This paper explores how Google Cloud can revolutionize investment research by focusing on four key areas: data collection, analytics, intensive workloads and ML/model deployment. It highlights the importance of data-driven insights in the investment industry and how Google Cloud tools such as BigQuery, Compute Engine and AI Platform can provide scalable, efficient solutions. From data ingestion to advanced analytics, this paper demonstrates how these technologies can reshape investment strategies, deliver valuable insights and improve performance.

What will you learn when you read this document?

• How Google Cloud's data collection and analysis tools can transform your investment research process
• What are burst compute workloads and how can they improve your portfolio simulations and risk calculations?
• How Google Cloud ML and model deployment can provide deeper insights into market trends and correlations
• How does Google Cloud integrate with existing tools like Apache Spark, Dask, and Kubernetes to provide scalable and efficient solutions?
• How can you leverage Google Cloud's BigQuery, Compute Engine, and AI Platform to build a powerful, data-driven investment strategy?