AI Trends

 Top 10 Artificial Intelligence Trends in 2021

Top Artificial Intelligence trends in 2021

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.

1. 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. 

2. 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 its 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 organisation to work on high-complexity projects and focus elsewhere. 

3. AIOps becomes 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. 

4. AI will help in structuring data 

 In the future, we will see more unstructured data is 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 organisation.  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. 

5. 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 realised 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. 

6. Large scale adoption of AI in the IT industry

We have seen continuous growth in adoption of AI within the IT industry. However, Simion predicts that organisations will use AI in production and start using them at a large scale. With the help of artificial intelligence, an organisation can get ROI in real-time. This means that organisations will see their efforts being paid off. 

7. 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. 

8. Augmented Processes become increasingly popular

Artificial intelligence and data science will prove to be a part of a bigger picture when it comes to innovation and automation in 2021. Data ecosystems are scalable, lean, and also provide data on time to heterogeneous sources. However, it is necessary to provide a foundation to adapt and foster innovation. According to Ana Maloberti, a big data engineer at Globant, companies will go a step further in optimising their augmented business and development processes. Using Artificial Intelligence, software development processes can be optimised, 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. 

9. 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, the trust in AI will be pivotal. To clearly understand and articulate how each characteristic will contribute to the end prediction or the result of the machine learning model. 

10. Voice and Language Driven intelligence 

Particularly in customer care centres, 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.