Global Bank Achieves 90% Cost Savings with Mainframe Offloading!
Discover how a leading global bank achieved 90% cost savings with Ververica's solution by offloading mainframe workloads to a modern, scalable platform.
Jaime López14 min read
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Use Case
11 posts
Preventing Blackouts: Real-Time Data Processing for Millisecond-Level Fault Handling
Leverage real-time data processing for instant power outage detection. Improve grid reliability and enable predictive maintenance.
Jaime López17 min read
Real-Time Fraud Detection Using Complex Event Processing
Real-time fraud detection with Complex Event Processing helps identify suspicious transactions instantly. Try 3 real-world exercises for 2025 trends.
Giannis Polyzos15 min read
Outrun Fraudsters with Agentic AI and Ververica
Enhance fraud detection with agentic AI and Ververica's real-time stream processing for robust, scalable, and adaptive solutions.
Johnson Noel10 min read
KartShoppe: Real-Time Feature Engineering With Ververica
Discover how KartShoppe leverages Ververica’s real-time feature engineering to enhance their AI and ML models for immediate, data-driven decision-making.
Giannis Polyzos25 min read
Driving Efficiency: Using Real-Time Data to Optimize the Electric Vehicle Industry
Optimize EV industry efficiency using real-time data with Ververica's Unified Streaming Data Platform. Enhance charging station operations
Karin Landers9 min read
Real-Time Insights for Airlines with Complex Event Processing
Discover how Complex Event Processing (CEP) and Dynamic CEP help optimize airline operations through real-time data insights and dynamic rule updates.
Giannis Polyzos11 min read
Flink-powered model serving & real-time feature generation at Razorpay
How the Razorpay Mitra data platform used Apache Flink, Kafka and Flink CEP to generate hundreds of machine learning features in real time and serve fraud models.
Shashank Agarwal7 min read
Using Apache Flink for Smart Cities: the case of Warsaw
This blog post describes how we used Apache Flink as the primary stream processing framework for a Smart City project in the city of Warsaw in Poland.
Piotr Wawrzyniak7 min read
StreamING Machine Learning Models: How ING Adds Fraud Detection
ING on its Apache Flink risk engine: machine learning models streamed in as PMML and scored in real time, and updated by business users with no downtime.
Erik de Nooij13 min read
Drivetribe's Modern Take On CQRS With Apache Flink®
Drivetribe engineering on building drivetribe.com with event sourcing and CQRS on Apache Kafka and Apache Flink: stateful aggregations, replays and lessons from production.
Aris Koliopoulos15 min read