Mastercard, a global leader in payment technology, has adopted a two-pronged strategy to stay ahead of the curve in the burgeoning field of financial technology (FinTech) artificial intelligence (AI). The company is actively pursuing both internal development and strategic acquisitions to bolster its AI capabilities.

Why AI Matters for FinTech

AI plays a transformative role in FinTech, impacting various aspects of the financial services industry:

• Fraud Detection and Prevention: AI algorithms can analyze vast amounts of data to identify and prevent fraudulent transactions in real-time, enhancing financial security.
• Credit Risk Assessment: AI can analyze customer data to make more accurate creditworthiness assessments, leading to fairer lending practices.
• Personalized Customer Experiences: AI enables FinTech companies to personalize financial products and services based on individual customer needs and preferences.
• Improved Efficiency: AI can automate repetitive tasks, streamline processes, and improve operational efficiency for FinTech businesses.

Mastercard recognizes the immense potential of AI and is actively pursuing a multifaceted approach to capitalize on it.

Building a Strong Foundation: Internal AI Development

Mastercard invests heavily in building its own AI expertise. The company has established dedicated AI research and development teams exploring various applications of AI within the payments landscape. These internal efforts focus on developing solutions tailored to Mastercard’s specific needs and integrating them seamlessly with existing systems.

Ajay Banga, CEO of Mastercard, stated: “AI is revolutionizing the financial services industry, and Mastercard is at the forefront of this transformation. By investing in internal AI development, we ensure that our solutions are designed to address the unique challenges and opportunities faced by our customers and partners.”

Strategic Acquisitions: Expanding Capabilities

Beyond internal development, Mastercard is actively seeking strategic acquisitions to broaden its AI capabilities. This approach allows the company to leverage the expertise and existing solutions of established AI players in the FinTech space.

Recent examples include Mastercard’s acquisition of:

• Applied Predictive Technologies (APT) in 2016: Provided AI-powered fraud detection solutions.
• Decision Management Systems (DMS) in 2017: Offered AI-based risk management tools.

These acquisitions demonstrate Mastercard’s commitment to staying ahead of the curve in AI-powered FinTech solutions.

The Benefits of a Hybrid Approach

Mastercard’s hybrid approach offers several advantages:

• Faster Innovation: Acquisitions allow Mastercard to access cutting-edge AI solutions more quickly than solely relying on internal development.
• Complementary Expertise: External acquisitions bring in fresh perspectives and specialized knowledge, enhancing Mastercard’s overall AI capabilities.
• Long-Term Innovation: Continued internal development ensures a steady pipeline of innovative AI solutions tailored to Mastercard’s specific needs.