When San Francisco wanted to understand more about the pockets of poor air quality plaguing the downtown area, they turned to a unique way of modeling the real world digitally. Using a digital twin, the city monitored the air quality, along with the travel patterns of cars on city streets and boats in the port.
A digital twin is a simulation that uses machine learning to provide insights into your business. Your simulation’s precision will depend on how you build it; the more sensors that you add, the more precise it will be. From that simulation, you can gain insights into your equipment, a specific process, or each process within your entire company.
Industrial Internet of Things (IIoT) is booming, and industrial cybersecurity is growing right alongside it. This is good news, because IoT networks are often targets for malicious intruders who want to gain access to all of the sensitive data passed from device to device within a successful business.
Monthly premiums are standard for software applications and streaming services, but until now, smart devices have been relatively untouched by the subscription business model the tech world has adopted. That will probably change soon, if IoT device manufacturers and businesses that sell IoT devices have anything to say about it.
Many smart device developers have set their sights on the healthcare industry. And for good reason: it’s an industry ripe for development, with plenty of room for everything from tiny improvements in staff productivity to revolutionary breakthroughs in medical tech.
IoT networks are particularly vulnerable to attacks and long-term functionality issues. There are several reasons why.
In the first half of 2021, IoT systems were breached more than 1.5 billion times by malicious attacks. So many people are working from home with connected devices, and enterprise networks have become so decentralized, that attackers have their pick of entry points to gain access to unsecured IoT networks.
Recent reports show that human interaction with smart speakers is declining, despite the plethora of these devices in homes across the country. If it’s clearly not a lack of speakers leading to low engagement, then what’s the problem?
nternet of Things (IoT) developers are on the cutting edge of technology design and implementation. As such, there are fewer “tried and true” methods that have been proven to work, time after time, for companies building new IoT projects.
One obstacle to widespread IoT adoption by consumers is the varying and often incompatible smart technology standards. It’s difficult for customers who don’t have highly technical backgrounds to set up seamless, cohesive home IoT ecosystems without expert help.
Industrial networks often contain highly sensitive or classified information. Everything from personal employee information to proprietary product formulations—and even vital financial accounts—are stored on business networks. It’s clear why many major companies treat network security very seriously—at least on the surface.
Google Cloud and GE Appliances (GEA) have signed a multi-year deal to collaborate on producing smart home appliances. The companies aren’t interested in simply polishing up and re-releasing existing smart appliances.