Why Decentralization is Important for the AI Industry

  • On the data front, there is not only a lack of availability of quality data sets for training, as these systems are centralized and tampered by a huge user base with no stake in the progress of the technology, but concerns regarding privacy also exist. Centralized systems make the users’ data virtually available to the host server, making it unsafe for many users to trust such systems with sensitive information. Moreover, labeling in assisted models can be a problem, since often the huge data sets mined by the systems are beyond human resource capabilities of the companies responsible for labeling them.
  • Human resource constraints in terms of trained experts is also a problem in the sector, as very few people are capable of actually designing such systems and assisted easy to use modules are very rarely available.
  • Finally, business integration and marketing appears as a major issue for the AI sector. While very few clients actually recognize the need for AI integration within their business, it is often difficult for many of the smaller firms to get in touch with the larger service providers. That is to say, the market suffers from a lack of communication, which is detrimental for both service providers and potential clients.

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The world's first decentralized marketplace for AI-powered bots. iMe messenger with the Artificial Intelligence dialogue function.

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OLPORTAL.ai

OLPORTAL.ai

The world's first decentralized marketplace for AI-powered bots. iMe messenger with the Artificial Intelligence dialogue function.

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