Skip to content
GigaSpaces Logo GigaSpaces Logo
  • Products, Solutions & Roles
    • Products
      • InsightEdge Portfolio
        • Smart Cache
        • Smart ODS
        • Smart Augmented Transactions
        • Compare InsightEdge Products
      • GigaSpaces Cloud
    • Solutions
      • Industry
        • Financial Services
        • Insurance
        • Retail and eCommerce
        • Telecommunications
        • Transportations
      • Technical
        • Operational BI
        • Mainframe & AS/400 Modernization
        • In Memory Data Grid
        • Transactional and Analytical Processing (HTAP)
        • Hybrid Cloud Data Fabric
        • Multi-Tiered Storage
        • Kubernetes Deployment
        • Streaming Analytics for Stateful Apps
    • Building a Successful Hybrid and Multicloud Strategy
      vid-icon Guide

      Learn how to build and deploy a successful hybrid and multicloud strategy to achieve: agility and scalability, faster go-to-market, application acceleration, legacy modernization, and more.

      DOWNLOAD
    • Contact
    • Try Free
  • Resources
    • Resource Hub
      • Webinars
      • Demos
      • Solution Briefs & Whitepapers
      • Case Studies
      • Benchmarks
      • ROI Calculators
      • Analyst Reports
      • eBooks
    • Featured Case Studies
      • Mainframe Offload with Groupe PSA
      • Digital Transformation with Avanza Bank
      • High Peak Handling with PriceRunner
      • Optimizing Business Communications with Avaya
    • col3
      • Blog
      • Technical Documentation
    • Live Webinar: Enable Digital Transformation With a High Performing Data Platform
      article-icon Live Webinar | March 11 - 9 AM EST/3 PM CET

      Join Capgemini and GigaSpaces for a discussion on the latest modernization trends for enterprises that are embarking on digital and business transformation

      REGISTER NOW
    • Contact Us
    • Try Free
  • Company
    • Col1
      • About
      • Customers
      • Management
      • Board Members
      • Investors
      • Events
      • News
      • Careers
    • Col2
      • Partners
      • OEM
      • System Integrators
      • Technology Partners
      • Value Added Resellers
    • Col3
      • Support & Services
      • University
      • Services
      • Support
    • GigaSpaces is Headed to CDAO 2021
      article-icon Event | March 2-4

      Join us at CDAO 2021, the premier Virtual Summit for Data and Analytics Leaders. We'll be moderating "Transforming Financial Services to a Customer-Centric Business", alongside USAA Bank, Regions Bank, and Capital Group.

      SIGN UP NOW
    • Contact Us
    • Try Free
  • Search
  • Contact Us
  • Try Free

Operationalizing Real-Time Machine Learning – A Financial Services Case Study

Subscribe to our blog!

Subscribe for Updates
Close
Back

Operationalizing Real-Time Machine Learning – A Financial Services Case Study

Yoav Einav January 24, 2019
4 minutes read

One of my favorite films that depicted the power of Machine Learning (ML) for predictive analysis is Moneyball (2011). In the film, Brad Pitt who plays Billy Beane, the Manager of the Oakland A’s,  hires a Yale Economics graduate who uses computer-generated analysis of historical data and predictive modeling to create a champion baseball team.
Managers that want to create a champion business are quickly realizing that to gain a competitive advantage, infusing AI into their processes is a must. Machine Learning isn’t a buzzword any longer.
Your data sources are spread far and wide, much of it in silos, some in data lakes and some residing on legacy systems, thus presenting many hurdles to achieve the benefits of ML.  Data, regardless from where it originates needs to be unified, so when you have your ML or deep learning model built, it can be operationalized, and return the real time insights you need to stay competitive.

Gartner Says Nearly Half of CIOs Are Planning to Deploy Artificial Intelligence

The far-reaching benefits of AI are empowering businesses across industries to increase accuracy and make smarter impactful data-driven decisions as they leverage instantaneous deep insights.
These decisions are wide-ranging and can impact and redefine the business in highly diverse areas such as reducing churn, optimizing online campaigns, personalizing offers, risk analysis, fraud detection and a whole lot more.
The Benefits of Unifying AI and ML with Transactional Processing
Operationalizing your ML Models answers the glaring question on how you can capitalize on all the data at your disposal in applying the ML models you created. The ability to unify AI and ML transactional processing not only simplifies and shortens ETL processes. Moreover, it also eliminates unnecessary data duplication and prevents data ingestion bottlenecks from your various data sources.

As most companies can attest, the difficulties they experience in tapping into the potential insights that ML can deliver are quite daunting. Specific steps must be followed, but most companies do not have the necessary infrastructure or resources to reach these levels of insight.
Let’s take a look at a case example of how operationalizing ML can benefit Financial Services.
Predicting Stock Prices with InsightEdge
You can implement a ML based stock prediction application by:

    • Leveraging sentiment analysis on unstructured data from multiple news sources and social media
    • Correlating the news articles with the correct stock ticker
    • Using the historical data of the stock to enrich the predictive accuracy

The prediction will provide you with insight on how the stock will behave in within the next minutes.
Challenges Addressed
The following technical challenges must be addressed in order to implement the application:

  • The need to ingest in real-time unstructured data streaming from over 30,000 of sources
  • Ability to process 100s of thousands of trades in sub-second latency
  • Support reinforced learning for ML model
  • Execute predictions at sub-second latency

 
The Solution
The  following diagram shows the conceptual data flow using InsightEdge platform to meet the solution requirements:

Figure 1  : Conceptual data flow using InsightEdge platform

 
In depth data visualizations with Tableau empower Traders and Business Analytics Managers to explore data interactively and quickly understand the predictions for smarter actions with a real-time view.

Figure 2 : Data visualizations with Tableau
The Results

  • Increase in trading margins
  • Reduce trade order response time
  • Handle peak events such as Brexit, elections etc.

Below are the steps that demonstrate how to build and train your ML model:
Load the dataset

Prepare the dataset for training and validation

Create a classification model using Logistic Regression, train it and load to memory


To learn how to make your Financial Services organization into a champion business that Billy Beane would be proud of and see this use case demonstrated live, watch the on demand webinar recording.

CATEGORIES

  • Availability
  • Fast Data
  • Financial Services
  • GigaSpaces
  • High Availability
  • InsightEdge
  • Machine Learning
  • Real Time Analytics
  • real-time
  • RealTime Analytics
  • Risk Management
  • Stream Processing
Yoav Einav

All Posts (23)

YOU MAY ALSO LIKE

December 16, 2007

Who needs standards anyway?
6 minutes read

December 10, 2007

Strut Your Stuff: The OpenSpaces…
3 minutes read

April 30, 2008

Cool Projects on OpenSpaces.org
5 minutes read
  • Copied to clipboard

PRODUCTS, SOLUTIONS & ROLES

  • Products
  • Smart Cache
  • Smart Operational Data Store
  • Smart Augmented Transactions
  • GigaSpaces Cloud
  • Roles
  • Architects
  • CIOs
  • Product Team
  • Solutions
  • Industry
    • Financial Services
    • Insurance
    • Retail and eCommerce
    • Telecommunications
    • Transportation
  • Technical
    • Operational BI
    • Mainframe & AS/400 Modernization
    • In Memory Data Grid
    • HTAP
    • Hybrid Cloud Data Fabric
    • Multi-Tiered Storage
    • Kubernetes Deployment
    • Streaming Analytics for Stateful Apps

RESOURCES

  • Resource Hub
  • Webinars
  • Demos
  • Case Studies
  • Solution Briefs & Whitepapers
  • Benchmarks
  • Cost Reduction Calculators
  • Analyst Reports
  • eBooks
  • Blogs
  • Documentation
  • Featured Case Studies
  • Mainframe Offload with Groupe PSA
  • Digital Transformation with Avanza Bank
  • High Peak Handling with PriceRunner
  • Optimizing Business Communications with Avaya

COMPANY

  • About
  • Customers
  • Management
  • Board Members
  • Investors
  • News
  • Events
  • Careers
  • Contact Us
  • Book A Demo
  • Try GigaSpaces For Free
  • Partners
  • OEM Partners
  • System Integrators
  • Value Added Resellers
  • Technology Partners
  • Support & Services
  • University
  • Services
  • Support
Copyright © GigaSpaces 2020 All rights reserved | Privacy Policy
LinkedInTwitterFacebookYouTube

Contact Us