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Machine Learning is transforming Post-Trade Operations

The back office is key to unlocking the next generation of cost savings and efficiencies. Yet traditional cost levers are struggling to deliver. Machine learning is defining a new approach in post-trade operations, realising unprecedented efficiency and enabling the Zero-Ops vision.

How Machine Learning is Enabling New Cost Levers in Post-Trade Operations

Banking operations and transformation leaders should download this asset to learn:

  • Why outsourcing, process excellence, workflow and RPA have struggled as cost levers
  • How machine learning can be used to cut 22% of operating costs
  • How a large European bank used NLP to drive major efficiencies from communications data
  • The latest insights from authors Martin Swanson, Enterprise Architect at UBS, and Re:infer Co-founder and CEO Dr. Ed Challis