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Measuring Text Similarity Using BERT

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon BERT is too kind — so this article will be touching. The post Measuring Text Similarity Using BERT appeared first on Analytics Vidhya.

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The new challenges of scale: What it takes to go from PB to EB data scale

CIO Business Intelligence

This can be achieved by utilizing dense storage nodes and implementing fault tolerance and resiliency measures for managing such a large amount of data. How is it possible to manage the data lifecycle, especially for extremely large volumes of unstructured data? Focus on scalability.

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Understanding Social And Collaborative Business Intelligence

datapine

Social BI indicates the process of gathering, analyzing, publishing, and sharing data, reports, and information. This is done using interactive Business Intelligence and Analytics dashboards along with intuitive tools to improve data clarity. Popularity is not just chosen to measure quality, but also to measure business value.

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Reducing administrative burden in the healthcare industry with AI and interoperability

IBM Big Data Hub

Just in 2020, the Centers for Medicare and Medicaid Services (CMS) published a rule for healthcare systems whereby patients, providers, and payers must be able to easily exchange information. Why is data interoperability an imperative?

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Do I Need a Data Catalog?

erwin

Data catalogs combine physical system catalogs, critical data elements, and key performance measures with clearly defined product and sales goals in certain circumstances. A data catalog uses metadata, data that describes or summarizes data, to create an informative and searchable inventory of all data assets in an organization.

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The Incredibly Important Role Of Big Data In Academia

Smart Data Collective

According to a 2015 whitepaper published in Science Direct , big data is one of the most disruptive technologies influencing the field of academia. At the stage of data collection, the development of regulatory measures to collect missing data from educational organizations to achieve representativeness of the sample.

Big Data 100
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How a Discovery Data Warehouse, the next evolution of augmented analytics, accelerates treatments and delivers medicines safely to patients in need

Cloudera

Sample and treatment history data is mostly structured, using analytics engines that use well-known, standard SQL. Interview notes, patient information, and treatment history is a mixed set of semi-structured and unstructured data, often only accessed using proprietary, or less known, techniques and languages.