45 min
Challenging AI Assumptions in Forecasting: Navigating Human Insight and the ML Conundrum Fintech Corner
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- Business
Forecasting in finance has always stirred debate, with a plethora of perspectives on its methodologies and criteria for accuracy. The emergence of AI and machine learning has only added more complexity to an already complex subject. Can these technologies be relied upon to produce dependable and insightful forecasts? And if so, how can finance professionals optimize their utilization to maximize value?
In this episode of Fintech Corner JD chats with Yannis Katsaros, Software Engineer at Trovata. Together, they delve into the complexities of uncertainty in forecasting and outline key steps to establish a reliable, balanced approach to leveraging machine learning.
In this episode you’ll learn:
Insights from Yannis’s experiences in data forecasting models across various industries including Finance, Energy, Oil & Gas, and Retail
The importance of understanding uncertainty at each stage of the forecasting pipeline
Practical insights for evaluating forecasting models and how this may differ based on the number of data points an organization has access to
How to effectively compare predicted outcomes with observed data for accuracy and reliability in decision-making
The critical role of human expertise in validating algorithms for forecasting
Never be out of the loop on what’s going on in finance, tech, and business. Subscribe to our podcast here.
Trovata.io empowers everyone to analyze, report, forecast, move – manage cash like a pro – no matter who your business banks with. Save time, ensure data accuracy, and drive smarter decisions with access to your data across multiple banks and accounts. Learn more about Trovata at https://bit.ly/3JXHbcC.
Speakers:
About Joseph “JD” Drambarean
JD is Trovata’s Chief Product Officer. Previously, he served as a Director of Strategy with the mobile app design firm, Punchkick Interactive. There, he was responsible for developing roadmaps and executing global product launches for brands like Marriott International, Allstate Insurance, and Harley-Davidson. He later served as a Senior Manager in Capital One’s Digital Product Management team. Joseph is a Chicago native, and graduated with a BA in Political Science & Economics from Loyola University of Chicago.
Connect with JD on Linkedin: https://www.linkedin.com/in/jdrambarean
About Yannis Katsaros
Yannis is a Software Engineer at Trovata, primarily working on data and platform engineering. Before working at Trovata, he worked in software engineering, data engineering, and data science roles for companies across various industries including Finance, Energy, Oil & Gas, and Retail. At Trovata he is part of the team responsible for the data platform and API’s that power Trovata’s application, and is focused on leading efforts to continue improving the scalability, reliability, and speed of the platform. Yannis has a Bachelors of Science in Petroleum Engineering from the University of Tulsa, and. Masters of Science in Data Science from Johns Hopkins University.
Connect with Yannis on Linkedin: https://www.linkedin.com/in/yanniskatsaros/
Forecasting in finance has always stirred debate, with a plethora of perspectives on its methodologies and criteria for accuracy. The emergence of AI and machine learning has only added more complexity to an already complex subject. Can these technologies be relied upon to produce dependable and insightful forecasts? And if so, how can finance professionals optimize their utilization to maximize value?
In this episode of Fintech Corner JD chats with Yannis Katsaros, Software Engineer at Trovata. Together, they delve into the complexities of uncertainty in forecasting and outline key steps to establish a reliable, balanced approach to leveraging machine learning.
In this episode you’ll learn:
Insights from Yannis’s experiences in data forecasting models across various industries including Finance, Energy, Oil & Gas, and Retail
The importance of understanding uncertainty at each stage of the forecasting pipeline
Practical insights for evaluating forecasting models and how this may differ based on the number of data points an organization has access to
How to effectively compare predicted outcomes with observed data for accuracy and reliability in decision-making
The critical role of human expertise in validating algorithms for forecasting
Never be out of the loop on what’s going on in finance, tech, and business. Subscribe to our podcast here.
Trovata.io empowers everyone to analyze, report, forecast, move – manage cash like a pro – no matter who your business banks with. Save time, ensure data accuracy, and drive smarter decisions with access to your data across multiple banks and accounts. Learn more about Trovata at https://bit.ly/3JXHbcC.
Speakers:
About Joseph “JD” Drambarean
JD is Trovata’s Chief Product Officer. Previously, he served as a Director of Strategy with the mobile app design firm, Punchkick Interactive. There, he was responsible for developing roadmaps and executing global product launches for brands like Marriott International, Allstate Insurance, and Harley-Davidson. He later served as a Senior Manager in Capital One’s Digital Product Management team. Joseph is a Chicago native, and graduated with a BA in Political Science & Economics from Loyola University of Chicago.
Connect with JD on Linkedin: https://www.linkedin.com/in/jdrambarean
About Yannis Katsaros
Yannis is a Software Engineer at Trovata, primarily working on data and platform engineering. Before working at Trovata, he worked in software engineering, data engineering, and data science roles for companies across various industries including Finance, Energy, Oil & Gas, and Retail. At Trovata he is part of the team responsible for the data platform and API’s that power Trovata’s application, and is focused on leading efforts to continue improving the scalability, reliability, and speed of the platform. Yannis has a Bachelors of Science in Petroleum Engineering from the University of Tulsa, and. Masters of Science in Data Science from Johns Hopkins University.
Connect with Yannis on Linkedin: https://www.linkedin.com/in/yanniskatsaros/
45 min