The webinar discussed how data analytics holds important keys to business success.
It also covered how, as asset managers move beyond alpha-generating AI/ML use cases and face increasing volumes of disparate data, it can be a challenge to know how to evaluate and kickstart a project in an organization.
Speakers:
- Greg Fritsky, National Director of Robotics, AI and analytics, Eisner Amper
- Michael McGovern, MD, Brown Brothers Harriman
- Ashmita Gupta, Head of Data Analytics, Linedata
Moderator: Victoria Pavlova, Senior Reporter, HFM Global
Webinar discussion points:
- How to understand and access the right data, not big data
- What are the benefits of using AI and ML to get the most value out of your data?
- How can ML and AI deliver data insights that help you boost team output?
- What can be done to maximize internal resources and avoid costly mistakes?
- Build or buy - what AI/ML capabilities and expertise are needed?
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