Transforming Real-Time Data Insights
The banking landscape is intricate, agile, and inundated with data. Accurate predictions based on timely, real-time data are the cornerstone of this industry.
Our client, a front-running U.S. bank, was confronted with efficiently monitoring their diverse machine learning models—a challenge too unique for standard market tools. In addition, they grappled with the issue of diverse model monitoring, needed seamless tool integration, and sought immediate ML insights, particularly in drift detection and automation.
The banking landscape is intricate, agile, and inundated with data. Accurate predictions based on timely, real-time data are the cornerstone of this industry.
Our client, a front-running U.S. bank, was confronted with efficiently monitoring their diverse machine learning models—a challenge too unique for standard market tools. In addition, they grappled with the issue of diverse model monitoring, needed seamless tool integration, and sought immediate ML insights, particularly in drift detection and automation.
Minimized false negatives in drift alerts, allowed for granular machine-learning model management, and offered a high degree of customizability
Ensured explainability for various algorithms and seamless integration with the bank's model training and deployment tools.
Provided cloud support metrics computation on temporally aggregated or segmented data.
Recognized by leading analyst firms and hyperscalers
2023 Databricks Retail & CPG Partner of the Year Award
2022 Microsoft Analytics Partner of the Year Finalist
'Leader' in ISG Provider Lens for Data Analytics - Data Engineering and Data Science
Forrester Wave Leader 2023 - Customer Analytics Service Providers
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