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. 

 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.  

Summary 

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.