AI refers to ‘Artificial Intelligence’ which means making machines capable of performing quick tasks like human beings. In simple words, Artificial Intelligence (AI) is the ability of machines to perform tasks that usually require human intelligence. AI has two key components -
Goals and Applications of Artificial Intelligence
Automate Workloads: Artificial Intelligence collects and analyze data using smart sensors or machine learning algorithms and automatically route service requests to reduce the human workload. Artificial Intelligence simplifies IT Operations as well.
Data Management: AI applications help to manage and analyze large databases simply. Moreover, displays a meaningful view of assets, business, staff or clients.
Improve Customer Service: With the use of a virtual assistant, businesses can provide real-time support and interations to its clients.
It is a set of algorithms used by intelligent systems to learn from experience.
Stage 2. Machine Intelligence
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.
Stage 3. Machine Consciousness
It is self-learning from experience without the need for external data.
3 Types of Artificial Intelligence
1. Artificial Narrow Intelligence (ANI)
It comprises of primary/role tasks such as those performed by chatbots, personal assistants like SIRI by Apple and Alexa by Amazon.
2. 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 and using AI in software testing.
3. Artificial Super Intelligence (ASI)
Artificial Super Intelligence refers to intelligence way smarter than humans.
Difference Between AI, NLP, ML, DL & Neural Networks
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 Artificial Intelligence, Data Quality and Quantity. With an effective AI platform and Strategy Enterprises can accelerate their Digital Transformation journey. Now though you know what is Artificial Intelligence and applications so, its time to learn AI Transformation Road Map and Adoption Strategy.