Applying AI in Real Life

AI Jan 07, 2022

Artificial intelligence has been around for a long time, ever since people began to imagine machines and how they may be utilized to aid civilization's growth. For a long time, it was confined to laboratories in its theoretical form, but with the advancement of faster computing power, memory, mathematical models, and other factors, it has transformed into a major contributor.

Now let us fast forward to the present. Artificial Intelligence and Data Analytics are co-related. Both are dependent on the data that the user has at their disposal. And these concepts are making a large impact on the world of technology now. However, this advancement in technology may not be as much visible to you or me; as it is in the United States, certain parts of Europe, Middle East, and South East Asia. There could be many reasons for this, but one of the primary ones is the lack of knowledge or not enough expertise in the area.

Yes, there may be several online courses and/or institutes sharing knowledge in these domains. However, that is not enough. This is like learning the basic number or alphabets in your thirties! It is recommended to embrace the topic of AI right from your school age! Technology is advancing very fast and the world is evolving even faster. We have almost reached the age of automated work and machines taking care of lower-end jobs. Yet, not enough expertise is there to match international standards. There of course are multi-talented brains in India; however not much get the necessary recognition.

The best remedy for this is SchoolForAI. SchoolforAI is India’s first Data Science & AI focused hybrid platform that includes both online mentor-led & self-paced e-learning. We combine direct tutoring activities with online sessions for students of grade 7 and above to gain edge over the emerging technologies. Our project-based learning approach encourages students to master the concepts and challenge themselves towards solving real-life problems.

With our sessions, we will share information that AI has 5 primary domains. These are Data, Computer Vision, Natural Language Processing, Audio, and Automated Machines. This post describes how each of these five domains can be applied in regular business activities.


Best examples are Seasonal and demand-based flight ticket pricing, Netflix movie recommendations, stock price predictions, and consumer transaction fraud detection. We're employing a data-driven algorithm path to complete the provided prediction challenge. This category encompasses the vast majority of AI applications in use by enterprises.

Computer Vision

Detecting and identifying items in images, counting and discriminating, tracking and recognizing action are some of the applications. To achieve its purpose, it successfully incorporates hardware and computer science, as well as machine learning. Every day, an estimated 3 billion photographs are exchanged online, and CV software is designed to handle such numbers. Computer vision is widely employed in a variety of industries, including automotive, healthcare, security, surveillance, vehicle plate recognition, visual navigation, machine inspection, and others. This is a prominent AI application that involves feature extraction and completes the task using deep learning neural network techniques. There are a number of pre-trained models that can be utilized for identification and recognition purposes.

Natural Language Processing

  • Automating Customer Support – NLP is being widely used in customer service in the form of Chabot or automatic service request classification or such.
  • Sentiment Analysis – A major social media and marketing application to understand the customer sentiments towards a product or a service.
  • Translators – The most popular is Google Translators which helps us to convert text almost from any language to the desired language.
  • Volume readers – NLP is empowering research community, lawyer and such who are supposed to read volumes of textual data as part of their work by automatically reading the documents and offering the summary or insights.


Besides signals such as environmental sounds, and animal calls, audio applications are not confined to speech. Examples are industrial applications, where devices continuously monitor the numerous sounds produced by essential machines and processes in order to predict any unwelcome breakdowns or process problems. This would also be utilized for preventative maintenance, increasing machine availability.

Personal assistants such as ALEXA, machine health monitoring, voice-based translators and audio redaction are just some of the applications.

The voice stream might be divided into several frequencies and targeted with specific frequencies that could be transcribed to text or processed directly depending on the application. This results in a more human-like understanding of natural interactions to generate insights.

Autonomous and Automation

Famous autonomous automobiles, warehouse storage robots, social robots, and autopilot are examples of typical applications.

Our lives would be more productive if autonomous machines existed. In this sector, there is still a lot of study being done. The level of autonomy and functionality will be directly proportional to AI breakthroughs.

Sounds interesting, doesn’t it? It will get more exciting in our hybrid sessions. We will describe each of these topics in an approach that  you can follow. Don't just study for earning a certificate. Become better professionals and more skilled in the latest technology.  Contact SchoolforAI today to know more about our courses.



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