Speakers:
AI Guided Domain-Specific Topic Modeling
Date:
Thursday, June 6, 2024
Time:
3:55 pm
Room:
Phoenix Ballroom A
Summary:
A case study will be presented which describes a process for identifying relevant topics to a customer in a specific domain based on a corpus of user comments. We will review in detail how the process is created, how the customer interacts with the process to curate their own labeled data, and how that data is used for downstream analysis and modeling tasks. We will describe how we monitor the results for accuracy and how we manage changes over time. We will show how this process is domain agnostic and easily repeatable.
Speakers:
Identifying Insights and Trends in Regulatory Filings
Date:
Thursday, June 6, 2024
Time:
4:20 pm
Summary:
Regulatory filings from public companies contain a wealth of valuable information, but extracting meaningful insights can be a daunting task due to data quality issues and the sheer volume and complexity of the data. In this session, we will explore how data science techniques can be leveraged to unlock the insights buried within regulatory filings. Through case studies in Financial Services and Utilities, learn how data science techniques help to identify risks, detect anomalies, and extract key themes, sentiment, and competitive intelligence from filings’ narrative sections using NLP. Gain understanding of the end-to-end process from data preprocessing to model deployment. Best practices for interpreting results, communicating findings, and ethical considerations with sensitive financial data will also be covered.