The integration of emerging technologies in the last year, the continued development of the AI at an accelerated pace, digital transformation as the agenda of theleaders of large and small businesses, the leading science, technology and business consultancies, define the panorama that will be presented in 2020, as a roadmap for continuing to forge the excellence of society and the basis of the understanding of the future.
Below is the prediction of the top 10 scientific and technological trends for 2020. Some of these technologies are already common, but the proliferation of new use cases and applications will make the industry take advantage of its benefits and opportunities.
Automation at 2020 level: Hyperautomation. Hyperautomation takes applications for task automation to the next level. It enables the application of advanced technologies, such as artificial intelligence (AI) and machine learning, to increasingly automate processes and increase human requirements.
In some cases, hyperautomation requires the creation of an Digital Twin of Organization, allowing you to visualize how functions, processes, and key performance indicators interact to generate value. DTO becomes an integral part of the hyperautomation process, providing continuous, real-time intelligence of the organization and driving meaningful opportunities. This tool brings intelligence to business management, and allows you to discover, analyze, design, automate, measure, monitor, reevaluate the entire business model.
Multiexperience is the new experience. Starting in 2020, multi-experience will see the traditional idea of computing evolve from a single point of interaction to include multisensory and multitactileinterfaces, such as portable devices and vanity computer sensors. This trend in the next 10 years will become what I know as “environmentalexperience”.
But multi-experience currently focuses on immersive experiences that use augmented reality, virtual reality, mixed reality, multichannel human-machine interfaces, and detection technologies.
Democratization, democracy of 2020. The democratization of technology is about providing people with easy access to technical or commercial expertise without extensive or expensive training. Known as “citizen access,” this trend will focus on four key areas: application development, data and analysis, design and knowledge. Democratization is expected to see the emergence of citizen data scientist, programmers and other forms of technology involvement.
The increase becomes human. The controversial trend of human augmentation focuses on the use of technology to improve cognitive and physical experiences of aperson. It leads to a variety of cultural and ethical implications,such as the use of CRISPRtechnologies, asthey involve DNA modifications. Physical augmentation changes physical capacity when a technology is implanted or hosted inside or above the body,such as the wearable devices that in some industries are used to increase worker productivity. As for cognitive augmentation, it refers to the use of devices to increase sensory aspects, biological function, brain and genetics.
Increased transparency and traceability. Digitization is cawaved to a crisis of confidence, just as consumers become more aware of how their personal data is stored and used, organizations realize the responsibility of storing and collecting data. In addition, the use of AI and machine learning to make decisions ratherthan humans isincreased, promoting the need for methods such as explainable AI and AI governance. This trend requires a focus on key elements of trust: integrity, openness, ethics, responsibility, competence and consistency, establishing regulations for protection such as the European Union’s General Data Protection Regulation (GDPR).
The edge enhanced. The trend towards implementing IoT-reinforced Edge Computing technologies based on maintaining local and distributed traffic will reduce latency and costs. This involves a topology where information processing and content collection and delivery are placed closer to the sources of capture of information boosted with increasing IoT devices that augment and form smart spaces, bringing key applications and services closer to the individuals and devices with which they interact. It is estimated that by 2023, there will be 20 times more smart devices at the edge of the network than in traditional IT.
The Multicloud. Multicloud or distributed cloud consists of distributing and dividing public cloud services to different physical data centers of the cloud provider, maintaining control of the provider,asit continues as responsible for the cloud service architecture, delivery, operations, control and updates.
This evolution from the centralized public cloud to the distributed public cloud marks the beginning of a new era of cloud computing, allowing data centers to be located anywhere,avoiding technical and regulatory problems (latency and data sovereignty).
The most autonomous things yet. Autonomous things, such as drones, robots, cars, ships, devices, etc., that take advantage of AI to perform regular human work and whose intelligence development ranges from semi-autonomous to fully autonomous, in different environments, including air, sea and land, although its use is maintained in controlled environments, will evolve more and more to be included in public and open spaces, from independent swarms to collaborative swarms.
Practicing Blockchain. Today’s enterprise blockchain takes a hands-on approach and implements only some of the elements of a complete blockchain. Everyone who has authorized access sees the same information, and integration is simplified by having a single shared blockchain. Thereal blockchain or blockchain complete will have the potential totransform industries and eventually the economy, as complementary technologies such as AI and IoT begin to integrate together with Blockchain,expanding the type of participants to include machines, which will be able to exchange a variety of assets. For example, a car could negotiate the price of a repair, based on data collected by its sensors. In addition, blockchain will be fully scalable by 2023.
Increased security of the AI safer. The evolution of tegnological trends such as hyperautomation and autonomous things, offer opportunities for transformation in companies. However, they create the possibility of new attack points by making security vulnerable.
Security teams should be aware of these challenges and reflect on how AI will affect security.
AI security in the future will have three key aspects: first, protecting AI systems, protecting AI data and training lines and machine learning models; second, leverage AI to improve security defense, using machine learning to understand patterns and attacks, and automate parts of cybersecurity; third, anticipating the use of AI by attackers, identifying attacks and defending against them.
They evoke futuristic visions, but in the ’80s when we saw Blade Runner, we wondered can a machine be more human than a man? in November 2019, which is when the action of the film happened, that is, in our present.
Hiperautomation with the use of Digital Twin, Blockchain, AI security, distributed cloud and autonomous things drive disruption and create strategic technological opportunities.
These trends could not exist in isolation; organization leaders will need to decide which combination of technologies will drive innovation and strategy for their business models.
“Hyperautomation requires the creation of an organization’s Digital Twin, allowing you to visualize how key performance indicators interact, processes, and functions to generate value”
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