DenizBank now uses Red Hat OpenShift AI, cutting project launch times from days to just 10 minutes and enabling faster AI innovation in financial services.
Red Hat, the world’s leading provider of open source solutions, announced it has collaborated with DenizBank, a leading private Turkish bank, on its workflow transformation to incorporate AI into daily practice. DenizBank created a model development environment driven by Red Hat OpenShift AI, a platform for managing the AI and machine learning (ML) lifecycle across on-premise and public cloud environments. After adopting Red Hat OpenShift AI, DenizBank was able to scale its self-service capabilities and capacity, resulting in improved operational efficiency, fundamentally changing how the organization’s operational workflows through AI. DenizBank, Turkey’s fifth largest private bank with nearly 15,000 employees, provides corporate and retail banking, investment brokerage, agricultural banking, SME banking, investment brokerage, financial leasing and insurance services as well as software development, innovation and entrepreneurship through its subsidiaries Intertech and NEOHUB.
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Setting out to transform the organization through AI, DenizBank’s IT subsidiary, Intertech, launched a new AI-supported platform transformation program. Some 120 data scientists working across risk management, marketing and customer relations at DenizBank rely upon Intertech to ensure the reliability and stability of their environments, and were faced with lagging speeds which hindered the progress of current and new projects. DenizBank sought a solution to overcome this challenge, aiming to boost productivity of its data scientists and optimize their bandwidth for high-value tasks, while simultaneously standardizing quality control and speeding up deployment.
Having adopted Red Hat OpenShift in 2023, DenizBank chose to integrate Red Hat OpenShift AI into their workflows to build a robust AI foundation to automate and standardize data science pipelines, develop self-service capabilities, scale model serving and increase operational efficiency across the organization, empowering its data scientists in the process. With the help of Red Hat Consulting, Intertech was able to build a comprehensive, standardized solution that improved time-to-market of new projects while delivering AI/ML cost savings. Intertech also adapted its AI solution to existing DevOps and GitOps best practices to better suit DenizBank’s needs.
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With the new AI-driven platform, DenizBank’s data scientists can save hours on selecting and validating data for model training, fine-tuning and validation. The self-service capabilities provided by Red Hat OpenShift AI allows them to build tailored AI model development environments with plug-and-play functionality when connecting a data source.
As well as enabling its data scientists in using both generative AI (gen AI) and predictive models with ease, DenizBank achieved a significant reduction in time-to-market for new microservices models from several days to just 10 minutes. In addition, integration with hardware accelerator dashboards optimize GPU usage, with Red Hat OpenShift AI automatically scaling up the slices of GPU a model has access to, as needed. This maximizes resource utilization, increases flexibility and allows for more workloads to run simultaneously without the need for additional GPU hardware.
By choosing Red Hat for its open source AI platform, DenizBank was able to drive direct business impact through:
- Enhancing prediction models to help make better determinations on customer qualifications for credit loans
- Improving fraud prevention to more quickly identify potentially problematic financial patterns
- Reducing time-to-market of microservices from several days to 10 minutes.
Having established company-specific standards and pipeline automations, DenizBank’s focus is now squarely on migrating all data scientists and their models to Red Hat OpenShift AI. Future priorities also include improving compute resource utilization (CPUs, GPUs and memory) and model inferencing capabilities and speed with the help of Red Hat AI.
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Red Hat’s vision: Any model, any accelerator, any cloud.
The future of AI must be defined by limitless opportunity, not constrained by infrastructure silos. Red Hat sees a horizon where organizations can deploy any model, on any accelerator, across any cloud, delivering an exceptional, more consistent user experience without exorbitant costs. To unlock the true potential of gen AI investments, enterprises require a universal inference platform–a standard for more seamless, high-performance AI innovation, both today and in the years to come.
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Source: prnewswire
