Cloud computing and the Internet of Things (IoT) – two of the biggest technologies of the last few years, and two trends on a collision course set to completely transform the world around us.
Cloud platforms and services are already well established, both from a consumer and a business perspective, having impacted many aspects of our daily lives. New cloud innovations are constantly emerging, but it’s when we add IoT into the mix that things start to get really interesting.
The IoT industry is set to experience explosive growth over the coming years. Analyst firm IDC predicts that worldwide IoT spending will reach $745 billion in 2019, a significant increase from the $646 billion spent in 2018.
This growth will drive a transition to a world of ambient technology, a future in which unseen enablers exist all around us – central to how we communicate and function day to day, and accessible to anyone. This growth will result in exponential increases in the amount of data being created, analysed and stored, and so cloud service providers will have a key role to play in engineering this view of the future.
However, is cloud alone the best answer to the scalability and management challenges that the transition to the world of ambient technology will undoubtedly bring? And if not, could Edge-AI prove to be the missing piece of the puzzle?
A step too far for cloud?
While it’s true that IoT presents a huge amount of possibilities for businesses in all industries, it also creates some significant technical issues that will have to be overcome. These primarily revolve around coping with growing data quantities as IoT continues to grow.
One of the great benefits of cloud platforms is that they enable users to manage and work with more data than they ever could before – from the biggest

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