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Most Popular AI use-cases in 2020 that you must look out for

Over the past few years, we have observed a drastic growth of Artificial Intelligence in various sectors. AI-based systems are implemented to help humans in their work resulting in increased efficiency.

As the future unfolds, AI will change the way we live and work. Here are the most popular AI use-cases that you must look out for in the year 2020.

  • Healthcare sector

Artificial Intelligence is surely making a significant impact on the healthcare sector. It will enhance the quality of treatment for patients. For instance, the medical images captured through MRI, CT Scans, and X – Rays can be diagnosed with the help of AI. It will help save the time of doctors while providing accurate results at the same time. Surgeries can be performed more effectively and precisely which will reduce the death rate due to mistakes during surgeries.

Not only this, using customer data and even business-centered data management is vital for streamlined operation in the healthcare sector. Even for the most basic of software like medical billing software, the developers are willing to use sophisticated and cutting-edge technologies so that they can leverage the full potential of AI.

We are going to enter the Quantum Computing era soon with the Quantum Supremacy announcement from Google. Quantum Computing holds amazing surprises for the healthcare sector ranging from operations and administration to security.

  • Robotic Process Automation (RPA)

With the growing trend of digital work, more and more businesses are switching to Robotic Process Automation (RPA). In simple terms, RPA is a software-driven automation tool that asks for pre-defined work rules as input and a virtual robot will perform the assigned work tasks.

Certain time-consuming tasks such as keying data from one system to another could be automated, or checking a form for completeness, etc. This will allow the workforce to focus on more complicated jobs that need human intelligence.

  • Natural Language Processing (NLP)

NLP uses machine learning models to teach a system how to interpret what is said in written and spoken language. NLP is becoming a trending field of Artificial Intelligence in overall economic value.

Several applications of NLP include sentiment analysis, chatbots, machine translation, automation summarization, etc. YouTube is a common example that uses NLP in many applications across the platform. Other examples of

  • Computer vision

Computer Vision (CV) is a branch of AI that allows the systems to interpret and label images. CV is currently being used in convenience stores, driverless car testing, analysing the health of crops and livestock, etc.

Tech giants such as Google, Microsoft, Amazon, and Facebook are investing huge amount of money in CV research and product development. With more research and development, Computer Vision will provide more use-cases to world.

  • Advances in transportation and logistics

In the coming years, AI in transportation is believed to deliver a huge amount in cost savings across the automotive OEM supply chain. Self-navigating robots make use of the AI technology to move pallets without any requirement of human intervention.

On the roads, transportation businesses are using AI to trace and track trucks to make sure they provide on-time deliveries over the safest and fastest routes.

In the year 2020, we are to see more advancements in transportation automation. The changes will be from software-controlled programs to more reliable sensors to lighter-weight light detection devices.

Bottom line

These are just a few of the many use-cases that AI will provide in the coming years. In the year 2020, we will observe significant development in the AI and its associated sectors due to the new technology advancements.

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