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Business Intelligence, Big Data Management, Data Science
Starburst | February 09, 2023
On February 8, 2023, at its third annual Datanova conference, Starburst, the analytics anywhere firm, revealed platform enhancements that greatly accelerate performance while lowering obstacles to more significant data consumption. Across analytics, AI, and ML workloads, combining these characteristics gives efficiency to enterprises seeking to achieve more with less. Starburst has developed a low-code solution for constructing, distributing, and curating global data products to...
Big Data Management
Kinetica | September 22, 2023
Kinetica, a renowned speed layer for generative AI and real-time analytics, has recently unveiled a native Large Language Model (LLM) integrated with Kinetica's innovative architecture. This empowers users to perform ad-hoc data analysis on real-time, structured data with the ease of natural language, all without the need for external API calls and without data ever leaving the secure confine...
Domino Data Lab | February 14, 2023
On February 13, 2023, Domino Data Lab, a leading Enterprise MLOps platform provider, announced the release of Domino Code Assist (DCA), a game-changing product for business analysts that allows enterprises to quickly democratize data science and close the data science talent gap. Domino Data Lab joins the low-code sector with DCA to raise business analysts who are using Python and R into the realm of data science. The U.S. Bureau of Labor Statistics states that data science jobs...
solutionsreview.com | February 25, 2020
Data science and machine learning platforms come in a variety of shapes and sizes to meet the ever-changing needs of organizations and their increasingly complex environments. Enterprises require solutions that can serve a number of different use caseslike data discovery, visualization and insight generation. There are both small and large providers that offer software to help these companies with both niche and common challenges, though choosing the vendor(s) that are right for your specific en...
Data Science
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Data Visualization
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