Page 7 - Volume5, Issue 3, May-August 2024
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PANEL DISCUSSIONS AND INVITED TALKS
Guest Lectures, Seminars & Workshops
12 JULY
The Interdisciplinary Decision Sciences & Analytics workflows. The course aimed to bridge the gap
Lab (IDeAL) at the Indian Institute of Management between traditional research methods and modern
Visakhapatnam (IIMV) is pleased to conduct a AI-driven approaches, equipping scholars with
PhD Seminar Course titled “Leveraging Natural state-of-the-art capabilities for data-driven
Language Processing and Large Language Models decision-making. The seminar covered the
for Research Exploration and Data Analysis.” It following key topics: Introduction to Natural
was conducted in collaboration with the Centre of Language Processing, Understanding and Utilizing
Business Data Analytics, Copenhagen Business Large Language Models, Applications of NLP in
School (CBDA-CBS). Professor Shivshanker Singh Research and Data Analytics, Real-world Case
Patel from IDeAL-IIMV and Prof. Raghava M. from Studies and Use Cases in Academic Research, and
CBDA-CBS took sessions from July 12th to July Hands-on Projects and Practical Implementation.
15th, 2024.
The course was to equip doctoral students and About IDeAL-IIMV:
researchers with cutting-edge tools and techniques The Interdisciplinary Decision Sciences & Analytics
in the rapidly evolving fields of Natural Language Lab (IDeAL) at IIM Visakhapatnam is a centre of
Processing (NLP) and Large Language Models excellence focused on fostering research and
(LLMs). It has focused on its application in research innovation in decision sciences, analytics, and
exploration, data analysis, and deriving meaningful interdisciplinary studies. It provides a collaborative
insights from vast amounts of unstructured data. platform for academic researchers, industry
Participants gained hands-on experience with experts, and policymakers to explore strategic
advanced NLP techniques and learnt how to applications of emerging technologies and data-
effectively use LLMs to accelerate their research driven decision-making.
4 VOL.5/ ISSUE 3, MAY-AUGUST 2024
