Are you looking for top AI trends in 2022?
Artificial intelligence is transforming every industry and every person. AI is advancing emerging technologies like big data, robotics and IoT and it will continue to transform in the future.
The world is adopting AI technology very fast in every industry. As we go deeper, it would be hard to find any industry that is untouched by AI. Since the COVID-19 pandemic hit the world, half of the organizations have adopted AI functions in their organization.
In 2019, IDC had predicted that companies spending on AI technologies would increase to $97.9 billion by 2023.
Covid has changed the way of operations in businesses. Businesses are more digitally connected now and work from home was put into action.
- Here are the Top 8 Next Generation AI Trends In 2022
- 1. Cloud-Based AI and Data Solutions
- 2. Developed Low Code and No-Code Technology
- 3. Voice and Language Driven intelligence
- 4. Auto ML
- 5. Improved Natural Language Processing
- 6. Blockchain in Data Science
- 7. AI in Metaverse
- 8. AI-Based Cybersecurity
- FAQs About AI Trends In 2022
Here are the Top 8 Next Generation AI Trends In 2022
In 2021, we saw some interesting trends like Open AI’s launch of DALL-E, AI multimodal that can generate images from text, AI to recognise masked faces, climate change analysis, and the most recent Facebook announcement of Metaverse – a multi-modal virtual reality universe.
Here are some latest and next generation key trends we will see in 2022:
1. Cloud-Based AI and Data Solutions
We can see an interesting growth in cloud-based solutions. We are producing data on a very large scale. Collecting, labelling, cleaning, arranging, formatting, and analyzing this tremendous volume of data in one location is the issue. An AI-cloud based platform can solve this problem.
Data Science and Machine Learning will be the key technology in cloud computing. Amazon appears to be better than its competitors, but AI in cloud computing can be game changing for other players too.
What are the top cloud-based AI service providers?
- Amazon Web Services (AWS)
- Microsoft Azure
- IBM Bluemix
2. Developed Low Code and No-Code Technology
Low code and No code platforms allow businesses and developers to drag and drop application components, connect them together and design mobile or web applications.
Artificial intelligence is a game changer in low code and no code technology, drastically simplifying regular web and mobile application development and making it accessible to a wide range of businesses.
Everyone will be able to become a citizen developer and describe the problem they’re seeking to address in simple English and create the application.
3. Voice and Language Driven intelligence
Particularly in customer care centers, we will see a huge impact of AI due to increasing remote working. According to a recent report, AI will save 8 billion USD per annum by 2022 for the customer care industry.
Speech Recognition, Natural Language Processing, and Speech Synthesis will have more advancement. Other industries where Voice AI will create a wave is Healthcare for advanced diagnostics through AI.
Today, Voice Biomarkers-based AI can detect Covid with 80% accuracy! We are going to see similar advancements in detecting other pulmonary diseases and mental health diseases such as depression, anxiety, and Alzheimer’s.
4. Auto ML
What is Auto ML? Techniques of implementing machine learning models in real world situations via automation are automated machine learning (AutoML).
Specifically, it automates the selection, construction, and parameterization of machine learning models. AutoML is more user friendly, produces faster, more accurate results than hand-coded methods. Auto ML will let non-experts create and deploy models easily.
One of AutoML’s biggest challenges is to think of it as a replacement for human expertise. It should reduce workload, complete monotonous jobs quickly and accurately so that workers can focus on more complicated tasks.
Auto ML will be in trend in 2022 as it is easy to use and simple.
5. Improved Natural Language Processing
NLP is frequently used in corporate operations for data analysis and identifying patterns in trends.
According to MarketsandMarkets, the NLP market would grow to USD 35.1 billion by 2026. In 2022, Natural language processing is expected to be more used for the quick data retrieval of data from data repositories.
Natural Language Processing (NLP) will have access to high-quality data, resulting in high-quality insights. It is expected to grow 14 folds by 2025.
6. Blockchain in Data Science
The use of decentralized ledgers simplifies the management of huge amounts of unorganized data. A data scientist collects, analyzes and interprets data to uncover insights and its time consuming procedure that necessitates data scientists’ efforts.
Now they can conduct analytics straight from their personal devices with the help of blockchain in data science.
Blockchain monitors the provenance of data so it becomes easier to verify the data. Unorganized data problems can be efficiently solved with blockchain technology.
7. AI in Metaverse
Metaverse is a virtual reality platform that uses speech API, computer vision, NL understanding to simulate real world environments and characters.
2022 will be critical for unifying the digital world and AI in Metaverse will establish a unified digital experience for users.
At the end of 2021, we saw major companies like Facebook, Nvidia and Amazon entering into this future of virtual space. With COVID driven shift to a digital world, Metaverse will transform the gaming and media sectors.
Microsoft is building virtual reality team meetings. The fashion brand H&M launched a metaverse store. Metaverse will become more accessible to mainstream users in 2022 and we will see huge involvement in movies, digital stores, social networks, and digital tourism industries.
8. AI-Based Cybersecurity
Artificial intelligence (AI) is becoming the root of information security. AI-based cybersecurity and machine learning are anticipated to reach USD $38.2 billion by 2026.
Automated cybersecurity solutions are expected to raise global revenue prospects by $5.2 trillion in the next 5 years. AI will improve cloud migration strategy and maximize the value of big data technology.
Cybercrime is one of the major global risks. Hackers look for vulnerabilities and loopholes in organizations’ IT security and steal important data. AI can play a vital role in identifying suspicious activities by analyzing patterns of network traffic and stopping information leaks.
So We can see some significant developments in using AI in cybersecurity in 2022.
These are the top 8 AI trends to watch for in 2022. Artificial intelligence is transforming our lives due to its heavy use in our day to day life. In 2022, more enterprises will move to AI in their operations.
Artificial Intelligence (AI) is the future and businesses who invest in AI will thrive, gain greater ROI and create new growth opportunities in society.
FAQs About AI Trends In 2022
Q. What is the scope of artificial intelligence in 2022?
A. We’ll see the huge scope of Artificial Intelligence in almost every major sector such as Agriculture, Healthcare, Education and Infrastructure, Transport, Cyber Security, Banking, Manufacturing, business, Hospitality etc.
Q. Who is the most advanced AI?
A. Hanson Robotics’ most advanced human-like robot, Sophia, is one of the most advanced known AI in the world.
Q. Will artificial intelligence take over?
A. Artificial intelligence will take over the world by 2025. PWC predicts that 30% of jobs will be automated by 2030. CBS News reports AI will replace 40% of employees within 15 to 25 years.
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