Supercomputer leader Cray Inc. (Nasdaq: CRAY) announced the Company has unveiled new deep learning capabilities across its line of supercomputing and cluster systems.
Neo Technology, creator of Neo4j, the world’s leading graph database, announced the release of Neo4j 3.1, a major release with new operational and security features that make it easier to deploy Neo4j broadly across an entire enterprise.
IBM (IBM: NYSE) and NVIDIA (NASDAQ: NVDA) today announced collaboration on a new deep learning tool optimized for the latest IBM and NVIDIA technologies to help train computers to think and learn in more human-like ways at a faster pace.
Enterprise search leader Lucidworks is tapping into the IBM Watson Developer Cloud platform for its Fusion platform, an application framework that helps developers to create enterprise discovery applications so companies can understand their data and take action on insights.
LogtrustTM, the Real-time Big Data-in-Motion firm for Fast Data, Big Data analytics, has solved the “real-time” challenge facing most Big Data projects, by offering the ability to ingest, store and analyze massive, varied and dynamic data sets at high speed.
Bigstep, the big-data cloud provider, launched Bigstep Real-Time Container Service designed especially for real-time streaming applications, microservice-based architectures and memory-intensive workloads that require low latency and high performance.
Amplitude Study Finds that “N Day” Retention Metric Underestimates the Percentage of Users who Return to Apps by a Factor of 3.5X
Amplitude released findings from a study of retention data collected from its popular analytics platform and found that the most commonly used retention metric, known as ‘N Day,’ underestimates the percentage of users who return to apps over time by a factor of 3.5x.
DrivenBI, provider of SRK, the cloud-native self-service BI platform that empowers business professionals without IT’s constant support, announced its new data import utility.
Singapore-based startup, Percipient, has developed a way to sidestep a common Hadoop big data function, thereby shortening query processing time by more than 15 times.
Apache Spark Survey Reveals Increased Growth in Users and New Workloads Including Exploratory Data Science and Machine Learning
In order to better understand Apache Spark’s growing role in big data, Taneja Group conducted a major market research project, surveying approximately 7,000 people. The sample was made up of technical and managerial job roles from around the world directly involved in big data.