Recent breakthroughs in artificial intelligence (AI) are shaping the future of humanity across nearly every industry. Tools like ChatGPT and MidJourney demonstrate how practical AI technology can be for business and new discoveries.
Across industries, bringing AI into blockchain delivers new opportunities. AI can help advance almost every field including Healthcare, life sciences, financial services, and supply chain. AI is already the main driver of emerging technologies like big data, robotics, the Internet of Things (IoT)
Thanks to the influence of AI and machine learning, data scientists are able to gain insights we could only dream of just a few decades ago. With such momentum building around the space, AI will continue to act as an innovator for the foreseeable future.
Crypto Projects Focused on AI and Big Data
Using blockchain to store and distribute AI models provides an audit trail, and pairing blockchain and AI can enhance data security. AI can rapidly and comprehensively read, understand and correlate data at incredible speed, bringing a new level of intelligence to blockchain-based business networks.
By providing access to large volumes of data from within and outside of the organization, blockchain helps AI scale to provide more actionable insights, manage data usage and model sharing, and create a trustworthy and transparent data economy.
1. Fetch.ai (FET)
Fetch.AI is an artificial intelligence lab building an open, permissionless, decentralized machine learning network with a crypto economy. FET enables power peer-to-peer applications with automation and AI capabilities, with or without direct access to a blockchain.
The Fetch.ai network is an interchain protocol, based on the Cosmos-SDK, and uses a high performance WASM-based smart contract language (CosmWasm). The FET token is the primary medium of exchange within the Fetch.ai ecosystem. If you want to pay for services provided by Fetch.ai, you pay in FET.
2. Numeraire (NMR)
Numerai is blockchain-based software that gives stock market forecasts and makes investments based on artificial intelligence. Users download data, build a model, and upload their predictions. The platform turns the stock market into a big data science problem and incentivizes the participants to make correct predictions.
Numerai is essentially a global artificial intelligence tournament to solve the stock market. The platform uses the technology of artificial intelligence and machine learning to make investments in stock markets globally. The platform aims to provide quality data that is clean, regularized, and usable.
3. SingularityNet (AGIX)
SingularityNET is a blockchain-powered platform that allows anybody to easily “create, share, and monetize” AI services, thanks to its globally-accessible AI marketplace. Developers publish their services to the SingularityNET network, where they can be used by anyone with an internet connection. Developers are able to charge for the use of their services using the native AGIX token.
SingularityNET team includes seasoned engineers, scientists, researchers, entrepreneurs, and marketers. Our core platform and AI teams are further complemented by specialized teams devoted to application areas such as finance, robotics, biomedical AI, media, arts and entertainment.
4. Ocean Protocol (OCEAN)
Ocean Protocol is a blockchain-based ecosystem that allows individuals and businesses to easily unlock the value of their data and monetize it through the use of ERC-20 based datatokens. The OCEAN utility token is used to stake on data for curation, and buy & sell data. Its supply is disbursed over time to drive near-term growth and long-term sustainability.
Ocean Protocol unlocks access to data that would previously be unavailable or challenging to access, by allowing anybody with sought-after datasets to tokenize their data and make it available on the Ocean Market. The core team at Ocean Protocol is supported by an extensive list of advisors — many of which are experts in AI, blockchain, big data and business, and have developed and managed their own successful companies.
5. The Graph (GRT)
The Graph is an indexing protocol for querying networks like Ethereum and IPFS. Anyone can build and publish open APIs, called subgraphs, making data easily accessible. All data is stored and processed on open networks with verifiable integrity. The Graph makes querying this data fast, reliable, and secure.
GRT is an Ethereum token that powers The Graph, a decentralized protocol for indexing and querying data from blockchains. Subgraphs can be composed into a global graph of all the world’s public information. This data can be transformed, organized, and shared across applications for anyone to query with just a few keystrokes.
Just as Google indexes the web, The Graph indexes blockchain data from networks like Ethereum and Filecoin. Before The Graph, teams had to develop and operate proprietary indexing servers. This required significant engineering and hardware resources and broke the important security properties required for decentralization.
6. iExec (RLC)
iExec is the leading provider of blockchain-based decentralized computing. Blockchain is utilized to organize a market network where people can monetize their computing power as well as applications and even datasets.
The iExec Web3 infrastructure combines blockchain and Confidential Computing. No blockchain experience is necessary to use the platform, developers only need a data source and a web browser.
The core team at iExec is composed of seasoned scientists and is built upon the work of team members who have done INRIA and CNRS research in the field of desktop grid computing.
The RLC token is an ERC-20 asset that allows users to Build Web3 apps., Trade computing assets., Preserve ownership, and maintain privacy. The iExec marketplace uses RLC to conduct transactions.
What is AI?
Artificial Intelligence (AI) leverages the power of computers and machines to replicate the problem-solving and decision-making capabilities of the human mind. Graphic Processing Units (GPUs) are the main drivers of AI computing.
AI models make it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. It can reduce the time taken to perform a task and can work without interruption or breaks. This form of technology enables multi-tasking and eases the workload for existing resources.
What is Big Data?
The term “big data” refers to information that is so large, fast or complex that it’s difficult or impossible to process using traditional methods. These data sets can be very diverse and grow at exponential rates.
Big data can be mined for information with AI and used in machine learning projects, predictive modeling and other advanced analytics applications. It is currently being used in areas like medicine, agriculture, gambling and environmental protection.