Article: Weaviate is an open-source search engine powered by ML, vectors, graphs, and GraphQL

Free, Open Software, Open Source

Weaviate is an open-source search engine powered by ML, vectors, graphs, and GraphQL

Bob van Luijt’s career in technology started at age 15, building websites to help people sell toothbrushes online. Not many 15 year-olds do that. Apparently, this gave van Luijt enough of a head start to arrive at the confluence of technology trends today.

Van Luijt went on to study arts but ended up working full time in technology anyway. In 2015, when Google introduced its RankBrain algorithm, the quality of search results jumped up. It was a watershed moment, as it introduced machine learning in search. A few people noticed, including van Luijt, who saw a business opportunity and decided to bring this to the masses.

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Article: Data, analytics, machine learning, and AI in healthcare in 2021

Innovation, Language, Open Data, Open Health, Open Space, Procedures (Medical)

Data, analytics, machine learning, and AI in healthcare in 2021

The survey was conducted by Lorica and Paco Nathan, and sponsored by John Snow Labs. A total of 373 respondents from 49 countries participated. A quarter of respondents (27%) held Technical Leadership roles. Here are some key findings, with additional insights from Lorica and Talby.

When asked what technologies they plan to have in place by the end of 2021, almost half of respondents cited data integration. About one-third cited natural language processing (NLP) and business intelligence (BI) among the technologies they are currently using or plan to use by the end of the year.

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Article: Streamlining data science with open source: Data version control and continuous machine learning

Open Software, Open Source

Streamlining data science with open source: Data version control and continuous machine learning

MLOps, short for machine learning operations, is the equivalent of DevOps for machine learning models: Taking them from development to production, and managing their lifecycle in terms of improvements, fixes, redeployments, and so on.

MLOps, short for machine learning operations, is the equivalent of DevOps for machine learning models: Taking them from development to production, and managing their lifecycle in terms of improvements, fixes, redeployments, and so on.

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