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In 2017, security robotics was a pre-mature, yet emerging, trend in the security space. Over the past couple of years, things have started to change.

There's a recipe for industries that are ripe for disruption:

Rapidly increasing costs + Little to no added value for stakeholders

The advent of the internet sparked a wildfire of new technology disrupting industry status quo:

Critics say it's the end of personal privacy as we know it. Advocates call it the tech advancement that will revolutionize security and means of identification.

"Laaaaaaadies and gennnntlemen, welcome to the event of a lifetime. The showdown between two age-old rivals. A battle for the title. A match like no other.

Artificial intelligence, machine learning, computer vision, and deep learning. They all seem to be used interchangeably. But are they really the same?

Whether you love to hate or hate to love him, it's undeniable he is an icon for the industry. When we're talking about mall and retail security, we're talking about none other than Paul Blart: Mall Cop.

My name is Shannon, and I build outdoor robots for a living.

800 million.

According to a recent study, that's how many workers could be displaced by 2030 thanks to automation and artificial intelligence. These stats can be scary, and they tend to flare up heated debates around technology and its role in our work force.

Deep learning and edge computing... they're more than just buzzwords.

Your world is entirely mobile. Everything from checking emails, ordering your morning Starbucks, booking a flight and walking your dog can be done from your mobile device.