Today, the technology and applications of Internetworking and Internet of Things (IoT) are evolving and are causing dramatic changes in people‘s careers and lives.
In the manufacturing industry, one might understand that robotics, automation, and machine learning will influence the future of "smart" factories. Industry 4.0 has the potential to increase the value of hundreds of billions of pounds in the UK manufacturing industry and create a large number of jobs. However, a typical smart factory will generate more than 5 PB of data per week, while the data center needs to address huge capacity and computational processing issues.
Also in the health care arena, it has been found that the Internet of Things and artificial intelligence have helped to alleviate the enormous pressure on the UK‘s National Health Service (NHS) to provide first-line care (ie, robot-assisted surgery or artificial intelligence to provide non-emergency patient diagnosis). It will reduce the burden of stress on the rigid management of doctors and nurses.
In professional sports, people see how data analytics can change everything from player recruitment, injury recovery and personalized fitness training programs to enhancing the fan experience, as well as impacting the booming sports and gambling industry.
The online video game world has an annual revenue of $20 billion, and platforms such as PlayStation Network and Xbox Live are becoming more popular, and monthly game data will grow rapidly.
In these four areas, the increase in data capacity requirements poses special challenges for data center operators. But there are many other aspects of people‘s daily lives that may be changed by big data. People may be familiar with concepts such as driverless vehicles, virtual assistants, or robotic warehouse management, and the following are some of the uses that people may not be familiar with:
Unexpected IoT applications
(1) Law enforcement assistant
Despite natural concerns about civil liberties and privacy, artificial intelligence is increasingly being used to fight crime. Last year, the Durham police in the United Kingdom began using a predictive intelligence algorithm to remind suspects whether they should be detained. The Hazard Assessment Risk Tool (HART) uses 34 variables to predict the risk of recidivism, including the previous history of crime, age, and place of residence.
Earlier this year, Amber Rudd, the UK Secretary of the Interior, advocated more use of data analysis to help identify hot spots in knife-injured cases and to identify all crime reports such as knives or blades through machine learning. The UK’s chief anti-terrorist advocate advocates the use of algorithms and data analysis to achieve a 94% success rate in detecting and processing terrorism campaigns and offensive materials on the web and social media.
(2) Auxiliary recruitment
Some companies, including Pepsi, IKEA, and L‘Oreal, use artificial intelligence to help recruit employees. These companies are contracted customers of the robot "Vera", a Russian-developed robotic technology that uses artificial intelligence to interview and screen job seekers.
It can interview up to 15,000 job seekers in a nine-hour workday, which is a few months for recruiters to match. The software also scans the resume of the job seeker and automatically contacts the job seeker who meets the required qualifications to see if the person is interested in applying.
Vera uses speech recognition and self-learning software to analyze 13 billion words. In addition to playing a role in recruiting employees, the robot Vera can also conduct exit interviews for employees who plan to leave.
(3) Detection of fraud in agriculture, food production and supermarkets
In agriculture and food production, many traditional manual operations are now automated. For example, pruning vineyards in vineyards, while lettuce robots can remove weeds from crops. The robot can even operate unmanned tractors.
Precision agriculture uses sensors and drones to measure and predict water levels, estimate yields, and soil acidity to help farmers plan and increase crop yields more efficiently.
Artificial intelligence still plays an important role once the finished product is on the shelves of a supermarket or store. Online store OCADO has increased the amount of false purchases detected by 15 times after it implemented its claim to be the world‘s first artificial intelligence-based grocery inspection system.
(4) Currency issues - artificial intelligence in banking and insurance
In banking, predictive analytics software monitors transaction details in real time, identifies consumption habits, and sends reminders about their accounts to customers, even prompting to help control their spending. Similarly, many major online gaming platforms use machine learning to check bet patterns and flag potential problem bettors.
The insurance industry is one of the biggest beneficiaries of the Internet of Things. Sensors and GPS trackers allow the use of defined car insurance based on real-time driving data calculations. The advanced artificial intelligence system can explain the patient‘s symptoms, surgical data and hospitalization to automatically determine the insurance payment process. Japanese broker Fukoku‘s reciprocal life insurance company replaced more than 30 employees with computers, increasing productivity by 30%.
What does the Internet of Things mean for the data center?
The above explores some unusual applications in which devices and sensors that are interconnected are changing people‘s lives. Of course, the Internet of Things is helping to make changes in a number of other areas.
There is no doubt that by 2025, each person is expected to interact 4,800 times per day with connected devices, equivalent to every 18 seconds! But what does all this extra data mean? It is proposed for data centers and key power protection departments. A tricky problem.
Previously, data centers were primarily a means of storing information. But to truly get the rewards of artificial intelligence and machine learning, you need to analyze and process the data in real time. This requires more capacity and power. And this puts extra stress on critical power protection facilities provided by infrastructure such as uninterruptible power supplies (UPS).
The operation of many departments now relies on the Internet of Things, and long-term power outages are unthinkable. Such incidents not only cause catastrophic damage, but also affect productivity, which constitute a real threat to catastrophic data loss. It makes reliable UPS systems and backup power an important part of any organization‘s risk management strategy and contingency planning.
The Internet of Things is affecting every part of the technology ecosystem, including data centers
Although cloud storage capacity has increased dramatically in recent years, the need for real-time processing has also witnessed the rise of edge computing. Enterprises install microdata centers on-site or as close as possible to where they are located, and provide faster processing times because data does not have to be delivered to the cloud and returned.
Modular data centers undoubtedly play a vital role in this trend, providing operators with the flexibility to quickly expand as needed by simply adding the necessary racks. The development of modular UPS enables power protection to be delivered in an agile, gradual manner.
Compact and power-efficient modular UPS units provide higher energy density, use less power, and have a smaller footprint, making them an ideal solution for demanding ICT and data center facility managers. Modular UPSs can be closely matched to the data center‘s power requirements and provide "N+1" redundancy, which is critical to reducing the risk of any destructive downtime.
The way the data center operates itself is also affected by connectivity and automation. Many of the tasks that were previously performed manually are now automatically performed by computers or software. This means that the data center facility is almost unmanned, so it raises the question of whether heating or lighting is actually needed.
It is clear that the Internet of Things, artificial intelligence and machine learning are moving towards an unstoppable journey that will change every aspect of people‘s lives. However, people will continue to benefit from collecting and processing all information through the data center.