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Difference between RPA, AI, Machine Learning and Deep Learning

Difference between RPA, AI, Machine Learning and Deep Learning July 9, 2018
artificial intelligence

Why Robotic Process Automation?

Automation is revolutionizing how the world works. It is touching every aspect of our lives from the workplace to our homes. Day by day we are witnessing an increase in the number of industries that get affected by automation. Businesses use automation software to become much faster and productive by doing repetitive tasks that were otherwise done manually. Taking over of such tasks by automation software which are deemed to be repetitive and boring in nature by the employees reduces that chances of human error and takes off the burden from them so that they can channel their abilities towards tasks that require more creativity and critical thinking.

Artificial Intelligence (AI), Machine Learning and Deep Learning, all aim to make businesses run smooth and increase productivity. But often businesses stumble upon to make a decision on what to choose. Read on to know more about these automation softwares. Be mindful to choose the right software that helps you achieve your business goals.

Artificial Intelligence (AI)

Artificial Intelligence (AI) has the ability to transform industries and aid in business development. Many companies already make use of AI to solve problems pertaining to their business and to bring in efficiency. AI can effectively replace human labor that is time-consuming and repetitive. Such mundane tasks carried out by humans will decrease productivity over time. AI is constantly changing how companies operate their businesses. By integrating AI into companies, it can detect potential problems and propose alternative solutions to it by analyzing incidents in real time. If your business is in need of greater security, more speed, and improved efficiency, AI is the way to go. AI has already become an integral part of manufacturing, financial and customer service industries and it is making its way to every other industry where the application of automation can bring in far greater results. Even if you are an entrepreneur or small business, the integration of AI to sales, marketing and HR can create successful operations and bring in tremendous results.

Machine Learning (ML)

Machine Learning (ML), the subset of AI, gives machines the ability to solve problems without the need for explicit programming. Initially, the applications of ML were very limited. It was applied to only certain fields like computer vision and pattern recognition. But today, the applications of ML are countless. They have touched upon every aspect of our lives. Despite its elaborate applications, many businesses are confused how to apply ML to find solutions to the problems faced by their business. ML works in a number of scenarios like face detection; filtering of spam messages in your email; speech recognition; music, movie or event product recommendations; fraud detection and so on. So now comes the question, is ML right for your business? If you are a business who wants to suggest product recommendation to your existing customers, based on their purchase history, then ML is the right approach. ML is great at predicting the output from the input which is done by building a relationship between input and output by applying statistical properties of data. These predictions can help companies unveil new insights and fuel business automation.

Deep Learning

Deep Learning is similar to Machine Learning in the sense that it is a more advanced subset of that larger field. Deep learning is used as a broader term to for a set of neutral networks, which may consist of three or more layers. Deep learning is highly capable of recognizing a pattern and classify them. Deep learning is suitable for your business in a number of ways and the most important being it saves cost and time. Since neutral networks are trainable, you can train them to do a particular task concerning your business operations. These neutral nets will adapt and improve during the course of time similar to how a human employee learns new things over time. Your company can save a lot of money through employing Deep learning by eliminating the need to hire extra employees or outsource your project. Apart from this these automation software works much faster than your average employee thus saving you time. Also when Deep learning is used in your business operations it will bring quality as well as accurate results.

Combining ML with RPA for better results​​​​

Robotic Process Automation (RPA) helps in automating business workflows. By incorporating Machine Learning models into RPA workflows it can perform machine perception tasks such as image recognition. These kinds of pattern recognition would only less time for the human brain to perform. While RPA comes with many limitations, combining ML with RPA could help in overcoming the limitations of Robotic Process Automation for an RPA developer. As said earlier RPA helps in automating business workflows but if any decision making needs to be backed by the application of knowledge, this is where the limitation of RPA kicks in, as such tasks cannot be automated. In these scenarios, ML can be of great help. ML can be applied to an array of problems which includes analyzing large historical data and then use the information for decision making and prediction.

RPA developers are constantly striving to bring intelligent automation solutions and by integrating Machine Learning with Robotic Process Automation the result is the creation of powerful automation solutions and also binding ML with RPA results in increased efficiency and savings.

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