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Historically, IT systems and their governing standards were based on well understood environments. Early approaches emphasized performance for a specific problem definition. For instance, going back a few decades, the communications world was focused on how quickly to get a bit of data from point A to point B. Understandably, the main aim was to overcome the technical challenges of transmission to achieve a target bandwidth.
In the case of healthcare, medical devices and systems can help save lives and improve quality of life for people living with different conditions and diseases. Machine learning, natural language processing and image recognition facilitate the monitoring, analysis, diagnosis and treatment of patients.
AI and big data will be central to the future of medical care to prevent and treat a myriad of issues, by assisting physicians and treatment. According to Allied Market Research, the global big data analytics in healthcare market size is projected to reach USD 67.82 billion by 2025, growing at a CAGR of 19.1% from 2018 to 2025.
Innovative technologies, driven by AI and big data have the potential to save and improve lives around the world, but only if the right data, analysed correctly, is used.
The introduction of robots, artificial intelligence (AI) and big data in agriculture marks the fourth phase in modern farming, the so-called Agriculture 4.0. It follows the first one, which dates back to the introduction in Britain, in the early 18th century, of basic machinery using animal power to execute simple tasks, and the second phase, which started after tractors were first used around 1918, leading to the introduction of more powered machines. The current, third farming model, industrial agriculture, applied in many developed countries, is often based on monoculture relying on the wide use of machinery, phytosanitary products like herbicides, fertilizers and insecticides. Likewise, raising animals for meat or milk production is based on industrial methods.
It’s not only computers, wearables and gadgets that are making use of smart applications and big data to provide users with personalised services.
The digitalization of information is underway. It is enabling the use of data to better understand our preferences and provide us with the services that match our needs. At home, the data collected and analyzed ensures that the preferred room temperature is calibrated depending on the occupancy and time of day. Farm animals are monitored from afar to provide the correct quantities of food and water for consumption and guard against illnesses. Manufacturers rely on digital twins to enhance their production capabilities and predict glitches before they occur. Information is being gathered, analyzed and applied to improve experiences in all parts of our lives.
In parts of Asia, North and South America, Europe and Africa, digital technologies are enabling students to learn more effectively and from entirely new perspectives.
Billions of connected devices and systems make up the internet of things (IoT), and help to simplify how we communicate, work and go about daily tasks.
Information technology has become an integral part of our lives whether it be in the consumer, industrial or commercial aspects. It is hard to imagine life, work or entertainment without it. Artificial intelligence (AI) presents the next digital frontier of the IT evolution.
The IEC Young Professionals (YP) Programme brings together upcoming expert engineers, technicians and managers from all over the world, who aspire to become more involved in the IEC and help shape the future of international standardization and conformity assessment in the field of electrotechnology. In this issue of e-tech, we introduce the three 2017 Leaders of the IEC Young Professionals Programme who were elected by their peers in Vladivostok, Russia, during the IEC General Meeting.
Railway operators are increasingly achieving greater safety and efficiency by using digital technologies and computer‑based management, control and communication systems. The technical advances in modern transportation that the industrial internet of things (IIoT) enables are driving the development of further international standards in the railway sector.
The IEC regularly supports key global and regional industry events, which can present the IEC endorsement on their website and materials.
In the next decade, cars will be well on the way to, or have reached the goal of becoming fully self-driving. As the industry continues to develop new levels of autonomous vehicles, the whole notion of personal transport is being turned on its head.
One aim of the Council Open Session, held on the Friday afternoon during the IEC General Meeting in Frankfurt, was to summarize and conclude the week-long activities and presentations in the Reinvention Laboratory.
Recent years have witnessed a rapidly growing volume of healthcare-related data being collected from a variety of sources that include patients’ records, and information provided through home monitoring or wearable smart devices.
Big Data is set to change the way we work by improving operations and allowing faster, more accurate analyses which lead to more informed decisions being made. Confident decision-making could in turn lead to greater efficiency, reduced risks and cost savings. While the oil and gas sector hasn’t really embraced the concept yet, it could derive huge benefit from it.
The May issue of e-tech focuses on manufacturing and Big Data.
Sensors: they are invisible, most people don’t even know what they look like, but they are omnipresent today. They have a major impact on our home and work environments and are making our lives much safer and easier in many ways.
Business, academic, and government leaders broadly agree about the potential of big data to fuel innovation, advance commerce and drive progress. We know that big data could change how we work – by improving operations, allowing faster, more accurate analyses, hence more informed decisions. But what exactly is big data and how does international standardization fit in?