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Future Scope of AI in Various Industries

by:    2021-07-14    Source:  IntelliPaat

AI_ML by N/A is licensed under Unsplash

AI is of one of the fast-growing sectors in the global enterprise landscape. The scope of Artificial Intelligence has expanded in many sectors, such as Healthcare, Automotive, Transport, Banking & Finance, and Security. The scope of AI is pretty significant as the final aim is to create an intelligent automation software program that can tackle different problems and provide goal-oriented solutions efficiently.

RPA platform coupled with AI & ML cognitive technology is here to help you overcome challenges. RPA is built with powerful buddies that are governed by business logic and structured inputs, aimed at automating business processes. The ease of adopting RPA allows an enterprise to focus on immediate benefits.

The goal of creating AI is to create computer programs that can learn, solve problems, and think logically. A typical AI analyses its environment and takes actions that maximize its chance of success. The research goal of Artificial intelligence is to create technology that allows computers and machines to function in an intelligent manner. Scope of Artificial Intelligence.

  • Scope of Artificial Intelligence in Banking:

    Banking is not new to the trends of Artificial Intelligence and Machine Learning technologies. The sector has rapidly adopted technology to stay up to date with the current market trends. It uses this technology to keep a record of customer data, which was earlier a monotonous manual task. With the rapid increase in the amount of data that is being generated and stored in the banking sector, today, Artificial Intelligence and ML allow professionals to do the same accurately and efficiently.

  • Scope of Artificial Intelligence in Healthcare and Medicine:

    A use case of AI in this sector is the Collaborative Cancer Cloud developed by Intel and the Knight Career Institute. The cloud collects the past data of cancer patients and other patients with a similar disease so that they can help doctors diagnose cancer at an early stage based on the symptoms they show and comparing them to the past available data. The best treatment for this fatal disease is to prevent it from reaching higher stages.

Technologies like ML and NLP are all part of the AI landscape. Each one is evolving along its own path and, when applied in combination with data, analytics, and automation, can help businesses achieve their goals, be it improving customer service or optimizing the supply chain.

Here comes IntelliBuddies® - It leverages both AI and ML technology extensively in driving the automation. It comes with bBuddies that act as robots to perform all the tasks assigned to them. This platform can be orchestrated on-premise or on any other cloud configuration which is highly flexible and scalable. It is built with a robust, powerful & scalable RPA technology – broad RPA technology ecosystem, including access to best-in-class AI, integrated security and role-based access, low-code approach - allowing business users to build and effortlessly execute automation by themselves.

Source: IntelliPaat