Technology
In the context of Data Science and Artificial Intelligence, technology refers to the tools, techniques, and methodologies used to collect, process, analyze, and interpret data. This includes hardware such as computers, servers, and storage devices, as well as software such as programming languages, data management systems, and machine learning algorithms. Technology also encompasses the infrastructure and platforms used to deploy and scale data-driven applications, such as cloud computing and containerization. In addition, technology plays a critical role in ensuring the security, privacy, and ethical use of data, through measures such as encryption, access controls, and data governance frameworks.
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- Real-time Data Processing: Real-time data processing refers to the ability to process data as soon as it is generated, without any delay. This involves the use of technologies and techniques that enable the processing of data in real-time, such as stream processing, ... Read More >>
- Recommender Systems: Recommender systems are a subclass of information filtering systems that predict the preferences or ratings that a user would give to a product. These systems are widely used in e-commerce, social media, and entertainment industries to prov ... Read More >>
- Architecture: In the context of Data Science, Architecture refers to the design and organization of a system that enables efficient and effective processing, storage, and retrieval of data. It involves the selection of appropriate hardware and software c ... Read More >>
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News Source: CNN on 2025-01-18
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News Source: Business Insider on 2025-01-18
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News Source: ABC News on 2025-01-18
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News Source: ABC News on 2025-01-17
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