At Morningstar, we’re leveraging Machine Learning to collect financial data on many different instrument types across global markets. A task that had been executed manually in the past is now becoming highly optimized to deliver scale and quality by leveraging Machine Learning. We’re building a self-sustaining model improvement lifecycle that includes automated continuous feedback collection, retraining and deployment.
Automating Data Collection at Morningstar
Fri. September 18, 2020 @ 15:00 ET

About this Session
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About this Session
Session Resources
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Amazon Web Services (AWS)
AWS is the world’s most comprehensive and broadly adopted cloud platform, offering over 175 fully featured services from datacenters globally. Millions of customers are using AWS to lower costs, become more agile, and innovate faster.

CloudFactory
CloudFactory is a global leader in combining people and technology to provide a workforce in the cloud for machine learning and core business data processing.

Databricks
Databricks is the data and AI company. Thousands of organizations worldwide rely on Databricks’ open and unified platform for data engineering, machine learning and analytics. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to solve the world’s toughest problems.

Maverick Quantum Inc (mavQ)
Maverick Quantum Inc (mavQ) is a low code & artificial intelligence platform that enables organizations with digital transformation while creating valuable insights and outcomes.