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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...
mParticle | October 13, 2021
mParticle, the largest independent Customer Data Platform, today announced new Data Planning tools and best practices to help marketers, developers and product managers realize the full benefit of customer data by simplifying data plan implementation and mitigating dirty data.
Only 3% of companies' data meets basic quality standards leading to inaccurate and inconsistent information that leads to wasted marketing budgets, poorly executed customer experiences and hours of tedio...
Business Intelligence, Big Data Management, Business Strategy
Businesswire | April 12, 2023
ThinkData Works Inc., a leading data catalog provider, is launching a first-to-market solution that will accelerate time to value for its adopters. Customers will be able to automatically gather metadata from their preferred warehouse environment, in addition to automatically scanning and virtualizing multiple datasets within minutes, enabling streamlined sharing and management of data.
ThinkData Works' new warehouse discovery solution offers businesses a seamless way to acc...
Business Strategy, Machine Learning
PR Newswire | July 14, 2023
UST, a leading digital transformation solutions company, has announced a strategic partnership with Xiatech, the pioneer of the world's first ML-powered composable Hyper-Integration Platform, Xfuze.
UST and Xiatech will combine forces to accelerate the business transformation and success of organisations worldwide. Together, the companies will jointly leverage their AI and ML-powered platforms and expertise to solve business and technology data challenges facing companies. I...
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...
Business Intelligence, Big Data Management, Data Science
Business Intelligence, Big Data Management
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