10 Best Technologies That Will Outperform AI/ML In 2022

10 Best Technologies that will Outperform AI/ML in 2022

by Amelia Scott — 2 years ago in Artificial Intelligence 3 min. read

Here’s a list of the ten best technology that will surpass AI/ML by 2022. Artificial Intelligence is a technology for solution providers and businesses. Combining AI with machine learning, deep learning, and neural networks can make a powerful combination.

AI can be used by businesses to save costs, improve customer experience, make communication easier through chatbots, gain insight into buying behavior, and streamline workflows. Artificial intelligence is essential to meet the needs of technology-enabled consumers.

To realize their full potential, solution providers must embrace digital transformation. Where do you start? Here’s a list of the 10 best technologies which will surpass AI/ML by 2022.

10 Best Technologies that will Outperform AI/ML

1. Blockchain Technology

Although blockchain technology is often associated with cryptocurrency, it is much more. Blockchain technology is a way to record information in a way that makes the system difficult or impossible for anyone to hack, change, or cheat. Blockchain is a digital ledger that records transactions.

It is distributed throughout the entire network of computers on the blockchain. It is among the top ten technologies expected to outperform AI/ML by 2022.
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2. Computer Vision

Computer vision is a field of computer science that studies the creation of digital systems that can interpret and process visual data (images and videos) in the same manner as humans.

Computer vision is about teaching computers how to process images at the pixel level and then understand them. The machines can extract visual information and manipulate it using special software algorithms.

3. Customer Data platforms

The customer data platform (CDP), is designed to support marketing. It unites customer data from multiple sources and creates a single, cohesive, and complete view of each customer. The data is then made available to marketers for creating targeted and personalized marketing campaigns.

The customer data platform combines all of this data into one source, allowing for a complete picture of customers and eliminating the possibility of inaccurate data. It is among the top ten technologies expected to outperform AI/ML by 2022.
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4. Cybersecurity

Cybersecurity is a critical issue in today’s world due to cyber-attacks and security threats. For data protection, many companies develop software. Software is used to protect data. Cybersecurity is essential because it helps to protect information and our system against viruses.

5. Decision Intelligence (DI)

Although Decision Intelligence (DI), although it has been around for a while, is still relatively new in IT. After the examinations of Dr. Lorien Pratt and Mark Zandari, this field was born in 2012.

This innovation is intended to assist business leaders and organizations to understand the possible consequences of deciding before they make it.

This is in contrast to artificial intelligence/machine-learning because DI allows the business to utilize AI for better development and benefits. Decision Intelligence is a rich source of information. It then assists organizations in unlocking the value of their information using artificial intelligence (AI).
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6. Hyper Automation

Hyperautomation is next on the list. It will be the top ten most powerful technologies in 2022. It is a vital tool to future-proof associations.

It incorporates AI-empowered automated processes but goes beyond RPA to include other computerized innovations such as IoT to further increase activity at all levels of the business and consumer loyalty.

Intelligent automation is a combination of the most recent artificial intelligence technologies. It connects people, products, and processes to provide hyper-automation.

7. Edge Computing

Edge computing is a distributed computing platform that connects enterprise applications to data sources like IoT devices and local edge servers.

The proximity of data at the source can provide strong business benefits such as faster insights, better response times, and greater bandwidth availability.

This model optimizes technological interactions, reduces latency at the point of origin, and allows for more efficient and real-time data usage. Edge computing is rapidly becoming the most efficient way to localize interactions.
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8. IoB (Internet of Behaviors)

The internet of business or IoB provides more clarity into buyer behavior as the world becomes more digitalized. The IoB is a great tool for organizations that want to keep an edge. It allows them to access information about buyer associations, inclinations and buying behavior.

9. Low-Code Technology

Low-code technology allows programming advancement for those who lack specialized knowledge. Conventional programming advancement can be a lengthy, tedious cycle that requires a significant amount of programming information as well as critical time speculation.

Low-code technology allows programming to be done with a simple interface and minimal backend coding. This allows business clients to address a variety of explicit problems without needing to hire a highly specialized asset.
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10. Quantum Computing

Quantum computing uses quantum mechanics to make it possible to solve many problems. IBM created quantum computers to solve complex problems that even the most powerful supercomputers today cannot and will not solve.

Google was the first company to offer a quantum computer, but IBM made it possible for companies to utilize this technology.

Amelia Scott

Amelia is a content manager of The Next Tech. She also includes the characteristics of her log in a fun way so readers will know what to expect from her work.

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