ODSC Boston Technology Meetup

To access this webinar, please register here: https://hubs.ly/Q02w8FjS0

Topic: "Accelerating End-to-End Financial Processing and Reporting with Pre-Trained and Custom ML Models"

Speaker: Pablo Vega-Behar, AI / ML Product Owner & Tech Lead at The Fitch Group
Pablo is a data science leader with over ten years of work experience and a passion for applying machine learning and natural language processing to solve real-world problems. He wants to leverage data and analytics to deliver insights, solutions, and value for businesses and customers. Pablo has a PhD in structural engineering, a fellowship in data science, and multiple certifications in AWS, Python, and machine learning.

Abstract:
Speed and accuracy of processing and reporting are paramount in the financial services industry, yet the sector has been slow to fully embrace emerging technologies, such as artificial intelligence, to significantly enhance these processes. Our talk introduces an innovative approach to overcoming these obstacles. At Fitch Group, we leverage the strengths of pre-trained and custom-developed Machine Learning (ML) models. We're developing this end-to-end system to navigate the complexities of financial data and content generation for financial customers effectively.

This talk will discuss our component-based approach that is already delivering business value as we progress towards our long-term goal of establishing an end-to-end processing and content generation pipeline. I will highlight areas where we opted to develop custom ML models, such as processing fundamental financials from reports and tables, and where we've integrated pre-trained LLMs to enhance content generation and expedite analyst research.

Attendees will be introduced to practical applications and case studies demonstrating how our hybrid intelligence approach has significantly enhanced our workflows. This method has streamlined the sourcing, extraction, and analysis of financial data, improved our efficiency in generating comprehensive reports and insights, and will broaden the spectrum of financial insights we can offer. This session is designed to equip financial professionals, data scientists, and technologists with the insights needed to adopt similar strategies, enabling them to streamline their own financial processes and reporting capabilities to align with the demands of contemporary finance.

ODSC Links:
• Get free access to more talks/trainings like this at Ai+ Training platform:
https://hubs.li/H0Zycsf0
• ODSC blog: https://opendatascience.com/
• Facebook: https://www.facebook.com/OPENDATASCI
• Twitter: https://twitter.com/_ODSC & @odsc
• LinkedIn: https://www.linkedin.com/company/open-data-science
• Slack Channel: https://hubs.li/Q02zdcSk0
• Code of conduct: https://odsc.com/code-of-conduct/

This course is free with any paid subscription to Ai+ Training Platform - https://hubs.li/H0Zycsf0

This course will equip you with an understanding of the fundamentals AI agents and their capabilities. you’ll explore what AI agents are, how they work, and their real-world applications through hands-on notebooks to build practical, real-world skills. If you are a novice to AI agents or seeking a better understanding of how this technology will impact your work, this is the course for you.

Instructor's bio: Sheamus McGovern, Founder and Engineer | ODSC

Sheamus McGovern is the founder of ODSC (The Open Data Science Conference). He is also a software architect, data engineer, and AI expert. He started his career in finance by building stock and bond trading systems and risk assessment platforms and has worked for numerous financial institutions and quant hedge funds. Over the last decade, Sheamus has consulted with dozens of companies and startups to build leading-edge data-driven applications in finance, healthcare, eCommerce, and venture capital. He holds degrees from Northeastern University, Boston University, Harvard University, and a CQF in Quantitative Finance.

ODSC Links:
• Get free access to more talks/trainings like this at Ai+ Training platform:
https://hubs.li/H0Zycsf0
• ODSC blog: https://opendatascience.com/
• Facebook: https://www.facebook.com/OPENDATASCI
• Twitter: https://twitter.com/_ODSC & @odsc
• LinkedIn: https://www.linkedin.com/company/open-data-science
• Slack Channel: https://hubs.li/Q02zdcSk0
• Code of conduct: https://odsc.com/code-of-conduct/