Artificial Intelligence has dominated the restrictions put on by the COVID-19 pandemic throughout the year 2020. AI expanded its grip as it enabled data scientists to work from their homes when the pandemic forced the whole world not to expose to the outside world. Artificial intelligence-powered innovations have been continuously pouring from the smartest minds worldwide as the technology is always finding usage and application in both private and public sectors. Artificial intelligence is the central idea for the coming times, and it is considered to be the future technology that is going to have a significant impact on our lives. Moving ahead, Artificial intelligence will be the intelligent nucleus of the processes that are automated, robotic-driven, and contactless and will protect us all from future outbreaks. Since the possibilities of restraints are yet not over, there are some predictions related to artificial intelligence tools, techniques, platforms, and applications which can be seen further in 2021. In this article, we would discuss some of the most crucial predictions for artificial intelligence. 

  • Enabling Cashless Experiences: 2021 is expected to be the year of contactless services in terms of artificial intelligence. The COVID-19 pandemic has raised significant concerns like social-distancing, contactless shopping, remote working, etc. Thus, we can expect to experience contactless AI-powered technologies and services. For example,- the retail sector may leverage the self-shopping experience by virtual trials, product scanning, and online payment through their smart devices. The hospitality industry may introduce contactless intelligent document scanning. Similarly, the healthcare sector will enable online consultation through video platforms and leverage new healthcare advice through teletherapy. Also, branchless banking processes and parametric insurance can be introduced by the finance sector.

  • Robotic Process Automation (RPA): 2021 is expected to be more robotic process automation. This would enable the automation of repetitive tasks. In combination with artificial intelligence, robotics process automation would help to reduce the dependency on the human workforce and ensuring the organizations against any significant impact in future. For example,- RPA in healthcare can automate inventory management, appointment scheduling, billing and payments. So, RPA is going to be one of the trending technologies for organizations.

  • Digital Twin Simulation Technology Growth: The simulation and the concept of digital twin technology will never see before growth in 2021. Digital twin technology is the concept that is about developing digital representation, simulation or mockups to replicate the experience of a physical product or asset. This way, it helps to understand how the inputs would affect the real object. In 2021, companies developing a simulation of their products, services and vital processes like the whole supply chain would be increasing to auto-generate data to initiate improved analysis and ensure a better way implementation of the applications in the real-world. The most rapid growth in the use of digital twin technology would be observed in the healthcare sector as the doctors can optimize its usage to diagnose diseases at the early stage for giving better treatment to patients.

  • The arrival of New Dimensions of Algorithms: Reinforcement learning in creating new real-world applications of artificial intelligence is going to be the trend for 2021. The more intelligent generation of AI-powered devices or robots would seem to be providing training through reinforcement learning to flexibly direct, handle and manipulate the objects to give away solutions to the problems in real-world scenarios.

  • Advancement of Predictive and Prescriptive Analytical Tools: Predictive analytics is all about exploring the historical data and interpreting the value of data by analyzing past trends, events, and information and taking further actions to build rational predictions using artificial intelligence models. On the other hand, Prescriptive analytics is when you make recommendations or receive automated results obtained from the predictions by predictive AI models. For example,- the need to anticipate upcoming conditions and possible future scenarios to make business continuity strategies is inspiring the adoption of predictive and prescriptive analytics tools. We can expect the advancement and enhancement in the processes of analysis and interpretation of data this year as this would be helpful for businesses getting better insights, especially in some crucial sectors like healthcare, banking and finance, governance, and IT.

  • Automated Deployment- AI Shaping CI/CD: Companies will attempt to explore innovations for business continuity because the state of remote working will continue around the world in 2021 also. The small working culture will inspire the shift of workload to the cloud, enhancing significant data management needs. Not only regular data generation tools but Data Lakes and Warehouses will also provide utility for data-intensive applications for large data volumes processing. The more advanced versions of CI/CD platforms and increasing capabilities in pipeline tools can help leverage big data analytics to develop more intense insights into software delivery.

  • Enhanced Measures of Privacy and Security would Inspire Federated Learning: The ongoing conditions will push organizations to speed up regulations on privacy and security in upcoming times. This will influence the designing of AI/ML models comprehensively. This drives companies to invest more in data management and to develop a more holistic solution by way of leveraging federated learning. This would inspire the development of more efficient AI tools.

  • Greater Transparency for the AI Models: AI transparency is about the capability to check the way AI models work or where they are used, or who is making decisions around them. In 2021, enterprises will establish AI governance in their organizations by more trusted, robust AI models implementing their machine learning operations. This will facilitate tracking the functioning of AI apps and checking if there are some privacy violations. We can expect that 2021 will introduce more robust cybersecurity solutions to identify potential flaws in the system.

The above predictions about the trends for 2021 help us concluding that more robust and efficient AI applications and tools would be seen this year and made the year the era of Artificial Intelligence. This also raised the hope for the aspirants who have already enrolled in or enrol for artificial intelligence certification. Businesses are leveraging opportunities, and to respond to them, artificial intelligence learning institutes have leveraged modes for online learning of the technology. Available online professional courses on artificial intelligence may be the key to draw advantage of artificial intelligence for IT aspirants.

Tags:

Leave a Reply

Your email address will not be published. Required fields are marked *