JFrog announced a new machine learning (ML) lifecycle integration between JFrog Artifactory and MLflow, an open source software platform originally developed by Databricks.
IBM announced a cloud-based development environment for near real-time, high performance analytics, giving data scientists the ability to access and ingest data and deliver insight-driven models to developers.
Available on the IBM Cloud Bluemix platform, the Data Science Experience provides 250 curated data sets, open source tools and a collaborative workspace to help data scientists uncover and share meaningful insights with developers, making it easier to rapidly develop applications that are infused with intelligence.
Building on its $300 million investment in developing Apache Spark as a type of “analytics operating system,” IBM created the Data Science Experience to extend the speed and agility of Spark to more than two million members of the R community through new contributions to SparkR, SparkSQL and Apache SparkML. As a result, data scientists who work in R will have faster access to more data, and in turn, more insights delivered from the IBM Cloud.
The Data Science Experience’s open and collaborative environment allows data scientists to accelerate and simplify data ingestion, curation and analysis by bringing together the content, data, models, and open source resources from IBM and others including H2O, RStudio, Jupyter Notebooks on Apache Spark in a single security-rich managed environment.
“With Apache Spark, we see an opportunity to significantly transform the role of the data scientist by providing access to curated data sets, open source tools and a collaborative platform to accelerate innovation,” said Bob Picciano, SVP, IBM Analytics. “IBM’s Digital Science Experience is the killer enterprise app for Apache Spark, and gives data scientists new opportunities to deliver insight-driven models to developers, and opens the door for unprecedented innovation from the open source community.”
Industry News
Copado announced the general availability of Test Copilot, the AI-powered test creation assistant.
SmartBear has added no-code test automation powered by GenAI to its Zephyr Scale, the solution that delivers scalable, performant test management inside Jira.
Opsera announced that two new patents have been issued for its Unified DevOps Platform, now totaling nine patents issued for the cloud-native DevOps Platform.
mabl announced the addition of mobile application testing to its platform.
Spectro Cloud announced the achievement of a new Amazon Web Services (AWS) Competency designation.
GitLab announced the general availability of GitLab Duo Chat.
SmartBear announced a new version of its API design and documentation tool, SwaggerHub, integrating Stoplight’s API open source tools.
Red Hat announced updates to Red Hat Trusted Software Supply Chain.
Tricentis announced the latest update to the company’s AI offerings with the launch of Tricentis Copilot, a suite of solutions leveraging generative AI to enhance productivity throughout the entire testing lifecycle.
CIQ launched fully supported, upstream stable kernels for Rocky Linux via the CIQ Enterprise Linux Platform, providing enhanced performance, hardware compatibility and security.
Redgate launched an enterprise version of its database monitoring tool, providing a range of new features to address the challenges of scale and complexity faced by larger organizations.
Snyk announced the expansion of its current partnership with Google Cloud to advance secure code generated by Google Cloud’s generative-AI-powered collaborator service, Gemini Code Assist.
Kong announced the commercial availability of Kong Konnect Dedicated Cloud Gateways on Amazon Web Services (AWS).
Pegasystems announced the general availability of Pega Infinity ’24.1™.