Top Ten Technologies That Will Outperform AI/ML in 2022 – Analytics Insight



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December 7, 2021

Top ten technologies

Here is the list of the top ten technologies that will outperform AI/ML in 2022

Artificial intelligence is a technology for businesses and solution providers. AI combined with machine learning, deep learning and neural networks can be a powerful combination. Businesses can use AI to achieve cost-saving benefits, streamline workflows, improve the customer experience, enable more efficient communications through chatbots, increase customer satisfaction, and provide insight into purchasing behavior. To help meet the demands of a technology-enabled consumer base, artificial intelligence is not enough. Solution providers must embrace digital transformation to realize their full potential. But, where to begin? Here is the list of the top ten technologies that will outperform AI/ML in 2022.

Blockchain Technology

Blockchain technology is often linked with cryptocurrency, but it is more than that. Blockchain is a system of recording information in a way that makes it difficult or impossible to change, hack, or cheat the system. A blockchain is essentially a digital ledger of transactions that is duplicated and distributed across the entire network of computer systems on the blockchain. It is one of the top ten technologies that will outperform AI/ML in 2022.

Computer Vision

Computer vision is the field of computer science that focuses on creating digital systems that can process, analyze, and make sense of visual data (images or videos) in the same way that humans do. The concept of computer vision is based on teaching computers to process an image at a pixel level and understand it. Technically, machines attempt to retrieve visual information, handle it, and interpret results through special software algorithms.

Customer Data Platforms

A customer data platform (CDP) is designed for the marketing. It collects and unifies first-party customer data from multiple sources to build a single, coherent, complete view of each customer. It then makes that data available to marketers to create targeted and personalized marketing campaigns. Customer data platforms bring this information together into a single source to provide a comprehensive picture of consumers and eliminate the potential for unclean data. It is one of the top ten technologies that will outperform AI/ML in 2022.

Cybersecurity

In today’s world, cybersecurity is very important because of some security threats and cyber-attacks. For data protection, many companies develop software. This software protects the data. Cybersecurity is important because not only does it help to secure information but also our system from virus attacks.

Decision Intelligence (DI)

Even though it’s been around for some time, Decision Intelligence (DI) is still moderately new in IT. This field arose in 2012 after the examination of Mark Zandari and Dr. Lorien Pratt. It is an innovation intended to help organizations and business pioneers to comprehend the potential results of a choice before taking action. It contrasts with artificial intelligence/machine learning in that DI permits the business utilization of AI to accomplish better benefits and development. Decision Intelligence is filled with one crucial resource – information. Subsequently, it assists organizations with opening the worth of their information through artificial intelligence (AI) technology.

Hyper Automation

Next on the list of the top ten technologies that will outperform AI/ML in 2022 is Hyperautomation. It is an imperative tool for future-proof associations. It includes AI-empowered automated processes yet goes far past RPA to incorporate other computerized innovations like IoT to further develop activity at each level of the business just as consumer loyalty. Utilizing intelligent automation, coupled with the latest artificial intelligence technologies, raises the bar by connecting processes, people and products to deliver hyperautomation.

Edge Computing

Edge computing is a distributed computing framework that brings enterprise applications closer to data sources such as IoT devices or local edge servers. This proximity to data at its source can deliver strong business benefits, including faster insights, improved response times, and better bandwidth availability. This model optimizes technological interactions and reduces latency at the point of origin to enable more effective and real-time data consumption. Edge computing is quickly becoming the most efficient path for localized interactions.

IoB (Internet of Behaviors)

As the world turns more digitized, informed business is the way to progress, and the web of practices or IoB gives more prominent clearness into buyer conduct. For those organizations needing to maintain an upper hand, the IoB offers open doors as information assortment and examination concerning buyer associations, inclinations, and buying conduct.

Low-Code Technology

Low-code technology is carrying programming advancement to those without a significant degree of specialized information. Conventional programming advancement is a long, strenuous cycle, requiring an undeniable degree of programming information and critical time speculation. With low-code technology, programming can be created with an intuitive interface and no broad backend coding. This permits business clients to tackle an assortment of explicit difficulties without expecting to draw in an exceptionally specialized asset.

Quantum Computing

Quantum computing harnesses the phenomena of quantum mechanics to deliver a great leap forward in computation to solve various problems. IBM designed quantum computers to solve complex problems that today’s most powerful supercomputers cannot solve and never will. While Google came on the scene in 2017 with a guarantee of the biggest quantum PC, IBM has made it feasible for organizations to use this innovation.

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