Smarter and faster decision-making with all data in one platform
Swedbank · Sweden
Swedbank, the largest bank in Sweden and third-largest in the Nordic countries with more than 7 million customers, migrated its analytics capabilities and application services to a Databricks-driven platform on Microsoft Azure and implemented Immuta as its unified access control plane. Using a risk-based, twofold sourcing approach that kept on-premises scenarios running in parallel during migration, Swedbank centralized markets and share trading, customer analysis, and cybersecurity data on one internal platform, making AI and machine learning available in one click and enabling shorter development cycles and faster fraud/suspicious-behavior detection.
Overview
Swedbank, the largest bank in Sweden and third-largest in the Nordic countries with more than 7 million customers, migrated its analytics capabilities and application services to a Databricks-driven platform on Microsoft Azure and implemented Immuta as its unified access control plane. Using a risk-based, twofold sourcing approach that kept on-premises scenarios running in parallel during migration, Swedbank centralized markets and share trading, customer analysis, and cybersecurity data on one internal platform, making AI and machine learning available in one click and enabling shorter development cycles and faster fraud/suspicious-behavior detection.
This entry has 13 published fields tied to exact passages in an immutable source capture.
Inspect the highlighted sourceThe challenge
Compliance, legal requirements and security are the main challenges banks like Swedbank face in terms of handling data. The biggest challenge, in my opinion, is overall trust in the data collected and the results achieved through analysis of this data. Problems with data quality also remain at the forefront. And there are several other challenges, such as data silos and a lack of organizational maturity to be data driven.
The solution
Swedbank migrated existing capabilities and application services to Databricks' driven analytics platform within the Azure cloud and implemented Immuta as its unified access control plane. The migration strategy was designed with a twofold sourcing approach, meaning we could still have on-premise scenarios continuing in parallel with the data migration to the cloud platform.
Reported business value
Our advanced analytics platform driven by Databricks has made artificial intelligence and machine learning programming languages available in one click through the centralized hub. It has really helped us to increase our productivity. Implementation of machine learning ops using the platform has enabled shorter development cycles, which has resulted in shorter times-to-market. It also has the ability to detect and act on new patterns related to fraud, suspicious behavior, and so on.
Sources
Open any source and check the claim yourself — that is the point of the register.
Other financial services entries in the register.
Banking Innovator bunq Supports Growth, Strengthens Security Using AWS
bunq, a Dutch neobank with over 11 million users across Europe, uses Amazon Bedrock for several generative AI use cases including summarizing new user data with large language models, removing the need for agents to process onboarding documents manually. Using Amazon Bedrock, bunq tripled user support process efficiency while maintaining over 90 percent accuracy. Sensitive data stays within bunq's AWS virtual private cloud, supporting GDPR and PCI DSS compliance alongside tools such as AWS CloudHSM, AWS Security Hub and AWS KMS.
TBC Bank Operationalizes Trusted Data with Lakebase
TBC Bank, the largest banking group in the Caucasus region, built a Lakehouse on Databricks and adopted Lakebase and Databricks Apps to move from on-premises SQL Server instances and month-long reporting cycles to self-service analytics and AI-driven applications, including a web-based AI chatbot and AutoML-based credit risk scoring. Credit risk model deployment fell from 14 weeks to two days, and more than 600 users regularly query governed data through Genie.
ING Bank transforming operations through agentic AI
ING Bank is running multiple AI projects across operations, governed centrally under its COO. Live/early-production efforts include a retail chatbot, AI-driven identification of hidden affluent clients for marketing, AI-assisted transaction monitoring that helps investigators close standard alerts faster and focus on risk, and a customer due diligence (KYC) redesign that uses existing public and behavioural data to auto-answer most of a roughly 100-question review, cutting due diligence from days or weeks to seconds. ING is also developing agentic AI to handle mortgage applications end-to-end (credit checks, data collection) starting in 2026. ING's COO said AI introduced to an operations process yields a 25% productivity gain, with freed capacity redeployed to growth and more complex work, and its CTO described 'conservatively aggressive' governance restricting AI exploration to five areas under COO control.
Hyundai Capital America: Transforming customer experience with messaging innovation
Hyundai Capital America (HCA), the finance arm of Hyundai Motor Group for Hyundai, Kia and Genesis leases and loans in the US, partnered with LivePerson starting from a 2018 proof of concept to shift from a voice-dominated contact center to a data-driven, messaging-first strategy across SMS and Apple Messages for Business. Using deflection-to-messaging on high-friction payment interactions, HCA achieved 94% customer satisfaction, an 89% containment rate, and grew messaging engagement from 10,000 to over 100,000 customers served monthly. HCA and LivePerson co-developed a PCI-compliant chatbot debit card payment integration with payment processor ACI.
Was this helpful?
Your feedback helps us improve our use case database