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
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers -- AI-generated illustration
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers
    7 Min Read
    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
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: IBM and ILOG for a smarter planet
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 for a smarter planet
Business IntelligenceCRMData MiningPredictive Analytics

IBM and ILOG for a smarter planet

JamesTaylor
JamesTaylor
5 Min Read
IBM and ILOG for a smarter planet
Illustration generated with Qwen Image.
SHARE

Copyright © 2009 James Taylor. Visit the original article at IBM and ILOG for a smarter planet.

One of IBM’s big initiatives is their focus on a smarter planet. One of the ways IBM could really use ILOG is to make the construction of smarter systems (or smart (enough) systems) easier and faster. To illustrate what I mean I took some quotes from Sam Palmisano’s Smarter Planet speech

our world is becoming instrumented

Absolutely and now IBM make it easy for companies to build the kinds of systems that will let them exploit that instrumentation. After all, most input from instrumentation does not require a response but it is important you can quickly determine the ones that do. Business rules are perfect for this as they allow business users to specify which ones matter (and who else would know if not business users) and because they are declarative and atomic, making it easy to manage the very large numbers of rules you are likely to get as a result.

In an instrumented world, systems and objects can now “speak” to one another, too

But will they have anything intelligent to say? Most existing systems are as dumb as toast – all the intelligence is provided by people. This can’t continue if systems and objects are going to speak with one another intelligently. Companies need to be able to modernize their applications quickly and effectively to handle these more intlligent interactions. Rules, again.

More Read

Nursing Schools Are Forced to Adapt to Advances in AI
Nursing Schools Are Forced to Adapt to Advances in AI
Harvesting Data: What Is the Mood in the World?
How to Access 100M Time Series in R in Under 60 Seconds
Predictive Analytics Asset Valuations: New Opportunities or the Start of Another Futures Bubble?
The 10 Best Business Intelligence Tools For Small And Big Business

New computing models can handle the proliferation of end-user devices, sensors and actuators and connect them with powerful back-end systems.

Which is great but only useful if the powerful back-end systems can handle the logic complexity. IBM can make the standard way companies handle complexity more effective by putting rules into everything and allowing the decisions about what to do to be properly managed alongside processes and events. The available computing power means that the focus should shift to complexity handling and business agility and that means rules (again).

turn mountains of data into intelligence. And that intelligence can be translated into action, making our systems, processes and infrastructures more efficient, more productive and responsive—in a word, smarter.

IBM is already using ILOG’s optimization products in this way and I expect that to continue but JRules also offers an ideal platform for the processing of analytic information. Not only do many data mining techniques generate rules (making an easy integration possible), but JRules supports a score card model that makes it easy to deploy more complex analytic models on a rules platform. This combines analytic power with rapid depoyment and agilty – two thinks rarely associated with analytics – but only if the information on demand and analytics technology is integrated into a JRules decision delivery capability.

IBM’s Smarter Planet initiative is a great thing and ILOG, along with decision management techniques, is going to get them there.

BTW it looks like I will be participating in a session at DIALOG on Competitive B2B and B2C Relationship Management — Setting a New Agility Standard in CRM as well as attending sessions, blogging and being available to give free advice, sign copies of Smart (Enough) Systems etc. Hope to see some of you there.

Previous Next

Link to original post

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Flat editorial illustration: The article explains that training robots for physical interaction requires three distinct data cate
Physical AI: What Data Do You Need to Train a Robot?
Artificial Intelligence Exclusive Robotics
What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers -- AI-generated illustration
What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers
Analytics Big Data Exclusive Software
Flat editorial illustration: The article examines AI agents that escalate from legitimate data retrieval to attempted intrusions
OpenAI’s Government Website Incidents Raise a Hard Question for AI Agents: When Should They Stop?
Artificial Intelligence News Security
Flat editorial illustration: The article's core relationship is the alignment between customer behavioral data (visit frequency,
Data-Driven Loyalty: How Restaurants Use Behavioral Analytics to Optimize Revenue
Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

dreamstime l 31099078
Artificial IntelligenceExclusiveITSecurity

Role of AI-Driven Image Recognition in Modern Security

7 Min Read
Digital Universe Study: Extracting Value from Chaos
AnalyticsBusiness Intelligence

Digital Universe Study: Extracting Value from Chaos

6 Min Read
Can AI Help Make Social Media Healthier?
News

Can AI Help Make Social Media Healthier?

6 Min Read
Breakthroughs in AI Are Helping to Prevent Nurse Burnout
Artificial IntelligenceExclusive

Breakthroughs in AI Are Helping to Prevent Nurse Burnout

9 Min Read

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

Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence
How To Get An Award Winning Giveaway Bot
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive

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?