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Neo4j | April 13, 2022
Neo4j®, the world's leading graph data platform, announced Neo4j Graph Data Science, the company's comprehensive graph analytics workspace built for data scientists, is now available with new and enhanced capabilities, and as a fully managed cloud service called AuraDS.
AI and machine learning (ML) have propelled the use of predictive data architectures and their application across a broad range of use cases like recommendation engines, fraud detection, and customer 36...
Big Data Management
Informatica | March 16, 2021
Serverless Spark-based Cloud Data Integration engine offering accelerated performance with the help of NVIDIA RAPIDS Accelerator for Apache Spark with NVIDIA accelerated computing is now available, announced Informatica.
The end-to-end machine learning operations (MLOps) capabilities are now accessible to first-time users who can operationalize the machine learning models and to the power of data management with swiftness by RAPIDS data science software and NVIDIA infrastructure.<...
Alluxio | May 05, 2022
Alluxio, the developer of the open source data orchestration platform for data driven workloads such as large-scale analytics and AI/ML, today announced the immediate availability of version 2.8 of its Data Orchestration Platform. This new release features enhanced interface support for the Amazon S3 REST API; security improvements for sensitive applications with strict encryption compliance and regulatory requirements; and strengthened automated data movement functionality across heterogeneous ...
SensiML | December 20, 2023
SensiML Corporation, a leader in AI software for IoT and a subsidiary of QuickLogic, announced the launch of Data Studio, a ground-breaking platform designed to redefine the landscape of sensor data management. With a focus on practicality and efficiency, Data Studio empowers engineers and data scientists by offering an integrated solution that addresses the most time-consuming tasks in AI engineering projects - creating high-quality datasets for evaluating and developing ML models.
Business Intelligence, Big Data Management
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