New Way Now: Banco BV transforms banking brick-by-brick by migrating from Databricks to Google Cloud
27Featured in this video: Alberto Campos, CTO, Banco BV
Executive summary: Banco BV, one of Brazil's largest banks, faced the challenge of scaling its data infrastructure to meet increasing customer demands while maintaining security. To address this, Banco BV migrated its data infrastructure from Databricks to Google Cloud, including adopting BigQuery and Vertex AI. This migration allowed them to centralize data management, process more data, and accelerate machine learning and AI model testing. As a result, Banco BV can now build more powerful AI models faster, deliver new products to customers sooner, and provide more personalized experiences, all while enhancing data governance and security.
Challenge: As one of the largest banks in Brazil, Banco BV offers banking, credit cards, loans, and other financial services to millions of individual and enterprise customers. Keeping up with evolving customer demands requires rapid development processes and regular product updates, but this increased speed can’t come at the cost of security. The bank needed a cloud provider that could help it scale its data infrastructure, so it could better collect, analyze, and act on customer data that also had built-in governance controls to keep that data safe.
Solution: Banco BV decided to migrate its data infrastructure from Databricks to Google Cloud. It’s adopted BigQuery and Vertex AI to centralize its data management in a single platform, ingest and process more data, and test more machine learning and AI models quickly. The team sees new opportunities to use this data to make its existing services more consistent and better tailored to its customers’ needs. Even as it grows, the company also feels more secure in managing its governance policies with Google Cloud, ensuring its invaluable datasets are safe.
Result: Since adopting Google Cloud, the company has equipped its team to build more powerful AI models with much larger datasets at double the pace of their previous smaller solution. Centralizing data — and the actions the team can take based on that information — means Banco BV can deliver new products to its customers sooner. It can also use the insights it’s gathered from customers to build better, more personalized customer experiences.
Highlights and key takeaways from our interview with Alberto Campos, CTO at Banco BV:
→ “The first step is the migration of Databricks to Google Cloud platform. We are trying to have much more data and qualified data in this new environment as our team is ready to run new models. We think we can improve our governance standards and move more than 100% faster.”
→ “By centralizing all the data and using Vertex and BigQuery tools, we can take advantage and be much faster in launching products and getting to know our customers.”
→ “We can better understand our customers and launch new products for them. For example, we’re using AI to contact customers and running credit models faster than before.”
→ “Google has helped us a lot in providing our customers with good services and good products. We believe that with these products, we can be ahead of the Brazilian market by providing quality services, consistent services, especially with governance, something that's very important in Brazil.”
Google Cloud products used: Gemini, BigQuery, Vertex AI