News (781)

Machine Learning Masters Massive Data Sets at Los Alamos

A machine-learning algorithm developed at Los Alamos National Laboratory has set a world record for factorizing huge data sets during a test run on Oak Ridge National Laboratory's Summit, the world's fifth-fastest supercomputer. The algorithm is equally efficient on laptops and supercomputers, and solves hardware bottlenecks that prevent processing information from data-rich applications in cancer research, satellite imagery, social media networks, national security science and earthquake research.


Machine Learning Makes Big Data Easier to Manage

Machine learning is a powerful tool for taming large data sets. It can be used to quickly and accurately process and analyze large amounts of data, making it easier for businesses and organizations to make decisions and take action. Newswise Live provides services for journalists, media subscribers, and members, including access to archived wires, sample effectiveness reports, and more.


Pandas DataFrame Size, Shape, and Dimensions Properties

Pandas is a powerful library for data analysis and manipulation. It is widely used by data scientists and analysts for its ability to quickly and easily manipulate data. One of the most important features of Pandas is its ability to access and manipulate the size, shape, and dimensions of a DataFrame. In this article, we will discuss how to find the size, shape, and dimensions of a Pandas DataFrame and how to use them to make data analysis easier.


Big Data-As-A-Service Market Size with Top Players

According to Benzinga, the Big Data-As-A-Service Market Size is expected to grow significantly in the next few years. The report covers data-driven insights and highlights how the market is adapting to rapid changes. The report is 119 pages long and includes information from top players in the industry. 


Potential of Big Data: SWOT Analysis for 2030

According to Benzinga, the Big Data market is expected to experience significant growth in the coming years. A SWOT analysis of the market reveals that it is well-positioned to capitalize on the opportunities that will arise in the next decade. Strengths include the increasing availability of data, the development of new technologies, and the potential for cost savings. Weaknesses include the lack of skilled personnel and the potential for data security breaches. Opportunities include the development of new products and services, the expansion of existing markets, and the emergence of new markets. Threats include the increasing complexity of data, the potential for data privacy violations, and the potential for increased competition.


Insurance Big Data Analytics Market Set to Soar Over the Next 7 Years

According to a report by Benzinga, the Insurance Big Data Analytics Market is expected to experience significant growth over the next 7 years (2023-2030). The 111 page report provides an in-depth look at the current state of the market and its future potential. It outlines the key players in the market and their strategies, as well as the opportunities and challenges the market faces. The report also provides a comprehensive overview of the market's current trends and developments.


The Growing Gap Between Business and Technical Teams and How to Bridge It

Lewis Wynne-Jones, Vice President of Product at ThinkData Works, recently wrote an article for Forbes about the digital divide between data managers and data consumers. Wynne-Jones argues that the value of data is being limited by this divide, which is growing wider and preventing businesses from making data-driven decisions. He believes that businesses need to bridge this gap in order to take advantage of the value of data.


Google Launches BigQuery Studio

Google has released BigQuery Studio, a new service within BigQuery, its fully managed serverless data warehouse. BigQuery Studio is designed to enable users to discover, explore, analyze, and predict data. According to Google's VP and GM of data and analytics, Gerrit Kazmaier, BigQuery Studio provides access to all of the services that data and AI workers need to work, simplifying the user experience. BigQuery Studio is available in preview as of this week.


Gui'an Grabs the Key to Digital Economy Success

According to a news report by, Lang Wei, the head of Comprehensive Support Team for the Guiyang Big Data Sci-tech Innovation Town located in Gui'an New Area of SW China's Guizhou province, has seen a surge in phone calls from enterprises inquiring about relevant conditions and policies on settlement and learning about the latest conditions of Gui'an New Area. This is due to the national strategy of "Eastern Data, Western Computing" which channels more computing resources from the eastern areas to the less developed western regions. Guiyang Big Data Sci-tech Innovation Town ("Big Data Town") was approved for construction on December 22, 2021.


Nielsen Opens Big Data for Trading Without MRC Accreditation

Nielsen has announced that it will be opening up its big data for trading without the need for MRC accreditation. This move is seen as a way to make the data more accessible and to provide more transparency for advertisers who are looking to use the data for their campaigns. The data will be available to anyone who has access to the Nielsen platform, regardless of whether they have MRC accreditation. This move is seen as a way to make the data more accessible and to provide more transparency for advertisers. 


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