Explore articles and analysis related to artificial intelligence in consumer goods, including coverage of electronics, fashion, retail, and more.
How emotions influence consumer buying habits has long intrigued and evaded the business sector. Face recognition technology, once limited to security and surveillance systems, has made it possible to gauge more specific metrics to allow companies to predict consumer behavior and accelerate revenue growth.
The Internet of Things (IoT) has the potential to fall into the general pit of buzzword-vagueness. Artificial intelligence (AI) often falls into the same trap, particularly with the advent of new terms such as "machine learning," "deep learning," "genetic algorithms," and more.
Episode Summary: Ever had the perfect book recommended to you by Amazon or gave a pleasantly-surprised thumbs up for a song selected for you by Pandora? Both services are powered by recommendation engines, which are gaining steam int he commercial space. In this episode, we speak with Entrepreneur Raefer Gabriel, who works for Delvv on the commercial applications of recommendation engines. We talk about how this technology works, and how it comes to learn from reviews, ratings, and consumer interactions. Gabriel also gives perspective on how these engines might be enhanced and applied in the future, a good topic for those of you in the startup world.
"Machine learning" is a term that's heard more often in startup and big data circles than "artificial intelligence", and interestingly enough, Google Trends confirms what's already heard through the technological grapevine:
