Data Science Experts Video Insights
Mr. Subhrajit Bhattacharya, Professor, NMIT Bengaluru
Event Recap: Workshop on Artificial Intelligence – “Ever Wondered How Machines Predict the Future?”
On 26th November 2024, Digital Training Lab successfully conducted a captivating and knowledge-rich workshop on Artificial Intelligence (AI) titled “Ever Wondered How Machines Predict the Future?”. The session was led by Mr. Subhrajit Bhattacharya, an industry expert and academician, currently serving as a Professor at NMIT Bengaluru.Mr. Bhattacharya's extensive industry experience includes key roles in several leading organizations. His career journey has spanned over two decades, including leadership and research positions in AI and Data Engineering across multinational companies.
Mr. Subhrajit Bhattacharya is a distinguished academic and industry leader with extensive experience in technology, data engineering, and artificial intelligence. He currently serves as a Professor at NMIT Bengaluru. With a strong corporate background, he has worked as Director of AI Sciences at Target Corporation for four years and as Vice President at Career Launcher for one year. He also brings 18 years of rich experience as an IT and Data Engineering Expert at IBM India Pvt. Ltd., along with three years as a Research Staff Member at NEC Corporation. With such an impressive and diverse professional journey, Mr. Bhattacharya brought a powerful combination of industry insights and academic expertise to the workshop, offering participants valuable real-world knowledge and strategic career guidance.
Key Highlights from the Workshop:
1. Understanding the Role of AI in Predictive Systems : Mr. Bhattacharya opened the session by explaining how AI systems use data to anticipate future outcomes. He connected this to real-life applications such as forecasting in finance, healthcare, and retail.
2. Demystifying Machine Learning Algorithms : The session covered how supervised and unsupervised models function in predictive analytics. Mr. Bhattacharya explained common algorithms like decision trees, regression, and clustering with clear examples.
3. Real-World Case Studies : Drawing from his experience at Target, IBM, and NEC, he demonstrated how AI-driven decision systems work at scale—such as customer segmentation, product recommendation, and trend forecasting.
4.Bridging Industry and Academia : One of the unique aspects of the workshop was how Mr. Bhattacharya merged academic theory with enterprise-level applications. His dual perspective helped attendees relate textbook concepts to practical implementations.
5. AI in Business Transformation : He discussed how industries are being reshaped by AI, especially through automation, data-driven decision-making, and intelligent systems that adapt in real-time.
6. Ethical Considerations in AI : The session also addressed important questions about AI ethics, fairness, and accountability. Mr. Bhattacharya emphasized building transparent and responsible AI solutions.
Key Takeaways for Attendees:
1. Deep understanding of predictive AI and its business applications.
2. Exposure to real-world AI projects across major organizations.
3. Insight into bridging academic knowledge with enterprise deployment.
4. Awareness of ethical practices in building machine intelligence.
5. Motivation to explore AI-driven career paths and projects.
Organizing the Event
The workshop was organized by Digital Training Lab and received an enthusiastic response from students, early professionals, and AI enthusiasts. Mr. Bhattacharya’s style of delivery—interactive, intuitive, and industry-relevant—kept the audience engaged throughout.The event concluded with a Q&A session, where attendees asked insightful questions on careers in AI, research opportunities, tools to learn, and real-world deployment strategies. Mr. Bhattacharya’s answers provided both clarity and inspiration.
