Artificial intelligence adoption in different enterprises has grown due to the pandemic. In 2019, IDC predicted that spending on AI technologies would increase to $97.9 billion by 2023. Since the COVID-19 pandemic hit the world, the potential value of artificial intelligence has only grown. A survey published by the McKinsey State of AI in November 2020 suggested that at least half of the organisations have adopted AI functions in their organization. This article on Artificial intelligence trends will help you understand more about upcoming Artificial Intelligence trends in 2022.
AI becomes increasingly important as organisations continue to automate day-to-day operations and understand COVID-affected datasets. Businesses are more digitally connected than ever since the lockdown and work from home were implemented.
Artificial Intelligence (AI) Trends in 2022
This article will help you understand the top Artificial Intelligence trends and talk about how these developments could affect digital transformation.
The focus of AI adoption is restricted to improving the efficiency of operations or the effectiveness of operations. It can be leveraged to improve the stakeholder experience as well. Let us take a look at the top trends expected in 2021.
Greater Cloud and AI collaboration
Rico Burnett, the director of client innovation at legal services provider Exigent, says that Artificial Intelligence will play a significant role in the broad adoption of Cloud Solutions in 2021. Through the deployment of artificial intelligence, it will be possible to monitor and manage cloud resources and the vast amount of available data.
AI solutions for IT
The number of AI solutions that are being developed for IT will increase in 2021. Capgemini’s Simion predicts that AI solutions that can detect common IT problems on their own and self-correct any small malfunctions or issues will see an increase in the upcoming years. This will reduce downtime and allow the teams in an organization to work on high-complexity projects and focus elsewhere.
AIOps become more popular
Over the last few years, the complexity of IT systems has increased. Forrester recently said that vendors would want platform solutions that combine more than one monitoring discipline, such as application, infrastructure, and networking. IT operations and other teams can improve their key processes, decision-making, and tasks with AIOps solutions and improved analysis of the volumes of data coming its way. Forrester advised the IT leaders to find AIOps providers who will empower the cross-team collaboration through end-to-end digital experiences, data correlation, and integration of the IT operations management toolchain.
AI will help in structuring data
In the future, we will see more unstructured data structured with natural language processing and machine learning processes. Organisations will leverage these technologies and create data that RPA or robotic process automation technology can use when they want to automate transactional activity in an organization. RPA is one of the fastest-growing areas in the software industry. The only limitation that it faces is that it can only use structured data. With the help of AI, unstructured data can easily be converted into structured data, which can provide a defined output. This is one of the most important AI trends.
Artificial intelligence talent will remain tight
The supply of talent is expected to be an issue in adopting artificial intelligence in 2021. There has been a persistent gap in AI talent, and organisations have finally realized this potential. It is essential to address this gap and ensure that a wider group of people learn artificial intelligence. Ensuring that a broader set of users have access to artificial intelligence to focus on technology, learning strategies, and supporting a change in the working environment is essential in 2021. This is one of the most important AI trends.
Large-scale adoption of AI in the IT industry
We have seen continuous growth in the adoption of AI within the IT industry. However, Simion predicts that organisations will use AI in production and start using them on a large scale. With the help of artificial intelligence, an organization can get ROI in real time. This means that organisations will see their efforts being paid off. This is one of the most important AI trends.
AI Ethics is the focus
Natalie Cartwright, co-founder, and COO of Finn AI, an AI banking platform, predicts that in 2021, organisations will deliver expertise on how to leverage artificial intelligence against major global problems, stimulate innovation and economic growth, and ensure inclusion and diversity. As AI ethics become more important to organisations, transparency of data and algorithm fairness are two of the issues that are in the spotlight.
Augmented Processes have become increasingly popular
Artificial intelligence and data science will be a part of the bigger picture regarding innovation and automation in 2021. Data ecosystems are scalable and lean and also provide data on time to heterogeneous sources. However, providing a foundation to adapt and foster innovation is necessary. According to Ana Maloberti, a big data engineer at Globant, companies will go further to optimize their augmented business and development processes. Using Artificial Intelligence, software development processes can be optimized, and we can look for a wider collective intelligence and improved collaboration. We must foster a data-driven culture and grow out of the experimental stages to move into a sustainable delivery model. This is one of the most important AI trends.
Artificial Intelligence will become more explainable
The senior director of product at customer data hub Tealium, Dave Lucas, says that there will be a bigger focus on explainability. As more data regulations come into play, trust in AI will be pivotal. To clearly understand and articulate how each characteristic will contribute to the machine learning model’s end prediction or the result.
Voice and Language Driven Intelligence
Particularly in customer care centers, the increase in remote working has driven a great opportunity to adopt NLP or ASR (automated speech recognition) capabilities. Less than 5% of all customer contacts are routinely checked for quality feedback, according to ISG’s Butterfield. Due to the lack of one-on-one coaching, organisations can use artificial intelligence to complete routine quality checks on customer understanding and intent to ensure continued compliance.
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Frequently Asked Questions
As we are already witnessing the advent of artificial intelligence, we can easily say that it is likely to have a promising future. Given that AI has quickly become an essential part of businesses across various industries, we can assume that it will continue to be the most revolutionary technology to be created by humankind.
AI is a blend of several technologies that have come together to create solutions to several business problems and automate many tasks as well. With the introduction of trends like cloud computing, big data, voice detection, and so much more in the picture, AI has only garnered more attention.
With already ongoing trends like AI in Healthcare, autonomous vehicles, facial recognition, and more, we might see a shift towards cybersecurity, intelligent process automation, etc.
Deep learning, a method where scientists educate robots by providing them with various types of data, is the most powerful AI technology to date. The computer uses the provided data set to make decisions gradually, resolve issues, and carry out various kinds of jobs on its own.