Historically, many decisions taken by traders have relied on subjective expertise, which is influenced by individual bias and emotion. Today, data eliminates that problem, offering more transparency in trading decisions.
Artificial intelligence (AI) and machine learning (ML) are transforming the e-trading landscape in capital markets. The availability, consistency, and consumption of high-quality data are the foundation of any AI/ML model. But what challenges do these big data themes bring to the industry?
In the past 60 years, information technology has evolved on a one decade- long innovation cycle. A new cycle has started, which is centered around Data and Artificial Intelligence / Machine Learning and is forcefully gaining momentum.