Today we share with you 6 other technology trends that are going to be very relevant for this coming 2022! As we mentioned in the previous article, technology is not only here to stay, but also to transform itself every day to be its best version and positively impact many companies.
Now lets start!
6. Software-defined networks
These are a set of techniques related to the area of computer networks, whose objective is to facilitate the implementation and deployment of network services in a dynamic and scalable way. The aim is to avoid the network administrator having to manage these services at a low level.
According to the vmware article, software-defined networking (SDN) represents an approach in which networks use software-based controllers, or application programming interfaces (APIs), to direct network traffic and communicate with the underlying hardware infrastructure.
OpenFlow and SDN will make networks more secure, transparent, flexible and functional.
7. The Cloud
According to the Eninetworks article, «What is the cloud and how is it used?«, it is a data storage service to servers located on the network. This allows programs and files to be uploaded, opened, modified or used through a connection without the need for them to be located on the storage of the device being used.
One of the key issues for the insurance industry is to transform insurance companies into data-driven organizations. Cloud computing adoption is increasingly being driven by the need for digital transformation and being perceived as a business enabler due to its large capacity to store information.
By 2022, the cloud will be more entrenched and more novel. However, the possibility of increasing capabilities and working in the cloud is still unlimited.
8. Internet of things
The Internet of Things, or IoT for short, is a key factor and part of insurers’ transformation to the Digital Age, as the study and analysis of this field is what will define what is important to people.
It is a technology that connects to the Internet our household objects, those that are of daily use and that are ordinary. However, this connection to the Internet is not enough; the IoT is about connecting objects to each other.
This is how different objects will be able to interact with each other as part of a program. For example, the alarm clock can be synchronized with the coffee maker, and once the alarm is activated, the coffee maker can simultaneously start brewing coffee.
In this way, the relationship with our environment will change drastically. Thus, our clothes could give us an analysis of our biometric data or our homes could carry out the purchase of basic products in an automated way. In addition, the connection between the elements of our environment would ensure greater individual security.
9. Big Data
This term describes the large volume of data, both structured and unstructured, that occupies large parts of the business. What really matters about big data is what companies can do with the data, because by analyzing it they can gain insights that lead to better decisions and strategic business moves.
10. Machine learning
Machine Learning is one of the applications of AI that provides systems with the ability to learn and automatically improve the experience without having to be programmed. Thanks to this technology we can plan company resources, develop predictive systems on customer behavior and personalize communications, generating greater value for users.
Machine learning plays an increasingly important role in our lives, whether to classify search results, recommend products or create better models of the environment.
11. Computer vision and pattern recognition
As the viso.ai article explains, it is a field of Artificial Intelligence (AI), which deals with computational methods to help computers understand and interpret the content of digital images.
Thus, Computer vision aims to make computers see and understand visual data input from cameras or video sensors. This is to help computers automatically understand the visual world by simulating human vision using computational methods.
Finally…
It all boils down to the ability of companies to keep pace with technological innovations, to adopt them and take advantage of them.
Technology is going by leaps and bounds and does not stop, which is why it is so important to know it and take advantage of it. This is not limited to a single industry sector, but can even be taken to insurance companies.
How so?
It is no secret that the insurance industry is one of the oldest and most difficult industries to add technology to its processes. That is why LISA Claims was born with the aim of streamlining those processes and offering a better service to its policyholders.
LISA Claims is a platform that controls and manages all claims settlement processes through the use of technology, guaranteeing security, improved operational efficiency and greater policyholder satisfaction.
Thanks to technology, it is easy to innovate and transform tasks that previously depended on human labor into automated tasks with the help and fusion of artificial intelligence and an automaton.
What technologies does LISA Claims use?
- Computer security.
- Big data.
- Cloud Computing.
- Machine learning.
- Computer vision.
- Internet of things.
- Interconnections and digital ecosystems.