15 Feb AI then, now and tomorrow
Author – Dr. Srinivas Kilambi, Founder & CEO, Sriya DXI, LLC
Artificial intelligence (AI) is the intelligence exhibited by machines or software. It is also the name of the academic field which studies how to create computers and computer software that are capable of intelligent behavior.
Thinking machines appear in Indian and Greek myths since centuries and by the 19th and 20th centuries, artificial beings had become a common feature in fiction. However it was Alan Turing’s invention of a programmable computer which gave birth to the modern AI. He suggested that by shuffling symbols like 0 and 1, machines could solve any mathematical problem. The field of AI was founded at Dartmouth College in 1956. John McCarthy and 5 others became leaders in AI for decades. Initial AI failed to recognize some of the complex problems and led to its pre-mature death by 1974.
However it was the commercial success of “Expert Systems”, a form of AI which simulated the knowledge and skills of human experts, which revived AI in 1980s. AI market was then in billions of $. However with the collapse of the Lisp machine’s market in 1987 AI again fell into disrepute. But all was not lost and the advent of Neural Networks (networks similar to network of neurons found in human brain) revived AI like never before. AI was now being used to solve specific problems in data mining, logistics, medical sciences and manufacturing. Limitations in computing power of 1990s led to the decline of NN.
In early 2000s, the advent of machine learning led to the rebirth of AI in a grand way. Machine learning is the study of pattern recognition and computational learning theory in artificial intelligence. Machine learning explores the study and construction of algorithms that can learn from and make predictions on data. NNs also made a great comeback with “deep learning”, which model high-level abstractions in data by using multiple processing layers with complex structures.
AI began from simple computing to complex computing to data mining to cognitive computing to predictive analytics to finally prescriptive analytics.
We at Sriya DXi have invented a very simple to use AI tool which uses machine learning to measure and quantify digital experience of an user on a web site and then offer personalized predictions and prescriptions to correlate this index to:
- Higher conversions of users to customers
- Greater customer retention, engagement, brand loyalty, frequency and monetization
- Lower customer support costs
DXi is a true Quantitative, Cognitive, Predictive and Prescriptive solution in one and is available for a Free Trial”. (some of the definitions have been borrowed from Wikipedia)