Top 10 Artificial Intelligence Trends in 2021
As a result of the epidemic, the use of artificial intelligence in various businesses has increased. By 2023, according to IDC, spending on AI technology would have increased to $97.9 billion. Artificial intelligence’s potential worth has only increased since the global COVID-19 epidemic.
AI will become more crucial as companies continue to automate day-to-day operations and better analyse COVID-affected datasets. Since the lockdown and work-from-home policy was implemented, businesses are more technologically connected than ever before.
Top Artificial Intelligence trends in 2021
The goal of AI adoption is to improve the efficiency or effectiveness of operations. It can also be used to enhance the stakeholder experience. Let’s take a look at the most important trends for 2021.
1. Greater Cloud and AI collaboration
Artificial Intelligence, according to Rico Burnett, director of client innovation at legal services provider Exigent, will play a crucial role in the broad adoption of Cloud Solutions in 2021. artificial intelligence development services in USA will make it easy to monitor and manage cloud resources as well as the large amount of data available.
2. AI solutions for IT
In 2021, the number of AI solutions being created for IT will rise. AI solutions that can detect typical IT problems on their own and self-correct any minor faults or errors, according to Capgemini’s Simion, are expected to grow in popularity in the coming years. This will reduce downtime and allow teams to work on high-complexity projects while focusing on other things.
3. AIOps becomes more popular
The complexity of IT systems has increased in recent years. Suppliers, according to Forrester, want platform solutions that cover a wide range of monitoring disciplines, including application, infrastructure, and networking. With AIOps solutions and greater analysis of the quantities of data coming their way, IT operations and other teams may improve their core processes, decision making, and activities. Forrester urged IT leaders to seek out AIOps suppliers who can enable cross-team collaboration through end-to-end digital experiences, data correlation, and toolchain integration.
4. AI will help in structuring data
More unstructured data will be structured in the future using natural language processing and machine learning processes. Organizations will take use of these technologies and generate data that can be used by RPA (robotic process automation) technology to automate transactional operations. RPA is one of the software industry’s fastest-growing segments. Its only constraint is that it can only work with organised data. Unstructured data can be easily turned into structured data with the help of AI, resulting in a defined output.
5. Artificial intelligence talent will remain tight
In 2021, the scarcity of talent is projected to be a problem in the adoption of artificial intelligence. There has been a persistent talent vacuum in AI, and businesses have finally recognised its promise. It is critical to close this gap and teach artificial intelligence to a larger variety of individuals. In 2021, it will be critical to ensure that a wider range of users have access to artificial intelligence in order to focus on technology, learning methodologies, and enabling a shift in the workplace.
6. AI is being widely adopted in the IT business.
The adoption of AI in the IT industry has been steadily increasing. Simion, on the other hand, believes that businesses will begin to employ AI in manufacturing and on a massive scale. An organisation can receive real-time ROI with the use of artificial intelligence. This means that organisations will reap the benefits of their work.
7. AI Ethics is the focus
In 2021, Natalie Cartwright, co-founder and COO of Finn AI, an AI in Banking Sector platform, predicts that organisations will deliver expertise on how to use artificial intelligence to solve major global problems, stimulate innovation and economic growth, and ensure inclusion and diversity, according to Natalie Cartwright, co-founder and COO of Finn AI, an AI banking platform. Transparency of data and algorithm fairness are two of the challenges that are in the limelight as AI ethics grow more relevant to businesses.
8. Augmented Processes become increasingly popular
When it comes to innovation and automation in 2021, artificial intelligence and data science will be a part of a larger picture. Data ecosystems are scalable, lean, and supply data to a variety of sources on time. However, a foundation must be established in order to adapt and stimulate innovation. Companies will go a step further in optimising their augmented business and development processes. Software development processes can be optimised with Artificial Intelligence, and we can expect for a broader collective intelligence and improved collaboration. To develop into a sustainable delivery model, we need to foster a data-driven culture and grow out of the experimental stages.
9. Artificial Intelligence will become more explainable
According to Dave Lucas, senior director of product at customer data centre Tealium, there will be a greater emphasis on explainability. As more data restrictions are implemented, AI’s trustworthiness will become increasingly important. To effectively grasp and describe how each characteristic contributes to the machine learning model’s final prediction or result.
10. Voice and Language Driven intelligence
The rise in remote working, particularly in customer service centres, has created a wonderful opportunity to implement NLP or ASR (automatic speech recognition) capabilities. According to ISG’s Butterfield, only about 5% of all client contacts are consistently evaluated for quality feedback. Because one-on-one tutoring isn’t available, businesses can employ artificial intelligence to do routine quality checks on customer knowledge and intent to assure continuing compliance.
