Cognitive computing makes a new class of problems computable. To respond to the fluid nature of users understanding of their problems, the cognitive computing system offers a synthesis not just of information sources but of influences, contexts, and insights. These systems differ from current computing applications in that they move beyond tabulating and calculating based on pre-configured rules and programs. They can infer and even reason based on broad objectives.

In this sense, cognitive computing is a new type of computing with the goal of more accurate models of how the human brain or mind senses, reasons, and responds to stimulus. It is a field of study which studies how to create computers and computer software that are capable of intelligent behavior. This field is interdisciplinary, in which a number of sciences and professions converge, including computer science, electronics, mathematics, statistics, psychology, linguistics, philosophy, neuroscience and biology.

Project Features are Adaptive:

• They MUST learn as information changes, and as goals and requirements evolve.
• They MUST resolve ambiguity and tolerate unpredictability.
• They MUST be engineered to feed on dynamic data in real time;
• Interactive: They MUST interact easily with users so that those users can define their needs comfortably.
• They MUST interact with other processors, devices, services, as well as with people;

• Iterative and Stateful: They MUST aid in defining a problem by asking questions or finding additional source input if a problem statement is ambiguous or incomplete.

• They MUST remember previous interactions in a process and return information that is suitable for the specific application at that point in time;

• Contextual: They MUST understand, identify, and extract contextual elements such as meaning, syntax, time, location, appropriate domain, regulation, user profile, process, task and goal.

• They may draw on multiple sources of information, including both structured and unstructured digital information, as well as sensory inputs (visual, gestural, auditory, or sensor-provided).

Speaker

Joy Mustafi

One of the Top Data Science Influencers in India (Digital Vidya). Winner of Zinnov Award 2017 – Technical Role Model – Emerging Technologies (Senior Level). Joy Mustafi is Director and Principal Researcher at Salesforce, primarily responsible for leading the Salesforce Einstein and other intelligent cloud platform in India. Joy has overall sixteen years of experience in corporate, research and academic world.

Joy has worked as Principal Applied Scientist at Microsoft – Artificial Intelligence and Research, Data Science and Machine Learning. Was with IBM for a decade as Data Scientist, and involved in the Business Analytics and Optimization, Watson Solutions, IT Operations Analytics etc. Got the Research Fellowship Award in Computer and Communication Sciences from Indian Statistical Institute. Collaborated with the ecosystem by visiting around twenty-five leading universities in India as visiting faculty, guest speaker, advisor, mentor, project supervisor, panelist, academic board member, curricula moderator, paper setter and evaluator, judge of events like hackathon etc. Supporting around fifteen start-ups and non-profit forums being in the board or as consultant for data sciences. Having more than twenty-five patents and fifteen publications on artificial intelligence in the recent past years. Joy is the Founder and President of MUST Research Club, a non-profit organization registered under Society Act of India to promote excellence and competence in the field of cognitive computing, data science and advanced analytics for the benefit of the society.