Artificial intelligence has changed the way we live. Many aspects of everyday life have changed immeasurably over the last 20 years with the proliferation of AI support systems. At Great Learning, we believe that everyone needs to have at least a basic knowledge of artificial intelligence – and children as well – to succeed in a highly competitive world. Consider, for example, a couple of case studies on funding and human resources that highlight the effects of change on artificial intelligence.

Think back to what banking looked like 20 years ago. If someone wants to get a loan, you typically fill out a set of forms and then meet with a friendly bank manager who will evaluate your application based on its merits and decide if you can get a loan. It no longer works that way – in today’s world; you can apply for a loan on your phone and get a decision in seconds. Every part of the process – always checking that your form has been filled out correctly, deciding if you can get a loan, and recommending the right product for you – everything works with AI.

Similarly, has anyone you know recently applied for the required job? Chances are when you do submit your resume through an online job portal, it is not the person who reads your application and decides if you would be suitable. Most likely, the artificial intelligence app will structure your resume based on relevant keywords and list a handful of candidates who will be taken to the next step in the recruitment process.

We firmly believe that everyone should understand the basics of artificial intelligence if they want to understand the world around them. But why children? 20 years ago, it would have been almost impossible to teach children how to harness the power of artificial intelligence. This is because building any artificial intelligence-based application requires expert-level programming skills and access to computational resources and data. These resources were only available to graduate students and working professionals in large companies or research organizations. In fact, 80% of the task was to build infrastructure, such as data collection, code writing for distributed and large-scale computing systems, etc., rather than focusing on leveraging machines to solve real-world problems.

However, the modern world is very different. Access to data has democratized and computing has become very cheap and cloud-based. The focus has thus shifted from building artificial intelligence infrastructure to leveraging the growing algorithms and models being developed in the cloud service. For example, when I controlled a customer survey product at Qualtrics, we had built a sophisticated NLP (Natural Language Processing) algorithm that analyzed thousands of words of customer feedback to our customers. It had taken over our doctoral army. graduates in computer science and statistics with more than 3 years to build. Today, however, one can call a simple API from Google Cloud NLP or AWS and do the same for just a few cents per API call. And because Google Cloud and AWS NLP train their models on billions of pieces of text on the Internet every day, their algorithms are much better than what my team could have built. So the focus has shifted from coding learning to learning how to use these “best of breed” AI systems and algorithms in the cloud to do what’s really important – building applications and solving problems.

Let’s take a few examples of applications we see our teenage students build as little as possible:

  • The app predicts when airline tickets are the cheapest throughout the year
  • The app identifies someone’s emotional state by examining pictures of his or her face
  • Application for detecting tumors from MRI images

20 years ago, the resources and know-how to create such applications would have been available only to graduate students and industry R&D professionals. But in today’s world, we see young people building and implementing these applications in a matter of days. In fact – let’s take an inspiring example of Tanmay Bakshi, who is 14 years old Artificial intelligence expert at IBM, solve real world problems such as helping a quardiplegic girl communicate – this person cannot speak or make gestures. Tanmay’s job is less programming (he says so himself) and more harnessing the power of in-depth learning techniques.

So we hope you are convinced that the time to learn artificial intelligence is now. When you understand the use of artificial intelligence tools, only your imagination will limit your chances of building. Whether you want to build social benefits or start your own commercial business, artificial intelligence is the answer. In addition, universities are beginning to notice. A portfolio of advanced artificial intelligence support projects helps students in the competitive college selection process.

However, don’t take your word for it. Inform your child in one of our free 60-minute demonstration sessions where they will perform a live exercise in a small batch with one of our esteemed AI mentors. Click registration link Learn more. We look forward to meeting you there!



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