Edelweiss AMC partners with Snowflake to modernise data architecture

Mutual fund firm Edelweiss Asset Management Company (Edelweiss AMC) has partnered with Snowflake to modernise its data architecture. Leveraging Snowflake’s AI Data Cloud has helped Edelweiss to better manage risks, strengthen security, and facilitate faster regulatory reporting to stakeholders. It also allows the company to leverage advanced analytics and AI in asset management. 

Earlier, Edelweiss AMC was working with legacy online transaction processing (OLTP) databases and fragmented data silos which led to reporting delays and slow integration of new data sources. Snowflake has helped it to unify  all data into a single, cloud-native environment, enabling Edelweiss AMC to manage larger data volumes and complex workloads with speed and efficiency.

Now, Edelweiss AMC has a more unified view of customer behaviour and needs, helping teams to respond dynamically and deliver personalised investor experiences. The company plans to leverage Snowflake’s integrated AI features, such as Cortex AI, large language model support, and Snowpark ML, allowing Edelweiss AMC to embed intelligence directly into business processes and automate workflows.

 “Migrating to Snowflake has been a transformative step for Edelweiss AMC, providing us with a secure, unified, and scalable platform foundational to our data and AI strategy. We have significantly boosted our team's agility and productivity by enabling data-driven decision-making across the organization. This has allowed us to focus on personalized investment planning for our customers, fortify our partnerships, and reduce costs,” said Suraj Prakash, Chief Technology Officer, Edelweiss AMC.

In the future, Edelweiss AMC plans to use Snowflake's AI Data Cloud as the foundation for its future AI and machine learning innovations. By analysing historical transactions and market trends, the company plans to build predictive models to forecast fund flow, optimize liquidity planning, and improve risk management. This will also enable the creation of personalised recommendation engines to enhance customer engagement and cross-sell opportunities.