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Datavard, Pyramid Analytics | July 28, 2020
Datavard, a recognized global leader in SAP data transformation solutions and services in Heidelberg, Germany, announces a partnership with Pyramid Analytics, an analytics and business intelligence software company headquartered in Amsterdam, Netherlands. The two companies join forces to help their customers bridge the gap between SAP and modern cloud platforms, enabling advanced data analytics, forecasting, AI, and machine learning scenarios. With Pyramid Analytics and Datavard, organizations c...
BIG DATA MANAGEMENT
Sisense | June 16, 2021
Sisense, the leading AI-driven platform for integrating analytics everywhere, announced today its collaboration and achievement with Snowflake, the Data Cloud business, in achieving premier Status in the Snowflake Partner Connect Program with their optimized real-time live connector. As part of this achievement, Sisense's optimized connector, first introduced in 2020, is now certified on Snowflake's platform. Sisense connects directly to Snowflake's data warehouse through the certifi...
SymphonyAI | January 11, 2022
A leader in high-value enterprise AI software solutions for strategic industries, SymphonyAI has announced that it took first place in the ISB Datathon Case Competition 2021 for advanced analytics and data science. The achievement demonstrates how SymphonyAI emphasizes explaining how various variables are linked rather than just looking at how variables cluster without comprehending the links, which produces better results faster. The Business Analytics Datathon was held in Novemb...
designnews.com | January 28, 2020
The high bandwidth demands created by our mobile and smart devices, data storage, and cloud computing centers is growing by leaps and bounds. And the ubiquity of fiber optics is a big part of this. Analysts are predicting the global fiber optics market will be worth $9 billion USD by 2025. Much of this will be driven by the aforementioned technologies but also by new technologies such as VR/AR.But none will have more impact than machine learning. The compute power needed and the demand for machi...
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