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Top 10 AI Trends for 2021

Top 10 AI Trends for 2021

Top 10 AI Trends for 2021

Artificial Intelligence (AI) is one of the most talked-about technological developments over the past couple of years. AI offers many sure-shot benefits and it has been involved in deriving great innovations across industries. The application of AI-powered solutions is sure to increase significantly in 2021 and beyond. On that note, here are the top 10 AI trends that businesses should keep an eye on moving forward to the next decade.

1. Natural Language Processing (NLP)

The rising popularity of Natural Language Processing (NLP) can be attributed to the significant use of voice search and applications like Amazon, Alexa and Google Home. NLP solutions employ Machine Learning models to understand the queries of users and deliver the most appropriate answers for those. It works with both written and spoken material that describes a process and can be used for enhancing user experience significantly.

2. Robotic Process Automation (RPA)

RPA is considered one of the most disruptive technologies for businesses, which allows companies to automate their routine rule-based tasks and save on the associated costs. RPA tools can perform high-volume tasks without running into errors or needing any manual input. This can help to free manual resources and use that for other productive functions of the businesses.

3. AI in Cybersecurity

Ensuring robust cybersecurity will be one of the most crucial aspects of business transactions in 2021 and beyond. AI-powered cybersecurity solutions can track user behaviors and information exchange patterns to foresee any irregularities and thwart data breaches. Using the advanced prediction algorithms, the cybersecurity software can identify potential risks, loopholes in the security, and find the right solutions to enhance enterprise cybersecurity measures.

4. AI in Healthcare

The healthcare industry is greatly benefiting from AI and automation solutions. From telehealth and online consultations to diagnosis of complex health issues, AI solutions and integrated devices are helping healthcare providers to ensure better delivery of care services to patients. Healthcare organizations are also using data analysis and predictive analytics to gain better insights on healthcare trends and recommend preventive measures to stop the spread of specific diseases.

5. Business Process Monitoring

AI and automation tools are helping to redefine traditional business processes and operational models in many ways. With AI-enabled project management solutions, organizations can track the status of the project in real-time. Likewise, they can also stay on top of employee performance and ensure better productivity and efficiency across different departments. Hyper-automation solutions can even help to understand business needs deeply and develop the right measures to meet them.

6. Reinforcement Learning (RL)

Reinforced Learning (RL) is expected to play a great role in transforming the customer experience in the next decade. It utilizes deep learning technologies to make the most of the collected data based on the specific task. This can help chatbots to respond to user queries based on sequential conditions and lead the customers to the relevant pages to take the desired action.

7. AI + Internet of Things

The Internet of Things (IoT) helps to manage interconnected devices and applications and ensure that they function as intended. Coupling IoT solutions with AI can increase their potential massively to enhance user experience. For instance, IoT solutions can use the real-time data collected by AI tools to monitor the network and device performance in smart homes and ensure minimal downtime.

8. Facial Recognition

AI-powered facial recognition technology is being used in many applications, such as in unlocking smartphones to providing access to secure areas in a high-security building. Its usage is expected to grow rapidly over the next few years as more and more businesses are looking to digitalizing their operations. For instance, AI-enabled facial recognition can be used for performing digital transactions to ensure high-end security.

9. Edge Computing

Edge computing allows businesses to transform their day-to-day data into actionable insights. It offers servers and data storage solutions for devices and applications to ensure a seamless operation while facilitating real-time data processing that is far more effective than cloud computing solutions. As edge computing can also be carried on nodes, it can even enhance the capabilities of cloud servers.

10. Quantum AI

Quantum AI is expected to rise with Qubits as many enterprises are looking to adopt the technology in supercomputers. Quantum computers can resolve any potential problem much faster than standard computers by using quantum bits. This can come in handy to process and analyze large sets of data in real-time and predict unique patterns quickly. Quantum AI is also expected to derive major breakthroughs in various industries like healthcare and finance in the next decade.

Conclusion

These are the top 10 AI trends, which will have a significant impact on almost every industry in 2021 and upcoming years. Many companies have already started adopting AI-powered solutions to transform their business models and serve their customers better.

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