Top 7 Innovations in AI

Innovation is always happening, and technologies like AI are changing the world in big ways.

COVID-19 is the Consumer and business trends have changed because of the pandemic, but the world was slowly beginning to use AI even before the pandemic. No matter if it’s a strategy for automating tasks or a need for privacy, AI has become a leader.

1. Giving RPA more brains

RPA is being used by a lot of companies to improve their workflows. RPA can take care of and automate tasks that are done often. Adding AI to RPA, on the other hand, can take automation and handling of tasks to the next level. For example, RPA is often used in the insurance industry. By adding AI to common RPA processes in insurance, the process could use image recognition to connectivity and process claims with little human intervention. When these two technologies work together, they might be able to solve a lot of real-world problems. 

2. Automation of smart process (IPA)

Intelligent Process Automation (IPA) is another way that AI is used to automate specific tasks in applications. With IPA, companies can use unstructured content to automate tasks.

This technology can also work well with other technologies, such as Cognitive Automation, Machine Learning, Robotic Process Automation (RPA), and Computer Vision, to get good results. IPA works with businesses in retail, banking, finance, and other fields. Investment bankers use IPA to find mistakes in research data that are almost impossible for humans to find. In 2021, more industries will be looking into how to use IPA.

3. Using AI to Improve Cybersecurity and Data Privacy

The problems of data risk as well as phishing will not go away. This year, AI will be used more to provide security and help stop bad things from happening.

With better cybersecurity, AI will be able to make fake digital transactions and events by looking for patterns that indicate criminal behavior. AI will be used by more organizations to handle their information security tasks.

4. Internet of Things and AI (AIoT)

When we combine the potential of the Internet of Things (IoT) with the power of artificial intelligence, we get a powerful business solution. When these two technologies work together, they will make big changes in the automation industry.

Smart home devices like Google Nest, Smart Plugs, Smart locks, etc. will be able to predict and meet human needs in the future. At the moment, the devices only work when told to, but when paired with AI technology, they can figure out what people need and begin appliances and processes without any help from them. AIoT-powered tools will help more homes become smart by making them more efficient and safe.

5. Apprentice Machine Learning

Machine Learning is something that a lot of industries and organizations want to use (ML). With Automated Machine Learning, people who are not experts in ML algorithms will be able to understand and use them.

In the future, tools like Google Cloud AutoML will be used more and more. With these tools, businesses can add customization without having to learn the complicated process of how ML is built. Cloud service providers like Amazon Web Services (AWS) and Azure, which offer ML templates that are easy to use, will be used by businesses.

6. Changes in the way computers see

Facial recognition is already used around the world, whether on social media sites or cell phones, but it’s not as common in the workplace. But because of COVID-19, many companies have told their workers that they have to wear masks and other PPE at work. Computer Vision can check to see if these safety rules are being followed to make sure everyone is safe at work.

This method helps businesses keep track of their workers, find them, etc. Computer Vision will be used more in many fields, such as healthcare, aviation, retail, and finance.

7. Chatbots with AI

In the past year, many businesses and industries have started using chatbots that are powered by AI. AI chatbots can help automate customer service in a better way. These AI chatbots that can have conversations will continue to learn and get better at understanding and talking to customers.

ML and Natural Language Processing (NLP) help these chatbots understand natural language commands. These chatbots let people talk to them in a natural way by imitating human conversation.

Read more: Advantages and Disadvantages of IoT

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