Algorithmic Business Models, High Frequency Trading and eCommerce

All for profit business buy and/or sell a product or service. This is also true for financial markets; however, the archaic language used in finance (uncovered warrant, Asian tail call, etc.) can make it hard to compare with other (non-financial) markets. This is unfortunate as the seismic shifts in competitive advantage between traditional banks and exchanges viz a vis the new market entrants the past 20-30 years holds important lessons for management in non-financial markets. This talk will present in brief (and plain language) how the concept of the algorithmic business model radically transformed financial markets, created vast amounts of money to the few initiated, and the important lessons of why some banks failed and some still exist.

• What is the algorithmic business model?
• How did it change the financial trading industry?
• How did it impact traditional banks and exchanges?
• What can other industries such as eCommerce learn from this experience and how should they best prepare and act today?

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Bjorn Hertzberg – Founder | Algorete

Björn is a Data Scientist with 20+ years of industry experience and 10+ years of leading data and AI transformations at companies such as Nasdaq and H&M. He is currently an industry advisory in the area of Data Science and AI – specializing in bridging the gap between conceptual and commercial value. Björn’s work spans Statistics, Machine Learning, Deep Learning, Algorithms and Product & Organizational Development. Past projects include, Recommendation Systems, Deep Learning, Reinforcement Learning, High Frequency Trading, Systematic Investment, Option Pricing and Risk Management.