Artificial Intelligence & Machine LearningRevolutionize the business environment drastically

Artificial Intelligence & Machine Learning

Artificial Intelligence has revolutionized the business environment drastically. The concepts that originated as a rule-based automation system are now able to simulate human interactions. From Siri, Alexa, and self-driving cars, Artificial intelligence (AI) is a big part of technological waves sweeping through our world.

Artificial intelligence & Machine Learning are used interchangeably, but they are not quite the same thing. Artificial intelligence is a technology whose goal is to simulate human interactions or natural intelligence to solve a problem. In contrast, Machine Learning’s goal is to learn from the data of a task and maximize the machine’s performance on that task. Artificial Intelligence is geared towards decision making, while Machine Learning allows the system to learn and discern new things from data.

Artificial intelligence (AI) contains many subdomains, including:

Machine Learning

  • Automates analytical model building. It uses neural networks, statistics, operations research, and physics to find hidden insights in data. Machine Learning algorithms automatically learn and improve by learning from their output without explicit instructions to produce the desired outcome. They learn by observing their accessible data sets and compare them with examples of the final output.

Neural Network

  • Inspired by the workings of the human
  • brain. It is a computing system made up of interconnected units (like neurons) that process information by responding to external inputs and relaying information between them.
  • This is achieved by multiple passes at the data to find connections
  • and derive meaning from undefined data.

Computer Vision

  • Computer Vision relies on pattern recognition and deep learning to recognize and understand a picture or video's contents. By processing, analyzing, and understanding images, machines can capture photos or videos in real-time and interpret their surroundings.


  • Natural Language Processing is the ability of computers to analyze, understand, derive meaning from human language and generate human language, including speech.
  • The objective of NLP is to understand and decipher the human language to present a result ultimately.

Deep Learning

  • Deep learning concepts teach
  • machines what comes naturally to us humans.
  • Deep Learning can train a computer model to run classification acts taking
  • images, text, or sound as an input.

Artificial intelligence (AI) brings with it a prospect of genuine human-to-machine interaction. Intelligently built machines can understand requests, connect data points, and draw conclusions. They can reason, observe, and plan.

The emergence of Artificial Intelligence (AI) empowered enterprises across the globe. From music recommendations, map directions, mobile banking to fraud prevention, AI and other technologies have taken over.

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