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Artificial Intelligence & Data Science

International FDP: AI & Data Science

International FDP on  ‘AI & Data Science: From Automation to Intelligence’

Enterprises, industries, organizations, societies, and countries are in the midst of an inevitable paradigm shift from ‘IT-enabled automation’ to ‘AI-enabled intelligence’. This manifests in the way our products, platforms, and services make billions of ‘decisions’ every day.This programme will help them understand the ‘AI transformation’ and evolve their ‘AI Thinking’ to the next level.

International FDP on  ‘AI & Data Science: From Automation to Intelligence’

Mode: Live Online

Upcoming Sessions

14 Mar 2022 - 17 Mar 2022

Key Benefits

  • Future skillsets for a data scientist 
  • Emerging trends in AI research 
  • Overview of AI and institutionalizing it for organizations 
  • Emerging trends in AI applications in industry 
  • Emerging trends in AI applications for social good 
     

Who Should Attend?

The programme is ideal for mid-to-senior professionals who want to be part of the AI revolution and understand its implications on businesses, functions, and industries. It will also be beneficial for senior executives who are responsible for leading their organization’s transformative initiatives in digital, data and AI.

Programme Synopsis

Institutionalisation of AI

Session Description

  • In this three part session we will explore AI from technology, process, architecture, and adoption perspectives. In the first part we will cover the philosophical and theoretical aspects of AI. 
  • In the second part we will understand a domain and data agnostic template for AI adoption across industrial and social use cases. 
  • In the third part we will explore the core paradigm shifts and examples of AI-first products of the next decade.
     

Speakers

Overview of current state of AI and introduction to the book ‘Artificial Intelligence: A modern approach’

Session Description

Focuses more on machine learning, deep learning, probabilistic programming, multiagent systems, and includes sections where the AI's utility function is uncertain, rather than certain. 
 

Speakers

Emerging trends in AI research - Natural Language Processing

Session Description

  • Two broad approaches to NLP are:
    • Text analysis
    • NLP for human-computer interaction and communication
  • NLP for Communication enables machines to use language as a medium of communication and interaction with human beings. For this the machines should be able to : 
    a) Extract information,
    b) understand and generate stories, and
    c) have conversations/dialogue

Speakers

Emerging trends in AI research - Computer Vision

Session Description

  • Computer Vision Applications: 
    • Satellite Imagery 
    • Retail AI
    • Sports Analytics 
  • Self-supervised Learning Motivations
  • How deep learning works ?

Speakers

Emerging trends in AI applications - Case Study in social sector

Session Description

  • Case Study on Community Health Workers
  • Case Study on Integrated Pest Management 
  • Case Study on Tuberculosis 
     

Speakers

Building data science programme at University of Chicago

Session Description

  • From “data poor” to “data rich”
  • The rise of Data Science – Oceanography, Neuroscience, Agriculture 
  • The Data Science Lifecycle

Speakers

Emerging trends in Data Visualization

Session Description

  • Where are we in the golden age?
  • Threads of research
  • Cross Filtering 
  • Changing of color scheme
  • Transforming selection semantics

 

Speakers

Programme Leadership

Faculty and Advisors