AI, ML are future

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AI, ML are future

Wednesday, 13 October 2021 | DR KK SHARMA

AI, ML are future

Time to upgrade with new techno-friendly environment as it opens doors to lucrative options in tech world, says DR KK SHARMA

High advanced technologies are acceptable and demanding in every industry, upgrading oneself with the new techno-friendly environment would be appreciable. It is opening a new path for technology career seekers in the Artificial Intelligence and Machine Learning perspective corner.

What is AI and ML

AI stands for Artificial Intelligence which is the development of a computer system that is capable of performing human tasks, more about processing and super power thinking. The demand for AI increases as it enhances the work credibility for humans, it is not intended for replacing humans which is vulnerable for business assets. The ML is an application of AI that facilitates the computer system to automatically learn and improve from experience, responsible for the development of computer programmes accessing the data and using it for learning themselves. In other words, machine learning is a form of AI which is an upgraded form of data science that is more effective than traditional AI.

The doubts arise between AI and ML as they both are interconnected, but the specialisation is different for both specified terms. ML is the form of AI but not all AI comprises machine learning. The career perspective and jobs in both the fields are enormous and greater to make higher income with opportunities for increasing experience and knowledge.

Every corner of business is trying to use AI in their process and products, opening a new path of opportunities for anyone. Therefore learning the new combination of AI and ML can lead you to great career aspects. A few ourses and certifications in AI:

  • Machine Learning
  • Deep Learning Specialisation
  • IBM AI Engineering
  • Learn with Google AI
  • AI: Reinforcement Learning in Python
  • AI For Everyone by Andrew Ng
  • AI Programming with Python Nanodegree

Prospects

Software engineering: The computer science field uses Artificial Intelligence tools to develop programmes which are a core part of software engineers. They are responsible for designing and developing the digital programmes or systems, designing the products through the technical function of machine learning for performing a different task. There are many software developers every year joining some new company if a person specified in AI will be eligible for a good salary package.

AI research: This job is more about researching and discovering new ways towards the advancement of technology like someone developing a faster machine. The roles and responsibilities depend on the specialisation in their area of interest as some may be looking for advancing the data system while some might be working for the development of new software. Whatever research they are responsible for, every individual has the role to implement changes in existing tools and focus on advancing the technology.

ML engineer: It involves the design and development of ML systems and applications through algorithms and tools. The skills required for this job profession are strong foundational knowledge of Mathematics, Statistics, and other programming languages. The various ML experiments are successfully conducted through programming languages like Java, C++, Python and Scala.

Natural language processing: The most trending applications in the market where several applications require natural language processing, the responsibility of the experts is the role of understanding the language and technology to make a system successfully communicate with a human in their language. The virtual assistant present in the smartphone, chatbots are the example, this is the replication of human speech in a variety of forms. This greater field and newly grown area gives opportunity to earn a good salary as the demand is increasing in the market.

Data analytics: Data analyst is given the name as the person should be capable of understanding the data as it is the main core of AI and machine learning.  In other words, if someone knows how to play with data i.e manage, analyzing will have greater opportunities in future. The main role of data analysts comprise managing, analyzing, and storing the data as well as reporting to other people.

The writer is Associate Professor, Sanskriti University

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