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By John K. Waters
IBM Research added to its growing family of "trusted AI" tools with the release of a new open-source developer toolkit called Uncertainty Qualification 360 (UQ360). The new toolkit focuses on what IBM believes will be the next big area of advancing trust in artificial intelligence.
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By John K. Waters
Announcement are rolling out of this year's Google I/O virtual event about a range of tools and solutions, about which every Android developer should know.
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By John K. Waters
Databricks is partnering with Google Cloud to enable the deployment of its namesake data engineering solution with yet another leading cloud provider.
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By John K. Waters
BMC unveils new capabilities and enhancements for its Automated Mainframe Intelligence (AMI) and Compuware portfolios to protect mainframe customers' uptime and availability, defend the mainframe against cybersecurity threats, and advance enterprise DevOps.
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By John K. Waters
Intel's distribution of the OpenVINO toolkit provides features that take inference beyond computer vision into new use cases.
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By John K. Waters
Amazon DevOps Guru uses machine learning to detect operational issues and recommend specific actions for remediation automatically.
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By John K. Waters
Diffblue makes a free version of its AI-powered Java unit testing solution available for developers on open source software projects.
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By John K. Waters
Carbon Relay announces key enhancements of its flagship artificial intelligence for IT operations (AIOps) platform.
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By John K. Waters
A UK-based startup founded by University of Oxford researchers launches an AI-powered Java unit testing solution, including a free-for-Java-devs Community Edition.
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By John K. Waters
Yup, We're Doing a Podcast
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By John K. Waters
During week seven of Google's nine-week online Cloud Next event, the search engine giant announced upgrades to its Anthos application platform, including new AI enhancements and Anthos on bare metal, among others.
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By John K. Waters
Enterprise data science management platform provider Domino Data Lab today released the latest version of its namesake platform, Domino 4.3, with new support for Red Hat OpenShift.
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By John K. Waters
These are tough times for the facial recognition technology industry, as new understanding of its potential for racial and gender bias cause some big US vendors to take a step back. But this worldwide technology continues to improve, evolve, and expand at an explosive rate.
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By John K. Waters
The latest release of Hazelcast's Jet event stream processing engine adds new features designed to simplify the integration of an event-driven architecture into brownfield deployments to gain new functionality around real-time and in-memory processing.
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By John K. Waters
Automated IT and security solutions provider Ivanti is partnering with Intel to provide Device-as-a-Service (DaaS) with Intel's Endpoint Management Assistant
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The Java programming language continued to be the most popular primary programming language among developers during the past 12 months, according to a new survey, but Python topped the list of most used languages overall during that period.
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By John K. Waters
IBM Watson AIOps uses artificial intelligence (AI) technologies to automate how enterprises self-detect, diagnose, and respond to IT anomalies in real time.
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By John K. Waters
Neo4j just released a new product the graph database provider is billing as the first data science environment "built to harness the predictive power of relationships for enterprise deployments."
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Quantum Computing, Inc. (QCI) is partnering with data search and analytics solution provider Splunk to pursue "fundamental and applied research" and develop advanced analytics capabilities that will exploit the strengths of both companies.
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By John K. Waters
In-memory computing platform maker Hazelcast on Wednesday announced new support in its Hazelcast Jet event stream processing engine for AI and machine learning deployments.
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By John K. Waters
With Kubeflow 1.0, the maintainers of the project are "graduating" a core set of stable applications needed to develop, build, train and deploy machine learning models on Kubernetes efficiently.
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By John K. Waters
"Along with R, Python is one of the most-used languages for data analysis. From pre-built libraries for linear or logistic regressions, decision trees, naïve Bayes, k-means, gradient-boosting, etc., there's a Python library for virtually anything a developer or data scientist might need to do."
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The Oracle Cloud Data Science Platform was created specifically to improve the effectiveness of data science teams, the company said, with such capabilities as shared projects, model catalogs and auditability.
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The open source Cloud Annotations leverages AI to assist with the image labeling process. John talks with its creator, IBM developer Nicholas Bourdakos.
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The Cloudflow framework was developed to address the growing demands of AI, machine learning models, analytics, and other streaming, data-driven workloads.