In November 2022, ChatGPT was launched, a generative artificial intelligence (GAI) that became the fastest growing application in the history of the Internet (having reached ten million registered users in just forty days, while Instagram needed 355 days).
Since ChatGPT became popular, artificial intelligence (AI) has begun to emerge as the latest trend in the cryptocurrency asset space, as AI can be used to improve everything from security and scalability to user experience and market prediction.
According to a report by Moody’s Investors Service, artificial intelligence and information technology Ledgers Distributed technologies (DLT) aim to transform businesses, industries and economies around the world. The study highlights that AI will boost economic growth by increasing productivity through automating tasks, partially offsetting the effects of aging and population decline in many countries.
Separately, Goldman Sachs strongly maintains that there is currently no AI bubble, although concerns persist among analysts about the surge in market interest in AI and the resulting rise in technology stocks such as Case, among others in Nvidia, which have surpassed $1 trillion. . In market value.
If we focus on com. coinmarketcapwe find IA’s main crypto assets ranked in descending order in terms of market cap and Big data. Specifically, on September 29, 2023 there were a total of 183 Symbols Registered digital assets had a total market capitalization of $4.5 billion, while the total market capitalization of the cryptocurrency market on the same day reached $1.08 trillion.
We highlight the following AI crypto assets for their disruptive technology and growth prospects in the cryptocurrency market: SingularityNET (AGIX), Ocean Protocol (OCEAN), Fetch.ai (FET), and Numeraire (NMR). While Bitcoin saw a revaluation of +61.87% from January to September 29, 2023, SingularityNET (AGIX) did so by +304.42%, Ocean Protocol (OCEAN) by +94.67%, Fetch.ai (FET) by +140.13% and Number (NMR) by +0.64%.
Next, we will analyze each of these decentralized AI platforms:
Cingularity Net (AGIX)
It’s a market blockchain Decentralized and open source, it allows the sharing and exchange of a wide range of AI-based services, such as natural language processing, computer vision, and predictive analytics. It is also a marketplace for exchanging data, models, and other resources needed to train and improve AI models by taking full advantage of AI capabilities Machine learning.
Ocean Protocol (Ocean)
It is a decentralized, technology-driven platform blockchain Making it easier to share data and monetize, while ensuring your privacy and control. On this platform, data subjects can consent to the use of AI algorithms on their data, enabling the training of AI models that can lead to greater predictive accuracy of models and other benefits without compromising data privacy and control. Ocean Protocol provides the tools necessary for companies to create and launch their own data marts.
It’s a platform blockchain It provides solutions to everyday problems through intelligent machine learning and a data sharing marketplace, where AI-enabled agents can collect, analyze, and trade information themselves and on behalf of other users. This decentralized platform creates and deploys autonomous agents that can be used for a wide range of applications, such as supply chain management, transportation networks, smart energy grids, and decentralized finance (DeFi). across the Token FET, users can create and deploy their own digital twins on the network.
It is a platform that uses a combination of artificial intelligence, machine learning, and technology blockchain and data science to create financial forecasting models, which allow investment portfolios to be managed and improved. It works the same way as the platform commerce And hedge fund portfolio management. Numerai also allows data scientists to test and improve their models, while ensuring data security and privacy.
It is clear that some AI crypto assets are here to stay. we will see.
* Ismael Santiago Moreno, PhD Professor of Finance at the University of Seville
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