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:
We're numb to them. Practically overrun with them. And chances are, you're sick of hearing about them.
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.
In this rapidly changing, technology-driven world, security is a big factor to your business' success.
Whether you're a security veteran or a rookie learning the ropes, creating the perfect security solution can feel like a moving target. Technology, KPIs, and a property's needs are all subject to change at a moment's notice.
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.
For most of us, Hollywood has painted an elaborate picture around the world of robotics and artificial intelligence. Images of dystopian societies, robo-villains, and Arnold Schwarzenegger's classic line "Hasta la vista, baby!" probably come to mind.
Let's talk about Bill
Bill owns a nursery and garden center in South San Francisco. He's the founder, CEO, human resources, soil and succulent guru, and the customer service specialist. Needless to say, his plate is full.
Topics: Affordable Security, Smart Security, Technology Trends, Nimbo, IoT devices, Machine learning, Edge computing, Edge devices, Monitoring, AiVR, Surveillance, Video Analytics