AI Articles and Analysis about Marketing and advertising

For large eCommerce, media and travel companies, running huge campaigns requires substantial effort and human oversight. Translating and laying out ads for dozens of languages is a challenge that one day machines may master — but they’ll do so with the help of constant human guiding and adjustments.

Episode Summary: Facebook and Google’s advertising complex is founded on machine learning, allowing people to self-serve their data needs across a broad audience. India-based InMobi is a company in the advertising technology space that delivers 10 billion ad requests daily.

eMarketer estimates that 62% of global internet users accessed digital video in 2017, and that number is expected to rise to 63.4% by 2020. This may be marginal growth, but, essentially, consumers are expected to spend more time watching video content. 

High-frequency retail (HFR) segments, such as groceries and drug stores, have ongoing challenges with profit margin - with grocery margins nearing 1% on average, according to an analyst from market research firm IBISWorld.

Episode summary: This week on AI in Industry, we speak to Rana el Kaliouby, Co-founder and CEO of Affectiva about how machine vision can be applied to detecting human emotion - and the business value of emotionally aware machines.

In early 2017, Amazon unveiled a new application of AI outside its online domain: Amazon Go, an artificial intelligence (AI)-powered grocery where there are no cashiers and checkout lines. Shoppers activate the store’s smartphone app upon entering the store, grab the items they need, and leave through the same “gates” they enter without pausing to pull out a credit card or cash. Their Amazon account is automatically charged for what they take.

Episode summary: In this episode of AI in Industry, we speak with Khalifeh Al Jadda, Lead Data Scientist at CareerBuilder, about the applications of machine learning in improving a user’s search experience.

Just as chatbots are being created for consumers in the hospitality and fast-food industries, technology companies are also serving those restaurants that wish to take advantage of this emerging technology to better their customer service and maximize their productivity—and profitability.