GUEST LECTURE on: Advances in AI-ML

Date and Time of Event: 16 January 2025, 1 pm -2.30 pm

Name of Speaker: Mr. Shivam Joshi

Name of Faculty In-Charge:  Prof. Siddhant Jaiswal

Target Audience: 1st, 2nd, and 3rd years of the AIML department

Introduction to the Speaker:

Shivam Joshi, a young tech wizard is an entrepreneur, founder and executive director at Codon’s as well as a Corporate trainer. He is India’s youngest corporate trainer for Artificial Intelligence. He started his entrepreneurial journey at the mere age of 18. Building Codon’s from scratch and all by himself, his efforts are praise worthy. Within a span of year, he scaled up and became a corporate trainer at the young age of 19. He has always been of the strong opinion that marks and grades are just an overviewing factor but it cannot define one’s worth. He proved his words through his exceptional accomplishments.

Event Summary:

On 16^th January 2025, Mr. Shivam Joshi, an expert in Artificial Intelligence , delivered an engaging talk on Advances in AI-ML. His session aimed to inspire students across the 1st, 2nd, and 3rd years of the AIML department to innovate and embrace entrepreneurship in the ever-evolving world of artificial intelligence.  The session was held in DT702.

Key Highlights of the Lecture:

1. Knowing Your Market and Target Audience:
   Joshi emphasized the importance of understanding customer needs and market dynamics for entrepreneurial success.
2. Innovation and Knowledge Implementation:
   He encouraged students to use their theoretical learning to create innovative and practical solutions to real-world problems.
3. Significance of Data and Its Applications:
   The discussion revolved around how data serves as the foundation for informed decision-making in business and technology.
4. Correlation and Covariance:
   He explained these critical statistical concepts and their relevance in analyzing datasets.
5. Mutual Funds Project:
   Insights into using data for financial projects, such as mutual funds analysis, were shared to highlight practical applications.
6. Equity, Debt, and Hybrid Investments:
   Joshi bridged theoretical knowledge and real-world practices, explaining investment strategies with relatable examples.
7. Statistics Simplified:
   Students were guided through essential statistical principles in an accessible and practical manner.

Interactive Session:

The session concluded with an interactive Q&A, where students actively engaged with Mr. Joshi. His real-life examples and practical advice motivated students to think creatively and pursue opportunities in entrepreneurship and data science.

Students felt great about the session, with one remarking, ‘Mr. Joshi’s examples made AI-ML concepts easy to grasp and relatable to real-world scenarios.

One student remarked, ‘Mr. Joshi’s examples made AI-ML concepts easy to grasp and relatable to real-world scenarios.’ Another said, ‘The session inspired me to think creatively and explore data science as a career path.’ Overall, the lecture was a memorable and enriching experience.