COVID-19 has changed our lives completely. The innovation process is accelerated beyond our thinking. Every coming day brings a new innovative technology that shows the potential to change the course of our lives. The pandemic has reshaped the world by transforming technology trends, innovations, and the whole technology ecosystem. Our perspective towards life has been changed and we are digging new ways to improve our lives productively and innovatively through technology.
Businesses are shifting towards new technology trends aiming to be more competitive and better prepared for prodigious times. The next decade will be full of technological swings. In this article, we will examine some technology trends that will likely to more in demand in the next years.
1. Digital Health
In recent years, concepts such as artificial intelligence (AI), telemedicine, robotics applied to medicine, telecare, 3D printing of organs, blockchain, augmented or virtual reality and big data are not only part of our daily vocabulary, but also are beginning to be integrated into health systems, both public and private. The director of the university master's degree in Digital Health at the UOC's Health Sciences Studies, Dr. Carme Carrion, explains in-depth what digital health or e-Health is.
Mei-ling has spent the whole night with a headache and vomiting. He is not feeling well. The 35-year-old is heading to the water town square of Wuzhen, in the Xizha area, her hometown. You need to go to the doctor to find out what is wrong with you and how to heal. Enter the first One-Minute Clinic booth (or “one-minute clinic”) of the 1,000 units that the Ping An Good Doctor company has announced to install in 8 provinces and cities in China in the coming months, to provide service to more than 3 million users like Mei-ling.
It might seem like science fiction but we are talking about today. This type of online medical center, assisted by virtual doctors, offers a quick and efficient preliminary diagnosis. They use state-of-the-art AI technology assisted by a staff of 200 expert physicians with access to information from 300 million prior consultations. This computerized system can treat more than 2,000 common diseases, and respond, immediately, to thousands of medical and other health-related inquiries. In addition, this unstaffed clinic has more than 100 categories of common medicines, cryogenically refrigerated to guarantee their quality, ready to be dispatched at the moment.
2. Customer Data Platforms
Managing customer data is one of the biggest challenges we face in digital marketing. If you are looking to effectively manage your customer data, a customer data platform may be the solution for you.
This new work enhancement and optimization technology consist of a platform designed to solve the problems of integration, labeling, and storage of customer data. In this way, we can have a unified view of all your interactions on the customer's data platform and thus have more information to develop and execute our strategies.
Customer data is about accumulating a large amount of data to analyze and optimize our campaigns.
Almost everything is connected to the web where instant data is extracted about our preferences in fashion, computing, sports, etc. Customer data can be used to analyze and adapt organizational strategies to achieve higher conversions and sales.
Customer data evolves rapidly. Customer data is collected at all times through social networks, visits to web pages, etc ... which makes it difficult to analyze and extract meaning. Deciphering truly relevant information requires concentration.
3. Remote work and HR Tech
The new normal and the rise of digitization require incorporating the latest technological tools into the entire people management process. All of them have the potential to improve the experience of companies and workers, but, to achieve this, they must focus on not dehumanizing the process or replicating existing social biases.
If calm comes after the storm, the appearance of the first vaccines against the coronavirus (COVID-19) and the normalization of remote life offer the first rays of sun in the storm of the pandemic. One of them lies in the number of jobs available. For the first time in months, in January 2021, the number of positions offered in the United States at Indeed, an international company specializing in job search, slightly exceeded pre-school levels.
This green labor outbreak is great news. However, both jobs that have not been destroyed and those that are beginning to recover must adjust to the new normal: while masks and the safety distance dominate face-to-face work, remote performance will continue to be the norm in those. sectors and positions that allow it.
This reality especially affects human resources (HR) departments. In addition to hastily developing telecommuting plans for their companies, they have been forced to move their employee selection, hiring, and management processes to the virtual environment, an accelerated evolution that would not have been possible without the support of technology. "Despite the pandemic, the selection of personnel has not stopped and this has been thanks to technological tools", confirms the corporate director of Organization, Talent, and Mobility of MAPFRE, Juan Carlos Rondeau.
4. Ethical AI
In the rise of the implementation of Artificial Intelligence (AI) in business processes for optimization and development, new unknowns arise about its true power and how far it can go under its responsible use.
Given the power it has given to companies, it is discussed how to maintain control over the information it handles since it is large and diverse amounts of data. This has led to the conclusion that problems in the ethical use of Artificial Intelligence should be observed from a human error approach, rather than technological failures. This is because an important aspect in human nature is taken into consideration: the different inclinations or biases of opinion. When facing this aspect, we must bear in mind that AI is not prepared to eliminate by itself the prejudices that can be found within the ways of thinking.
It is the responsibility of those who work with AI to locate and manage bias, as well as face new learning within AI to identify it. Preventing this type of information from being included in the Artificial Intelligence learning process is key to avoiding the strengthening of racial, social, and monetary prejudices, among others that can be found in stored data.
5. Internet of Behavior
Internet of Things is defined as a source that connects an electrical device, which traditionally had no network connection, to the Internet. For its part, the Internet of Behavior (IoB) is the extension of IoT that reveals and processes significant information about our behavior. It is the interconnection of devices that provides a wealth of valuable data and insights about user experience, search optimization, behavior, interests, and preferences. IoB combines technologies focused on tracking the location or facial recognition of people, interrelating the data, and mapping it with events to know the user.
Carrying out the IoB is not technically as complex as understanding human patterns. This requires extensive statistical and data studies to be carried out, but with the necessary barriers to fully preserve consumer privacy for both ethical and legal reasons.
6. Distributed Cloud
With the evolution of the cloud market, the distributed cloud has positioned itself as a backup proposition for companies with emerging technologies.
Some organizations are betting on a distributed cloud model, that is, that the operation and governance of public cloud services remain the responsibility of the provider while bringing the physical location of the cloud closer to the user.
However, while cloud computing may seem more expensive, the benefits, such as flexibility, are unmatched.
If you are currently working in the IT area, it is likely that you have found a distributed database, this database is processed through the infrastructure, using computer modules with processing capabilities in front of a central core, the purpose is better performance and safety.
The distributed cloud is one of the applications of cloud technologies, used to interconnect data and applications that are served from different geographical locations.