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.
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