Artificial intelligence (AI) trends for 2022

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As we move deeper into a digitally transformed society, Artificial Intelligence (AI) continues to be a powerful change catalyst for global industries and businesses. The industries that AI supports are evolving at the same time. New AI developments reveal new opportunities for businesses to grow at the same time, thanks to this ever-evolving and versatile technology.

Keeping up with the latest AI trends and advancements, on the other hand, is nearly as difficult as wiping the windscreen of a moving car — difficult, but not impossible.

Fortunately for you, your tech-savvy Brainiacs have calculated the velocity of the moving target that is AI trends and wiped the filthy windscreen of ignorance away, giving you a clear view of the path ahead (at 100mph).

To put it another way, we've compiled a list of the most intriguing AI trends to watch in 2022.

1. Hyperautomation as a modern business cornerstone

According to Gartner, hyperautomation (the process of automating everything that can be automated) is still necessary for any company to keep up with the digital advancements of modern business practices.

Hyperautomation will remain the driving force behind digital transformation in 2022, with the goal of streamlining processes to increase efficiency, accuracy, and output. RPA is critical in establishing a foundation to accelerate business processes in the years ahead as the world continues to adopt digital technologies as drivers of innovation and growth.

2. The adoption of AIOps as a standard

AIOps is used to improve key processes and tasks of an organization's IT operations by better analyzing large volumes and categories of collected data as complex IT environments and technologies continue to evolve.

Organizations benefit from more accurate predictions that lead to better decision-making opportunities thanks to Machine Learning's (ML) ability to gather and synthesize massive data chunks. Furthermore, through data correlation, this technology enables cross-team collaboration, paving the way for end-to-end digital experiences across entire organizations.

3. Intelligence based on speech and language will become more common.

Since 2019, the voice and speech recognition market has grown at a CAGR of 17.2%, and is expected to reach USD 22.0 billion by 2026, up from USD 8.3 billion in 2021.

Because of the pandemic, there has been an increase in the use of smart speakers, as well as a steady shift toward contactless technologies due to hygiene concerns.

Voice solutions aimed at improving business processes (i.e. voice in meetings and voice for business intelligence) became popular in 2021, and 2022 will be no different.

Voice assistants will become more tailored to specific business problems and integrated with internal systems like CRM and business processes.

4. AI ethics will take shape.

The lack of governmental oversight has pushed the debate over the ethics of responsible AI to the forefront as private companies drive AI advancements. We can expect continued initiatives from global AI partnerships in 2022 on how to use AI to combat major global issues like climate change and inclusion and diversity. As more businesses recognize the importance of ethical technology, ethics will continue to play an important role in stimulating innovation and economic growth. As AI adoption becomes more widespread than ever, issues such as algorithm fairness and data transparency will need to be addressed this year.

5. The foundations of Artificial Intelligence of Things (AIoT) will be laid.

As the merging of AI and the Internet of Things (IoT) became more sophisticated, 2021 established the gravitas of the AIoT. The ability of AI to present actionable insights in real-time will propel the IoT to new heights by allowing it to take actions based on data collected by IoT devices.

The deployment of 5G, which is already enabling faster data transfers across IoT devices, is a major driving force behind this technology. As AI's intervention in this technology allows for automated processes on a much larger scale, this will result in an increase in smart homes, offices, and cities powered by sensor-driven devices in 2022.

6. Artificial intelligence (AI)-assisted cyber-security is becoming more sophisticated.

AI will be used for preventative cyber-security initiatives in 2022 as the world shifts to remote working systems. This is primarily due to the widespread use of employees' personal laptops and computers to access company servers, exposing businesses to cyber threats.

Unfortunately, cybercriminals are employing artificial intelligence (AI) to circumvent traditional IT security systems and gain access to systems containing sensitive company and personal data. However, AI aids in the fight against cyber threats, and we anticipate that this year, more businesses will invest in data security through the use of sophisticated cyber-security technologies.

7. Artificial intelligence investment is soaring.

The pandemic is constantly demonstrating to businesses the true value of AI and RPA as a driver of efficiency, accuracy, and higher customer satisfaction. According to a PwC survey, 86 percent of respondents believe AI will be mainstream in their business operations by 2021, indicating a significant increase in AI investment by global businesses. Businesses have been able to stay open during the pandemic in many cases thanks to AI technology, and in the face of future uncertainty, businesses are betting on smart technology to foster growth and drive revenue.

8. Artificial intelligence in the workplace

Artificial intelligence (AI) is present in almost every digital touch point we use, and for good reason: it makes things easier, simpler, and faster. For years, AI has aided businesses with office and administrative automation, from routine rule-based tasks to high-level data synthesis – you name it.

However, AI will become more sophisticated in the workplace by 2020 (and beyond), allowing us to focus on more complex tasks while machines handle time-consuming remedial processes through robotic process automation (RPA). AI can now assist us in far more sophisticated and streamlined ways than ever before in creating websites, filling out forms, creating documents, and finding information needles in massive data haystacks.

What's most important about AI in the workplace is that, while much of the above has been speculation in recent years, theories and prototypes are now being tested in real-world scenarios by businesses large and small. The metaphorical training wheels are coming off, and we're starting to see if RPA technology is saving companies time and money as expected. Many companies will be able to see dollar and cent results on their AI innovation as they approach their financial year-ends in April and July.

9. Recognized faces

Despite the controversy and debate surrounding facial recognition technology, its popularity among global enterprises and governments will see the technology refined and rolled out at scale in 2022.

Facial recognition technology will improve at doing what it was created for: tracking nodal points on a human's face and matching them to a database of images. Because the technology is new, critics have questioned its accuracy. Face recognition software will become far more reliable in 2022 as our deep learning and machine learning capabilities improve.

10. A higher level of personalization

Users expect customized dealings with brands of all types, from banking to e-tail, and personalized digital experiences have quickly become the norm. This has resulted in a surge in advances in Machine Learning (ML) and AI's predictive capabilities, which are assisting businesses in gaining more accurate user insights.

As users expect more personalized touches with each digital interaction, the accuracy of this technology will continue to improve. Businesses will gain a better understanding of the personalities behind their users, allowing them to better predict and recommend products, and consumers will benefit from far more streamlined shopping experiences. The ability of businesses to achieve this level of personalization at scale will be the most significant advancement in this technology in 2022.

11. Edge computing is becoming more popular.

As previously stated, the majority of AI that the average person interacts with is housed in 'the cloud,' which is a geographically specific location that houses high-powered data centers in server rooms.

When you search for something online, make a purchase, or even stream the latest TV show, data is sent directly from these server rooms to your device, which is often on the other side of the world. This places a significant strain on our global bandwidth highway, and as the number of internet-connected devices (IoT) grows, we will need to find new ways to free up bandwidth. This is where edge computing comes in.

The concept is to bring computation to the 'edge.' Smart devices will isolate power-intensive processing close to the source, sending only important data back to server rooms around the world, freeing up our global bandwidth. With the introduction of 5G, edge computing is being adopted at a large scale. The number of worldwide IoT devices is expected to rise to 30.9 billion by 2025, from 13.8 billion in 2021.