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Hear our CEO Praveen Kankariya explore the challenges in creating a unified view of enterprise data, an essential building block for information-driven decision making, and the advent of an AI-driven future.
A single version of truth continues to elude the enterprise due to multiple information sources functioning in silos. The confusion arising from hundreds of point solutions has added complexity that needs to be simplified.
You can focus on your business while we bring in the best available solutions and services to solve the data, AI and analytics puzzle.
Out-of-the-box transformation accelerators for Teradata, Netezza, Ab Initio, Oracle and other legacy data warehouses
Assess legacy code and view transformed ETL, data warehouse and analytics
A visual IDE for data processing, and machine learning with Apache Spark
Leverage best practices and accelerators for cloud adoption, implementation and ROI
Build a scalable, secure, fast, and governed data lake with speed and agility
Build and deploy scalable data science and AI models across platforms leveraging multiple data sources
Fortune 500 multi-national automaker
End-to-end AI-based predictive maintenance analytics solution
Single pane to monitor all the assembly lines
Real-time notifications for tool replacement
Top 100 American bank
Saved 50% cost and time compared to manual transformation
Retained existing business logic and process flows on the AWS platform
Established frameworks for cloud-native CI/CD and data governance
Leading CRM software
~50% cost savings
Rapid scalability with 2x faster start-up time for containers
360-degree visibility of infrastructure, platform, and application metrics
Fortune 500 healthcare service provider
Expedited migration from on-premise CDH-based data lake
65% reduction in turnaround time with scalable GCP solution
85% less maintenance cost
