|
Listen to this story
|
Reports have forecasted that data and AI can add USD 500 billion to India’s GDP by 2025. Most observers agree that AI will profoundly change the jobs landscape in the next five to ten years. The crucial question that needs to be answered is: What should an engineer or manager do today to build a successful career in this new landscape? What actions do they need to take?
To answer this, SP Jain School of Global Management, in association with Analytics India Magazine, is organising a webinar on “How to build a career in AI with SP Jain Masters of Artificial Intelligence in Business” on July 23 from 11 AM to 12 noon. This webinar will provide a framework that will answer such questions and guide for taking actions that will lead to effective outcomes.
The webinar will also outline how S P Jain’s Master of Artificial Intelligence in Business (MAIB) course fits into this framework and why this makes graduates of this program very likely to succeed in AI-related careers. The MAIB is a two-year full-time interdisciplinary program that will cover AI’s foundations, principles, and techniques and focus on subjects such as economics, accounting, finance, and marketing. Students taking this course will work on many projects that apply AI to practical problems in retail, manufacturing, finance etc.
Date: July 23, 2022
Time: 11:00 AM – 12:00 PM
Register Now
This enriching discussion will be highly suitable for:
- Engineers
- IT Managers
- Data Scientists
- Data science & AI enthusiasts
- AI & ML aspirants
- Knowledge workers want to prepare for the AI-driven world of tomorrow and take steps to succeed
It is also open to both freshers and experienced professionals.
Date: July 23, 2022
Time: 11:00 AM – 12:00 PM
Register Now
Speaker
Dr Debashis Guha, Associate Professor and Director – Master of Artificial Intelligence in Business, SP Jain School of Global Management
He holds a PhD in Operations Research from Columbia University, New York, USA, a Masters in Physics from Texas Christian University, Fort Worth, USA, and a BTech from the Indian Institute of Technology, Kharagpur. He is a leading expert in business cycle forecasting using the leading indicator method with extensive knowledge of quantitative and statistical methods, especially machine learning, time series analysis, queueing theory, and systems and filtering theory.
