Medical Officer, Department of Glaucoma and Research, Mahathma Eye Hospital Private Limited, Trichy, Tamil Nadu, India.
Consultant Optometrist, Department of Optometry and Visual Science, Mahathma Eye Hospital Private Limited, Trichy, Tamil Nadu, India.
Indian J Ophthalmol. 2022 Jun;70(6):2188-2190. doi: 10.4103/ijo.IJO_143_22.
Big data has been a game changer of machine learning. But, big data is a form of centralized version of data only available and accessible to the technology giants. A way to decentralize this data and make machine learning accessible to the smaller organizations is via the blockchain technology. This peer-to-peer network creates a common database accessible to those in the network. Furthermore, blockchain helps in securing the digital data and prevents data tampering due to human interactions. This technology keeps a constant track of the document in terms of creation, editing, etc., and makes this information accessible to all. It is a chain of data being distributed across many computers, with a database containing details about each transaction. This record helps in data security and prevents data modification. This technology also helps create big data from multiple sources of small data paving way for creating a well serving artificial intelligence model. Here in this manuscript, we discuss about the usage of blockchain, its current role in machine learning and challenges faced by it.
大数据是机器学习的游戏规则改变者。但是,大数据只是数据的集中化形式,只有技术巨头才能获得和访问这些数据。通过区块链技术,可以将数据去中心化,使较小的组织也能够使用机器学习。这种点对点网络创建了一个可供网络中的人员访问的公共数据库。此外,区块链有助于保护数字数据,并防止由于人员交互而导致的数据篡改。该技术可以实时跟踪文档的创建、编辑等情况,并使所有人都能访问这些信息。它是一个分布在多台计算机上的数据链,数据库包含有关每个交易的详细信息。该记录有助于数据安全并防止数据修改。这项技术还有助于从小数据的多个来源中创建大数据,为创建服务良好的人工智能模型铺平道路。在本文中,我们讨论了区块链的使用、它在机器学习中的当前作用以及它面临的挑战。