Fabrizio Burlando, Global Head of Advisors Consulting and Digital Labs at Mastercard, discusses the impact of generative AI in the financial services sector, exploring the differences between traditional and probabilistic AI systems. The use of aggregate data in fraud protection and unauthorized device access is also covered. The podcast highlights the opportunities and challenges of democratizing AI in the financial services industry, as well as the distinctions between first and second generation AI technologies.
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Quick takeaways
Generative AI has transformed the financial services sector by analyzing vast amounts of data and providing insights based on probabilistic models.
MasterCard prioritizes data security, privacy, and transparency to ensure ethical AI applications and has invested in tools like Truata to protect privacy while deriving valuable insights from consumer data.
Deep dives
The Evolution of AI: From Rule-Based to Generative AI
Artificial intelligence has been around for decades, starting with rule-based AI. However, the emergence of generative AI, which can train itself on large data sets and develop its own rules, has been a game changer. This new AI has the ability to analyze vast amounts of data and provide insights based on probabilistic models. While it offers great potential, there is a need to understand that generative AI is based on statistical models and may not provide a binary truth. Therefore, it requires careful monitoring and validation. The financial services sector is experiencing the democratization of AI, with companies striving to integrate AI into their operations in a responsible and ethical manner by considering data security, privacy, and transparency.
Data Ownership and Responsibility in the AI Era
Data ownership and responsibility are key considerations in the AI era. MasterCard believes that consumers should own their data, and if they choose to benefit from it, they should have the opportunity to do so. To ensure ethical AI applications, MasterCard follows data responsibility principles, including data security, privacy, and transparency. They have invested in advanced tools such as Truata, which de-identifies and aggregates consumer data to protect privacy while allowing valuable insights to be derived. By leveraging aggregate data, MasterCard can provide fraud protection, support decision-making, and offer personalized experiences to customers.
The Role of AI in Financial Services and Beyond
AI has diverse applications in the financial services sector. Automating repetitive tasks, such as card applications, using technologies like character recognition and image processing, has significantly reduced processing times. AI also plays a crucial role in fraud detection, anti-money laundering, and customer value management. Additionally, generative AI enables hyper-personalization in marketing and customer interactions. With the democratization of AI, companies need to carefully assess the specific problems they want to solve and determine whether deterministic or generative AI solutions are more suitable. The future holds promising advancements in digital humans and immersive experiences driven by AI technology.
Today’s guest is Fabrizio Burlando, Global Head of Advisors Consulting and Digital Labs at Mastercard. Previous to Mastercard, Fabrizio also served as a project leader at Boston Consulting Group and as a Senior Consultant for the United Nations. He joins us on today’s program to talk about the current new wave of generative AI tools, their impact on the financial services sector and how SMBs stand to benefit from a blossoming market for microservices emerging in their wake. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!
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