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ChaosSearch | December 01, 2021
ChaosSearch announced today that it has achieved Amazon Web Services (AWS) Data and Analytics Competency status. This designation recognizes that ChaosSearch has demonstrated success helping customers evaluate and use the tools and best practices for collecting, storing, governing, and analyzing data at any scale.
Achieving the AWS Data and Analytics Competency differentiates ChaosSearch as an AWS Partner Network (APN) member that possesses deep domain expertise in Data Analytics ...
medicalxpress.com | February 19, 2020
Machine learning is helping Penn Medicine researchers identify the size and shape of brain networks in individual children, which may be useful for understanding psychiatric disorders. In a new study published today in the journal Neuron, a multidisciplinary team showed how brain networks unique to each child can predict cognition. The study which used machine learning techniques to analyze the functional magnetic resonance imaging (fMRI) scans of nearly 700 children, adolescents, and young adul...
Kyligence | January 25, 2021
Kyligence, originator of Apache Kylin and designer of the AI-increased analytics stage Kyligence Cloud, today declared the prompt accessibility of Kyligence Cloud 4, its new cloud-local appropriated big data analytics stage.
Accessible on Microsoft Azure and Amazon AWS, Kyligence Cloud 4 use cloud-local ideas, for example, the different scaling of process and capacity to empower quick, adaptable and exceptionally simultaneous analytics against cloud data stockrooms and data lakes....
Alteryx | January 07, 2022
The analytics automation company, Alteryx, Inc. , has announced its acquisition of Trifacta. Trifacta is an award-winning cloud company known for making data analytics faster and more intuitive by deploying scalable data management and machine learning.
Enterprise customers deploy modern data architectures based on cloud data warehouses to support SaaS-based applications and analytics. Meanwhile, business users' demand for timely insights from these enormous cloud datasets to ...
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