FactSet and Data Robot team up for new service
Wednesday, August 7, 2019
DataRobot on FactSet is an automated machine learning tool that helps financial services organizations – even those without extensive data science operations – incorporate AI into their…
FactSet, provider of integrated financial information and analytical applications, and DataRobot, enterprise AI provider, has announced the launch of DataRobot’s first AI investment workflow, DataRobot on FactSet.
DataRobot on FactSet is an automated machine learning tool that helps financial services organizations – even those without extensive data science operations – incorporate AI into their investment workflows.
The new product integrates advanced automated machine learning technology from DataRobot into the FactSet workstation, allowing clients to build, deploy, monitor, and manage sophisticated machine learning models quickly and easily.
Clients can use the tool to create predictive, automated AI applications for factors such as equity volatility, bond performance, and macroeconomic event predictions. The technology will scale AI- and data-driven investment strategies with support from DataRobot’s world-class data science professionals.
“Clients are looking for more effective data and AI tools that will help them surface new investment insights faster and with greater efficiency,” said Rob Robie, Executive Vice President, Analytics, FactSet.
“We are excited to be working with DataRobot to provide an elegant and intuitive solution that allows users to develop and execute successful machine learning strategies.”
DataRobot on FactSet allows clients to use their existing workflows and data within FactSet’s platform alongside hundreds of powerful machine learning algorithms. It provides the guardrails required for those without data science expertise to build and deploy advanced machine learning models so even novice users with domain expertise can extract value.
For companies that have existing data science teams in place, DataRobot on FactSet will boost productivity by increasing the speed and scale of their financial models, helping teams move from data to prediction faster.
Rob Hegarty, GM of Financial Markets and Fintech, DataRobot said “There is an unprecedented opportunity for investment professionals to capitalize on their data, and now is the time to adopt robust AI and machine learning capabilities.
“We’re excited to work with FactSet on this dynamic integration which will help more organizations make data-driven decisions and realize the true value of AI.”