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In this DataWorks Summit keynote session, CEO Praveen Kankariya explores 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.
We enable you to 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
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 200 bank
Used predictive analytics and machine learning
4x performance
10x faster app development
Large mortgage company
Implemented a cloud-based big data warehouse
Benchmarked query performance
Saved time and cost over manual conversion
Cable TV and telecom
Real-time call center monitoring
Real-time visualization
Context-driven applications across customer touch points
Fortune 500 bank
Performed semantic validation
Converted 104 tables and 300 GB data
Performance tuning and cluster sizing