In Weekly disruption feed

Enjoy this weekly feed of inspiring, interesting and intellectual articles and news, with a focus on disruption!

 

 

Legacy IT, waiting to be disrupted? (or hacked?!)

The US government recently released a report on its IT spending ($89 billion). The summary, legacy is expensive! The share of the IT spend that goes to development and modernization has decreased the last seven years, because of maintenance and problems with legacy systems. Several systems are over 50 years old, meaning modern hackers surely can find a way in.
The same situation goes for many banks, many banks are plagued by computer systems that have been built up over several decades and today form a costly and complex patchwork of systems. Large IT upgrades or updates often fail because banks are afraid that if one systems fails, the whole thing might crash. All this means high risk of outages but perhaps more importantly, slow IT. That leaves many doors open for new entrants coming to disrupt the industry!

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Time from idea to prototype shortening!

The time between idea and physical build is now close to zero. As the world’s markets change faster and faster, decreased lead times in R&D is critical for many companies and we have seen a lot of innovations making this possible. One important step in the product development process is the process of creating physical prototypes. ReForm is the name of the machine that will cut prototyping time even more. It incorporates both subtractive and additive (3D printing) technology and thus giving the designer the possibility to add and remove material continuously. It also contains a 3D scanner that monitors the prototype and continuously updates a digital replica of it. This feature makes it possible for the designer to work both physically and digitally on the model in real time.

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Robots that ‘feel’ pain?!

German scientists are training robots to ‘feel’ pain. The robotic nervous system classifies pain as light, moderate (such as strong collisions) or severe (anything that can damage the machine). Each type triggers an appropriate response. While the goal is to prevent them from getting damaged and needing costly repairs, this could also lead to more human-like robots than ever!

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