Data analytics and AI are being adopted extensively by businesses today. Students are curious to know what it is, what it does, how it works, and how to make it big in the industry? Fret not; let’s start by understanding in a layman’s manner what Data Analytics and AI are and the different career opportunities it entails.

What is Data Analytics & AI?

Data Analytics is the process of analyzing data and using it to make predictions or decisions. This can be done through a combination of methods that include statistics, and business domain knowledge. It is used in a variety of fields, such as Marketing, Finance, Healthcare, and Manufacturing. It helps to improve decision-making, target customers more effectively, and automate tasks.

Artificial intelligence (AI) uses computer programs to mimic human intelligence. This can help solve problems, make decisions, and carry out tasks more efficiently.

What are the different career options available in Data Analytics & AI?

There are several different job profiles and career options available in Data Analytics & AI. Some of the most popular options include data analysts, AI engineers, and Business Analysts.

Data analysts are responsible for collecting, cleaning, and analyzing data. They use their findings to help businesses make better decisions.

Business analysts evaluate past and current business data to help the management and leadership in making informed decisions about where improvements can be made within an organization to drive growth.

AI engineers are responsible for developing and deploying AI solutions. They use their skills in machine learning, computer science, and software engineering to build systems that can learn and evolve.

Some other career options also include:

• Data architect
• Robotics engineer
• Machine learning engineer
• Computer vision engineer
• Cloud engineer
• Full-stack engineer
• AI architect
• Neural network developer

Various industries where Data Analytics & AI are in demand

Everyone has heard of Big Data by now. There is a lot to take in and consider, but we can say that there is still much room for exploration and innovation when it comes to what we do with all the information that’s rapidly accumulating on the cloud.

There is no doubt that data analytics and AI are in high demand across a wide range of industries. Businesses of all types are looking for ways to harness the power of these technologies to improve their operations and drive growth.

Healthcare is one industry that is constantly evolving and enhancing the quality of healthcare services provided with the power of data analytics and AI. The vast amounts of data generated by hospitals, clinics, and other healthcare providers can be used to identify trends and patterns that can help improve patient care and make the healthcare industry more efficient and user-friendly.

Take, for example, the Madurai-based Aravind Eye Hospital which has successfully collaborated with Google’s AI technology to screen diabetic retinopathy and detect the early onset of blindness. The integration of Data Analytics and AI in the healthcare industry is second to none, helping patients with an easy diagnosis of complex diseases.

The retail industry is another area where data analytics and AI can be used to a great extent. By analyzing customer data, retailers can better understand shoppers’ preferences and needs and develop targeted marketing and promotional campaigns. AI can also be used to create more personalized shopping experiences, such as recommending products based on past purchase history.

A simple example of this can be how Amazon can use the data related to your shopping history to predict items that you might be interested in and advertise the same across platforms to drive an inclination. Data Analytics and AI are also proving to be instrumental in micro-targeting advertising and marketing campaigns for consumers.

Other industries where data analytics and AI can be useful:

• Finance
• Manufacturing
• E-commerce
• Energy
• Education
• Technology
• Supply Chain operations
• Research

These are just a few examples of the many industries where data analytics and AI are making a big impact. As businesses continue to collect more and more data, these technologies will only become more powerful in helping them to make sense of it all and drive their businesses forward.

How can students map their career path in the field of Data Analytics & AI?

Students can map their career path in the field of Data Analytics & AI by understanding the various roles that exist within the industry and the skills required for each role. By understanding those skills, students can identify the roles they are interested in and the skills they need to

develop. Additionally, students can gain insights into the industry by speaking with professionals in the field and reading industry-related news and articles. By understanding the landscape of the sector, students can make informed decisions about their career path and develop a plan to achieve their goals and make it big in the industry.

With the concept of Big Data being a buzzword, there are numerous career opportunities to explore in the field of Data Analytics and AI. The industry is advancing faster than ever before. The possibilities are endless, and there is a considerable demand for qualified candidates. It’s the perfect time to enter this big world of Big Data, learn the intricacies behind their applications and pursue your career goals relentlessly!