Adoption of AI within the IoT Ecosystem
Farnell has published new research on the IoT which confirms strong adoption of Artificial Intelligence within IoT devices, alongside new insights on key markets, enablers and concerns for design engineers working in Internet of Things.
AIoT is the major emerging trend from the survey, demonstrating the beginning of the process to build a true Internet of Things ecosystem. Research showed that almost half (49%) of respondents already use Artificial Intelligence in their IoT applications, with Machine Learning the most used technology (28%) followed by cloud-based Artificial Intelligence (19%).
This adoption of Artificial Intelligence within IoT design is coupled with a growing confidence to take the lead on IoT development and an increasing number of respondents seeing themselves as innovators. However, it is still evident that some engineers (51%) are hesitant to adopt AI due to being new to the technology or because they require specialized expertise in how to implement AI in IoT applications.
Other results from Farnell’s second Global IoT Survey show that security continues to be the biggest concern designers consider in IoT implementation. Although 40% cited security as their biggest concern in 2018 and this has reduced to 35% in 2019, it is still ranked significantly higher than connectivity and interoperability due to the type of data collected from “things” (machines) and humans, which can be very sensitive and personal. Businesses initiating new IoT projects treat Internet of Things security as a top priority by implementing hardware and software security to protect for any kind of potential threat. Ownership of collected data is another important aspect of security, with 70% of respondents preferring to own the data collected by an edge device as opposed to it being owned by the IoT solution provider.
Read full article @ http://engineerai.mystrikingly.com/blog/adoption-of-ai-within-the-iot-ecosystem
AIoT is the major emerging trend from the survey, demonstrating the beginning of the process to build a true Internet of Things ecosystem. Research showed that almost half (49%) of respondents already use Artificial Intelligence in their IoT applications, with Machine Learning the most used technology (28%) followed by cloud-based Artificial Intelligence (19%).
This adoption of Artificial Intelligence within IoT design is coupled with a growing confidence to take the lead on IoT development and an increasing number of respondents seeing themselves as innovators. However, it is still evident that some engineers (51%) are hesitant to adopt AI due to being new to the technology or because they require specialized expertise in how to implement AI in IoT applications.
Other results from Farnell’s second Global IoT Survey show that security continues to be the biggest concern designers consider in IoT implementation. Although 40% cited security as their biggest concern in 2018 and this has reduced to 35% in 2019, it is still ranked significantly higher than connectivity and interoperability due to the type of data collected from “things” (machines) and humans, which can be very sensitive and personal. Businesses initiating new IoT projects treat Internet of Things security as a top priority by implementing hardware and software security to protect for any kind of potential threat. Ownership of collected data is another important aspect of security, with 70% of respondents preferring to own the data collected by an edge device as opposed to it being owned by the IoT solution provider.
Read full article @ http://engineerai.mystrikingly.com/blog/adoption-of-ai-within-the-iot-ecosystem
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