Description:
Artificial Intelligence and Machine Learning are rapidly transforming the financial services industry — from automating routine analysis to uncovering complex market patterns that would be nearly impossible to detect manually. This immersive virtual event is tailored for financial analysts who want to stay ahead of the curve by understanding how AI and ML tools are being used in real-world finance workflows today.
This session provides a practical, non-hype introduction to key AI/ML concepts and showcases their hands-on applications in finance, including algorithmic trading, credit risk modeling, portfolio optimization, fraud detection, and predictive financial forecasting.
You’ll hear from data scientists, quant analysts, and fintech innovators who will demystify machine learning models (e.g., regression, decision trees, clustering, neural networks) and explain how these tools are being used by analysts at top firms. The event also includes a live demo of machine learning in action, using Python or no-code tools to analyze financial data sets — no prior coding experience required.
Whether you're curious about automating Excel tasks, exploring AI-assisted decision making, or evaluating tools like ChatGPT or BloombergGPT, this session is your launchpad into the AI-powered future of finance.
Key Topics Covered:
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What AI and ML mean for financial analysts: Opportunities and limits
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Overview of supervised vs. unsupervised learning in finance
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Common use cases: risk modeling, forecasting, NLP for reports, automation
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Tools overview: Python, Power BI, no-code ML platforms
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Live demo: Building a simple ML model with financial data
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Ethical considerations and compliance risks in using AI
Who Should Attend:
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Financial analysts, FP&A professionals, and quants
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Finance leaders exploring innovation and digital transformation
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Analysts interested in Python, data science, or fintech
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No coding or ML background required — accessible to all levels
Format:
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2-hour virtual session
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Expert panel discussion + live demo
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Downloadable resources: glossary, toolkits, sample scripts
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Optional follow-up: access to an on-demand recording and community group