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How Can You Apply Generative AI?

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In this month’s workshops, you will hear from four inspiring women doing amazing things in the world of Generative AI. The abstracts for this month’s workshops are as follows:

Time Series Data Imputation: Generative Adversarial Networks Approaches by Nagalakshmi H G

Time series data analysis and forecasting is one of the key research areas in many industries. Incorrect or missing data causes a challenge in prediction and forecasting tasks. Hence, it is a necessity to have these portions filled in with most appropriate values in time series. With advancement in deep learning methods, there is an increased need for time series imputation. The traditional methods of imputation had many shortcomings such as – not suitable for large scale datasets, accuracy of results, difficulty in generating complex distributed data. Generative Adversarial Networks (GAN) has been one of the forefront mechanisms used to predict the missing data in areas like computer vision, natural language processing and more recently time series data sets. This session will focus on the imputation techniques for time series data which use the Generative Adversarial Networks (GAN) and compare their performances.

How to Leverage Document AI to Simplify People’s Financial Lives? by Joy Rimchala and Shir Meir Lador

Documents are a principal part of our day-to-day finance management.

Accessing and extracting the data embedded in documents has become one of the most highly sought-after technologies in many sectors, including financial services, real estate, insurance, government, legal, and healthcare.  A central goal shared among these sectors is automating document processing to extract the documents’ fundamental structured information and instantly deliver that information when needed. Documents for which this goal is relevant include financial documents (e.g., receipts, invoices, contracts, mortgage documents, loan applications, purchase orders), government documents (e.g., tax forms, license certificates), among many more.

Manual extraction of information from documents can take 3-5 minutes depending on the amount of key information and the complexity of the document. Without automation, the time-consuming manual work for document-intensive tasks – medical case review, evidence processing, tax preparation, small business accounting, to name a few  – can quickly add up  to hours and hours that could be better spent.

The primary challenge with information extraction from such documents is that the embedded data is stored in disparate formats. For example, a combination of unstructured text, semi-structured content (e.g., multi-column formats, tables, key-value pairs), and graphical content (e.g., figures and vector graphics).

Intelligent understanding and interpretation of data within documents  is a critical and challenging application of artificial intelligence (AI).

In this workshop we will share state-of-the-art of document understanding techniques and how they are evolving in the generative AI era.

Build Your Own AI Chatbot with GPT by Pasasthy K B

In this hands-on workshop, I will guide you into the exciting world of AI chatbot development using the powerful GPT (Generative Pre-trained Transformer) model. Throughout this workshop, I will be your guide, leading you through designing, developing, and deploying your own AI-powered conversational agent.

We will explore the exceptional natural language processing capabilities of OpenAI’s GPT-3.5 Turbo, which has gained recognition as one of the most powerful models available today. Its remarkable text-generation abilities make it an ideal choice for various language-related tasks. However, as developers, we may encounter challenges when incorporating GPT-3.5 Turbo into our workflows, mainly when designing user interfaces.

This workshop is designed to provide comprehensive, step-by-step instructions on how to build your own AI chatbot using the GPT API. I will cover everything from setting up the necessary tools to installing the required libraries. Then, I will delve into the process of creating the chatbot from scratch, ensuring that no crucial details are overlooked.

I strongly recommend following the instructions sequentially without skipping any steps to achieve optimal results. This approach will empower you to harness the full potential of GPT and create an AI chatbot that meets your desired objectives.

Event Program

October 25, 2023


Time Series Data Imputation: Generative Adversarial Networks Approaches

Nagalakshmi H G


How to leverage Document AI to Simplify People’s Financial Lives?

Joy Rimchala

Shir Meir Lador


IBuild Your Own AI Chatbot with GPT

Prasasthy K B

*All times are UTC -7

Workshop Instructors

Nagalakshmi H G

Leader, Software

Joy Rimchala

Principal Data Scientist, Intuit

Shir Meir Lador

Data Science Group Manager, Intuit

Prasasthy K B

Doctoral Researcher, University of Oulu