Earlier this year, Bad Bunny emphatically rejected rumors that he was about to release a new song with Justin Bieber. "That's fake," he told TIME in an interview for a cover story on his meteoric rise. "You never know what I'm going to do." But last month, a song featuring what sounded like his and Bieber's voices started circulating on TikTok, garnering millions of likes. Bad Bunny hadn't lied in the interview, though: the song was created with AI.

One year ago, we launched our Nuxeo Insight service and became the first and, at that time, only Content Services Platform to offer a trainable cloud service for machine learning. For those who might not be familiar with this unique service, Nuxeo Insight is an AI offering that enables our clients to use their own data and content to train custom, machine-learning (ML) models. Custom ML models can be used for a variety of business purposes, including enriching content with new metadata, auto-classifying vital records, identifying products and talent, and even automating forms processing. But the critical thing with Nuxeo Insight is that, because these models are trained with each customer's own data, they are much more accurate, insightful and therefore valuable than the commodity AI services that are available as public cloud offerings. If you are interested in learning more about the distinction between custom and commodity ML models, please refer back to a previous Nuxeo blog posting entitled, "The Difference Between Generic & Contextual AI." Today, we are very pleased to announce another first for Nuxeo Insight.

Fast forward to today, a consumer in the market for a specific product likely has multiple browser tabs open for multiple vendors as they compare products, features, the prices and -- consciously or unconsciously -- compare shopping experiences before making the purchase. The level of sophistication in the online shopping experience continues to rise and the competition is fierce. A key insight revealed in the latest Customer Experience Index report from Forrester Research indicates that it is harder than ever to achieve truly memorable customer interactions, the types that turn customers into vocal advocates. Enter Artificial intelligence (AI) and Machine learning (ML). If you keep up with trends related to the Digital Customer Experience, you have seen many articles and posts written about why companies should be incorporating the use of Artificial intelligence and Machine learning into their Web Content Management systems (WCM) and eCommerce platforms.

My career in wargaming began by chance, not by design. Initially hired for my writing on national security and my Marine Corps background, I learned to be a wargamer on the job. With no prior wargaming experience, I was taught to combine my storytelling ability, my knowledge of the military, and my personal experience with commercial board games to develop analytical wargames. Surprisingly, my unexpected introduction to the field is not an aberration, but the norm. Across the defense community, wargaming is cultivating innovation and guiding important discussions.

I am wary of technology and concepts like'Artificial Intelligence', but the latest series of Channel 5's sci-fi drama'Humans' has made me realise that …

Aman Naimat, senior vice president of technology & engineering at Demandbase says personalization is at the crux of why marketing has to and will adopt AI. "Ultimately, marketing is all about how a brand communicates to its prospects and customers, and personalized, relevant customer experiences are the most effective way to reach their target audiences," says Naimat. "Think about how easy it is to filter out spam with the glance of an eye."

Machine learning and vision startup Aquabyte announced Tuesday that it has raised $3.5 million in seed funding in order to build out a team of developers to refine its software, which is geared toward using machine learning and vision to reduce costs for fish farming. The round was co-led by Costanoa Ventures and New Enterprise Associates. Princeton University and other investors also participated in the round. The main purpose of the round is to help the company build out a team to develop its technology, both at its headquarters in San Francisco as well as Norway, where the company is working with pilot customers. The company is also focused on Norway because there's significantly more fish farming there than there is in the United States.