5 Industries Machine Learning is Disrupting

Machine Learning aims to make machines self-reliant and work without human intervention. It is the core concept based on which automation is built. ML algorithms enable machines to learn from the process they do so that over time they can handle complex tasks without any human intervention. Right now, we are at the start of this new technological era. Already, ML applications are being used across industries. But researchers and scientists in this field say that the unexplored areas are even greater than what we can imagine. This means that there is such a wide scope for growth and development in this domain. However, with all technological improvements, there is also a disruption happening somewhere. While ML technology has aided automation, it has also led to many people losing their jobs as machines are replacing them. In this blog, we will look into the five industries that Machine Learning is disrupting.

Artificial Intelligence Vs Machine Learning

Before we explore the ways in which Machine Learning is changing various sectors, let’s understand the basic differences between machine learning and artificial intelligence. Artificial intelligence or AI is a computer program that performs tasks such as voice recognition, facial recognition, translation, decision making and so forth. Machine Learning, on the other hand, is a type of artificial intelligence that helps computer systems learn and evolve as they work.

Five Industries that ML is Disrupting


Over the last few years, we’ve been seeing a lot of news about robots taking classes. One group people talk about how technology such as interactive smartboards, laptop computers, multimedia presentations and teaching robots help personalise educational delivery. There’s another group of educators who believe that teaching is more than delivering the facts. Students also learn communication, behaviour, and other soft skills from a teacher. We still have eons to go before robots can completely model human behaviour to teach these soft skills.


Machine Learning applications are used in diagnosis, prescription and sometimes even treatment. Biometric sensors accurately capture data and cross-check it with millions of bits of data to give the right match and information. While there are chances of errors in human diagnostics, the percentage of error is almost nil in case of machine diagnosis. Machines are also being used to do delicate procedures that need near-perfection and precise actions. In the healthcare industry, machines are gradually replacing many healthcare professionals.


Self-driving cars are being developed by leading companies such as Google and Tesla. These cars are built with thousands of sensors that detect the surrounding conditions to drive without manual intervention. Driverless cars can eliminate the risks involved in drunk driving and rash driving. But the downside is that they could lead to layoffs of thousands of drivers who work in the transportation sector.

Financial Services

Financial institutions are using recommendation engines, predictive analysis, voice recognition, and other ML technologies to deliver a seamless customer experience. Robo advisors help customers by giving relevant information, logically assessing risks, and offering solutions. These robots can access the customer’s financial history and spends to make relevant suggestions and saving plans. Soon, these robots may replace customer service executives in financial institutes.

Business and Marketing

ML-based algorithms can precisely study the market, trends, and other parameters to create accurate marketing and sales strategies. The learning algorithms examine the past activities, purchases, and preferences to make suggestions of what a customer may like to buy or watch. Intelligent chatbots are ML applications that are gradually taking over the jobs of customer relationship executives.

Machine Learning Courses & Certifications for 2020

Corpnce is a leading training institute that offers Machine Learning courses in Bangalore for professionals as well as graduates. Our Machine Learning training in Bangalore is project-oriented and focuses on building the domain expertise using a practical approach. The training is led by experts with ample industry experience. The curriculum of the course is created by experts and updated regularly based on the developments in the field. We at Corpnce provide placement assistance for meritorious students.

How does Machine Learning helps build a good career? 

A study by Gartner found that AI businesses will reach up to $3.9 trillion in 2022. From healthcare and customer relationship to education and marketing, Machine Learning is used in various industries. There are ample career options in the field of Machine Learning. The various job opportunities available are:

  • ML Software engineer
  • ML Software developer
  • Human-centric machine learning developer
  • Data scientist
  • Computational linguist
  • Machine Learning engineer
  • NLP scientist

There are immense opportunities for career growth and development in this emerging field. A Machine Learning course will equip you with the knowledge, skills, and technical expertise in this domain. Take the first step towards building your career in this field of Machine Learning by enrolling in a Machine Learning course in Bangalore right away.