Technical Solutions
STREAMING ANALYTICS AND MACHINE LEARNING
About
Analyze, Predict, Alert and Act Across Data-in-Motion
InsightEdge enables enterprises to build real-time fast data pipelines to predict fraud, optimize customer interactions, detect anomalies and sensor data all while providing the capability to co-locate consumer-facing applications. Applications can trigger actions or alerts on real-time streaming data while being able to correlate with historical and reference data at very low latencies.
Benefits
Make smarter decisions based on historical context and real-time data. Use in-memory data grid to fetch relevant data for intelligent event processing.
Process millions of events without performance tradeoff by sharing data across streams using the in-memory data grid. Make smarter decisions based on data from multiple streams for actionable insights.
Use unified storage to ingest any structured, semi-structured and unstructured data such as images, key value, documents, logs, social feeds and more. Analyze and perform analytics at the point of action.
Leverage rich machine learning and deep learning frameworks based on the popular open-source Spark and TensorFlow. Load pretrained Caffe or Torch models into the Spark framework.
Case Studies
Fast Data Access to Global eTrading Data for Risk Management and Regulation
Fast Data Access to Global eTrading Data for Risk Management and Regulation
Customer
This top 10 European banking and financial services company, active across Europe, the USA and Asia-Pacific, focuses on retail banking, corporate investments and global investments.
Business Challenge
This customer needed to be able to run a credit check in real-time before a trade with a counterpart occurs, in order to guarantee that the counterparty has enough limit to trade.
Solution
With GigaSpaces’ in-memory real-time analytics platform leveraging the WAN Gateway, this customer was able to run “credit check solution” checks before a trade with a counterpart occurs, to guarantee that the counterparty has enough limit to trade.
The solution also allowed for a worldwide deployment is done (Paris, NY and London) with GigaSpaces asynchronous replication between each site. All requests are executed via the GigaSpaces platform, and all reservations, limits and client are stored in the platform as well.
Predictive Maintenance and Route Optimization
Predictive Maintenance and Route Optimization
Customer
This leading rail-based transportation company is focused on rail transportation and real estate, supplying rail-based freight transportation. Their rail and intermodal businesses provide rail-based transportation services including traditional rail service and the transport of intermodal containers and trailers.
Business Challenge
This customer needed to run predictive analytics on their equipment while ingesting and processing streaming data at scale, in order to monitor and diagnose potential failures to help its fleet operators reduce maintenance costs, improve the process of troubleshooting, and redirect trains in a timely manner.
Technical Challenge
- Process streaming data at scale and query from a live data mart
- Event-driven analytics and business logic
- Many small low-volume streams that require correlation and statefulness (the IoT streaming problem)
- Real-time analytics leveraging GPS, train sensor data
Solution
With GigaSpaces’ in-memory real-time analytics platform, this customer was able to ingest and process streaming data from millions of sensors and provide real-time insight and respond instantly to situations. By leveraging machine learning on real-time and historical data, the safety and reliability of the journey has improved as well as cost-saving measures that conserve fuel and increase safe operating speeds. Event-based triggers now direct the output to operational workflows and live dashboards for timely maintenance and redirecting of trains.
Fraud and Money Laundering Detection in Real-Time
Fraud and Money Laundering Detection in Real-Time
Customer
This company is a leader in fraud prevention and risk management. They provide financial institutions and customers with fraud and risk management tools, facilitate a secure exchange between financial organizations and offer solutions for responding quickly to evolving fraud challenges.
Business Challenge
This customer was looking for a solution to detect fraud in real-time for mobile payments and check deposits. They required high-availability to assure 24X7 access for demanding customers. Reducing their current TCO was also a priority.
- Detecting fraud on mobile payment applications in real-time
- Detecting the deposit of the same check-in multiple accounts at different banks in real-time
- User experience: application availability 24×7
- TCO reduction: reduce dependency on expensive RDBMS
Technical Challenge
- Required ingestion of 4 TB of data daily
- Support of fully consistency for transactional in-memory map-reduce
- Millisecond response
- Ability to analyze and validate against a large dataset of live (multiple TB) in memory and archived data (to Cassandra NoSQL and Hadoop)
Solution
The GigaSpaces in-memory real-time analytics platform provides sub-second response for accurate fraud detection to stop the transaction before it is completed. The high-performance solution ingests 4 TB daily and handles over 1.5M events per second. TCO was reduced when introducing RAM and SSD, replacing expensive alternatives. No-Downtime is assured with a fault-tolerant, highly available, scaling on-demand solution.
Instant Payments for Real-Time Transactions
Instant Payments for Real-Time Transactions
Customer
This financial institution is one of the top 10 largest global banks by assets and is a network of cooperative and mutual banks, with a customer-focus banking model.
Business Challenge
In line with regulations and their focus on a positive customer experience, this bank required an instant payment service to process payment transactions in real-time and ensure the highest levels of reliability. They also needed to assure to scale capacity ahead of demand and employ sophisticated analytics to help prevent fraud and identify actionable insights from the data they collect.
- Accelerate instant payment solutions and meet regulatory requirements on a global scale and enhance the customer experience
- Assure automatic fraud detection
- Automatically track purchases and other server-to-server communication in real time
- Store payment transactions, order information, and other sales internally
Technical Challenge
- Ability to handle growing data volumes of 15k payment/sec receipts introduced by the management of new SEPA European payment regulation
- Assure no-downtime for mission-critical service
Solution
With GigaSpaces’ in-memory real-time analytics platform, this customer was able to develop and deploy an instant payment solution that meets regulatory requirements on a global scale, handling thousands of payments/sec. Each payment transaction is executed in 500 milliseconds with end-to-end validation, including fraud analysis and others, within seconds. The solution meets mission-critical applications requirements such as high availability and fast recovery.
