Inspiring example: Teddy the Guardian

January 31, 2014
teddy the guardianWhat a wonderful idea: a cute teddy bear full of sensors to track vital signs of the kid who is playing with it. Vulnerable babies will be measured and monitored without being bothered. And even better, the data collected will be more accurate than when they are bothered by a nurse or doctor. As well as taking measurements, nurses and parents can also communicate with their children remotely by playing songs and recording bedtime stories through the toy.Two master students from Zagreb, Croatia, Josipa Majic and Ana Burica, came up with the idea and their joint baby, Little Teddy the Guardian, is now for sale at 169 EUR. He keeps an eye on health parameters like heart rate, oxygen saturation, body temperature, and stress levels. The idea behind disguising medical tech in a lovable toy is to provide pediatricians as well as parents with more accurate, consistent and reliable data points that will give a meaningful and complete insight in the child’s health condition. Every time a child takes Teddy The Guardian by the hand or puts Teddy’s paw on his forehead sensors detect the values, capture them and transmit in real-time to a mobile app where data is analyzed, visualized, managed and downloaded by the medical staff and parents.

I can see a lot of applications where sensors embedded in something else could open new possibilities and opportunities.


No news is good news – M2M will remain fragmented!

December 5, 2013

gold-bars-3Data is the gold of M2M! This remains the most important thing to keep in mind when trying to understand where the industry is going. When collecting the data from sensors and sub-systems of all sorts, we need to understand the context in order to turn the data into useful information. Data analysis without understanding the context opens up for poor conclusions and decision-making down the road. No news here! The value of the information created appears when the information is properly integrated into business systems, decision-making systems, etc. No news here either!

The good news is that the need to understand the context for the data collected and the fact that value materialize when the information is integrated into ERP systems, processes and decision-making systems clearly points towards a fragmented market with successful players focused on industries or functions. Good news is that this is how the software industry has been structured for years. And efficiency is achieved by generic platforms, tools and API:s which specialized applications can utilize.

Since M2M will have to become an international business to benefit from scale this brings us a “glocal” value chain like this: customized or specific software provided to customers by local integrators, resellers or consultants working with specialized international M2M Service Enablers. Software used is based on generic platforms, tools and API:s – this is where Oracle, IBM, Microsoft, SAP and others come in. And the M2M Service Enablers are agnostic to devices and connectivity. And sensors are provided by a variety of specialized companies. 

Voila!

So which conclusions could we draw? The three most important conclusions to me are that:

  • M2M Service Enablers need to be agnostic to connectivity and device
  • there are many M2M Service Enablers in each country today and only the ones who are really specialized, context aware, will survive when it becomes an international market
  • generic software companies as well as connectivity providers need to figure out how to work with the best M2M Service Enablers

%d bloggers like this: