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Content provided by Mark Fleming-Williams. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Mark Fleming-Williams or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
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The AiLiftOff Episode

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Manage episode 349486434 series 3276452
Content provided by Mark Fleming-Williams. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Mark Fleming-Williams or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In this episode I speak to Tjeerd van Cappelle of AiLiftOff, the brand new provider of alternative data solutions with the first being Spoiler, which uses Natural Language Understanding with earnings statements to predict future surprises.


In our conversation, Tjeerd and I talk through the logistics around leaving NNIP and creating a new data provider, and Spoiler’s characteristics.


If you have a dataset that might be of interest for the podcast, please get in touch.


DISCLAIMER

This podcast is an edited recording of an interview with Tjeerd van Cappelle recorded in September 2022. The views and opinions expressed in this interview are those of Tjeerd van Cappelle and Mark Fleming-Williams and do not necessarily reflect the official policy or position of either CFM or any of its affiliates. The information provided herein is general information only and does not constitute investment or other advice. Any statements regarding market events, future events or other similar statements constitute only subjective views, are based upon expectations or beliefs, involve inherent risks and uncertainties and should therefore not be relied on. Future evidence and actual results could differ materially from those set forth, contemplated by or underlying these statements. In light of these risks and uncertainties, there can be no assurance that these statements are or will prove to be accurate or complete in any way.


Hosted on Acast. See acast.com/privacy for more information.

  continue reading

146 episodes

Artwork
iconShare
 
Manage episode 349486434 series 3276452
Content provided by Mark Fleming-Williams. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Mark Fleming-Williams or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In this episode I speak to Tjeerd van Cappelle of AiLiftOff, the brand new provider of alternative data solutions with the first being Spoiler, which uses Natural Language Understanding with earnings statements to predict future surprises.


In our conversation, Tjeerd and I talk through the logistics around leaving NNIP and creating a new data provider, and Spoiler’s characteristics.


If you have a dataset that might be of interest for the podcast, please get in touch.


DISCLAIMER

This podcast is an edited recording of an interview with Tjeerd van Cappelle recorded in September 2022. The views and opinions expressed in this interview are those of Tjeerd van Cappelle and Mark Fleming-Williams and do not necessarily reflect the official policy or position of either CFM or any of its affiliates. The information provided herein is general information only and does not constitute investment or other advice. Any statements regarding market events, future events or other similar statements constitute only subjective views, are based upon expectations or beliefs, involve inherent risks and uncertainties and should therefore not be relied on. Future evidence and actual results could differ materially from those set forth, contemplated by or underlying these statements. In light of these risks and uncertainties, there can be no assurance that these statements are or will prove to be accurate or complete in any way.


Hosted on Acast. See acast.com/privacy for more information.

  continue reading

146 episodes

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