"AI Governance in the Cloud Era: Ensuring Responsible Innovation in Financial Services" - Powered by SoftServe

 

In this presentation, SoftServe focuses on AI governance in the financial services industry, emphasising the importance of responsible innovation.

 

Key highlights

 

Risk and Regulatory Considerations:

  • Importance of quantifying information for legal and ethical AI use.
  • Avoiding regulatory fines through structured, positive outcomes.

Data Protection and Security:

  • Protecting sensitive data and ensuring proper usage.
  • Adoption patterns in the market for controlling data and user interactions.

Use Cases for AI:

  • Integrating apps for better control and flexibility.
  • Enriching data and its powerful applications.
  • Training data internally and its associated high risk and regulatory consequences.

AI Policy Enforcement:

  • Challenges in enforcing AI policies from an organisational perspective.
  • User-led training and compliance with internal material and strategies.

Scalability and Monitoring:

  • Need for scalable infrastructure to handle increasing data as AI and collaboration grow.
  • Implementation of monitoring and observability to manage regulatory exposure.

Governance and Automation:

  • Effective governance in cloud environments to reduce costs.
  • Integration of governance with cloud operations and automation of policies and risk functions.

 

Conclusion

Navigating AI governance in the cloud era necessitates a multifaceted approach, focusing on data security, privacy, risk management, regulatory compliance, and effective automation strategies.

 

Speaker:

  • Wells Vaughan, CTO, Financial Services APAC, SoftServe APAC

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