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Matthew Guest's Blog

Future mobile interaction - image recognition

17 Jul 2009 12:01 No comments

A colleague recently sent me the following link: http://tinyurl.com/nvrwf9 describing a project by MIT's Fluid Interfaces Group, related to next generation interaction solutions. Besides being an interesting (and occassionally amusing) presentation, it reminded me of some thinking I participated in on a similar front, which I thought was worth sharing. For ease of reading, I'll break the subject into multiple posts, starting with image recognition.

Wouldn't it be great if my computer could see what I saw, tell me everything I want to know about it? I'd look at a product on a shelf and know everything about it. More...

Mobile broadband data point...

27 Oct 2008 14:37 No comments

A data point: Ofcom's communication market report showed 3G increasingly substituting for DSL in the home. The data is presented in a slightly obtuse manner - 32% of 3G "dongle" users are using the service to sub for DSL - roughly 2m dongles in the UK consumer market, so 600k 3G from a total of 15m broadband connections - 4% market share captured in 18 months.

Interpretation (after 2 seconds of thought!):

Revenues from (mobile) broadband are massively disproportionate to the bandwidth used - same as in fixed line. Outwardly, this is another nudge towards netco/ servco separation - MNOs are becoming more like last mile data carriers, although they retain a strong presence in "products" for now (primarily because of the British public's obsession with free handsets). More...

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Matthew Guest
Strategy Manager at Deloitte MCS
Office: London

Joined industry in 2003
Based in London
Member since 2 Sep 2008
Last login 5 months ago

Hi, my name is Matthew Guest and I'm a career strategy consultant, specialising in telecoms and media. I've worked with major mobile and fixed telecoms companies, global media conglomerates and regulators on a wide variety of corporate and technology strategy issues. My major interests related to convergence include the social impact of technology, applications of future data networks, machine learning and (of course!) the route to monetising all of the above.

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