
Web 3.0
Intelligent Ecosystem Offerings
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A Web 3.0 Intelligent Ecosystem combines distributed data with artificial intelligence (AI), and other advanced robtic technologies, to manage and regulate the health and functioning of real world ecosystems.These highly distributed platforms typically secure data feeds from various sources, such as environmental sensors, monitoring systems, and a host of edge devices, to create the ecosystem's digital twin. Then by employing a transparent mesh of machine learning services, the platform is able to offer real world interventions in the best interest of the ecosystem as a whole.
What makes an Intelligent Ecosystem based on Web 3.0 different from the legacy Information Technology stacks of Web 2.0?
There are two key differences between an Intelligent Ecosystem based on Web 3.0 (IE3) and the legacy Information Technology stacks of Web 2.0. These are:1. The exceptional security of blockchained data streams, and2. The transparent ownership of machine learning models accompanied by an equity stake in their training.Unlike Web 2.0 IT systems IE3s are typically designed around capabilities based security architecture and transparent layers of highly-adaptable machine learning models which can change how they analyze and learn from data in real-time.Combining these two game changing innovations into a single solution enables IE3s to make autonomous adjustments as needed. The end result: The ecosystem itself can respond more quickly and effectively to changing conditions, allowing participants to focus on the value associated with more precise and targeted human interventions.


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Ad-hoc human interactions with Web 2.0 based systems usually require frequent manual adjustments of hierarchical trust controls. As such they suffer untimely delays in the training and revised deployment of machine learning models; but IE3s are designed to be more autonomous and self-regulating by using transparent layers of AI and other advanced technologies to analyze highly secure data in order to make model revisions either on their own, or with the timely intervention of capable human stakeholders.Subscribe to our newsletter to keep abreast on how to reduce the need for human intervention while makeing the regulation and management of your ecosystems more secure, more efficient, and highly effective in achieving lifetime goals, operational agility, and shared public policy objectives.

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