Big Data
RavenPack | October 08, 2018
In this panel, we discuss how financial institutions can ensure that the potential of Big Data is actually realized by: 1) leveraging the breadth, volume, and timeliness of available data; 2) developing machine intelligence that is continuously learning and improving; and 3) understanding the economics that make a data strategy work. Watch the highlights below, you can request access to the full video.
Today, most financial institutions are working hard to adopt a data-driven approach. Although many asset management firms, banks and hedge funds are beginning to disrupt their analytics landscapes by gathering immense volumes of data assets, these companies are at varying levels of Big Data maturity.
Moderator: Tim Harrington, CEO, BattleFin Group
Panelists:
This session was held at the RavenPack Research Symposium held in New York on September 12, 2018 .
Please use your business email. If you don't have one, please email us at info@ravenpack.com.
We will process your personal data with the purpose of managing your personal account on RavenPack and offering our services. You can exercise your rights of access, rectification, erasure, restriction of processing, data portability and objection by emailing us at privacy@ravenpack.com. For more information, you can check out our Privacy Policy.
Your request has been recorded and a team member will be in touch soon.
We consider incorporating sentiment signals from news, earnings call transcripts, and insider transactions to boost the risk-adjusted returns, and revive factor performance.
We find stronger, more predictable market reactions when the words of company executives agree with their actions.
We have gathered 12 insights from 2021 research that can be leveraged in 2022.