IMT CDL organized a virtual roundtable on the topic “Unleashing the Power of Data: Innovation & Insights in Business Analytics” on 27th August 2023, from 03:00 to 04:00 PM. The roundtable focused on exploring data-driven strategies for a competitive edge in the digital landscape while highlighting innovations that revolutionize businesses. Expert Panelists engaged in key discussions on data privacy, transparency, and trust-building.
Key takeaways from the roundtable:
- Use data-driven strategies to outpace competitors and lead the market.
- Explore AI, ML, and predictive analytics to optimize operations and seize new opportunities.
- Prioritize privacy, transparency, and fairness to build trust through ethical data practices.
The roundtable was hosted by Prof. (Dr.) Loveleen Gaur, Adjunct Professor with Taylor University, Malaysia & University of South Pacific – Fiji, Academic Consultant with Australian School of Graduate Studies.
The panelists consisted of the following industry experts:
Mr. Partha Majumdar-Vice President for Software Engineering in a Multinational Bank
Partha has been developing computer software for 34 years as of 2023. He has been involved with Data Sciences since 2012 and has written 2 books on the subject as on date. Most recently, he is experimenting with programming using ChatGPT API.
Mr. Santhosh Panchapakesan Subramanian-Director Transformation at Conduent Business Services Ltd.
With 21 years in the IT industry, He has played multiple roles – Developer, Systems Analyst, Architect, Manager, and now, a Transformational Leader. Led diverse global teams, specializing in Customer Communication, Automation (RPA/OCR/ICR/IDP/AI/ML), and overseeing Demand Supply, and Finances for multiple Business units.
Mr. Sumit Agarwal-Data Engineer-Fractal Analytics
Experienced data scientist skilled in Python 3, SciKit Learn, Matplotlib, ARIMA for AWS-hosted forecasting models. Proficient in Tableau, Service-Now, and Power BI for impactful visualizations. A versatile professional in Data Engineering and Business Analytics, excelling in designing and optimizing data pipelines for seamless flow across diverse sources to robust analytical platforms.