Description

Date: 8th April 2023

Time: 10 AM to 1 APM

 

Agenda

Generative AI is a game-changing technology, and now is the time to take maximum advantage of it. In our previous workshop, we introduced Generative AI and helped attendees learn how to implement its models in real-world problems. This time, we’re going deeper and presenting how to utilize Generative AI at the enterprise level. 

In this workshop, we will build industry-relevant use cases and generate high-level data to train advanced AI models that can solve complex business problems like customer analytics, personalized marketing, fraud detection, risk management, and more. Finally, we will use Generative AI models for underwriting and other documentation purposes. Overall, This workshop will demonstrate how Generative AI can solve complex business problems more accurately and with less effort.

 

Learning Outcomes

• Knowledge of developing business-relevant solutions using Generative AI at the application level
• In-depth understanding of applying Generative AI models to solve complex business problems
• Exposure to implementing Generative AI models at the enterprise level for the tasks such as training data generation, customer-based predictions, underwriting, etc.

 

Workshop Outline

• Introduction and Overviews
  • Generative AI business use cases in BFSI, retail and CPG. 
  • Building a use case to be solved during the workshop

• Data generation for model training
  • Finding relevant data using Generative AI based on the use case
  • Generating required data to train machine learning model
  • Training the predictive models using synthetic data
  • Finding actionable results such as customer segmentation, fraud detection, risk management, etc. 

• Personalized offers and recommendations
  • Building advanced recommendation model
  • Making personalized recommendations and offers to customers
  • Optimizing the marketing plan

• Underwriting and documentation
  • Utilizing the insights and results from the models and preparing documents
  • Creating analytics reports including customers, sales, revenue, etc.
  • Generative AI for marketing communications

 

Prerequisite

• Basic understanding of Generative AI, artificial intelligence, machine learning and deep learning.
• Good knowledge of Mathematics and Python programming language.
• Familiarity with Jupyter/Colab Notebook environment.

 

Requirements

• Jupyter Notebook / Google Colab
• High-Speed Internet connectivity

 

Instructors

Dr. Vaibhav Kumar

Senior Director, Association of Data Scientists (ADaSci)

Dr. Vaibhav Kumar is a seasoned data science professional with great exposure to machine learning and deep learning. He has good exposure to research, where he has published several research papers in reputed international journals and presented papers at reputed international conferences. He has worked across industry and academia and has led many research and development projects in AI and machine learning. Along with his current role, he has also been associated with many reputed research labs and universities where he contributes as visiting researcher and professor.

Sourabh Mehta

Data Scientist, Analytics India Magazine

Sourabh is a data scientist with a passion for utilizing data-driven insights to solve complex business problems, and having over 5 years of experience in the field. He is specialized in utilizing. His experience extends to working with diverse industries such as telecom and e-commerce, utilizing tools such as Tableau, TensorFlow, PyTorch, Keras, and Scikit-learn to build predictive models and communicate insights to non-technical audiences. Sourabh has strong problem-solving skills, excellent communication abilities, and an eagerness to learn and grow, making them valuable assets to any team.

 

Participation Certificate

• Participants will get the certificate on request.