Is the Decentralization of the IoT and AI Possible with OLPORTAL’s Chatbots?
Source: https://medium.com/@olportal.ai/is-the-decentralization-of-the-iot-and-ai-possible-with-olportals-chatbots-1a9df50da81?source=rss------internet_of_things-5
Is the Decentralization of the IoT and AI Possible with OLPORTAL’s Chatbots?
If we look at the top ten smart cities from the Cities in Motion Index developed by the IESE Business School at the University of Navarra, we can see a specific trend in the way data management and AI are imagined. The index cuts across indicators relating to human capital, social cohesion, environment, mobility, technology, urban planning, and governance to name a few.
But most of these cities have “Smart Cities Projects” explicitly named as such, and all of these are based on centralized automated monitoring systems for the management of different amenities and resources of these cities. All these projects use AI at a much higher level and give very little control to the individuals.
Internet of Things has allowed people to remotely monitor and carry out higher precision in many processes that had formed an integral part of the industrial societies for a long time. They have made things more efficient and cost-effective and made planning possible at a much broader scale than ever before.
Financial systems, power grids, railway, all have been integrated into large networks based on Cloud. These are generally either owned by governments or multi-national or national corporations. These by default are repositories of immense amounts of data. It is for this reason Artificial Intelligence has been used to make use of this data for greater analytical efficiency and managerial efficacy of the processes of business, governance of transport, natural resources, and basic amenities across different cities around the world. Artificial Intelligence has thus made the task easy for the people on top.
However, for both the people holding certain authority or positions in the administrative systems of governments and corporations and the beneficiaries of the services and amenities provided by these organizations, the consequence is that of greater impersonalization. It is here that the conversational AI systems like chatbots are being brought in. Yet some major problems remain because of the centralized design of these savers.
The data is often traceable to individuals whose data is stored on the systems. This not only makes the systems often inefficient and vulnerable to attacks but also makes the clientele vulnerable to any form of a breach into the server. The systems also fail to provide greater transparency and participation of the stakeholders despite the use of conversational AI.
Blockchain-Based Systems for Greater Efficiency and Reach
Decentralized platforms based on the blockchain can create greater protection against attacks, and this inevitably means better security for the clients whose data is stored on the servers of the organizations. Especially since most of the data is very sensitive, be it in terms of travel information or the expenditure on household amenities, it can be necessary for ensuring greater rule of law and the process of justice.
Platforms like OLPORTAL provide us with the tools to create decentralized forms of chatbots for the management of the Internet of Things. These are although pre-trained, allow for later training at an individual level creating greater participation at all levels. The stake-holders can, therefore, feel much more empowered and protected in this data-driven society with a blockchain-based decentralized platform.
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