There are simply too many technologies that really go into making a bot comprehend a question, then reason and finally respond to it. Unlike the human brain that has answers to most questions, intelligent systems have multiple answers to every question, it can comprehend and the cycle of responding with the right answer is often as key as being able to understand. This post is really about what kind of technologies and software architecture powers the QnA element of chatbots.
Text Analytics or often known as Text Mining is the discovery of new or existing facts applying the science of natural language processing and statistical learning techniques. This post explains how NLP based text analytics systems anatomically look like .
In a post last January, I had termed 2017 to be the year of the banking bots and chatbots , virtual assistants and robo advisors did seem to get their fair share of the spotlight. Throughout the year chatbots and their use cases occupied a fair share of attention and saw very senior business leadership take interest and action to enable NLP based intelligent systems become part of their ecosystem. And over and again , the basics of the technology or how-it-works was asked . Presenting a small primer to enable anyone to be able to understand the nuances.
The futurists of the world are besotted by the science that simulates the engagement , decision and the discovery process of the human brain -in other words Artificial Intelligence(AI) or Cognitive Sciences. Cognitive systems quickly identify patterns similar to a way our brain identifies situations and responds to it. Within AI , there are a number of different technologies and they lie at different points in the curve of adoption with virtual assistants and robo-advisors riding the crest of adoption. This post talks about the merits of the lesser known yet immensely intriguing Semantic Technology .
India is set to make up for its recent absence from the AI circuit and companies are making big investments to make it happen.Read on
The Rules Engine is the current muse of many an architect giving a smart makeover to the digital landscape of the bank while it adopts disruptive technologies. Read On..
With digital banking taking new age dimensions and moving beyond the standard automation and user experience , there is a notable shift in the rise of investments in intelligent systems across the globe . 2017 is predicted to be the real game-changer where the bots are going to greet , guide and operate the bank.Read on..