Event Title: International Webinar Series on
"Enterprise Strategy & Perspective of Generative AI and its Implications"

DAY 1

Title

Augmenting the Workforce – Gen AI’s Role in Shaping Future_of_Work Strategies

Resource Person

Mr. Udayakumar Mathivanan
Chief Technology Officer, iDataMind, UK

Date

18.08.2025

Time

6.00 PM – 7.00 PM

Platform

ZOOM

Event Convener

Dr. S. Umashankari
Dr. T.S. Suganya
Mrs. J. Sai Vijayalakshmi

No. of Participants

321

RESOURCE PERSON DETAILS – BRIEF PROFILE OF THE SPEAKER

UdayaKumar M.

CTO | Data Scientist | AI & Cloud Strategist | Business Coach | Healthcare IT Specialist

Dubai, United Arab Emirates • LinkedIn • udayakumarmuthu@naver.com

Summary

Technology leader with 18+ years of experience driving innovation in AI, Data Science, and Cloud. Expert in architecting scalable AI platforms, predictive analytics systems, and deep learning models that transform enterprises. Proven ability to lead global teams, design future-ready technology stacks, and foster a culture of innovation and collaboration.

Core Expertise

• AI/ML & Data Science: NLP, Deep Learning, Predictive Analytics, Computer Vision
• Cloud Platforms: AWS, Azure (Data Lake, Factory, HDInsight, ML Studio), GCP
• Big Data: Hadoop, Cassandra, ETL Tools
• Programming: Python, R, Go, LISP
• Leadership: Strategic Vision, Product Development, Cross-Functional Collaboration

Experience

Chief Technology Officer – iDataMind Data Systems
(Jan 2024 – Present, Dubai)

• Lead AI & Data Science strategy, cloud solutions, and product innovation.
• Drive cross-functional collaboration to deliver measurable business impact.

Associate Director – Development – Amazon Web Services (AWS)
(2019 – 2024, USA)

• Spearheaded Data Science & AI initiatives across global markets.
• Built and managed teams of Data Scientists, ML Engineers, and AI specialists.

Cloud Solution Architect – HARMAN International
(2014 – 2019, Germany)

• Designed enterprise-level Azure solutions, ensuring scalability and security.

Earlier Roles

• Technical Architect (Symphony Teleca)
• SharePoint Lead (Microsoft Consulting Partner, Crimson Logic, Collabera)
• Senior Analyst (Chimera)
• Team Lead (FOHMICS)
• Senior Engineer (Maestro)
• Lecturer (Maharaja College of Engineering)

Education

• Stanford University – Data Science Graduate Program (2019–2021)
• University of South Florida – Global Business B.A., IT Project Mgmt. (2010–2012)
• NIT, Tiruchirappalli – B.E. Computer Science (1998–2002)

SUMMARY OF THE EVENT

Dr. S. Uma Shankari, Head of the Department of Computer Applications, welcomed the gathering.

Dr. J. Dhilipan, Vice President (Admin), felicitated the event and introduced the distinguished guest.

Dr. K. Sutha, Program Co-Ordinator, CSA (Shift II), introduced the eminent speaker.

Resource Person 1: Mr. Udayakumar Mathivanan
Chief Technology Officer, iDataMind, UK

The session began with around 321 participants and featured an insightful talk on the role of Generative AI in shaping workforce strategies.

• Discussed Workforce Transformation Drivers and AI Use Cases in the Workplace.
• Highlighted LLMs (GPT, BERT, BLOOM, LLaMA) and their enterprise applications.
• Explained various Generative AI tools – Enterprise Copilots, Productivity tools, Creative platforms, Workflow Integrators.
• Stressed the importance of Future-of-Work strategies, challenges, and best practices.
• The session concluded with an engaging Q & A discussion, where participants interacted actively and gained valuable insights.

DAY 2

Event Title

Role of GEN AI in Fintech

No. of Participants

171

RESOURCE PERSON DETAILS – BRIEF PROFILE OF THE SPEAKER

SUMMARY OF THE EVENT

• Exposure to International webinar series.
• How can AI generative AI help in enterprise operations?
• AI is reshaping ATM cash optimization by introducing advanced algorithms and predictive analytics to better manage cash inventory and optimize ATM operations.
• Provides a basis for systems that need to reason about the effects of actions in various scenarios, such as automated theorem provers and problem solvers.
• Why Stripe has been putting AI to work in our Optimized Checkout Suite.
• The Optimized Checkout Suite combines prebuilt payment UIs.

OUTCOMES OF THE PROGRAM

The guidance to help the students to identify the strengths & areas of Generaive AI and its applications. The session provided to students with a clear view to explore AI Fraud deductions Applications.

The Optimized Checkout Suite combines prebuilt payment UIs; easy access to 100 payment methods; and Link, Stripe’s accelerated checkout—all orchestrated by cutting-edge AI models.

DAY 3

Event Title

Future Proofing the Workforce: A Need for Strategic Convergence of GENAI, Industry 5.0 and Beyond

No. of Participants

231

RESOURCE PERSON DETAILS – BRIEF PROFILE OF THE SPEAKER

SUMMARY OF THE EVENT

• Event welcome address followed by chief guest introduction by Mrs. Surya S., AP, BCA.
• Session handled by Dr. Grace Hannah Joshua about Artificial Intelligence to Generative AI journey and also pointed about her talk she pointed out:
  • Agentic AI to the rise of Compounded LLMs.
  • Generative AI vs Agentic AI.
  • Industry 5.0.
  • Real-world tools.
• At last, Mrs. Sindhu, AP, BCA, gave the vote of thanks.

DAY 4

Event Title

Understanding the Basics of AI, Exploring Key Technologies and Discovering Its Impact on Your Daily Life

No. of Participants

239

RESOURCE PERSON DETAILS – BRIEF PROFILE OF THE SPEAKER

SUMMARY OF THE EVENT

• Explored AI in Action by Tech Giants – Showcased Amazon AI solutions like Alexa, Rufus, and personalized shopping experiences.
• Discussed Open Source Innovation – Emphasized TensorFlow, PyTorch, and LLaMA as enablers of transparency, collaboration, and accessibility.
• Introduced AI Interaction Concepts – Covered prompts, context, hallucinations, and fine-tuning for effective use of AI models.
• Explained AI Foundations – Clarified key terms such as Machine Learning, Deep Learning, Algorithms, and Models.
• Shared Key Takeaways – Practical insights into leveraging AI, open-source contributions, and the importance of foundational understanding in workplace adoption.
• The session concluded with an engaging Q & A discussion, where participants interacted actively and gained valuable insights.

OUTCOMES OF THE PROGRAM (Based on SDG)

• The session enabled students to explore AI in Action through real-world applications like Alexa, Rufus, and personalized shopping, giving them insights into how AI drives innovation and efficiency.
• Students gained awareness of Open Source Innovation (TensorFlow, PyTorch, LLaMA), promoting collaboration, accessibility, and equitable growth in line with sustainable development principles.
• The introduction to AI Interaction Concepts (prompts, context, hallucinations, fine-tuning) helped students understand responsible and ethical AI usage.
• Students developed clarity on AI Foundations such as Machine Learning, Deep Learning, Algorithms, and Models, strengthening their core knowledge base.