We live in a world that is driven by artificial intelligence. Artificial intelligence (AI) has had a significant impact on the strengthening and transformation of industries all over the world, particularly in the United States. We are entering an increasingly digitally altered society, and artificial intelligence (AI) continues to be a powerful transformation driver for global industries and businesses. Global artificial intelligence (AI) sales are expected to grow at a compound annual growth rate of 39.4 percent between 2022 and 2030, resulting in a total market value of $20.7 billion at the end of the forecasted period. According to technology leaders, artificial intelligence will be the most transformative technology that humanity has ever created.
In 2021, artificial intelligence caused significant disruption.
The world awoke in 2021 from the effects of a global pandemic that had never been seen before. As a result, new types of business issues have emerged as a result of this development. These issues have prompted companies to respond by developing new artificial intelligence-powered products and solutions to address them. According to the Harvard Business Review, 86 percent of respondents stated that artificial intelligence was a “mainstream technology” at their company in 2021. Technologies such as video analytics, the Internet of Things, robotic process automation, natural language generation, virtual agents, and others have re-evaluated every aspect of a company’s operations, from customer interaction to labor management to market entry, among other things.
Video analytics is an example of a technology that has enabled businesses to adapt and grow in the face of change by providing innovative solutions. Video analytics is becoming increasingly popular. AI-powered CCTV surveillance has revolutionized every aspect of our lives, from personal and home safety to patient monitoring, motion tracking, facial recognition, retail analytics, and ensuring safety and security compliances in a variety of environments. Retailers can use customer behavior data to inform the layout of their stores and the number of employees they require. With the advancement of technology, video analytics has progressed from being used solely for video surveillance to playing a more significant role in the world of artificial intelligence. With the help of license plate recognition, they can control who has access to their private parking garage. Smart conveying & loading unloading time has evolved video analytics from being merely about video surveillance to playing a more significant role in the world of artificial intelligence.
Trends in artificial intelligence to look out for in 2022
With the rise of artificial intelligence-driven trends, people are left wondering what will be the next big thing to hit the world. Check out this compiled list of the most interesting artificial intelligence trends to keep an eye out for in 2022.
Return on Investment (ROI)-driven AI implementation: In 2022, sectors will encourage collaboration between business and IT teams, which may aid organizations in predicting the business outcomes of AI deployments in advance and ensuring automated maintenance.
Video analytics- In the year 2022, a new and expanded introduction to the trend of video analytics will be made available. Video analytics can be beneficial to any organization in terms of security and marketing. Global AI-based surveillance and security market estimates predict that it will reach $4.46 billion (USD) in 2023, with nearly half of all countries already using AI cameras as vision sensors in advanced artificial intelligence vision systems. In the world of business, this will be a game-changing invention. ‘Staqu’ is the person in charge of this uprising. JARVIS is a prime example of this revolution in action. It has proven to be one of the best AI-powered adaptive Video Analytics solutions available, thanks to its use of cutting-edge facial recognition technology and intelligent monitoring of objects, crowds, perimeters, and vehicles. All safety, security, and analytics solutions can be found in a single location.
AaS business models allow organizations to tailor solutions more closely to their specific needs by utilizing cloud-based infrastructure and services. Given that services are frequently provided on a subscription basis, the software as a service model can provide scalability and cost-effectiveness, reducing the amount of capital investment that organizations must commit to while assisting them in transitioning to a more operating expense framework. The global market for public cloud application services is expected to be worth several billion dollars by 2022, according to forecasts. In the case of video surveillance, cloud-based recording can be enabled by applying software-as-a-service concepts, resulting in VSaaS. There is no longer a requirement for on-premise servers, and businesses can quickly implement solutions without having to worry about complicated and time-consuming network configurations. There are numerous network and system procedures that are automated, as well as the ability to centrally monitor cameras and other devices.
Artificial intelligence (AI) is becoming increasingly important in the field of information security, as evidenced by the improvement in cyber-security. By 2026, it is expected that the cyber-security industry for artificial intelligence and machine learning will reach US$38.2 billion. Automated cyber-security solutions have the potential to increase global revenue prospects by $5.2 trillion over the next five years. The use of artificial intelligence will assist businesses in improving their cloud migration strategies and maximizing the value of big data technology.
AI in the Metaverse: The creation of a digital ecosystem in which different programs and websites can interact and collaborate will be the next step in the adoption of artificial intelligence. The year 2022 will be pivotal in the unification of the digital world, as companies such as Facebook strive to provide users with a unified digital experience.
A data fabric is a network of interconnected data products that are tied to business goals and key performance indicators (KPIs) and that can be used to provide critical insights throughout a company’s operations. As reported by MarketWatch, this industry is expected to grow by more than 25 percent by 2025, and it will contribute to increasing the return on technology investments while simultaneously reducing operational costs.
Internet of Things (IoT) and Artificial Intelligence and Machine Learning: Artificial intelligence and machine learning are being used to make Internet of Things devices and services smarter and more secure at an increasing rate. The Gartner Group predicts that artificial intelligence and machine learning will be used in more than 80 percent of IoT activities in enterprises by 2022.
As artificial intelligence (AI) takes the lead in hyperautomation, the goal of streamlining processes to increase efficiency, accuracy, and productivity will continue to be the driving force behind digital transformation in 2022. Using video analytics, for example, manual monitoring will be completely automated, resulting in cost savings, assessing employee productivity, and determining whether or not covid compliances are being followed. A number of activities will also be automated, with artificial intelligence (AI) being used to generate revenue.