3 digital technologies that are disrupting the testing inspection and certification industry

3 digital technologies that are disrupting the testing inspection and certification industry

Organisations providing testing , inspection and certification services perform a vital function for industry and consumers. They ensure products and services conform to standards or are maintained and operate safely.   Digital technology is revolutionising how this industry works and is a key becoming the key competitive differentiator. Here’s an overview of 3 technologies that are disrupting the way TIC organisations serve their customers.  

Internet of Things (IoT)

The internet of things (IoT) is a network of physical objects  that use sensors and interfaces to connect and exchange data over the Internet.  IoT objects can ‘self report’ their status bypassing the need for human intervention. But IoT isn’t just about efficiency. Gathering information remotely and continuously as an alternative to one-off, time-dependent physical inspection events is a game changer when combined with data analytics tools.  

Mobile

Although mobile is now in its 10th year the use of mobile applications within industrial sectors is still it in its nascent stages.  Sophisticated device sensors , robust security models and hybrid development technologies have matured to support demanding business needs.   In its most basic incarnation mobile replaces paperwork with online forms. However, well designed applications guide the user with workflows which make inspector’s jobs more efficient  and can reduce data entry errors. The nature of field work means that a continous data connections is never guaranteed. Mobile applications must function on an ‘off-line first’ mode. Background synchronisation  is no longer a feature but an essential requirements for all fields based workers. When combined with powerful connected cloud computing platforms mobile can deliver huge efficiencies to fields based ceritiers and inspectors.

Artificial Intelligence  (AI)

Data generated by mobile and IoT devices has resulted in an exponential rise in data. Unstructured data in essence is the fuel for AI. Combined with the relatively inexpensive cloud computing  power hosting the new generation of parallel processors AI has become as a commercially via technology. The result is failure modes can be predicted as accurately as skilled inspectors but at a scale and performane that suprasses humans.