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The Amazon cloud is continuing its mission "to put machine learning in the hands of every developer" with new functionality for AWS Amplify, a back-end development framework for mobile and Web apps.
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By John K. Waters
Microsoft Research is unveiling its latest AI initiative: an open source framework that aims to help "democratize AI" by leveraging a blockchain-based back end.
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A company called Mesmer has emerged from stealth mode with Intel-backed funding and a plan to relieve mobile app developers from the drudgery of customer experience software testing, putting AI-powered bots to the task.
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By John K. Waters
Compuware is integrating its machine-learning-driven zAdviser analytics tool with is ISPW mainframe continuous integration/continuous delivery (CI/CD) solution.
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IBM says AutoAI for IBM Watson Studio is designed to let users quickly scale ML experimentation and deployment processes.
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By John K. Waters
Oracle has updated its Exadata Database Machine X8 server line with hardware and software enhancements enabled by artificial intelligence (AI) and machine learning (ML), the company announced recently.
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The future Silicon Valley-based Big Data unicorn MapR appears to be in crisis.
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Google announced several updates to its Firebase mobile development platform, which provides back-end functionality such as Crashlytics crash reporting, app analytics, machine learning capabilities, performance monitoring and more.
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On Thursday Microsoft announced a number of improvements to its Azure cloud platform designed to give developers increased capabilities for AI, machine learning, mixed reality, blockchain and Internet of Things (IoT) solutions, via both hybrid cloud and edge architectures.
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Google's updated ML Kit, which packages up the company's machine learning expertise and technology for mobile developers creating Android or iOS apps, has been beefed up with Natural Language Processing functionality and more.
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This week, Santa Clara, Calif.-based Sensory announced the "first full-feature release" of TrulyNatural, its speech recognition and processing platform for embedded systems.
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A big new developer survey shows that Python has finally passed Java in the programming language popularity wars, propelled by its propensity for use in machine learning and data science projects.
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Indeed.com recently released its list of "Best Jobs in the U.S.: 2019" and machine learning engineer is No. 1 on the list, followed closely by full-stack developer at No. 3.
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LinkedIn open sourced a tool it developed to convert Apache Spark-based Big Data into a format consumable by TensorFlow, the popular open source platform for machine learning.
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Perfecto, specializing in cloud-based DevOps testing of Web and mobile apps, unveiled a new solution that uses machine learning to automatically write and maintain test scripts.
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Mendix, one of the leading vendors in the enterprise low-code development space, has boosted its dev platform with new integration tapping into IBM Cloud services, including Watson AI cognitive services.
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The new MapR Ecosystem Pack 6.1 is a new release for the program that provides for independent updates of modular, open source data projects included in the firm's data analytics platform.
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Research firm Gartner published a new report indicating the number of enterprises implementing artificial intelligence in some form has tripled in the past year, despite an AI talent shortage.
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LinkedIn's annual Emerging Jobs report says blockchain developer is the top sought-after position among all occupations, with machine learning skills also in high demand.
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Facing ever-more-sophisticated attack vectors, companies like Zimperium are infusing emerging AI technologies like machine learning into their mobile app defense solutions.
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OutSystems, known for its low-code app development tools, announced an initiative to bring artificial intelligence and machine learning functionality to software development.
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Google announced a bevy of improvements to its Firebase mobile development platform, including enhancements to machine learning, workflow integration, IDE support and more.
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By Richard Seeley
The ability of big businesses to hire data science talent and bankroll major projects appears to make a big difference in the successful implementation of machine learning.
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By John K. Waters
Last week Parasoft launched a new version of its SOAtest automated testing tool featuring enhanced artificial intelligence (AI) and machine learning functionality.
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While perhaps not offering new conclusions about the hottest technologies in the software development arena, a new Developer Economics survey from SlashData provides more hard evidence that data science and machine learning are the top skills developers want to learn.