We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
    cybersecurity efforts
    How Behavioral Analytics and AI Are Redefining Cybersecurity for Boca Raton Businesses
    14 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: IBM and ILOG – What Else?
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Business Intelligence > CRM > IBM and ILOG – What Else?
Business IntelligenceCRMData MiningPredictive Analytics

IBM and ILOG – What Else?

JamesTaylor
JamesTaylor
5 Min Read
IBM and ILOG - What Else?
Illustration generated with Qwen Image.
SHARE

Last post in my series as I am off to DIALOG next week and will get a chance to meet some of the IBM folks and chat about their plans. Here, then, are some quickie ideas for ways IBM could use rules besides the ones I mentioned already:

  • Modernizing Legacy
    IBM customers have LOTS of legacy systems. Baking ILOG’s rules product into their legacy modernization approach in a decision service-centric way would let IBM move its clients towards SOA by sensibly extracting business logic (brutally hard to maintain on the mainframe) into coherent decision services built with JRules. These decision services run on the SOA/BPM stack to support new systems while the COBOL version of JRules means that the rules can be re-deployed back to the mainframe to keep the old system in synch with the new. It’s been done, it works and IBM could make it the standard operating procedure.
  • Expanding Optimization
    Optimization is under-utilized in information systems. With resouce and price optimization top of mind in a recession, IBM could use some of ILOG’s new optimization frameworks and its integration between busines rules a…

Copyright © 2009 James Taylor. Visit the original article at IBM and ILOG – What Else?.

Last post in my series as I am off to DIALOG next week and will get a chance to meet some of the IBM folks and chat about their plans. Here, then, are some quickie ideas for ways IBM could use rules besides the ones I mentioned already:

  • Modernizing Legacy
    IBM customers have LOTS of legacy systems. Baking ILOG’s rules product into their legacy modernization approach in a decision service-centric way would let IBM move its clients towards SOA by sensibly extracting business logic (brutally hard to maintain on the mainframe) into coherent decision services built with JRules. These decision services run on the SOA/BPM stack to support new systems while the COBOL version of JRules means that the rules can be re-deployed back to the mainframe to keep the old system in synch with the new. It’s been done, it works and IBM could make it the standard operating procedure.
  • Expanding Optimization
    Optimization is under-utilized in information systems. With resouce and price optimization top of mind in a recession, IBM could use some of ILOG’s new optimization frameworks and its integration between busines rules and optimization to really expand the use of optimization in operaitonal systems – moving it from back-office decision support to front-office decision management. There’s already a center for business optimization at IBM and I think this one’s a gimme.
  • Events, Decisions, Action!
    In the same way that rules-based decisions can make processes simpler, smarter and more agile they can help on the event processing side. Making it easy to deploy the same decision logic as a decision service on the process side and as a “decision agent” on the event side can make it much easier for suitable business decisions to be made in response to events.
  • Decisions on Demand
    There are some interesting moves afoot from some vendors to deliver Decisions As A Service (DaaS) using the cloud to execute business rules and analytic models so that anyone, anywhere can have access to the right decision. As companies become more distributed and more dependent on a network of third parties, this capability becomes more and more appealing. After all you have a lot more choices in outsourcers or partners if you know that the decisions they make about pricing and treating customers will be the ones you manage. DaaS can deliver that.

I am sure there are others but this should be enough for now. Looking forward to blogging about IBM’s actual plans.

More Read

A Base SAS to Java Compiler
A Base SAS to Java Compiler
Big Data Helps Gaming Industry Implement Cross-Regional CS Strategies
Tactical Meandering
Bigger Than Big Data? Mobile User Expectations
You Have to Segment Your List
Previous
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

How Digital Knowledge Repositories Facilitate Self-Directed Research and Information Discovery -- AI-generated illustration
How Digital Knowledge Repositories Facilitate Self-Directed Research and Information Discovery
Exclusive News
7 MDR Providers Combining Offensive Security Testing With 24/7 Monitoring -- AI-generated illustration
7 MDR Providers Combining Offensive Security Testing With 24/7 Monitoring
Exclusive IT Security
The Information Governance Practices That High-Demand Social Work Roles Require -- AI-generated illustration
The Information Governance Practices That High-Demand Social Work Roles Require
Data Management Exclusive Policy and Governance Security
8 MCP Tools for Market and Consumer Intelligence Workflows -- AI-generated illustration
8 MCP Tools for Market and Consumer Intelligence Workflows
Artificial Intelligence Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

The Analytics Journey
AnalyticsBusiness IntelligenceDecision ManagementMarketing

The Analytics Journey

7 Min Read
Time for an Information Management Strategy?
Best PracticesKnowledge Management

Time for an Information Management Strategy?

4 Min Read
SAS Portal and BI Dashboard: Customizing the Tabs
Business Intelligence

SAS Portal and BI Dashboard: Customizing the Tabs

3 Min Read
Seriously, how in God's name do people afford housing in the UK?
CRM

Seriously, how in God’s name do people afford housing in the UK?

2 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?