The Fifth Elephant 2019

Gathering of 1000+ practitioners from the data ecosystem

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The Artificial Intelligence Ecosystem driven by Data Science Community

Submitted by Joy Mustafi (@joymust) on Monday, 15 April 2019


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Session type: Full talk of 40 mins

Abstract

MUST Research is dedicated to promote excellence and competence in the field of data science, cognitive computing, artificial intelligence, machine learning, advanced analytics for the benefit of the society. MUST is to build an ecosystem to enable interaction between academia and enterprise, help them in resolving problems, as well make them aware of the latest developments in the cognitive era to provide solution, guidance or training, organize lectures, seminars and workshop, collaborate on scientific programs and societal missions. The most exciting feature of MUST is the fundamental research on cutting-edge technologies like artificial intelligence, machine learning, natural language processing, text analytics, image processing, computer vision, audio signal processing, speech technology, embedded systems, internet of things etc. MUST Research is a non-profit organization registered under Society and Trust Act of India.

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). {A set of cognitive systems is implemented and demonstrated as the project J+O=Y}

Engage: Pulse Creation; Arranging Lectures on AI Topics; Brainstorming with Members
Explore: Ideation and Maker Events; Leader Connect for Research Opportunities; Mentoring for Implementation
Experiment: Projects and Demonstration; Deeper Evaluation of Ideas; Feedback and Iterations
Empower: AI Ecosystem Events (in collaboration with corporate and academia); Publications and Patenting; Accomplishments

Outline

Introduction
Ecosystem
Objectives
Activities
Applications (Project J+O=Y)
Problem Solving with Text and Numbers
Analytical Questions with Tables and Charts
Problem Solving with Vision
Connected Robot through Sensor and Voice Control
Innovativeness
Market Impact
Social Impact
Sustainability
Inter-operability
Collaboration
Patents / Publications

Requirements

As per conference standard.

Speaker bio

Among Top Ten Data Scientists in India (Analytics India Magazine http://analyticsindiamag.com/top-10-data-scientists-in-india-2015/ and Manipal Global Academy of Data Science https://www.manipalprolearn.com/blog/top-10-data-scientists-india). One of the Top Data Science Influencers in India (Digital Vidya https://www.digitalvidya.com/blog/data-science-influencers-in-india/). 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.

Had 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.

https://patents.google.com/?q=%22Joy+Mustafi%22&scholar&oq=%22Joy+Mustafi%22

Joy is the Founder and President of MUST Research Club (http://must.co.in/) 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.

His voluntary responsibilities include: Representative - Artificial Intelligence Sectional Committee, Bureau of Indian Standards (BIS); Core Member - Artificial Intelligence Center of Excellence, Microsoft Artificial Intelligence and Research; Program Coordinator - AI School, Microsoft India; Executive Member - International Organization for Standardization (ISO); Chair - Artificial Intelligence Chapter, Microsoft Garage India; Member - Executive Council, Data Science Foundation; Member - Special Interest Group, NASSCOM; Member - Campus Governance Council, Microsoft India; Ambassador - Academia Accelerator Program, Microsoft India; Campus Relationship Manager, IBM India etc.

Links

Preview video

https://www.youtube.com/watch?v=oWlq5AT_qLo

Comments

  • Zainab Bawa (@zainabbawa) Reviewer 5 months ago

    What is the goal of this proposed talk? Who is the audience for this talk?

    • Joy Mustafi (@joymust) Proposer 5 months ago

      Goals:

      To promote excellence and competence in the field of data science, cognitive computing, artificial intelligence, machine learning, advanced analytics for the benefit of the society.

      To build an ecosystem to enable interaction between academia and enterprise, help them in resolving problems, as well make them aware of the latest developments in the cognitive era to provide solution, guidance or training, organize lectures, seminars and workshop, collaborate on scientific programs and societal missions.

      To do research on cutting-edge technologies like artificial intelligence, machine learning, natural language processing, text analytics, image processing, computer vision, audio signal processing, speech technology, embedded systems, internet of things etc.

      Audiences:

      Professionals looking for career shift into data sciences; Academicians looking for industry collaborations, Entrepreneurs looking for AI research wing, Corporate SMEs looking for social responsibilities, Students looking for internships etc.

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