Opinions expressed by Forbes Contributors are their own. The author is a Forbes contributor. The opinions expressed are those of the writer. The first smartwatch developed by a Romanian team has been acquired for an undisclosed price by US wearables giant Fitbit, less than two years after it came to market in 2015. Leading up to its exit Vector Watch, the "affordable luxury" smartwatch which boasts a 30-day battery life, carved a niche for itself in the sector with its simple but stylish designs that work via phone apps on iOS, Android and Windows.
The Data Science team at Teads aims to provide the other teams a set of knowledge and tools enabling them to obtain a clear vision of their activities (i.e. Teads is currently looking for a Data Scientist to strengthen this strategic team. Your mission will be to: Improve existing algorithms & tools allowing to explore and analyze more and more data in order to provide more and more accurate feedback on the Teads activities. Develop new algorithms & new approaches allowing to provide accurate forecasting statistics. Brainstorm with the other players of the team how to improve the existing optimization systems.
Headquartered in London, Realeyes is an eye-tracking and emotion measurement platform that uses AI and machine learning to gain insight into human behavior and expression. Their clients include Buzzfeed, Coca-Cola, Conde Nast, eBay, Mars, and Publicis Groupe, among others. Realeyes uses front-facing cameras, computer vision and machine learning technologies to detect attention and emotion among opt-in audiences as they watch video content. ClickZ recently spoke with Max Kalehoff, VP of Marketing & Growth for Realeyes to discuss the company's innovative technology and the capabilities they bring to marketers and publishers. Kalehoff learned about Realeyes after co-leading a panel presentation with Realeyes's CEO at the Sustainable Brands Conference in 2017.
Digital Advertising is an astonishing Machine Learning playground, it combines data rich activities, scaling challenges and a lot of automation, especially since the rise of Programmatic buying and selling of ads in real-time. With 20 billion page views and more than 3 billion unique viewer IDs each month we are now reaching interesting volumes for our algorithms. When we started experimenting machine learning two years ago, we wanted to predict the probability for a video to be watched for more than x seconds, according to the advertiser requirement. This prediction aims at only showing the most interesting ads for the users. Considering that at Teads we charge buyers only when an Ad is viewed, another benefit of using this model is that it avoids the waste of inventory.
The Drum's latest documentary, produced in association with Teads, 'The Automation of Creativity' explores the role of artificial intelligence (AI) in advertising. Automation will claim 50% of all jobs in the next 30 years, according to Rice University professor Moshe Vardi, but creativity is impossible to automate, right? Adland will surely escape this robot advance? Such a binary argument fails to take into account the huge leaps artificial intelligence (AI) and other such technologies are making. Why, when it is being used in film-making, music and even journalism, should advertising avoid the onslaught?