Top 10 Technology Trends to Watch in 2022
Throughout 2021, tech trends have been evolving at a frightening pace. Consumer behaviors and cultural changes dictated new rules for tech innovation and growth. As a result, uprising tech stars and world-renowned giants continued to disrupt the status quo. But what’s in store for the future?
Here are the top tech trends that are going to shift how we normally live and work as we make our way through 2022.
Sounds interesting? Then let’s dive in.
1. Industrialized AI
Machine learning and AI are becoming key drivers of organizational performance. Companies are realizing the need to shift to engineered performance to more efficiently move ML models from development to production and management.
MLOps automate ML model development and operations, to accelerate the entire model life cycle process. MLOps helps drive business value by fast-tracking the experimentation process and development pipeline, improving the quality of model production—and makes it easier to monitor and maintain production models and manage regulatory requirements. The MLOps market is expected to grow to nearly US $4 billion by 2025.
Companies try to measure AI development capacity from dozens to hundreds of ML models, can benefit from the same engineering and operational discipline that DevOps brought to software development. MLOps help automate manual, inefficient workflows and streamline all steps of model construction and management. However, companies will also infuse AI teams with fresh talent whose capabilities complement those of highly skilled data scientists, further extending teams’ focus from model building to operationalization.
2. Cybersecurity Mesh
Due to technological advances, such as hyperautomation, AI and 5G, have security implications, cybersecurity will be a major topic for businesses.
Cloud services are becoming mainstream and businesses managing services across multiple cloud providers are responsible for securing these technologies. Surveys conclude that security incidents lead to major financial losses in every 1 of the 13 security attacks.
Security technologies ensure secure architectures. To ensure more efficient automation and teams should justify the security stack and eliminate unnecessary & duplicative technologies or those that contribute to data overload, delay detection, and response, and complicate system maintenance and management.
Cybersecurity Networks Architecture (CSMA) is a distributed architectural approach to agile and reliable cybersecurity management. It provides an integrated framework for the security and protection of all assets, regardless of location. According to Gartner by 2024, companies implementing CSMA in their ecosystems will reduce financial losses from certain security incidents by 90%.
3. Supply chain
Faced with the rapid, unexpected growth in demand we saw in the first months of the COVID-19 pandemic, digital data-driven supply chains that provide a high level of transparency and can synchronize our planning, production and execution will continue to adapt to the rapidly changing world.
and customer segmentation, made possible today by the systematic collection, aggregation and analysis of vast amounts of unstructured data from increasingly unconventional sources, has become standardized in retail and are now ready to transform supply chains across industries.
Some of these same approaches can help organizations in manufacturing, pharmaceuticals, energy, and other sectors to better understand demand patterns and their impact on the supply chain, from the point of sale to the manufacturing plant and up to the suppliers.
Supply chain organizations will see an increasing number of advanced technologies such as:
- Autonomous robots & collaborative cobots. Reduced direct and indirect operating costs and increased revenue potential. Robots can lower labor costs and increase productivity by working around the clock. Whereas, cobots work alongside human workers, augmenting their performance. Their movements are easily programmable, which enables them to perform specific, limited tasks such as sorting packages. In material transportation environments, cobots can zip past each other, humans, or moving objects in a warehouse or on a factory floor thanks to advanced collision avoidance capabilities.
- Aerial drones. Companies can use aerial drones for a variety of tasks, from providing inbound logistics in time-critical situations to carrying materials from storage to factory and transporting directly from receiving to shipping. Drones can also scan inventory efficiently and reduce labor costs.
- Computer vision. Cameras are rapidly becoming ubiquitous and connected. Supply chain operators are placing them, in tandem with AI, throughout warehouses and freight yards to count stock. Companies are also using these computer-vision technologies on factory floors and in offices to monitor social distancing among employees, validate safety protocols, and help maintain procedural compliance. More advanced computer vision capabilities make it possible to visualize temperature radiation, detect subtle movements imperceptible to the human eye, and “ultra-zoom” in on individual parts of a complex whole.
The list of outstanding tools and techniques in this field will continue to grow in the next years as companies work hard on transforming their supply chain.
4. Hyperpersonalization & Fintech
In 2021, a business knows everything about a customer: fingerprints, face, pulse, blood pressure, behavior on social networks, typical purchases. But the collected data is weak and does not allow making an accurate personalized offer. That’s where hyperpersonalization swoops in.
One of the major trends in mobile financial services is hyper-personalization. It is based on analyzed data about user behavior, and not just about its basic characteristics. It is possible to build work with hyperpersonalization only cyclically, the more information about the client's actions you gather, the more accurate buying suggestions will be. Now banks are switching to hyper-personalizationб when users receive different offers, with different text and design. On average, this increases the response rate by 30%.
Banks have a lot of data about customers, on the basis of which they receive personalized offers - but still this happens within the framework of audience micro-segmentation. Now banks have already begun using dynamic personalization tools, when, in addition to traditional data, information from social networks is used. And in the near future, thanks to big data technologies and artificial intelligence, users will receive unique offers that will be formed solely from their preferences.
5. AI, from manufacturing to health care
Not long ago, artificial intelligence seemed like something straight out of science fiction. Nevertheless, today it has become an integral part of our daily life in various fields.
Manufacturing. Integrating AI into assembly lines, automating production processes and reducing human resources.
Finance. Using artificial intelligence to develop commercial applications, automate and execute IT operations.
Healthcare. Analysis of complex medical data, diagnosis of diseases and treatment. Today, the largest corporations allocate big budgets for the development of information technologies for healthcare field. Among them are IBM, Microsoft, Google, Intel and Medtronic.
Education. Learning foreign languages using AI (for example, the Parla application), as well as creating individual educational programs for each student.
Even in the dating industry, artificial intelligence is great for analyzing user accounts and finding the perfect match. In the "Match" service, something similar was practiced back in 1995, but now it has reached a new level.
6. Driverless cars & Automated car park
Much of the driverless technology is already actively being used in industrial settings like mines, warehouses, and ports.
That self-driving taxis are already on the roads in Phoenix, Arizona. Currently only available as a test service to the public in small defined areas, in the next two years, there are plans to release the taxis on a greater and wider scale.
AutoX, a start-up funded by Alibaba, launched its fully driverless RoboTaxi in Shanghai, China in 2020. By 2023 their services will be available in other cities across China, and California.
As a natural extension of autonomous driving technology, automated parking will be a particularly valuable addition to high-end vehicles in 2022.
Automakers giants like BMW and Mercedes-Benz in September, 2021 participated in a joint driverless parking project at the Munich auto show. The project demonstrated how sensors in a parking garage can work with onboard sensors to automatically park the vehicle and then return it to its owner.
As a proof of the growing potential of driverless technology, autonomous delivery startup Nuro has recently raised $600 million and has been valued at $8.6 billion in its latest funding round bringing on board Alphabet Inc.'s Google as an investor.
7. Data Fabric & Total Experience
Over the past decade, the number of disparate data warehouses and applications has grown dramatically, while the headcount in data and analytics teams has either remained unchanged or declined.
In this regard, there is a demand in the world for data factories - flexible but sustainable integrations between platforms and business users. With built-in analytics, they can improve information processing, reducing data management efforts by up to 70% while reducing time to value.
Cumulative Experience is a business strategy that combines multi-experience, customer, employee, and user experience. The main goal of this approach is to increase trust, satisfaction, loyalty and support for customers and employees. Organizations will drive revenue and profitability by delivering responsive and sustainable TX business results.
8. IoT Data Management
With its real-time assortment of thousands of data points, IoT solutions strategy largely focuses on managing metadata about products and services.
With an overwhelming amount of data involved, not all IoT developers and users have begun to fully optimize the data they can now access.
The outbreak of the time-series data, fueled by the need for more analytics, has accelerated the demand for specialized IoT platforms.
By 2025, there’s projected to be more than 60 billion connected devices around the world, the big amount of which will be connected to IoT platforms. Storing this data and synchronizing it together seamlessly is the challenge that organizations face next year as IoT deployments continue to scale at a fast speed.
Green Internet of Things
Rapid population growth, industrialization and urbanization - all this sounds cool, but it entails environmental problems. The more people, the more problems with the collection, sorting and disposal of garbage, therefore, in the field of environmental care, the trends of the Internet of Things have not been without.
Green IoT offers solutions that help people conserve resources and use technologies that minimize waste. For example, a waste management system with shredding mechanisms, or a transport system in which cars can move at the same speed at a short distance from each other. This will significantly reduce fuel consumption.
The eco trend of the Internet of Things helps:
1. Manage resources
The Internet of Things helps you track energy use and waste. Smart sensors collect and transmit energy consumption data to specialists. For example, a thermostat uses the collected data to remind you when to turn off the heating, and water management sensors warn that you will soon exceed the desired level of water consumption.
2. Monitor expenses
Special devices have long been monitoring how megacities affect the environment: they collect detailed information on air quality and the amount of garbage.
To solve the problem of the negative impact of exhaust gases on the environment, for example, there is Air Quality Eggs - an Internet of Things platform for combating air pollution. Essentially, this system collects air quality data from the residents themselves. AQE is widely used in America, Western Europe and East Asia.
IOT in retail
IoT in retail is helping entrepreneurs improve their business and customer service. IoT can be used to monitor product expiration dates and track shipments. By 2025, the spread of IoT technologies in retail will reach more than $ 35 billion.
1. Personalized content
The Internet of Things is a tool aimed at improving communication between the customer and the brand. Special sensors can track customer actions and share this data with the company's marketing team. It becomes easier to create personalized content for specific segments to help customers find the product they want quickly.
2. Navigation in the store
The lack of a well-thought-out system for moving around a large store is one of the common problems that can become an obstacle in the path of a potential buyer. IoT devices with built-in WiFi, Bluetooth and VR technologies can simplify navigation and help shoppers find the product they want faster.
9. Gesture interface
Hand movement and gestures that are available to smartphone users can simplify the use of devices. For example, with a few hand movements, you can turn on the phone or mute the notification sound, or take a selfie by swiping your palm over the camera.
Giants like, Samsung, Apple, Google are actively working on the development and implementation of gesture interface into their devices. In 2022, more and more emphasis will be placed on the development of interfaces on such technologies.
Apple has already developed software, designed for people with disabilities. It’s available in apple watch. hand gestures on the two latest Apple Watch series, allowing users to navigate their apps and gadgets just by pinching and clenching their fists.
10. Augmented reality in online stores
Online shopping itself was a revolutionary concept only ten years ago. The ability to get everything from food, clothing to gadgets delivered directly to your door at the touch of a button has been unheard of before. But if there's one area where online shopping continues to be lacking, it's management expectations.
Thanks to augmented reality (AR), suppliers can now create realistic 3D models of products, allowing potential buyers to see the product as if they were holding it in their hands before buying. This will not only provide a more accurate example of the product you want to buy, but will also encourage people to buy things they didn't know they wanted.
Staying up-to-date with the ever-changing technology trends will be your lifesaver in 2022 and beyond. Failure to keep up with consumer demand and the listed above trends is equal to giving up without a fight. If you don’t want to fall behind your competitors - the right time to act is now.
Sure thing, catching up may be tough. You can’t just buy a ready-made solution and hope that it will work the way you expect it to. The choice of the right technology requires thorough research and careful consideration of your product-market fit. Strategic implementation of the needed technology will help you leverage the full benefits of your choice.
To learn which technology suits your needs best, and to get started with its adoption, contact us today. Edsson is a leader in providing high-end software development to accelerate your business growth.
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