Varun Bhatnagar works as a Lead Designer in DevOps and MLOps area in the Group Business Intelligence value stream at Swedbank. Before joining Swedbank, Varun had been working with designing effective solutions for cloud deployment and possesses in-depth knowledge of implementing core DevOps concepts such as containerization, virtualization, version control, cloud computing, database management & administration, load balancing, etc. by using a wide variety of technologies.

Swedbank is the largest bank in Sweden and the third-largest in the Nordic countries. Five years ago, the bank started looking at how to integrate and analyze data and use insights to improve decision-making. To assure a stronger position in the market, Swedbank migrated existing capabilities and application services within the Azure cloud. The advanced analytics platform i.e. Enterprise Analytics Platform (EAP) has made AI and ML programming languages available in one click. The platform is not just limited to one set of audience but instead provides capabilities that can cater to the needs of the whole organization when it comes to AI & Advanced Analytics. The implementation of machine learning operations (MLOps) using the platform has enabled shorter development cycles, which has resulted in shorter time-to-market.

Topics that we talked about:

• An overview of the solution - What is an Enterprise Analytics Platform (EAP)?
• Evolution of MLOps at Swedbank - How it all started and how has the solution evolved over time?
• Iterative development for ML models - How can one improve the iterative development process for ML models?
• The road ahead (after migration) and what's next?
• The secret of success - What has led to this successful migration?
• Key take-away points and the lessons learned from our ML cloud transformation journey and how can one start or improve in this area?

The podcast was recorded by Adam Kawa (CEO at GetInData).

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Find more about our data, analytics, cloud, and MLOps projects and services at getindata.com.

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