| EVENT TITLE | : International Webinar series on
“Enterprise Strategy & Perspective of Generative AI and its implications “ |
| DAY 01 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
- Also pointed out Generative AI vs Agentic AI
- Industry 5.o
- And real world tools
- At last Mrs Sindhu AP BCA gave 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 of 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.
Day 5:
Event Title:Ethics and Governace of AI
NO OF PARTICIPANTS : 48
RESOURCE PERSON DETAILS – BRIEF PROFILE OF THE SPEAKER
SUMMARY OF THE EVENT:
- Ubiquity & Value: Just like black goes with everything, data now underpins every decision—from marketing strategies to supply chain logistics.
- From Commodity to Core Asset: In the past, data was treated as a byproduct of applications. Now, it’s the centerpiece of innovation, driving AI, personalization, and predictive analytics.
- Self-Expression & Creativity: Some companies are even turning personal data into art—like jewelry based on your location check-ins or voice waveform designs. Data isn’t just functional; it’s expressive
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 6:
Event Title: Industry perspective of GENAI and its Implications
NO OF PARTICIPANTS : (239)
RESOURCE PERSON DETAILS – BRIEF PROFILE OF THE SPEAKER
Professional Details
- Nature of Employment: Regular
- Date of Joining: 13 November 1997
Academic Qualifications
| Degree | Discipline | Year | University |
| Ph.D. | Information and Communication Engineering | 2011 | Anna University |
| M.E. | Computer Science Engineering | 2003 | College of Engineering, Guindy (Anna University) |
| M.C.A. | Computer Applications | 1997 | Bharathidasan University |
| B.Sc. | Computer Science | 1994 | Bharathidasan University |
Key Contributions & Engagements
- Delivered webinars on:
- “Healthcare Analytics” — 17 July 2020 (MCA Association inauguration, Kongu Arts and Science College, Erode)
- “Role of Big Data Analytics in Healthcare” — 23 June 2020 (School of Computing Sciences, Vels Institute, Chennai)
- “How to Do Research?” — 2 June 2020 (Department of Computer Applications, Crescent Institute)
- “Teaching and Learning Using Google Meet” — 20 May 2020 (Kovai Kalaimagal Arts and Science College, Coimbatore; ~250 participants)
- Delivered guest lectures and participated in academic events:
- “Art of Writing Research Articles” — Faculty Workshop, Krishnaswamy Arts College for Women (1 April 2015)
- Judged paper presentations at “XPLOITS & COLOSIUM”, Valliammai College of Engineering (28 March 2015)
- “Recent Trends in Information Technology” — Guest lecture, St. Thomas College for Arts and Science (10 February 2015)
- Served as Session Chair at Second International Conference on Innovations in Contemporary IT Research (ICITR-2015; 6–7 [Month not specified])
SUMMARY OF THE EVENT:
- A.Jaya,Professor &Director(CDOE),B.S.Abdur Rahman Crescent Institute of Science and Technology, Chennai-48
- The session began with around 278 participants and featured an insightful talk on the role of Generative AI in shaping workforce strategies.
Discussed about Gen AI and its applications in the Workplace.
Highlighted tools for Code Generation ie., Compilers,IDEs with code generations,Model-driven tools etc., - Explained various Industry perspective in GenAI
Stressed the importance of AI in 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.
OUTCOMES OF THE PROGRAM: (Based of SDG)
- Participants gained a clear understanding of Generative AI (GenAI) and its role in shaping modern workplace strategies.
- Exposure to practical AI tools such as compilers, IDEs with code generation features, and model-driven tools enhanced participants’ awareness of real-world applications.
- The discussion on industry perspectives provided participants with insights into how organizations are adopting GenAI for efficiency, innovation, and competitiveness.
- Participants developed an appreciation of the strategic importance of AI in workforce planning, addressing challenges, and adopting best practices for the future of work.
- The interactive Q&A session enabled participants to clarify doubts, share viewpoints, and take away actionable ideas for applying AI in their professional contexts.
- Overall, the program empowered participants with knowledge, skills, and perspectives to leverage AI effectively in workforce transformation.





