Artificial Intelligence Overview
AI refers to ‘Artificial Intelligence’ which means making machines capable of performing quick tasks like human beings. AI performs automated tasks using intelligence. It has two key components –
Goals and Applications of Artificial Intelligence
Stages of Artificial Intelligence
It is a set of algorithms used by intelligent systems to learn from experience.
These are the advanced round of algorithms used by machines to learn from experience. E.g. – Deep Neural Networks.
Artificial Intelligence technology is currently at this stage.
It is self-learning from experience without the need for external data.
Types of Artificial Intelligence
Artificial Narrow Intelligence (ANI)
Artificial General Intelligence (AGI)
Artificial General Intelligence comprises of human-level tasks such as performed by self-driving cars by Uber, Autopilot by Tesla. It involves continual learning by the machines.
Artificial Super Intelligence (ASI)
Artificial Super Intelligence refers to intelligence way smarter than humans.
What Makes System AI Enabled
Difference Between AI, NLP, ML, DL & Neural Networks
Artificial Intelligence (AI)
Building systems that can do intelligent things.
Natural Language Processing (NLP)
Building systems that can understand language. It is a subset of Artificial Intelligence.
Machine Learning (ML)
Building systems that can learn from experience. It is also a subset of Artificial Intelligence.
Neural Network (NN)
A biologically inspired network of Artificial Neurons.
Deep Learning (DL)
Building systems that use Deep Neural Network on a large set of data. It is a subset of Machine Learning.
A Holistic Strategy
Enterprises are facing Adoption challenges when Implementing AI, Data Quality and Quantity. With an effective AI platform and Strategy Enterprises can accelerate their Digital Transformation journey.