Top Technologies to Learn in 2022
1. AI-powered cybersecurity
The continuous increase in cyberattacks, email phishing scams, and ransomware is forcing cybersecurity firms to search for tech solutions to address the vulnerabilities. Criminals keep on hacking individuals’ accounts, countries’ critical infrastructure, and businesses of all sizes, causing millions of dollars in losses.
Workplace digitization and work from home in response to the COVID-19 virus made it a priority to retrain employees on online safety to reduce data breaches and losses.
Businesses are also adopting advanced cybersecurity technologies, such as artificial intelligence (AI), to monitor and guard networks against hackers in real-time rather than responding to the threat after they damages. Moreover, cloud storage companies are providing end-to-end encryption for online data storage and data transfers.
2. 5G technology adoption
While 4G brought improvements, for example, in streaming videos seamlessly, 5G has 100 times the speed, meaning that uploads, downloads, data transfers, and streams will be a lot faster.
5G will boost the Internet of Things (IoT), which involves internet-powered smart devices linking and operating simultaneously. Unlike with 4G, many devices can connect to the 5G network without dropping of speed, latency, and reliability. That’s because of the network-slicing feature that creates independent networks and offers different services for each device.
Furthermore, while 4G mobile networks struggle to connect in a crowded location, 5G can transmit its radio waves to as many as one million devices per square kilometer.
3. Internet of Behaviors (IOB)
A lot of customer data are collected through service providers through IoT devices in the home. Businesses are using analytics and big data techniques to state the data’s value in what is now known as the Internet of Behaviors (IOB).
By reviewing this customer information, businesses can personalize their services, market their products, and improve a customer’s experience with the company.
While personalized solutions are important, companies face an uphill battle to convince users to share personal data with them to develop these solutions.
Website hacking and other cybersecurity challenges also make customers uncomfortable to risk their privacy in return for valuable services. A different approach in data collection will be vital for businesses’ data analysis needs.
4. Artificial intelligence (AI) and machine learning
Artificial intelligence is one of the most evolving technologies in the world. Its widespread use shows its potential to provide solutions in multiple industries, from health, security, and education to logistics and information technology.
For example, navigation apps use AI in guiding drivers through various locations, while machine learning technology ranks online search results and predicts whatever a user is searches for by offering suggestions.
Other uses of AI includes automation in manufacturing, guiding self-driving cars, operating as smart online assistants such as Siri or Google.
Also, AI is helping with airline reservations and hotel bookings. However, perhaps its most potent power is in analyzing large data and providing reports that can be used by organizations to develop strategies and solutions.
Facebook’s name after changing to Meta put a spotlight on the metaverse, described as the next evolution in social connectivity.
The metaverse is a virtual, three-dimensional space where people can log into as avatars to socialize, work, shop, collaborate, or play games together.
Companies are investing in novel technologies to bring the metaverse to life, similar to virtual reality (VR) and augmented reality (AR). For example, VR headsets enable people to explore and immerse themselves in digital worlds and share experiences.
Metaverse real estate sales reached $501 million last year and have already topped $85 million this year, according to MetaMetric Solutions.