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Mixing the real and virtual worlds to create something completely new, mixed reality is one of the least explored parts of today's immersive environments. While we have just begun to scratch the surface of mixed reality with AR (Augmented Reality), there is still a lot of work to do before we see a fully customized MR experience in the everyday world. Mixed Reality goes beyond the basics of AR to make the virtual and real worlds more connected and aligned than ever before. Creating a true mixed reality experience requires access to cutting-edge software and hardware, as well as endless creativity and intuition. Fortunately, there are a handful of companies in the MR space that are starting to make waves in the industry.

Dating apps, including Tinder, give sensitive information about users to marketing companies, according to a Norwegian study released Tuesday. Dating apps, including Tinder, give sensitive information about users to marketing companies, according to a Norwegian study released Tuesday. A group of civil rights and consumer groups is urging federal and state regulators to examine a number of mobile apps, including popular dating apps Grindr, Tinder and OKCupid for allegedly sharing personal information with advertising companies. The push by the privacy rights coalition follows a report published on Tuesday by the Norwegian Consumer Council found that 10 apps collect sensitive information including a user's exact location, sexual orientation, religious and political beliefs, drug use and other information and then transmits the personal data to at least 135 different third-party companies. The data harvesting, according to the Norwegian government agency, appears to violate the European Union's rules intended to protect people's online data, known as the General Data Protection Regulation.

With the increase in diversification across industries, robotics sector is growing with significant leaps and bounds. In 2020, the sector will witness continued growth, shifting attitudes, and emergence of new roles. According to a report, the global market for robots is expected to grow at a CAGR of around 26 percent to reach just under US$ 210 billion by 2025. It is predicted that this market will hit the US$ 100 billion mark by next year. As noted by Robotics Business Review, observing the ever-growing aptitude of robot and robotics, some of the industry experts expressed their views and predicted the prominence of the technology in 2020 and beyond.

There is no getting away from automation. Whether you believe it will create jobs or eliminate jobs -- and there are strong arguments for both -- there is no argument that automation will define the future of work. How it will change in the long term remains to be seen, but already there are many tasks and functions that are being changed and mutated with automation driven by artificial intelligence (AI) and machine leaning. Many research organizations and private companies continue to research the issue in order to assess the impact of automation on the workplace and on society in general. Recently, for example, Forrester outlined its position in a new guide called the Future of Work. With the rise of automation and intelligent technologies such as robots, AI, machine learning and others, the pragmatic search for margin is introducing a speed of change and uncertainty not seen since the Industrial Revolution.

Branded Entertainment Network (BEN), the leader in connecting global brands to consumers through the power of popular entertainment, today revealed early successes from BEN's market leading Artificial Intelligence (AI) solution. Popular brands leveraging the solution include the streaming service Philo and video/games rental operator Redbox, who have all seen increased performance from their influencer marketing campaigns. BEN is the first entertainment marketing company to leverage deep learning neural networks that are backed with over 30 years of proprietary campaign data, such as performance and ROI tracking, including 10 years of influencer marketing campaign data. BEN's neural networks uniquely combine this structured data with unstructured video and audio data. Rather than simply matching brands with influencers, BEN's AI has been trained to provide its clients with next generation predictive analytics that drive actual campaign results.

I'm always interested in reading articles about new approaches in my field of artificial intelligence and machine learning, so the recent AdWeek post by Steven Wong and Derek Slater of Ready State suggesting that'Machine learning is about to turn the marketing world upside down' really caught my eye. Every time I hear or read that machine learning is'about to' do something it makes me smile, particularly in this case as'the marketing world' is completely relevant to my job. As Chief Science Officer for an international marketing company, I am working with these technologies on a daily basis. Unlike the 2017 scene set out in the original post, more marketing companies are having conversations about human designed personas compared to segments identified by machine intelligence. While correlation isn't necessarily causation, understanding the similarities in your customer base that lead to a purchase decision is powerful.