While the digital economy grows stronger each year and new tech innovations emerge, the risks associated with private and commercial data are catching up as well. However, AI-powered technologies serve as an unrivaled tool for detecting and mitigating risks in today’s data-intensive environment.

Applications :

  • Modelling Established Risk (Credit, Market, Treasury etc)
  • Cyber Security Risk
  • Environmental Social Governance (ESG)
  • Lack of Quality Data
  • ML/ AI/ Emerging Tech
  • Non-Financial Risk (NFR)

Market : The treasury and risk management market size is expected to grow from $4.73 billion in 2021 to $7.15 billion by 2028; it is estimated to grow at a CAGR of 6.1% during 2021–2028.

Challenges :

  • Data quality
  • Stress testing
  • Environmental Social Governance (ESG)
  • Early warning systems