Ethical use of AI, big data & analytics in financial services
On-demand virtual roundtable
Ethical use of AI, big data & analytics in financial services
Artificial Intelligence (AI), big data, machine learning and advanced analytics are now core to the way financial services firms operate. But as levels of sophistication rise, companies must balance the opportunities presented by customer data with greater compliance and ethics.
Unlike few other industries, financial services are critical to our everyday lives. As custodians of our data, financial institutions must therefore continue to operate in an ethical way - using data fairly to create better outcomes for all customers.
In this virtual roundtable, our expert panel explored how you can embed an ethical data framework within your organisation, as well as how to balance the opportunities presented by customer data with greater compliance. We covered:
- What AI & big data ethics means in financial services
- How to incorporate ethical principles into your organisation
- What a robust ethical data framework looks like
- How technology can support the implementation of your framework
- How your business can generate value for yourself and your end customers
Watch on-demand
Our panellists
Nirvana Farhadi
Nirvana has advised on many regulatory initiatives and studies and holds numerous Board positions and is currently working with businesses on topics such as AI, ML, Blockchain, IoT and Cloud. She sits on the board of four RegTech start-ups across Financial Services, Healthcare and Real Estate.
Beatriz Sanz Saiz
During her career, she has also held senior positions with leading companies in financial services, where she was responsible for establishing analytics and innovation as core competencies. Beatriz serves as professor at IE Business School at the International Masters of Big Data & Analytics.
Tom Hedley
Prior to joining Ciklum, Tom founded two London based startups, and helped global venture capital & FMCG brands build new ventures, products & technologies.