Internet of Things: The Most Sustainable Business Model Ever?

1) Energy, Water, Waste, Civic Engagement: Since the Internet of Things (IoT) works to combine data from various sources into one integrated, usable platform, this technology has the opportunity to benefit many environmental categories.

2) Article Title: Internet of Things: The Most Sustainable Business Model Ever?
Website: Triple Pundit
Link: here

  • As stated in the article, “the Internet of Things is a business model that reduces waste and streamlines processes, promising to deliver greater value from a smaller amount of resources”. Therefore, by employing IoT models, we can achieve greater efficiency and seamless integration across platforms.
  • The article highlights the fact that it was the onset of the internet which disrupted how everything worked before the technological age, so it’s the internet which will also allow for us to continue to upgrade and integrate systems into the future.
  • Future disruptions due to internet advancements are expected to be “enabling”, as opposed to “disruptive”.
  • The value of IoT comes from the ability to collect huge quantities of data and cross-analyze the data to come up with meaningful information.
  • This level of analytical specificity was never possible before the onset of the internet. Now that we have the new capabilities to get into minute details and cross-analyze various data clusters, we are able to reach analytical depths never before imaginable. This can facilitate the transition into a more integrated, efficient, and sustainable future that is able to flex with the changing times.

3) Organizational stakeholders: data software developers, data analyzers, data centers, tech companies, governments, NGOs, private businesses, various market sectors including energy, tech, waste, agriculture, buildings/real estate, transportation, etc. Stakeholders for the IoT are far-reaching.

4) The first 3 steps in deploying this technology:

  • Continue to develop ways to collect data
  • Continue to develop ways to analyze data
  • Keep data platforms non-proprietary so that they can be used across industries/companies/disciplines/sectors

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