How the Internet of Things will impact the Cloud

How the Internet of Things will impact the Cloud

Daily, 5.5 million new ‘things’ are connected to the internet. From fridges, to robots to factory equipment: the Internet of Things is growing fast. And with this is the amount of data. All of this data has to be processed and stored. Atos and Google can help you use the full potential of IoT and thereby accelerate innovation.

Ever-growing IoT and the Cloud
Gartner predicts that over 25 billion devices will be connected to the Internet by 2020. A big part of the data produced by IoT devices is processed and stored in the Cloud. The ever-growing amount of IoT devices means the Cloud has to adapt; it needs to scale and IoT devices need to be visible to the Cloud and the other way around. In addition, machine learning capabilities must be scaled and adapted so it can further enhance IoT, leading to a better collaboration between IoT and the Cloud. 

Atos developed a special program, Codex IoT, to optimize your usage of IoT and the Cloud. Whether it is about customer experience, financial reporting, sustainability or operations, Atos can help you. With Atos as a partner, IoT will make a vital contribution to your digital transformation journey.

“And just like any company that blissfully ignored the Internet at the turn of the century, the ones that dismiss the Internet of Things risk getting left behind.”

Jared Newman Tech Journalist

Devices as dangerous as computers
Seemingly harmless devices can suddenly become dangerous when they become IoT devices: they are exposed to risks when connected to networks, just like your computer.

This means security measures must be taken, and must be as good as those on your computer. This is true for an astonishing amount of devices. Google’s IoT platform, as well as Atos, have a special focus on security and treat many different aspects. 

Accelerating innovation with IoT
Connected devices and their data offer great opportunities for new innovations in almost every sector. For example; sensors on machines can predict when maintenance is needed - occasionally saving weeks of downtime when machines suddenly stop functioning. Or take sensors in a truck, which can give truck owners information on the load, helping monitor unauthorized goods transported by truck drivers. 

The next evolution
The expansion of the Internet of Things means the amount of data at the edge of networks keeps increasing. To handle this data efficiently, Google has developed a new technology: Edge Computing. With Cloud IoT Edge, teams can train and build machine learning models in the cloud that operate on the Edge TPU Chip, located on IoT devices at the edge of networks.

By applying machine learning capabilities at the edge of networks, many advantages are unlocked. For example; technology does not depend on a good internet connection, which might be useful for in-shop applications, warehouses, or video-and audio applications that demand real-time processing – or when devices are simply unable to create a safe connection with an external network or the internet. In addition, analyses can be performed at a higher pace if this occurs at the edge of a network. With solutions such as Cloud IoT Edge and Google’s Android Things, Google offers a solid IoT strategy to meet the challenges of your organization.