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
    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
    data analytics and truck accident claims
    How Data Analytics Reduces Truck Accidents and Speeds Up Claims
    7 Min Read
    predictive analytics for interior designers
    Interior Designers Boost Profits with Predictive Analytics
    8 Min Read
    image fx (67)
    Improving LinkedIn Ad Strategies with Data Analytics
    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

Image
Most enterprises have a digital transformation strategy, but few have completed it
Google Paper on Parallel EM Algorithm using MapReduce
5 Step Process For Insightful Data Driven Business Decision Making
One oil field alone can generate the equivalent of 200…
A Sustainability Storm is Brewing for BI


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

AI role in medical industry
The Role Of AI In Transforming Medical Manufacturing
Artificial Intelligence Exclusive
b2b sales
Unseen Barriers: Identifying Bottlenecks In B2B Sales
Business Rules Exclusive Infographic
data intelligence in healthcare
How Data Is Powering Real-Time Intelligence in Health Systems
Big Data Exclusive
intersection of data
The Intersection of Data and Empathy in Modern Support Careers
Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

AI based penny stocks trading
AnalyticsArtificial IntelligenceBusiness Intelligence

Deep Learning Tools Could Compound Returns on Technical Analysis Trading

5 Min Read
AI helps create discord server bots
Artificial IntelligenceExclusive

AI-Driven Discord Bots Can Track Server Stats

4 Min Read
online data
Artificial IntelligenceExclusive

3 Incredibly Common Online Course Creation Mistakes with AI

7 Min Read

The Unintended Consequences of Combining Technology and Speed

4 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 is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence
ai chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots

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?