The Age of
Artificial Intelligence
Where machines
Come to life
What is AI?
Artificial intelligence is intelligence demonstrated by machines, as opposed to the natural intelligence displayed by animals including humans. It is the ability of a computer or a robot controlled by a computer to do tasks that are usually done by humans because they require human intelligence and discernment.
Why AI?
Aritificial Intelligence allows organizations to make better decisions, improving core business processes by increasing both the speed and accuracy of strategic decision-making processes.
AI in Everyday Life
Voice assistants, image recognition for face unlock in cellphones, and ML-based financial fraud detection are examples of AI software currently being used in everyday life.
Current State of AI
AI adoption is continuing its steady rise: 56 percent of all respondents (of a 2021 survey) report AI adoption in at least one function. The global AI adoption rate grew steadily and now is at 35%.
Future of AI
AI is ready to become the main component of various emerging technologies like big data, robotics, and IoT. It will continue to act as a technological innovator in the coming years.
DOMAINS OF AI
DATA FOR AI
AI works on a variety of data. It requires humongous amount of data, which is termed as "Big Data". Data is of three types, namely, Visual, Textual, and Numerical. As the name suggests, Visual data is made up of images and tagged by what they contain. Textual data is specific to the linguistic world, and Numerical data is made up of figures and measurements.
COMPUTER VISION
Natural Language Processing
Natural language processing is a subfield of linguistics,
computer science, and artificial intelligence concerned with the
interactions between computers and human language, in particular
how to program computers to process and analyze large amounts of
natural language data. NLP has two sub-parts:
1. Natural Language Understanding (NLU): It is related to how
machines understand given information.
2. Natural Language Generation (NLG): It is realted to how
machines generate output as per the given information.
#FunFact: AI machines find NLG to be easier than NLU, whereas
human beings find Understanding to be easier than Generating.
Contact Us
Use the form on right to contact us. Ask us anything by first entering your e-mail so that we can reply you promptly. Also briefly describe your issue/praise/query.