What is Artificial intelligence?

Artificial Intelligence (AI) is a technology designed to automate tasks, assisting humans by reducing effort and enhancing efficiency. The goal is to develop systems that mimic human intelligence, primarily focusing on learning and applying knowledge in decision-making processes.

A key aspect of AI is its ability to learn from interactions and experiences. Just as humans acquire skills from various sources and make decisions based on their exposure to different situations, AI systems learn by processing data and adapting to dynamic scenarios.

Now, let's explore some fundamental components of an AI system.

AI for C-Suites

The field of AI is evolving rapidly, with numerous systems already available in the market. While there are many in-depth resources online for studying AI, this article focuses on key insights that executives need to embrace and integrate AI into their organizations effectively.

Although the concept of AI has existed for decades, recent advancements in cloud computing, high-performance computing chips, and other technological breakthroughs have significantly accelerated its development. Over the past five years, these innovations have enabled rapid adoption, ushering in a new era of computing.

AI Types

Strong AI is similar to that of what we see in movies where the robots outperform the humans most of the times. However AI field is not quite there yet especially Humans decisions capability changes based on their feelings.

For now we can classify this into two:

• General AI or Gen AI

• Super Intelligent AI - Similar to Human - We are not there yet and we are not far as well as the current growth of developing such systems is exponential.

Narrow AI - Typical example is ChatGPT - Developed to perform specific task

Lets start learn about some of the basics of AI system and its components

• Deep Learning - Neural Networks

• Machine Learning - Patterns from Data

• Artificial Intelligence

  • Predictive AI

    • Based on Input it produces output , example given the data in an excel sheet, creating pie charts or forecast based on formula

  • GenAI

    • Creates new data, content or music, images etc based on the LLM, which will see shortly

AI Work flow

• Define business Goals or Use case

  • Identify the use and the problem statement

• Data Collection

  • Collect the data source

• Data Preparation/Sampling

  • Prepare the data by refining

  • identify the sample data

• Model Development/Validation

  • Create a Model and evaluate it

• Testing/Final Evaluation

  • Test the model and output

• Deployment strategy/Prod Env

  • Deploy the solution

• Monitor and Maintenance

  • Monitor the behaviour of the solution

• Feedback Loop/Cont.. Improvement

  • Is there a problem/refinement required, continue to train the model until expected outcome is achieved

Summary

This brief blog is for executives to embrace the AI technology . I'm confident by now you have some fair understanding of the basics of AI. In the upcoming blogs, we will learn about Machine Learning, Neural Networks and Practical applications of AI systems. Please read other blogs to understand it better, Happy learning! I welcome you all to AI Journey.