Expert Talk On the Art of Analytics and  AI

Expert Talk On the Art of Analytics and AI

The Department of Computer Science and Engineering organized an insightful expert talk on t “The art of analytics and AI” The session, conducted by Mr.Hari Aiyappan, Director,Head of Analytics and A,I Deloitte, was coordinated by Assistant professor Ms. Kavitha S and Assistant professor Ms. Akhila VA.The program commenced with a morning prayer, followed by a welcome speech delivered by Dr.Leesha Paul Professor Department of Electronics and Communication Engineering, She warmly welcomed the participants and set the tone for the Expert talk, highlighting the importance of AI. The session was formally inaugurated by our Principal Dr.P.R Suresh and felicitation is done by our HOD Dr. S. Gunashekarn. Department of computer science and Engineering Finally vote of thanks done by MS.Akhila VA Assistant professor, Department of computer science and Engineering

After that session took over by our chief guest Mr.Hari Aiyappan , where he introduced the participants to various AI tools that can be utilized for efficient project documentation. He elaborated on the following topics:

Introduction:

  • Analytics and AI, highlighting their importance in today’s world. 
  • Briefly mentioned the intersection of analytics and AI

Foundations of Analytics:

  • Discussed the four V’s of big data (Volume, Velocity, Variety, Veracity).  
  • Explained the different types of analytics (Descriptive, Diagnostic, Predictive, Prescriptive). 
  • Briefly touched upon data visualization and storytelling.

 Introduction to AI:

  • Defined AI and its key subfields (Machine Learning, Deep Learning, NLP, Computer Vision).
  • Made familiarization on different AI algorithms (Supervised, Unsupervised, Reinforcement Learning). Applications of Analytics and AI
  • Showcase real-world examples across various industries (Business, Healthcare, Finance, etc.)

The Future of Analytics and AI:

  •  Emerging trends (e.g., AI-powered analytics platforms, edge computing, explainable AI).
  • Highlighted the ethical considerations and societal impact of AI.
  • More over discussed the future of work and the skills needed in the age of AI.

 Conclusion:

  • Summarize key takeaways.
  • Emphasize the importance of continuous learning and adaptation in the field of AI.
  • Open the floor for questions and discussion.