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Kensho | March 22, 2021
Kensho NERD, a machine learning system, was launched this week by Kensho. This system can release the full potential of textual data by finding objects referred to in documents, newsfeeds, or any other text and linking each to a matching database.
NERD, or Named Entity Recognition and Disambiguation, was developed by Kensho’s Natural Language Processing team, which focuses on machine learning research and engineering related to analyzing and understanding human language. Thi...
technode.com | January 22, 2020
Why it matters: The Xi Jinping leadership has vowed to bridge China’s urban-rural gap, which dates back to the Mao era. It has settled on digital agriculture as the answer.Digitalizing farming can raise average incomes and mobilize the rural consumer class. The next wave of growth will come not from top-tier urban hubs such as Beijing or Shanghai but from lesser-known third and fourth-tier cities. The Digital Agriculture and Rural Area Development Plan 2019-2025” acknowledges (in Chi...
RNDC | December 21, 2020
Republic National Distributing Company (RNDC) and LibDib, today unveiled a joint data analytics lab that is creating AI (computerized reasoning) calculations for the two merchants' discount advanced trade insight. The joint exertion has started energizing understanding, mechanization and man-made reasoning into both the LibDib and eRNDC computerized business stages to profit clients, providers and the RNDC salesforce. The new lab is an augmentation of the joint computerized stage work the tw...
AtScale | March 17, 2022
AtScale, a leader in providing semantic layer solutions for modern business intelligence and data science teams, has been named a Snowflake Premier Partner. While using the full flexibility and potential of the Snowflake Data Cloud, AtScale can help Snowflake users construct a semantic layer for data and analytics that streamlines and accelerates business intelligence (BI) and data science initiatives.
Tarik Dwiek, Head of Technology Alliances at Snowflake said that “We are ...
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