Artificial Intelligence: Next Big Thing in Trading?

The video discusses the evolution of quantitative trading, highlighting the inception of conferences that brought together investors, quantitative managers, and academics. It explores the global expansion of these events and the increasing prominence of quants, especially with the rise of AI and machine learning. The importance of data in driving quantitative strategies is emphasized, along with the shift from structured to unstructured data. The video also covers advancements in algorithmic trading, the role of AI, and challenges related to data veracity, particularly in the context of China.

What was the main focus of the conference discussed in the text?

How did the speaker describe the evolution of trading strategies over the years?

What role does data play in quantitative trading according to the text?

What are the differences between machine learning and deep learning as mentioned in the text?

What challenges do quantitative managers face in the current marketplace?

How has the perception of quants changed over the years according to the speaker?

What is the significance of volatility in trading as discussed in the text?