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Summary
In today's data-driven world, the ability to structure and enrich data has become crucial for organizations seeking to gain valuable insights, make informed decisions and drive innovation. Join us as we dive deep into the world of structuring data, enrichment techniques and applicable use cases.
Enriching data goes beyond organizing it; it involves enhancing data with additional information, context, and insights to unlock its true potential. We will explore different data enrichment techniques, such as entity linking, topic identification, text classification and sentiment analysis. Learn how to leverage these techniques to improve data quality, accuracy, and completeness.
Key Takeaways:
- Best practices for structuring and enriching data
- Real-world use cases and success stories
- A solid understanding of data structuring, enrichment techniques
- How to be equipped with the knowledge to supercharge your data
Whether you are a data analyst, data scientist, business intelligence professional, or simply interested in leveraging data for informed decision-making, this webinar will provide valuable insights to help you excel in your data journey. Join us and unlock the true potential of your data!
Moderator
Christian Arellano
S&P Global Market Intelligence
Senior Sales Manager – Corporates
Christian Arellano is a dynamic and progressive business leader who puts his people first and creates winning team cultures. He currently leads a Corporates Sales team at S&P Global Market Intelligence selling into the largest technology and professional services firms in the world.
Christian Arellano is a dynamic and progressive business leader who puts his people first and creates winning team cultures. He currently leads a Corporates Sales team at S&P Global Market Intelligence selling into the largest technology and professional services firms in the world. With a strong passion for sales and a deep understanding of customer needs, Christian consistently develops strategic plans and executes effective sales strategies to deliver outstanding results.
Christian has extensive experience working with the financial and technology sectors in the Bay Area and helping clients solve their data problems. He holds a degree from the Haas School of Business, UC Berkeley.
Speakers
S&P Global
Lupe Carino
Kensho Technologies
Product Manager - Kensho
Lupe Carino is a Product Manager at Kensho. She leads the development and productionalization of Kensho applications within S&P's Capital IQ Pro platform as well as Natural Language Processing (NLP) solutions. She has a passion for creating innovative solutions and is responsible for translating complex concepts into user-friendly and market-ready products that address customer needs and drive business growth.
Before joining Kensho, Lupe was an Associate Product Manager at Wayfair where she focused on building products for media asset production and management and was an Analyst at a fashion retail company.
She holds a Bachelor’s degree in Business and Entrepreneurship from Babson College
S&P Global Market Intelligence
Kevin Zacharuk
S&P Global Market Intelligence
Product Manager, Textual Data
Kevin Zacharuk is a Manager of Product Management within the Data, Valuation, Analytics (DVA) group at Market Intelligence. He oversees the management and development of text-based data feeds for machine readable use cases.
Kevin Zacharuk is a Manager of Product Management within the Data, Valuation, Analytics (DVA) group at Market Intelligence. He oversees the management and development of text-based data feeds for machine readable use cases. He is responsible for the growth of our existing textual data feeds as well as uncovering new opportunities to serve quantitative analysts, data scientists, and other users leveraging Natural Language Processing (NLP) in their workflow.Kevin began his career at S&P Global in 2014 working out of our New York City office. He has held a variety of roles in Product Management focusing on feeds since 2018. He is based out of Toronto, Canada.
Kevin holds an HBA from the Ivey School of Business.
Zak Brown
Kensho Technologies
Machine Learning Engineering Manager
Zak Brown, Phd is currently a Machine Learning Engineering Manager at Kensho Technologies, an innovation hub for S&P Global. His career has mainly focused on natural language processing, deep learning, and developing architectures for scaling compute-intensive workloads.
Zak Brown, Phd is currently a Machine Learning Engineering Manager at Kensho Technologies, an innovation hub for S&P Global. His career has mainly focused on natural language processing, deep learning, and developing architectures for scaling compute-intensive workloads. With a deep understanding of language models and advanced AI algorithms, Zak excels in leading and empowering cross-functional teams to deliver cutting-edge NLP products and services. Additionally, Zak is an organizer for both the local RVA Data Science Community Meetup group as well as the RVATech Data Summit.
He holds a Phd in Physics from The College of William & Mary. Outside of work, Zak enjoys spending time with his wife and kids. His hobbies include playing music, being a great armchair movie critic, traveling and physical fitness.
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