How to Build an AI Career in 2021/ai-insights/how-to-build-an-ai-career-in-2021

How to Build an AI Career in 2021

July 01, 2021

How to Build an AI Career in 2021

By 2023, over 20 million AI jobs will be available worldwide, says, Analytics Insight report. Different roles played by AI amid the pandemic have only accelerated organizations to invest more in the technology.

It is also important to highlight how both AI and machine learning have become the buzzword across the tech industry. According to the 2020 Emerging Jobs Report by LinkedIn, artificial intelligence specialists ranked first indicating a hiring growth of nearly 74 percent annually in the past four years. More so, the hiring trend in this field is likely to increase in the foreseeable future.

AI and machine learning

Artificial intelligence was coined in the 1950s by John McCarthy, and begun as a simple theory of human intelligence to be demonstrated by machines.

In simple term, AI can be defined as a sub-field of computer science which teaches a computer to learn and perform tasks as a normal human being would do such as behaving intelligently. Specific examples include speech recognition, translation between two languages, visual perception, and decision-making. Whereas machine learning is a subset of AI which further gives the machines the ability to learn without the intervention of a third party.

With the help of AI and other related technologies, we can easily make machines more intelligent and smarter.

Getting started in AI

Whether we accept the technology or not, AI is already moving into industries. Tech giants such as Apple, Amazon, Facebook, Google, Intel, Microsoft, OpenAI, and IBM have already invested heavily in AI.

Why delay the wait? If you’re seeking to leverage skills in AI, now is the perfect time to get started.

Below are three learning paths through which you can easily start your career in AI.

  1. Technologists new to the field: You need to first get ahold of subjects like mathematics, statistics, and start taking up certification programs and courses in AI and machine learning. Besides this, those looking to move into the AI career need to have basic programming skills and knowledge of algorithms. Ensure whatever training or courses you enroll yourself into must be hands-on.
  2. Programmers or developers: Candidates having experience in programming can directly start learning algorithms and get into coding.
  3. Experience tech professionals working in data science field: Since most data scientist does not work much with coding, they need to first gain extensive programming skills to get into AI. The only way for a specialist to bridge the gap is by learning how to prepare data, become an expert in building models and data visualization, gain business acumen, and communication skills.

Job opportunities in AI and machine learning are abundant as long as you’re qualified. Some of the job roles include – AI engineer, Data Mining and Analysis, Machine Learning Researchers, Data Scientists, Machine Learning Engineers, and Business Intelligence (BI) Developer.

The future of AI is going to experience an astronomical rise as growth in emerging technologies skyrocket:

  • Blockchain
  • Internet of Things (IoT)
  • Bots
  • Cloud Computing
  • Automation

While most people are worried about AI replacing humans. The fact is, it will not. For every mundane or repetitive task, the technology is here to augment helping humans become more efficient. Artificial intelligence is all about teaching machines to become smarter by helping them make better decisions using data insights.

Some of the industries that have already started facing disruption due to AI technologies are – telecom and communication service provider, banking and insurance, oil and gas, retail and consumer product goods, media and entertainment, healthcare and life sciences, manufacturing and high-tech, travel, hospitality and transportation, and public sector.

The key to embrace AI depends on how efficient we are in adopting and accepting these changes. Therefore, such changes will mark the success of our businesses.