Master Class: AI and Machine Learning for Financial Professionals
In partnership with QuantUniversity
Innovations in technology has revolutionized financial services to an extent that large financial institutions like Goldman Sachs are claiming to be technology companies! It is no secret that technological innovations like Data science and AI are changing fundamentally how financial products are created, tested and delivered. While it is exciting to learn about technologies themselves, there is very little guidance available to companies and financial professionals should retool and gear themselves towards the upcoming revolution.
In this master class, we will discuss key innovations in Data Science and AI and connect applications of these novel fields in forecasting and optimization. Through case studies and examples, we will demonstrate why now is the time you should invest to learn about the topics that will reshape the financial services industry of the future!
Topics for the Masterclass:
- Learning Data science in 10 steps
- Advances in Forecasting
- Frontier topics in Optimization
- AI and Machine Learning in Finance
WEBINAR: 11:00 AM - 12:00 PM
Sri Krishnamurthy, CFA, CAP, Founder, QuantUniversity
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. Mr. Krishnamurthy has more than 15 years of experience in analytics, quantitative analysis, statistical modeling and designing large-scale applications. Previously, he has worked at Citigroup, Endeca, MathWorks and with more than 25 customers in the financial services and energy industries. Mr. Krishnamurthy 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. Mr. Krishnamurthy received 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. He is a CFA charterholder.
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.
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.