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BigData as a Service (BDaaS) has revolutionized how organizations handle their data, transforming vast amounts of information into actionable insights. By leveraging cloud computing technologies, businesses gain access to advanced tools and resources that simplify data management and processing.
Cloudera, the hybrid platform for data, analytics, and AI, announced that it entered into a definitive agreement with Octopai B.I. Octopai) to acquire Octopai’s data lineage and catalog platform that enables organizations to understand and govern their data.
Databricks, the Data and AI company, today announced it has entered into a definitive agreement to acquire MosaicML, a leading generative AI platform. Together, Databricks and MosaicML will make generative AI accessible for every organization, enabling them to build, own and secure generative AI models with their own data.
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Unfortunately, when asked to define RAG, the definitions are all over the place. In this contributed article, Magnus Revang, Chief Product Officer of Openstream.ai, points out that In the Large Language Model space, one acronym is frequently put forward as the solution to all the weaknesses. Hallucinations? Confidentiality?
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In this blog post, we’ll explore some of the advantages of using a bigdata management solution for your business: Bigdata can improve your business decision-making. Bigdata is a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools.
In recent years, the term BigData has become the talk of the town, or should we say, the planet. By definition , bigdata analytics is the complex process of analyzing huge chunks of data, trying to uncover hidden information — common patterns, unusual relationships, market trends, and above all, client preferences.
In this contributed article, Paige Roberts, Open Source Relations Manager for Vertica by OpenText, works to demystify real-time data analytics: understanding definitions, categories, and strategies for unlocking value in the data-driven era.
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Women in BigData and LinkedIn hosted an empowering event The Responsible AI at Scale in LinkedIn HQ in Sunnyvale, CA on March 13 th , 2025, for people passionate about ethics, transparency and shaping the AI technologies of the future. I cant wait for the next Women in BigData event!
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Bigdata is playing an essential role in authentication. Bigdata is proving to be a vital component to that. How Does BigData Influence Multi-factor User Authentication? But what exactly a bigdata based multi-factor authentication is and how these solutions can help you. Enhance Security.
AI Engineers: Your Definitive Career Roadmap Become a professional certified AI engineer by enrolling in the best AI ML Engineer certifications that help you earn skills to get the highest-paying job. As one of the biggest trends in the emerging IT industry, artificial intelligence (AI) is poised to become the next big thing in technology.
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An AI LLM trained on open data has broad knowledge drawn from publicly available resources, but the definition of a ‘customer’ or ‘fiscal year’ etc. always varies.
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Metadata, in its most basic sense, is simply data about data. It’s a method for determining what your data means or represents. It generally includes a description of the data and key background information. The definition of metadata is “a set of data that describes and gives information about other.
Women in BigData, Pacific Northwest Chapter recently hosted an illuminating workshop led by Dr. Naveen Gudigantala , Silicon Valley Distinguished Professor at the University of Portland. Women in BigDatas mission to empower diverse professionals through accessible training opportunities was perfectly embodied in this workshop.
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Bigdata is essential to the modern website management field. There are a number of great ways to use bigdata to create stellar websites. Most of these topics focus on the benefits of using bigdata to create better aesthetics and front-end designs. Using BigData to Choose the Perfect Hosting Provider.
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And then a wide variety of business intelligence (BI) tools popped up to provide last mile visibility with much easier end user access to insights housed in these DWs and data marts. But those end users werent always clear on which data they should use for which reports, as the datadefinitions were often unclear or conflicting.
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Bigdata is changing the future of software development in countless ways. Towards Data Science talked about some of the biggest changes that bigdata has created in this rapidly evolving field. One of them was the shift towards all-in-one data-driven software development across various industries.
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