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Thursday, December 2, 2021

Technologies

The 9 technologies that will shape the future

technologies

Technologies



Technologies In 2019, 1,682 trillion dollars will be invested globally in digital transformation and 50% of the world's GDP will come from businesses affected by it, according to the consultancy IDC. A process that will unfold around technologies without which we will not conceive business in the future. Its development and widespread implementation will allow to gain in productivity, improve the design of products and services and make investments profitable, thanks to in-depth knowledge of customers and streamlining of processes.


INTERNET OF THINGS (IoT)

The IoT floods reality with countless devices interconnected with each other and with the cloud, providing all kinds of relevant data from the environment (home, car, office ...) that can be subsequently managed, through advanced analytics, with innumerable utilities.

Its possibilities are endless if we transfer it to the business environment since it will allow us to measure productivity, improve task management or facilitate industrial processes. In short, developing more efficient and safe operating models, generating products that better meet customer needs since their habits and the risks to which they are exposed will be known in real-time.

Its growth is immense, since, as predicted by the Gartner consultancy, while in 2016 there were already 6,000 million devices and sensors connected to the internet, by 2020 that figure is expected to reach 26,000. And it will go from a business volume of 638,000 million euros in 2015 to 1.8 trillion in 2019, according to IDC. When regulations for devices are unified and the guarantee of data protection and security is improved, this technology will be expansive.

Only in the insurance sector, the IoT has already had telematics initiatives in Cars; wearables in Health; or home automation and multi-hazard sensors, as recalled from Tirea. abound from Finnovating, who highlight their help in the control and management of claims.

BIG DATA

The advanced analysis of data from all kinds of sources, be it messages on social networks, mobile signals, audio files, sensors, digital images, emails, etc., will allow companies to know in-depth consumers and their needs, adapting and personalizing its services and products, and creating new digital business models.

However, the processing of this large volume of information is its main obstacle, since it requires minimal investment by companies to optimize their strategy and complete a powerful storage system. In addition, a large volume of information is obtained, much without business interest, so it will be necessary to invest in a specific and useful data processing system.

García de la Cruz emphasizes that the collection of data from different sources will, for example, ensure that insurance companies can more accurately calculate the premium and the coverage they have to charge, as well as know the history of the referring client past false claims, which will help mitigate fraud.


ARTIFICIAL INTELLIGENCE

Robots, increasingly integrated into day-to-day life, are already capable of performing tasks that people normally carry out, as they require human intelligence to be able to visually discern, recognize faces and speak, translate languages or resolve small doubts. In fact, in many companies, there are already chatbots, a customer service capable of solving simple questions. And many financial institutions already use AI to organize operations, invest in stocks, and manage properties.

In the report 'Reality and perspectives of artificial intelligence in Spain 2018', published by PwC, it is found that more than half of the large Spanish companies are already applying some type of solution related to AI, of which 10% has already managed to generate benefits thanks to its implementation.


MACHINE LEARNING

As a further step of Artificial Intelligence, the analysis through algorithms of the largest amount of data possible will result in the ability of machines to learn on their own based on this information and predict future behaviors or trends, as well as improve their operation in a way. autonomous.

Until now, business intelligence was limited to gathering data from the past and classifying it to analyze the current situation and design future strategies through general behavioral guidelines. With machine learning, it will be possible to anticipate the behavior of each consumer individually, which will allow the design of commercial campaigns and provide each one with a tailored product or service.

Such will be its impact, that in 2021 15% of customer experience decisions will be made entirely by algorithms, according to IDC Research Spain. Its main challenge for the future will be to obtain the maximum precision of the data, for which the programmers will have to guarantee the correct analysis of the same, although there are already intelligent algorithms that allow to automate the data storage of various documents and to carry out analyzes.

Sectors as relevant as tourism, e-commerce, or marketing already rely on this technology to optimize their results and make intelligent use of information with which to make better decisions. In the insurance field, as Finnovating indicates, machine learning will allow the algorithms used to train Insurance Artificial Intelligence to generate more intelligence.


VIRTUAL AND AUGMENTED REALITY

While augmented reality maintains the existing tangible environment, incorporating technologically created elements, in virtual reality the entire environment is computer generated. Both one and the other are widely used in the field of entertainment, but in recent years they have begun to impact more and more in business sectors, thanks to the digital reconstruction of contexts or situations.

However, these Technologies, so common in video games, have already spread to areas such as medicine, art, architecture, engineering, etc. In fact, according to the Digi-Capital consultancy, in 2020 the augmented reality business could reach a total figure of 90,000 million dollars and virtual reality of 30,000 million.

Its business application areas will be multiple, from training and security to production and marketing since it will be possible to practice new procedures, simulate critical environments, remotely attend incidents or perform remote maintenance of certain equipment. All of this will reduce process errors, streamline task development, and optimize product designs.

They will not be its only practical applications. The superimposition of real images to virtual ones will be a support in the work of an Auto expert, in the same way, that these technologies are currently used in training, as Cueva points out, and will facilitate the best management of claims to the displaced technicians, as García de la Cruz highlights.

AUTONOMOUS VEHICLE

These vehicles incorporate a technology capable of analyzing the environment through which they move employing a series of sensors that will recognize all kinds of data that, once processed, will allow these cars to circulate with greater safety, efficiency, and performance than traditional vehicles, reducing the accident rate. According to a report by McKinsey & Co, autonomous cars could reduce accidents in the US by 90% and save $ 190 billion in damages and costs per year.

Without a doubt, it is one of the technologies that has been attracting the most expectations in recent times.

There is no doubt that it will revolutionize the way of working in a multitude of sectors, from construction to logistics, through telecommunications services and travel agencies.

BIOTECHNOLOGY

Biotechnology has lived with us for decades, but its innovation potential is so high that, even though it has been developing for a long time, it is considered one of the technologies that will have the greatest impact in the future.

Until now, technological applications that use biological systems and organisms for the creation or modification of products or processes with specific uses, have allowed genetic manipulation for the cure of diseases, the production of more suitable drugs, sustainable fuels, and even the creation of smart fabrics or enzymes for detergents and cosmetics that replace other more harmful components with the environment.

But it was not until the last five decades that scientists from around the world have made the most important advances in this field, especially in the food, agriculture, and medicine industries. Its enormous innovative capacity envisions the transformation of many of the sectors and daily uses that we know, such as the construction of sustainable infrastructures or the regeneration of all kinds of fabrics (natural and artificial).

In the insurance field, García de la Cruz considers that it will impact above all on Life and Health insurance, in conjunction with advanced wearables and techniques to improve life expectancy with the control of vital variables. Although the long duration of profitability periods and the high cost of innovation make it one of the technologies whose impact will take longer to be noticed.


WEARABLES AND MONITORING TOOLS

Although gadget lovers are the most enthusiastic about each new device that emerges, many companies are already becoming interested in the advantages that wearables can offer to improve processes and gain efficiency and productivity.

In fact, a large number of industrial sectors are already frequently adopting smart devices in their production centers. Through glasses or watches, together with technologies such as augmented reality, all kinds of information and resources necessary for the work to be carried out are received, documentation is accessed, and remote support is provided in real-time, without the need, in any case, to remove your hands away from the task at hand or divert your attention.

All this will generate significant cost savings by reducing response times with remote expert support and will reduce workplace accidents through step-by-step guidance in risky tasks and errors in the execution of complex jobs, also improving customer service in maintenance tasks, review, or the resolution of incidents. With a very important challenge ahead: guarantee security in the management of business data in corporate networks and third-party equipment.

Given its association with the IoT, it allows storing consumer behavior in real-time in areas of health and driving mainly. "It stands out for its accessibility, its dynamism through gamification, its bonus for good behavior and the embodiment of both the premium and the coverages, in the user experience", highlights the CEO of Finnovating.

DRONES

The global market for solutions with the use of drones for various industries reached a value of 127,000 million dollars worldwide in 2017, as revealed in the report 'Clarity from above: Leveraging drone technologies to secure utility systems', by PwC, which highlights that the use of this type of UAV, which for years has been more aimed at recreational issues, 

is already beginning to transform how many companies build, operate and maintain their networks. In addition, the regulatory changes on the use of drones in urban spaces, recently announced by the Government of Spain, will cause their use to skyrocket in our country.

The speed of flight and the capacity of load will revolutionize the businesses of the logistics sector. But its advantages go further since they will allow obtaining high-quality and real-time information in a profitable way, geospatial elevations in the previous planning of investments, carrying out risk tasks in substitution of people or monitoring processes. construction and property management.

“Its application in the insurance sector is based mainly on optimizing expertise and reducing time and costs. This improvement allows, in addition, to reduce the price of the premium and offer a higher quality of service to the insured ”, García de la Cruz argues.
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