AI Articles and Analysis in Consumer goods

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*.

The food service industry is an economic staple generating billions of dollars in annual revenue and representing 2.1 percent of the U.S. GDP in 2016. Technology has made on-demand food ordering possible and the industry is pivoting towards more innovative approaches to meet and exceed customer expectations. As a result, artificial intelligence applications are steadily making their way into the food service industry.

As a human, we can often understand the mood, intention, and future action of another person just by looking at them. We see their posture, their facial expression, where their eyes are focused, and we can get a decent understanding of what they might do next. The problem of computer vision for body language is a much harder problem to solve, but we are indeed making progress.

Our cities, streets, homes, and businesses are built for beings that walk on two legs (biped). From stairs to the shape of hallways to the placement of kitchen cabinets, all have been designed for bipeds. The fact that a society of two-legged creatures designed everything around them for bipeds is so obvious most people don’t even think about it, but it becomes a serious issue when talking about the future of robotics.

eCommerce is a bustling segment of the retail industry representing an estimated $102.7 billion or 8.3 percent of total U.S. retail sales in 2016. Total retail trade was approximated at 5.9 percent of the national GDP in 2016. As digital transactions become the standard method of purchasing goods and services, leading eCommerce firms are exploring how AI can enhance brand competitiveness and customer loyalty.

In the future, the vast majority of photos and videos recorded won't be seen and used by humans - they'll be seen and used by machines. This week we interview Allan Benchetrit, CEO at Algolux - a Montreal-based AI company focusing on computational imaging.

The following article about artificial intelligence for UX has been written by Paul Daugherty, Chief Technology and Innovation Officer at Accenture. Accenture is a Fortune 500 consulting and services firm with nearly 400,000 global employees. Editing and quotes added by the Emerj team. For information about our contributed material and publishing arrangements with brands, please visit our partnerships page.

When managers and leaders think about machine learning in retail, they often imagine helpful in-store robots, automated processes like checkout or stocking shelves, or conversational agents that suggest products and answer questions for customers. While these applications should be considered as disruptive factors for retail’s future, it’s unlikely that these factors will be the first wave of AI’s impact on the sector.