By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData Collective
  • Analytics
    AnalyticsShow More
    data science anayst
    Growing Demand for Data Science & Data Analyst Roles
    6 Min Read
    predictive analytics in dropshipping
    Predictive Analytics Helps New Dropshipping Businesses Thrive
    12 Min Read
    data-driven approach in healthcare
    The Importance of Data-Driven Approaches to Improving Healthcare in Rural Areas
    6 Min Read
    analytics for tax compliance
    Analytics Changes the Calculus of Business Tax Compliance
    8 Min Read
    big data analytics in gaming
    The Role of Big Data Analytics in Gaming
    10 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-23 SmartData Collective. All Rights Reserved.
Reading: DIALOG Product Roadmap (not really)
Share
Notification Show More
Latest News
ai in automotive industry
AI Is Changing the Automotive Industry Forever
Artificial Intelligence
SMEs Use AI-Driven Financial Software for Greater Efficiency
Artificial Intelligence
data security in big data age
6 Reasons to Boost Data Security Plan in the Age of Big Data
Big Data
data science anayst
Growing Demand for Data Science & Data Analyst Roles
Data Science
ai software development
Key Strategies to Develop AI Software Cost-Effectively
Artificial Intelligence
Aa
SmartData Collective
Aa
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
Last updated: 2009/02/04 at 11:08 PM
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

ai in automotive industry

AI Is Changing the Automotive Industry Forever

SMEs Use AI-Driven Financial Software for Greater Efficiency
Key Strategies to Develop AI Software Cost-Effectively
AI is Driving Huge Changes in Omnichannel Marketing
Maximize Tax Deductions as a Business Owner with AI


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

JamesTaylor February 4, 2009
Share this Article
Facebook Twitter Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

ai in automotive industry
AI Is Changing the Automotive Industry Forever
Artificial Intelligence
SMEs Use AI-Driven Financial Software for Greater Efficiency
Artificial Intelligence
data security in big data age
6 Reasons to Boost Data Security Plan in the Age of Big Data
Big Data
data science anayst
Growing Demand for Data Science & Data Analyst Roles
Data Science

Stay Connected

1.2k Followers Like
33.7k Followers Follow
222 Followers Pin

You Might also Like

ai in automotive industry
Artificial Intelligence

AI Is Changing the Automotive Industry Forever

5 Min Read
Artificial Intelligence

SMEs Use AI-Driven Financial Software for Greater Efficiency

10 Min Read
ai software development
Artificial Intelligence

Key Strategies to Develop AI Software Cost-Effectively

10 Min Read
ai in omnichannel marketing
Artificial Intelligence

AI is Driving Huge Changes in Omnichannel Marketing

12 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
giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US

© 2008-23 SmartData Collective. All Rights Reserved.

Removed from reading list

Undo
Go to mobile version
Welcome Back!

Sign in to your account

Lost your password?