The Personalisation of Event Processing
I was struck by Jim Sinur's latest post about how far "customer control" in B2C relationships has yet to run. Jim talks about how...
Google and NOAA: What Will They Think of Next?
Combining the scientific resources of the National Oceanic and Atmospheric Administration (NOAA) with Google’s software expertise is bound to change the way we see...
Analytics Bring New Insights to MTBF
Engineers have a quaint term for “business intelligence” on how often mechanical devices and other tools break down (Jargon Alert). They call it "Mean...
Business Intelligence Remains Hot IT Skill for 2010 – But Best to Place...
The issue of employment remains an ongoing concern in the marketplace, whether for individuals pursuing a job or those seeking to fill a slot...
Why Agent Technology for event processing? by James Odell, CSC
Over the next few weeks James Odell, known for his work on OO, UML and agents, will be offering some thoughts on agent technologies...
TIBCO Webcast: Financial Services: Risk Management, Forecasting and Stress Testing
In one of the many unfortunate truths that has accompanied our recent global financial crisis; banks continue to fail. For those banks and financial...
The Return of the Expert System?
There was an interesting discussion on LinkedIn recently about Expert Systems versus Business Rules (and, my contribution, versus CEP). This was posted on the...
Operational + Informational + Collaborative Computing = Enterprise 2.0
There is a deep thinking article over at B-eye-Network on the concept of moving from business intelligence to a “wider world of enterprise architecture.”...
Events versus Data
A recent question came up regarding the difference between "events" and "data". After all, to a DBA, an "event" is just another data record...
Do “Big” Business Intelligence Companies Understand Analytics?
A recent blog makes the case that the larger, older business intelligence vendors haven’t made the transition from building data warehousing solutions to building systems that address “data sense-making.” It states that “data sense-making (also known as analytics) requires…an approach that leads with design, not engineering, and focuses on people, their needs and abilities, not technology.”