Computer Vision and
Applications

Vivek Kumar

DATA SCIENCE MANAGER - PWC

Vivek Kumar stressed the pivotal role of computer vision, delving into Image Processing and its broad applications.
Key topics included 3D recognition, object recognition through feature detection, motion estimation, and image classification using ML. Practical examples featured a Grab & Go shop and Health and Safety Monitoring, demonstrating real-world applications for retail and security.

Demystify AI and Its Impact on the Job Market

Rahul Jain

DATA ENGINEERING MANAGER - SNOWFLAKE

The topic of the guest lecture was popular technical buzzwords, including Gen AI, ML, DL, and AI. The methods of Deep Learning (DL) and Machine Learning (ML) were described from input to output.Mr. Jain went into further detail regarding the importance of large and small language models, or LLMs. We talked about ChatGPT's development and unique features, like RHLF (Reinforcement from Human Feedback) and self-supervised learning.

Importance of
Big Data in Today's Market

Sumit Mittal

FOUNDER & CEO - TRENDYTECH

Sumit Mittal explored Big Data's definition, emphasizing the need for new technology and scalable processing. Differentiate monolithic and distributed systems, delve into Hadoop, and grasp concepts like data distribution, MapReduce, and project workflows. Assess data pipelines, compare serverless and server-full architectures, analyze Apache Spark, discuss resilient distributed databases, and highlight their transformative role in Big Data.

Beyond AI & Data Science - Expectation of a New Data Scientist

Markus Schaal

DATA SCIENCE ADVISOR - WEBTREKK, GERMANY

Markus Schaal initiated a discussion on the untapped potential of AI, stressing the necessity of think-tank workshops. He addressed uncertainties in future scenarios, highlighting challenges at organizational and individual levels. Topics included preparing companies for digital transformation, current AI trends like predictive analysis, and the crucial role of data sharing and knowledge exchange.

AI/ML Applications in the
Industry

Mahesh Jadhav

SENIOR MANAGER DATA & AI -
ACCENTURE

The speaker started by emphasizing on the importance of data and data security, the use of cookies in browsers and how our data is captured by organizations to target their audience and potential customers. He further elaborated applications of machine learning, deep learning and AI.
Some examples were how deep learning can be applied in sales and marketing using market basket analysis, predicting when a machine will break down, predicting best routes to save time etc.
Towards the end,he had an interactive case study discussion with the students.

Sentiment Analysis Using NLP

Mohit Tripathi

DATA SCIENCE MANAGER - CONDE NAST TECHNOLOGY LAB

The speaker stressed on the importance of big data, statistics and languages like SQL and PySpark. He also suggested courses with certifications for data scientists and data engineers like : A2-900, DP-100, DP-203, PL-300. He further elaborated the uses of analytics along with cloud computing. He then proceeded to show the students a working of Sentiment Analysis using NLP on Jupyter. Sentiment analysis (also known as opinion mining or emotion AI) is the use of natural language processing, text analysis and computational linguistics to systematically identify, extract, quantify, and study subjective information. Some of the topics mentioned were Stemming, tokenization, part-of-speech tagging and parsing.

Data Analytics in BFSI

Tarun Singh Aswal

CHIEF DATA OFFICER - IDBI Bank

The speaker illuminated the importance of Data Analytics and Science in the field of Banking Financial Services and Insurance. How it is being used in enriching the customer life cycle values in the Banking Industry. He then explained through his presentation about various departments of Banks and how Information Technology is unitized across multiple divisions within the bank. He went on to showcase few applications and examples of Analytics’ such as ML, AI etc. in determining: Credit Risk Assessment, Insurance Validity, Interest Rate Adjustment based on real-time scenarios Customer Relationship Management Solutions.

Data Storytelling

Rajneet Kaur

AVP DATA SCIENCE - eClerx

The speaker emphasized the importance of data storytelling in any organization. She highlighted that stories that incorporate data and analytics are more convincing and compelling. She also shared some very useful tips on how to think creatively and share a good story with data. Some of the key highlights of the session shared by the speaker were-
• Importance of flow, message and making a story interesting
• Structuring a dashboard
• The components of data storytelling
• Visual Encoding