I’ve uploaded another presentation to SlideShare. (Still trying to work through the backlog.) This is something that I had been doing for banks and insurance […]
Continue readingRimmer: 1993 – 2009
Much loved by all. Will be sadly missed.
Continue readingInnovation [2009-08-10]
This week: why nothing is ever simple, why you can’t innovate like Apple, inside the secret overlap, and what U.S. citizens think of innovation.
Continue readingDealing with hysterical raisins
Had an interesting chat with a CIO the other day. He’s been pushed to provide documentation in the field to meet regulatory requirements. This documentation […]
Continue readingSorting out how to engage with Posterous
So what do you do with the first post to a blog? I’m still trying to understand if I want Posterous to replace my existing […]
Continue readingInnovation [2009-07-27]
Another week and another collection of interesting ideas from around the internet. As always, thoughts and/or comments are greatly appreciated. This issue: Four Lessons from […]
Continue readingAhead of trends – the random effect
I’ll be speaking at InnoFuture Momentum on August 5th, 3:30pm to 6:30pm, in Telstra’s Executive Briefing Centre, Level 18, 35 Collins Street, Melbourne. InnoFuture Momentum […]
Continue readingAccelerate along the road to happiness
Our ability to effectively manage time is central to success in today’s hype-competitive business environment. The streamlined and high velocity value-chains we’ve created are designed […]
Continue readingInnovation [2009-07-13]
Another week and another collection of interesting ideas from around the internet. As always, thoughts and/or comments are greatly appreciated. This issue: Neuromancer turns 25: […]
Continue readingThe value of information
We all know that data is valuable; without it it would be somewhat difficult to bill customers and stay in business. Some companies have accumulated masses of data in a data warehouse which they’ve used to drive organizational efficiencies or performance improvements. But do we ever ask ourselves when is the data most valuable?
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