated with the security sector but today there is active expansion into other industries including retail, marketing and health. By 2022, the global facial recognition technology market is projected to generate an estimated $9.6 billion in revenue with a compound annual growth rate (CAGR) of 21.3 percent*.

Marketing and advertising

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