IoT and AI Can’t be Separated
Quite a number of tech journalists have been explaining the Internet of Things like this:
• Strategy Analytics state that software systems for big-data analytics will see a lot of growth, with the market being worth $81 billion by 2022
• Gartner claim that Smart Cities will be using 1.6 billion interconnected things by 2016
• McKinsey claim that by 2025 IoT will provide a $1.6 trillion opportunity in the healthcare industry
• Cisco estimate that more than 50 billion interconnected devices will be existent by 2020
• ABI Research claim the amount of data captured by interconnected IoT devices will exceed 1.6 zettabytes by 2020
• 10 major factions will fight it out to become the single interoperating IoT standard
So many numbers! Let’s take a look at why IoT and AI can’t be separated.
If you believe these predictions, it will be impossible for the analytical solutions in current use to cope with managing these expected amounts of information across the entire scale of the connected landscape. There is no platform that singularly needs artificial intelligence, however in the near future it will be required by all solutions. All of the big players including Oracle, SAP, Cisco, IBM and others who have their own analytics platform in play will be required to work on their AI research in order to emerge with solutions that rely on methods over and above machine learning.
The risk in not doing this is simply to be left behind.
However, these companies are already trailing in the wake of consumer driven companies like Google, Apple and Facebook. It will certainly be one of these companies that is immersed in the world of consumerism where the real breakthrough will come from, leaving the sciences and academia behind.
Facebook made an announcement recently that their Parse project, which is related to IoT, is being expanded by the application of new SDKs by silicon vendors including Intel, Broadcom, Texas Instruments and Atmel. Facebooks’ intention is to facilitate the funneling of data interacting between devices, and also to humans, allowing the amount of data made available for their AI projects to gain understanding of behavioral patterns and will lead them to governance and control over the IoT network.
So, do you think IoT and AI can and should be separated? Or are they bound to overlap in a growing world of human-device interactions? Share your thoughts by commenting below, or on our Facebook or twitter pages.