Technology Trends to Look Forward to in 2021
A future with advanced technology looks exciting, with technological trends picking up fast. Universal digital transformation will soon become a reality, and powerful leaders in technology such as Facebook, Google, Apple, and Amazon are leveraging emerging technologies such as Big Data and Artificial Intelligence (AI) to upgrade the user experience. In the last few decades, technology has completely transformed the world. Technology trends 2020 promise to give us more than we ever dreamed possible, with hyper-automation, autonomous vehicles, practical blockchain, and the distributed cloud.
By 2022, a huge percentage, as high as 70%, will be toying with immersive technologies for both enterprise and consumer use and 25% of these enterprises will deploy them in production. By 2024, the low-code application will make up more than 65% of app development. Technology innovators must accept that change is inevitable, and what is new today will be obsolete in a few years. They must think outside the proverbial box and come up with even more innovative ideas.
Here are some top the top technology trends 2020:
1. The Empowered Edge
As edge computing becomes more empowered and advanced with more sophisticated computer resources and increased data storage, it will become a major force to reckon with across industries. In edge computing, the device, a local server or computer processes data, instead of sending it to a data center. This keeps traffic and processing locally to reduce delays, take advantage of the edge’s capabilities, and enable more autonomy at the edge.
Right now, the focus is on the edge because of a need for IoT (Internet of Things) systems to deliver distributed or disconnected capabilities into a world embedded with IoT devices. With time, the edge will build an architecture, which is majorly unstructured. It will consist of a range of services and IoTs that are linked in a flexible mesh system that is linked via distributed cloud services.
In a few years to come, it might be easy for a smart IoT like a drone to communicate with another IoT, or a local cloud service, then communicate peer-to-peer with other drones in the vicinity for purposes of navigation. Up to 2028, there should be a steady rise in the embedding of storage, compute, sensor and advanced AI (Artificial Intelligence) capabilities in devices with edge computing. The mesh systems will enable more intelligent, flexible, responsive and intelligent systems.
2. Practical Blockchain
Blockchain allows the tracing of assets to their origin by participants in a network. This benefits conventional assets and allows it to be used for purposes such as tracing something back to its original suppliers.
Blockchain allows partners who are strangers to interact safely in a digital environment without needing the presence of a central authority. By 2023, blockchain will be able to support private transactions safely and with confidentiality and will be technically scalable.
Blockchain is still not as popular in enterprises because of technical problems such as poor interoperability and scalability. Blockchain promises to have the ability to revolutionize industries by allowing transparency, trust, and making it possible for value exchange in various industries. This reduces transaction times, improves cash flow and lowers costs. Some of the best uses include automated processing of claims, internal record keeping, asset tracking, and IoT and smart cities as well.
3. Hyper Automation
Hyper automation is a mix of automation, packaged software, and multiple machine learning. It involves applying these sophisticated technologies to augment humans and improve automated processes. Just as automation is unavoidable, hyper-automation is inevitable and organizations must quickly get into the automation bandwagon and automate all the business processes possible.
This 2020, and into 2021, all data science tasks will have already been automated, enabling data scientists to produce a more advanced analysis. Robotic process automation (RPA) is among the key hyper-automation components and is a way to connect systems without APIs to newer, more advanced systems. Most of the time, hyper-automation results in an organization’s digital cloning, and this digital clone becomes a significant part of the hyper-automation process by relaying real-time continuous information about the organization.
Technology trends in 2020 indicate that by 2021, one-third of all businesses will deploy a multi-experience development platform that will support web, mobile, augmented and conversational reality development. Multi-experience replaces people who are technology literate with technology that is people literate.
This trend sees the conventional idea of a PC evolve from one interaction point to integrate multi-touch-point and multi-sensory interfaces such as advanced sensors and wearables. A multi-experience development platform has both front and back- end development tools that allow for the scalable and quick developing of seamless experiences in various devices, touch-points, and modalities.
A unified development platform with back and front-end architectures delivers services, runtime tools and design time.
Technology democratization is about providing access to business or technical expertise to every person, irrespective of their place or position. Democratization enables developers to create data models with literally no data scientist skills, and instead communicate on AI-driven development to automate testing and generate code. Four aspects that are doing quite well in these technology trends 2020 are design, data, analytics, and app development.
After 2020, low code app development will make an account for 65% of app development. As we move forward, a low code app will be used by at least 75% of large businesses. The biggest concern as far as democratization is concerned will be shadow AI (artificial intelligence). This will be where people who have no formal training take advantage of easy to use tools for developing solutions powered by AI for themselves and others.
6. Human Augmentation
Human augmentation is using technology in addition to a human’s physical and cognitive experiences, for instance, miners who use wearables for safety improvement. Physical augmentation changes a person’s physical ability by hosting technology on or within the body. Cognitive augmentation improves your ability to think and make better judgments.
All sizes and types of organizations are contemplating human augmentation to achieve different trade outcomes. This trend will be the main means via which people interact with fellow human beings, and with the smart space around them. When selecting human augmentation, organizations must consider a few things, one of which is security. The other areas include government compliance, data privacy, long-term health impacts, and ethical issues.
7. The Distributed Cloud
The creation of enterprise-generated data will be created and processed beyond the centralized cloud or data center. Distributed cloud is distributing public cloud services to areas outside the cloud providers’ data centers, which means their location can be anywhere, and ushers in a new era of cloud computing.
The distributed cloud is still in its initials stages of development, with most providers offering only a small subgroup of their services, but in a distributed way. It supports the operation of cloud services that are connected continuously and intermittently to the cloud service and distributed to different locations. This allows low latency services if the cloud services are nearer to those who need it in remote areas or to the edge device. It reduces outages risk and delivers significant performance improvement in outages caused by networks, and improving your presence.
8. Autonomous Things
Most autonomous technology today exists in controlled areas such as warehouses or mine. Trends in 2020 will evolve eventually to include public and open spaces. Autonomous objects will cease to stand along and evolve into collaborative swarms.
AI-driven autonomy is capable of firing up any device in a customer or organization’s environment. IT providers can create customer journey maps and come up with compelling business solutions. Organizations can integrate the use of intelligent devices with conventional and semi-automated tasks. In business, the uses can include advanced agricultural uses where robotic algorithms operate farms autonomously.
Autonomy is a fast-developing field because autonomous devices have the same technological capabilities. Once a solution to a development challenge for one autonomous device is found, the same solution applicable across other autonomous devices.
9. AI Security
Technological advancements will create vulnerabilities in security. Security teams must address the new security challenges, and learn how AI will affect the security aspect.
When you consider how AI is affecting security, there are three main explorable areas such as using AI to improve security, predicting the use of AI by hackers and protecting AI-powered systems. Up to the year 2022, 30% of all the AI attacks will take advantage of training data poisoning, which is when attackers get hold of training data and cause an Ai system failure by false data input.
Another security concern of the future is an emerging one, where hackers start using ML (Machine Learning) and various AI approaches to carry out their attacks. Organizations must understand how attackers target security solutions based on ML at the prediction and training levels.
These technology trends for 2020 are endless. Technological innovation is advancing fast and we have to play keep up. 2020 was touted as “The year of a great technological leap" and the years that led up to 2020 were the beginning of a great technological revolution. By the time we reach the year 2050, the world as it is today will have changed so much it will be almost surreal. Technology keeps surprising us every year and we need to be ready to embrace these changes.