From Legacy to Lakehouse: How Mazda Accelerated GenAI for Technical Service Operations

Mazda has successfully accelerated the adoption of GenAI for technical service operations by transitioning from legacy systems to a lakehouse architecture, enabling the company to improve efficiency and reduce costs. This transition has allowed Mazda to leverage large language models (LLMs) and other AI technologies to enhance its technical service operations, resulting in improved customer experiences and increased productivity.

⚡ Key Takeaways

• Mazda's transition to a lakehouse architecture enabled the company to integrate and analyze large amounts of data from various sources, facilitating the adoption of GenAI.
• The use of GenAI in technical service operations has improved Mazda's ability to provide accurate and efficient support to customers, reducing call volumes and increasing first-call resolution rates.
• The lakehouse architecture has also enabled Mazda to develop and deploy AI models more quickly, allowing the company to respond rapidly to changing customer needs and market conditions.

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