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Feature market insights and perspectives from top C-Level executives, elite technology influencers and thought leaders from your company here. This signature initiative has garnered immense support...
BIG DATA MANAGEMENT
Piano | March 03, 2021
Piano, the worldwide subscription commerce and client experience platform, declared today it has united with AT Internet, a France-based pioneer in computerized analytics and contextual data.
The combination of AT Internet and Piano is an industry achievement, addressing the first run through an elite advanced analytics arrangement has been joined with venture orchestration and customized commerce to change data into client encounters.
The organizations' answers...
Adverity | June 29, 2020
Adverity, a leading marketing data intelligence platform, has been recognized as the leader in the Momentum Grid Report for ETL Tools in the G2 Summer 2020 Report.
G2 is a business product review and ranking platform where verified users share their experiences and feedback on software and SaaS tools. Rankings are based on how likely users are to recommend the service to others, user satisfaction and product popularity. The Summer 2020 Report sees Adverity move into the top ten in...
KX | August 02, 2021
KX, a worldwide leader in real-time streaming analytics, today announced a partnership with Alpine F1 Team as official supplier of real-time analytics software and services. The KX technology enables real-time data capture and analysis of millions of data points across thousands of sensors for split-second decision-making during races, as well as for off-track operational improvements.
The announcement comes after an 18-month project where the KX streaming analytics platform was d...
KNIME | July 15, 2020
KNIME today announced four major updates — Integrated Deployment, Guided Analytics, Flexible Executors, and Metadata Mapping — that overcome significant enterprise challenges. These offerings are designed to make data productive for the organization and close the gap between data science and business.
“For predictive models, there is usually a hard stop after creation, and manual steps are needed for deployment, resulting in lots of friction in the enterprise,&rd...
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