Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    predictive analytics risk management
    How Predictive Analytics Is Redefining Risk Management Across Industries
    7 Min Read
    data analytics and gold trading
    Data Analytics and the New Era of Gold Trading
    9 Min Read
    composable analytics
    How Composable Analytics Unlocks Modular Agility for Data Teams
    9 Min Read
    data mining to find the right poly bag makers
    Using Data Analytics to Choose the Best Poly Mailer Bags
    12 Min Read
    data analytics for pharmacy trends
    How Data Analytics Is Tracking Trends in the Pharmacy Industry
    5 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: DIALOG Product Roadmap (not really)
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 > DIALOG Product Roadmap (not really)
Business IntelligenceCRMData MiningPredictive Analytics

DIALOG Product Roadmap (not really)

JamesTaylor
JamesTaylor
5 Min Read
SHARE

(Guest post by James Taylor of Decision Management Solutions)

Nicolas Robbe came next to give some updates on the product roadmaps. To be honest what he mostly did was summarize recent developments – nothing really about futures.

First he talked about optimization and CPLEX’s 20 year history. With CPLEX 11 they feel they can solve 70% of the very hardest optimization problems – way up from its early days. Realistically optimization can be used for many problems and complete in a timeframe that works, supporting regular re-optimization for best results. Also introduced CP Optimizer 2.0 for constraint-based problems. Optimization has been big in IBM with both research and lots of projects in the consulting business where IBM has a Center for Business Optimization. The remaining challenges seem to IBM/ILOG to be focused on bringing non-math people to these capabilities. Needs tooling, what-if analysis, vsualization, enterprise deployment etc. Introduced Optimization Decision Manager (ODM) Enterprise in October to manage this and to create a platform for IT and LOB people to use optimization.

Business rules has been going well for ILOG over recent years. Introducing a business r…

More Read

The Keys to Discovery: Curiosity and Simple Tools
4 New Year’s BI Data Resolutions You Can’t Fail to Keep
Business Intelligence? Yes Minister!
Comparing Cloud Web Services
Business Intelligence Foundations


Nicolas Robbe came next to give some updates on the product roadmaps. To be honest what he mostly did was summarize recent developments – nothing really about futures.

First he talked about optimization and CPLEX’s 20 year history. With CPLEX 11 they feel they can solve 70% of the very hardest optimization problems – way up from its early days. Realistically optimization can be used for many problems and complete in a timeframe that works, supporting regular re-optimization for best results. Also introduced CP Optimizer 2.0 for constraint-based problems. Optimization has been big in IBM with both research and lots of projects in the consulting business where IBM has a Center for Business Optimization. The remaining challenges seem to IBM/ILOG to be focused on bringing non-math people to these capabilities. Needs tooling, what-if analysis, vsualization, enterprise deployment etc. Introduced Optimization Decision Manager (ODM) Enterprise in October to manage this and to create a platform for IT and LOB people to use optimization.

Business rules has been going well for ILOG over recent years. Introducing a business rules management system (BRMS) and extending this to include using Microsoft office. Now the focus is on treating rules (or I would say decisions) as an enterprise asset. This means that:

  • The business is in the driver seat not just supporting and collaborating
    • Testing and simulation for business users so they can feel confident in their changes
    • Decision traceability and insights to see what happened in the past, why it happened and what might be done about it
    • Use of Word or Excel to manage business rules
  • Business rules must be deployed anywhere (right down to the customer touchpoint like the cash register)
    • Recently added Rules for COBOL to add mainframe deployment
    • Rule Team server is at the heart of multi-platform deployment
  • Change control and governance must be re-thought.
    • Open sourced their rule management methodology
    • Rule certification also to improve developer community

They plan to continue to pursue the BRMS market, accelerate the BPM/BRMS market and provide integration with CICS.

Visualization is focused on a transformation to a Rich Internet Applications (RIA). The in-browser, highly interactive environment for the visualization tool is very cool and let’s you build some very rich applications. It supports things like maps, graphs, GANTT charts, calendars, organization charts and so on.

Nice summary of how ILOG got where it is – not much of a roadmap though.


Link to original post

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

street address database
Why Data-Driven Companies Rely on Accurate Street Address Databases
Big Data Exclusive
predictive analytics risk management
How Predictive Analytics Is Redefining Risk Management Across Industries
Analytics Exclusive Predictive Analytics
data analytics and gold trading
Data Analytics and the New Era of Gold Trading
Analytics Big Data Exclusive
student learning AI
Advanced Degrees Still Matter in an AI-Driven Job Market
Artificial Intelligence Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

AnalyticsBusiness IntelligenceExclusiveMarketingSocial DataSocial Media AnalyticsUnstructured DataWeb Analytics

Long Live KPIs: Innovation is the New Black

5 Min Read

Three Sites to Check Out for Business Analytics Info

2 Min Read

Stop Mining Data!

3 Min Read
Robots Could Hold Nearly 40 Percent of American Jobs by Early 2030s
Artificial Intelligence

Robots Could Hold Nearly 40 Percent of American Jobs by Early 2030s

6 Min Read

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

ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence
data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?