Machine Learning and AI for Financial Professionals
Thought Leadership Webinar: Join us for this high-level overview of ML and AI for Financial Professionals. This webinar will provide a look inside our newest, 8-week interactive online series, "Foundations of ML & AI for Financial Professionals," starting in March 2020 - a partnership with QuantUniversity. This webinar is COMPLIMENTARY FOR ALL ATTENDEES!
Presented By:
Sri Krishnamurthy, CFA, CAP
Founder, QuantUniversity.com
Date:
February 5, 2020
Time:
10:00 a.m. - 11:00 a.m. EST
3:00 p.m. - 4:00 p.m. GMT
Session Length:
60 minutes
This webinar will provide a look inside our newest, 8-week interactive online series, "Foundations of ML & AI for Financial Professionals," starting in March 2020 - a partnership with QuantUniversity.
The use of Data Science and Machine learning in the investment industry is increasing, and investment professionals, both fundamental and quantitative, are taking notice. Financial firms are taking AI and machine learning seriously to augment traditional investment decision making. Alternative data sets including text analytics, cloud computing, and algorithmic trading are game changers for many firms who are adopting technology at a rapid pace. As more and more technologies penetrate enterprises, financial professionals are enthusiastic about the upcoming revolution and are looking for direction and education on data science and machine learning topics.
In this webinar, we aim to bring clarity to how AI and machine learning is revolutionizing financial services. We will introduce key concepts and through examples and case studies, we will illustrate the role of machine learning, data science techniques, and AI in the investment industry. At the end of this webinar, participants will see a concrete picture of how machine learning and AI techniques are fueling the Fintech wave!
Agenda
Part 1: We will discuss key trends in AI and machine learning in the financial services industry. We will discuss the key use cases, challenges, and best practices of using AI and ML techniques in financial services. We will also discuss key players and drivers for the AI and Machine learning revolution.
Part 2: We will illustrate a case study where AI and machine learning techniques are applied in financial services.
Case Study
Sentiment Analysis Using Natural Language Processing in Finance
In this case study, we will demonstrate the use of Natural Language Processing techniques to analyze EDGAR call earnings transcripts that could be used to generate sentiment analysis scores using the Amazon Comprehend, IBM Watson, Google, and Azure APIs. We will illustrate how these scores can be used to augment traditional quantitative research and for trading decisions.
| About Our Expert |
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Sri Krishnamurthy, CFA, CAP is the founder of QuantUniversity.com, a data and Quantitative Analysis Company, and the creator of the Analytics Certificate program and Fintech Certificate program. Sri has more than 15 years of experience in analytics, quantitative analysis, statistical modeling and designing large-scale applications. Prior to starting QuantUniversity, Sri worked at Citigroup, Endeca, MathWorks, and with more than 25 customers in the financial services and energy industries. He has trained more than 1000 students in quantitative methods, analytics, and big data in the industry and at Babson College, Northeastern University, and Hult International Business School.
Sri earned an MS in Computer Systems Engineering and another MS in Computer Science, both from Northeastern University and an MBA with a focus on Investments from Babson College.
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Registration |
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Sustaining, Corporate, and RIM Members |
$ complimentary |
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Contributing Member |
$ complimentary |
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Non Member |
$ complimentary |
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