Why Learn AI: Complete Beginner Guide to Study Artificial Intelligence

Artificial Intelligence (AI) is the coolest technology we have our hands on right now. Before stating the reasons as to why one should learn AI, let's take a look at these fascinating facts:

Why Should You Learn Artificial Intelligence?

Let us take a look at the reasons behind why learn AI:

1. Bright Career

The development of AI is possible in two categories - programming and engineering. Proper coordination between these two leads to developing AI-enabled products like speech recognition technologies.

AI is at its growth stage right now. Pursuing a career in AI at this time not only assures better than decent salary, but also promising opportunities which will help you grow.

The average package of an AI professional ranges between $100,000 to $150,000 in USA whereas 14-15 lacs in India. You can work as a Machine Learning Engineer, Data Scientist, Business Intelligence Developer, Research Engineer, etc. once you have studied AI.

Amazon, Microsoft, Google, Nokia are just a few companies that are recruiting AI talent. AI jobs account for an average of 15-20% of jobs in most companies. Although AI will replace 40% of jobs, it is also creating 133 million new roles in all sectors.

2. AI is Versatile

AI is not just limited to computer and space-related industries, but it also plays a significant role in industries directly related to common people, like healthcare, automobile, banking, and finance sectors.

Example: PathAI is a technology that assists pathologists in reducing error rates in cancer diagnosis. Someday, a robot may diagnose humans or a machine will detect our ailment. AI is working exactly on that.

3. Skill of the Century

It is undeniably true that someday, AI will replace many jobs, as well as create many different job opportunities in related fields. In order to be in the loop, everyone must have at least some information regarding AI.

As AI is entirely going to change the face of humanity, believe me, you would want to be a part of this breakthrough transformation. Many people regard AI as the skill of the century, as there is no boundary to its ever-emerging applications.

4. Ingests Huge Amounts of Data

Humans generate more than 2.5 quintillion bytes of data every day. A quintillion is 10^18 (10 raised to the power 18). Surprisingly, we have machines and AI-enabled systems that are able to handle this big data.

The information regarding the ADHAR Cards of Indian citizens is an example of big data. The posts we like, view, share, or comment on Facebook are also examples of big data. AI has enabled programs to analyze trends in these data and act accordingly.

5. Improved Disaster Management

When a natural disaster strikes, people turn to social media asking for help. These platforms have AI-enabled programs that serve as carriers in spreading news about disasters.

During recent flooding in Maharashtra, Kerala, Odisha, etc., people shared videos on platforms asking for help. The NDRF (National Disaster Response Force) and CDRF (Community Disaster Resilience Fund) were deployed to rescue people. NDRF is a specialized force created under the Disaster Management Act of India, 2005.

CDRF is a network of about 170 NGOs in India, demonstrating that people in disaster-prone areas can identify risks, plan, and provide funds themselves apart from government relief.

6. Benefit of the Society

AI is not only used in healthcare and disaster management but in farming as well. Farmlogs are software that simplify farmers' work by providing information about weather, fields, and soil. It also helps track irregular plant growth, achieving better profits.

Governments are implementing AI in smart city applications, improving environmental planning, crime prevention, and better resource management.

7. Improved User Experience

AI adds intelligence to products we use regularly. A combination of AI technologies like chatbots, automation, and virtual assistants like Google Assistant and Siri (launched in 2011 for iPhone 4S) help improve user experience by adding multiple useful features.