While we most often think of the Internet of Everything (IoE) as transforming public safety forces out in the field, change can actually begin before an officer is even leaves the station. Classroom training for officers is crucial, enabling them to stay safe and perform at the highest level out in the field. Current events highlight just how important good training is, ensuring officers know how to act in all situations and act as good example of public safety in their communities. The problem is that police officers work on shift schedules, which makes it extremely difficult to get everyone in the same room at the same time for training.
How do police departments guarantee their officers are trained at the highest level despite this scheduling issue? Video training. Police departments and training officers can use video to produce high-quality educational training tools that can be viewed online at an officer’s convenience. On-demand video recording tools like Cisco’s WebEx are straightforward and easy to use, and allow educational materials to be accessed anywhere via the cloud. These on-demand video presentations help make sure everyone is receiving the same level of training, improving the way public safety agencies operate before anyone even steps foot in the field.
Here are four more benefits that stem from on-demand videos for classroom training:
1. Reduce the need for trainers to be physically present at all classroom trainings
It’s still extremely important for police departments to conduct live training exercises. But by replacing classroom sessions with video training, training officers’ time is freed up to focus more on live training exercises. This makes certain officers are still receiving the training they need while helping departments operate more efficiently.
2. Eliminate the burden of shift scheduling to accommodate training
Juggling day and night shifts with training schedules is a hassle. Agency leaders have to analyze staffing, pull people off regular shifts, fill those spots with other agents and often have to pay overtime to do so. It also involves paying trainers to be onsite for multiple days. Video training allows officers to stay on their regularly-scheduled shifts, preventing the confusion and difficulty of shifting schedules and allowing officers to access training videos at a time that is convenient for them.
I have good news and bad news. First, the bad news: across industries, digital disruption is threatening to overturn incumbents and reshape markets faster than perhaps any force in history. Now the good news: companies can take control of their own destiny by embracing digital transformation and the Internet of Everything (IoE).
Let’s take a closer look. By “digital disruption,” I’m referring to the effect of digital technologies and business models on a company’s current value proposition — and its resulting market position. Digital disruptors innovate rapidly, and then use their innovations as a powerful competitive advantage to gain market share and scale far faster than challengers still clinging to traditional business models that can’t keep up with the pace of change. Read More »
What better place to incorporate a Hackathon than at World Skills, an event already bursting with energy and excitement? This year, the organization introduced a Digital Challenge with the goal to help local non-governmental organizations (NGOs) with real-world problems, and show that IT-related competitions can be fun and engaging.
As part of the Digital Challenge at World Skills, students will put their technical knowledge to the test while working with local organizations to solve social problems with technology.
Fifteen local Brazilian problem solvers will join 5 past WorldSkills champions to help 5 Brazilian NGOs move social projects forward. The 4-day challenge takes place parallel to the WorldSkills competition and will leave behind a legacy.
Watch as I provide Rich Gore, Cisco IT member of Technical Staff, an update on how Application Centric Infrastructure (ACI) is enabling Cisco IT to operate efficiently and effectively from the Data Center in Allen, Texas. We review the physical infrastructure along with the virtual environment that runs on top. We explore implementation costs, smaller environment deployment options, load balancing and Quality of Service (QoS) delivery systems.
When we think of “cloud” we think of a vast collection of compute, network, and storage capabilities that resides somewhere high above us—a massive repository of functionality that can be accessed from anywhere and any device with enough bandwidth to handle the data flow.
With practically unlimited power and scalability, cloud technology has been a key enabler of the Internet. But the Internet of Things (IoT) demands something more. IoT is a broad collection of sensors, cameras, smartphones, computers, and machines—all connected to and communicating with applications, websites, social media, and other devices. To maximize value, much of the data generated by these “things” must be processed and analyzed in real time. For example, sensors and cameras in and around a large retail store may continuously collect data about customer volume and traffic flow. The store can derive some value from all this data by sending it back to the cloud to analyze long-term trends. But the value is multiplied if the system can process the data locally, in real time, and then act on it immediately by sending more cashiers to the check-out line just before a surge in customer traffic.
This sort of real-time, high-bandwidth application requires a new distributed cloud model that brings cloud networking, compute, and storage capabilities down to earth—to the very edge of the network. My friend Flavio Bonomi has worked tirelessly with both academia and other industry partners to advance the concept of fog, inspired by the way the San Francisco fog extends the cloud to the ground. Fog computing creates a platform—what we call a fog node—that provides a layer of compute, storage, and networking services between end devices “on the ground” and cloud computing data centers. Fog is not a separate architecture; it merely extends the existing cloud architecture to the edge of the network—as close to the source of the data as possible—to enable real-time data processing and analytics. Read More »