Data Modernization & Engineering Success Stories
Discover how we translate strategic innovation into differentiated capabilities and accelerate bottom-line impacts for fast-growing enterprises and digitally-native companies.
Challenge:
Avoid the inefficiencies resulting from manual incident management and slow development cycles.
Approach:
Develop performance monitoring dashboards, including real-time notifications.
Impact:
+39%
Monthly Releases
-8%
Issue Resolution
Time
Challenge:
Streamline data assets to simplify and enhance analytical insights.
Approach:
Extract insights with Data Science & Analytics and enhance decision-making using real-time performance data.
Impact:
+50%
Site
Traffic
+200%
Conversion
Rate
Challenge:
Mitigate data fragmentation, analytical challenges, slower site performance, and the decay of the customer experience.
Approach:
Deployed an integrated data warehouse, providing decision-makers with real-time performance visibility.
Impact:
+81%
Conversion
Rate
+364%
Daily
Transactions
Thought Leadership for Machine Learning & AI Models
Allow us to show you our expert input and find out more about our work on emerging insights, challenges, and trends across industries worldwide.
An Introduction to Federated Learning
How can we train machine learning models using distributed sensitive data?
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Driving into the Future: AI and Tech Revolutionizing the Automotive Industry
Introduction The automotive industry has long been synonymous with innovation and progress, but in ...
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How to Implement AI at the Edge
Edge computing brings data processing and storage closer to the devices that use and gather the ...
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Using the OpenAI API
Introduction Lately, Foundational AI models, and Large Language Models (LLMs) in particular, have ...
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