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AI in Data Validation and Reconciliations - PART 3

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Manage episode 322955514 series 2972291
Content provided by SmartStream. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by SmartStream 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://player.fm/legal.

The dual challenges of increased volumes and complexity mean event lifecycle validation tools need to evolve, to take advantage of AI and machine learning

In Part 3 of this podcast, hosted by the Asian Banking and Finance, Vikram Gupta, ED and Head of Technology, Standard Chartered Bank is joined by Andreas Burner, Chief Innovation Officer and Robin Hasson, Senior Product Manager, SmartStream.

Some of the key topics discussed:

  • The use of AI and machine learning to replace manual operations
  • How predictions are made to establish confidence though a user interface
  • The biggest lessons learnt with the adoption of AI and machine learning in the data quality space
  continue reading

21 episodes

Artwork
iconShare
 
Manage episode 322955514 series 2972291
Content provided by SmartStream. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by SmartStream 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://player.fm/legal.

The dual challenges of increased volumes and complexity mean event lifecycle validation tools need to evolve, to take advantage of AI and machine learning

In Part 3 of this podcast, hosted by the Asian Banking and Finance, Vikram Gupta, ED and Head of Technology, Standard Chartered Bank is joined by Andreas Burner, Chief Innovation Officer and Robin Hasson, Senior Product Manager, SmartStream.

Some of the key topics discussed:

  • The use of AI and machine learning to replace manual operations
  • How predictions are made to establish confidence though a user interface
  • The biggest lessons learnt with the adoption of AI and machine learning in the data quality space
  continue reading

21 episodes

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