Brief Overview of Artificial Intelligence (AI)

  • General (Software-based) AI — Examples like Alexa, Siri, Google searches, Amazon shopping recommendations, Smart home appliances, etc.
  • Embodied (Hardware-based) AI — Examples like drones, robots, machinery, driverless cars, etc.
  • Machine Learning
  • Neural Network
  • Deep Learning
  • Cognitive Computing
  • Computer Vision
  • Natural Language Processing (NLP)
  • Graphic Processing Units (GPU)
  • The Internet of Things (IoT)
  • Advanced Algorithms
  • Application Programming Interfaces (API)
  • Automation processes
  • Research and breaking down data through analysis in a quicker manner
  • Since it’s run with code and everything is automated and accounted for in terms of action there’s a lesser margin for error
  • Medical advancements and the recent boom of surgeries performed by robotic equipment
  • AI is available 24/7!
  • AI is a work-horse that can handle big amounts of data to process and AI learns over time that can figure out irregularities in patterns that can be a boost in the cybersecurity and the banking sector.
  • Expensive to maintain, not a cost-effective solution
  • Expensive to develop and build and the developmental stage is time-consuming
  • Maintenance and upkeep is costly in case of outages and errors
  • No element of creativity and impromptu solution finding skills like humans
  • Fear of unemployment by assigning tasks to AI solutions




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Shonit Arora

Shonit Arora

Freelancer - Content Writer and Digital Marketer based in Mumbai, India.

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