Explain the following : Challenges facing the adoption of intelligent actions within IoT
• Machines’ actions in unpredictable situations
• Information security and privacy
• Machine interoperability
• Mean-reverting human behaviors
• Slow adoption of new technologies
Explain the following : Factors driving adoption of intelligent actions within the IoT
• Machines “influencing” human actions through behavioral-science rationale
Challenges facing the adoption of intelligent actions within IoT:
•Machines’ actions in unpredictable situations:
sometimes machine have to do a lot of task at the moment which can not be programmed in such a way to handle it . so in these unpredictable situation to perform such tasks (machine actions) is really challenging factor
•Information security and privacy: In this Era sceurity matters a lot to our day to day life
•Machine interoperability:
Interoperability, or the ability for two systems to communicate effectively, is a key factor in the future of machine learning. For banking, healthcare, and other everyday industries, we’ve come to expect that the platforms we use to exchange information can communicate seamlessly whenever we need them to.
•Mean-reverting human behaviors:
•Slow adoption of new technologies.
The Internet of Things (IoT) is an ecosystem of ever-increasing complexity, it’s the next weave of innovation
that will humanize every object in our life, which is the next level to automating every object in our life.
Convergence of technologies will make IoT implementation much easier and faster, which in turn will improve
many aspects of our life at home and at work and in between
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