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Powers of Automation: AI Trends in 2022 and Beyond

Artificial intelligence is transforming and taking new forms at every turn. It is no longer the stand-alone platform it used to be earlier. Today, it incorporates numerous new and emerging technologies. Indeed, the AI-led transformation is so pervasive that it is profoundly influencing user experience and how humans interact with brands and technologies in unprecedented ways.

From start-ups to massive corporations, everyone is racing to implement new artificial intelligence trends for operational excellence, data mining, and so on. The way AI is trending, it looks like it has already become an unmistakable part of our everyday lives and how we work.
Let us look at some of the upcoming AI technology trends in 2022 and beyond and how it is setting transformation across dimensions.

Move over GPU, enter ASIC and FPGA

Computing will undergo a significant transformation in the coming decade. Thanks to AI. Graphics processing units (GPUs) are giving way to Application-Specific Integrated Circuits (ASICs) and Field Programmable Gate Arrays (FPGAs). This is due to the fact that ASIC and FPGA outperform GPU.

ASIC will use multicore processing to perform complex AI functions while consuming less power. In fact, ASIC is becoming so promising and prevalent that Google has invested in it developing the tensor processing unit. On the other hand, FPGA will take things a step further by allowing designers to reconfigure designer blocks. AWS’ investment in FPGA through AWS Inferential indicates that FPGA will truly transform the compute component of AI over the next decade.

AI in Data Dimensions

Data is an essential component of AI evolution because data scientists must gain access to datasets at a low cost and teach their findings to deep learning (DL) models. The AI data component will evolve in terms of multiple sources, level of detail, and processing mode.

In terms of how AI uses data to make accurate predictions, a revolution is already in the making. Sensors and IoT devices generate digital dust, and logs from millisecond-level impact systems generate data over the course of a quantum time. These appear to be tell-tale signs that point to an impending revolution in the data dimension of AI, which shows no signs of stopping in the coming decade.

Data Fabric

A data fabric is a network of interconnected data products that are linked to business goals and key performance indicators (KPIs) and can be used to provide critical insights throughout a company. According to MarketWatch, this industry will grow by more than 25% by 2025, assisting in increasing the return on technology investments and lowering operational costs.

AI-driven Video Analytics

What seemed a bit of a stretch when the movies showed cameras scanning objects, retinas, and crowd scanning, is now almost a reality.

Almost half of all countries already use AI cameras as vision sensors that use advanced AI vision systems. This will be a game-changing invention for businesses. This revolt is being implemented and exemplified by many companies. With cutting-edge facial recognition technology and intelligent monitoring of objects, crowds, perimeters, and vehicles, it has proven to be one of the best AI-powered adaptive Video Analytics solutions available. It is a one-stop-shop for all safety, security, and analytics solutions.

The next-gen algorithms

With more advancements happening with artificial neural networks (ANN), it appears that the way AI thinks about a situation will be similar to how humans perceive the same situation. This may sound like a long shot, but it is not too far away. This is significant because we will then be able to develop DL models that can perform precise analysis even with limited data.

Every day, new algorithms are created to deal with complex data, speed, parallel computation, cost, accuracy, and precision. GPT3 can virtually solve any NLP task with the highest level of accuracy. So, experts in computer vision are leveraging the concept of transformers to make algorithms more context-aware, reducing the effort of training images through all possible orientations.


With major tech giants leveraging and pushing the boundaries of AI, it’s quite evident that there will not be any major vertical left untouched by it. We will live in an AI-driven world, and organizations that begin preparing for this transformation now will thrive in the coming decade. In the coming years, there will be a surge in the latest automation trends on the market, which will have a long-term impact on both individuals and businesses.

Netlabs Global is a leader in providing Robotics Process Automation, Artificial Intelligence, and Machine Learning solutions to help organizations successfully and effortlessly implement intelligent automation to their business processes. Talk to us today to learn more about how our solutions and services can help transform your business.

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