Will Google Glass actually launch

This is a product - so long in the hype that personally I've lost interest in it.

I wonder if others have also lost interest - and that Google's own market research is indicating that it won't fly.

The tech is interesting - but they look so dam silly - like a sell out to the net - an end of individualism - as Google feeds your brain with snippet rubbish.

But I might be wrong!!

Bitcoin to enable mobile micro-payments

???

The one thing holding back mobile - is micro-payments - a few cents for an image or an audio etc....

I wonder if Bitcoin could be the solution.

A list of medical biometric sensors for mobile phones

Here are some examples from AliveCor's heart monitor.

In this case heart rate per minute!

Here is the list:

COMPANY	TYPE	WEBSITE
LifeWatch V	Purpose Built Smartphone	http://www.lifewatchv.com/
AliveCor	Moble Phone ECG	http://www.alivecor.com/
QualcommLife		http://www.qualcommlife.com/
mHealthAlert	Pulse oximeter	http://www.mhealthalert.com
ActiHeart	Heart	http://www.camntech.com/products/actiheart/actiheart-overview?gclid=CJiqmNOEibYCFcrHtAodJ1oA_A
Withings	Activity - bio-impedence	http://www.withings.com/
mHealthAlert		http://www.mhealthalert.com
mHealthAlert, entrahealthsystems		http://www.mhealthalert.com/index.php/en/
Affectiva		www.affectiva.com
Toumaz
LifeScan		http://www.lifescan.co.uk/ourproducts/meter/one-touch-ultratwo
Entra Health Systems		http://www.entrahealthsystems.com/
FitBIT	Activity + sleep Tracker	http://www.fitbit.com/
HapiFork	Monitors eating habits - plus has sensors for sleep + stress	http://www.hapilabs.com/
AT&T M Health Site		https://mhealth.att.com/
careinnovations		http://www.careinnovations.com/products/quietcare-assisted-living-technology

Machine Learning to identify Ad Servers in Clickstream

Being able to sift through the clickstream of thousands of people is interesting in the search of insight is a fun task.

However clickstream is fill of noise:

• Ad servers;
• Iframes
• Analtyics trackers (adsence, commscore etc...)

Ad servers are particularly annoying - they are shape shifters - continually adding changing both domains and subdomains.

However - noise has patterns:

• Referrers
• Redirect Codes
• HTTP Headers
• In-discriminant appearances across the web.

These are the sort of patterns that machine learning could eat for breakfast!

Context is required for Machine Learning to understand Human Behavior

Ok someone takes a photo of a building right in front of them - what is the name of the building?

Unless that building is the Taj Mahal - it could take a huge library of photos (akin to Streetview's database) - and a lot of processing time - to work out what and where that building is. Then - if the building happens to be a generic block - similar to thousands - you have no chance.

However, it you know - the location - where the photo was taken - thinks become much simpler - and a hacker without access to a super computer (or Amazon's redshift) - will be able to solve this problem.

The key here is context.

The same applies to human behavior,

We can look for patterns - in someone's browsing history and search terms - however those patterns become more accurate/reliable and powerful when we have their clickstream + context:

• Their location;
• Their actual income (as opposed to census data)
• Examples of their shopping bill;
• Their relationships;
• Their Gender;
• Their work history and occupation.

Context - is therefore what the Market Research industry can add to machine learning models on insight.

Functional Drinks - The Recipe depends on your Biometric Readings

I think somewhere in Mexico - there is an experiment - where basically they mix you a drink (electrolytes not booze!) based on analyzing - your needs (biometric measurements).

Very Star Trek - although this was an experiment - it points to of future of "ultra-personalisation".

In a branding sense it means - ok people will still want to be part of a given brand - but the products will be ultra tailored to the customer.

A Smart Watch needs Biometric Input to be defining

I'm interested in the iWatch - and it is something I might buy as I think it could be defining.

So, therefore I was interested when Samsung - released the Galaxy Gear - however it looks disappointing - with a one day battery life - making it essentially a prototype - that is going to be launched into the market.

I think that biometric sensors - will be required to make the product hot!

In a way the device can be even - further integrated into the life of a user - thanks to these sensors.

Without them - hmmmm - I would just stick to a smartphone.