Campus News

Launch of Club DataTech

“Club DataTech”, the students’ Data Analytics club of SDMIMD was established with an objective to act as a backbone for all the data analytics related activities at the Institute. Club DataTech provides students an opportunity to assimilate, learn, and distribute wisdom related to the contemporary developments in data analytics.

Webinar by Dr Sandhya G. Krishnan of Congnizant

Dr Sandhya G Krishnan, Global Head of Millennial Council for Innovation Transformation and Global Diversity, Cognizant Technology Solutions, was the invited speaker for the webinar scheduled on October 23, 2020, on the topic ‘Aligning functional and behaviour skills for career development’ for the PGDM and PGCM 2020 Batch. 

Webinar on Cybersecurity and its growth prospects

In today's digital world, Cybersecurity is important because it encompasses everything that pertains to protecting our sensitive data from theft and damage attempted by criminals and adversaries.  To sensitize on these aspects and to introduce the placement avenues in this nish area a webinar on the topic “Overview of Cybersecurity and its growth prospects” was organized for PGDM and PGCM students of 2020 Batch on October 22, 2020. The interactive and informative talk was delivered by Mr. Rajesh Krishna, Founder, Securaa.io and Ms. Rashmi Vikram, Head - International Alliances, RSA Security & the alumnus of SDMIMD. 

Webinar on Leadership in the New Normal

Mrs Shilpa Nag, IAS, Director, Abdul Nazeer Sab State Institute for Rural Development and Panchayat Raj (ANSSIRD & PR), Mysore delivered a talk on “Leadership in the New Normal” on October 21, 2020 to the PGDM 2020-2022 Batch. The session had insights on the challenges and opportunities created from the COVID-19 pandemic and emphasized on the need for benevolent leadership in all walks of life to manage the health and business sectors in the new normal. The interactive session with students threw light on the adaptation and transformation in business, changing nature of employee engagement and regulation, and changing dynamics in consumerism. 

Webinar on Spend Management in SCP

Mr. Badrinath Waiker, Solution Manager, SAP Ariba, delivered webinar on the topic “Spend management in the context of global supply chain and procurement” to the PGDM 2019-2021 Batch on October 17, 2020. The session revolved around understanding spend management in the context of COVID-19, understanding the importance of Supply chain management, and how technology has transformed the supply chain management process. The session was made more illustrative by Mr. Waiker's real-life corporate examples. Mr. Waiker is an alumnus of SDMIMD.

MDP on Mastering the Art of Selling

A Management Development Program (MDP) on Mastering the Art of Selling was organized on October 15 & 16, 2020, for the corporate executives. Dr R Sugant, Chairman – Career Services and Professor – Marketing, SDMIMD, was the resource person for the Online MDP. 

Webinar on Adapting to New Normal

Ms. Preethy Unnikrishnan, Head, Human Resources – Strategic Growth Business, Tata Consultancy Services, delivered talk on “Adapting to new normal” to PGDM & PGCM Students of 2020 Batch on October 10, 2020. She elaborated the challenges TCS faced in onboarding 40,000 employees virtually and how TCS successfully overcame the challenge by using technology and human-centric approach. The speaker discussed about the challenges in transitioning 3 lakh+ workforce to work from home and ensuring the employees stay safe and motivated. The way TCS went about adapting “Secure Borderless Workspace” by ensuring employee safety and data security is a lesson on how to convert the crisis into opportunity. 

MDP on Statistical Methods for Machine Learning

A 2-Day MDP on “Statistical Methods for Machine Learning” was organized on October 8 & 9, 2020. Dr Srilakshminarayana G., Faculty-Quantitative Methods, SDMIMD, was the resource person for the online MDP. The program has provided a Hand’s-on experience to the participants on the application of the statistical methods used in Machine Learning. Case studies and relevant data sets were used to discuss the key Issues associated with each of the methods. On the first day, application of linear regression and logistic regression were discussed and on the second day, application of classification trees and regression trees were discussed. The program was concluded with discussion on discriminant analysis and cluster analysis.