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
    data analytics for pharmacy trends
    How Data Analytics Is Tracking Trends in the Pharmacy Industry
    5 Min Read
    car expense data analytics
    Data Analytics for Smarter Vehicle Expense Management
    10 Min Read
    image fx (60)
    Data Analytics Driving the Modern E-commerce Warehouse
    13 Min Read
    big data analytics in transporation
    Turning Data Into Decisions: How Analytics Improves Transportation Strategy
    3 Min Read
    sales and data analytics
    How Data Analytics Improves Lead Management and Sales Results
    9 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

National Security Strategy as Art
What Is Hadoop? Here is a 101 with Mike Olson
Teradata prepares universities for the digital decade
Big Data Sets The Tone For Web Development And UI Trends In 2019
Mobile Business Intelligence – Real-Time Data is Key


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

dedicated servers for ai businesses
5 Reasons AI-Driven Business Need Dedicated Servers
Artificial Intelligence Exclusive News
data analytics for pharmacy trends
How Data Analytics Is Tracking Trends in the Pharmacy Industry
Analytics Big Data Exclusive
ai call centers
Using Generative AI Call Center Solutions to Improve Agent Productivity
Artificial Intelligence Exclusive
warehousing in the age of big data
Top Challenges Of Product Warehousing In The Age Of Big Data
Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

In Praise of Industry Models

5 Min Read

#5: Here’s a thought…

8 Min Read
big data in gaming industry
AnalyticsArtificial IntelligenceBig DataExclusive

Big Data Helps Gaming Industry Implement Cross-Regional CS Strategies

5 Min Read

Is there a voice quality testing software that can compare two audio files? Does it have advantages if compared with existing ones? – Yes, this software already exists! Yes it does have advantages!

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.

AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots
ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence

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?