Algorithmia Allies With Datadog on MLOps Observability
Algorithmia today launched a performance monitoring for machine learning (ML) model that tracks algorithm inference and operations metrics generated by the enterprise edition of its namesake platform for building these […]
Harness to Apply AI to DevOps
Harness, at its {Unscripted} 2020 conference today, announced its plans in the fourth quarter to make available as a beta a module that leverages machine learning algorithms to optimize build […]
MLOps: More Than Automation
Recently, there has been a lot of talk about MLOps from the DevOps and software engineering perspective. The message often comes across as, “Hurry, DevOps community, let’s set some standards […]
Oracle Launches Observability Platform
Oracle, at its online Oracle Live event today, unveiled the Oracle Cloud Observability and Management Platform, which combines newly added logging, log analytics, database management, application performance monitoring, operations insights […]
Snyk Acquires DeepCode to Apply AI to DevSecOps
Snyk today announced it has agreed to acquire DeepCode as part of an effort to apply artificial intelligence (AI) to DevSecOps. DeepCode has developed an interpretable machine learning semantic code […]
Eggplant Employs AI to Surface Test Recommendations
Eggplant this week announced it has extended the capabilities of its application testing platform infused with machine and deep learning algorithms to now include recommendations to help improve tests. In […]
The Role of AI, ML-Powered DevOps in Digital Transformation
Global businesses are in the midst of an enormous digital transformation wave. As we step into the realm of industry 4.0, exponential technologies are becoming a fundamental segment of traditional […]
Algorithmia Looks to Meld MLOps and DevOps
Algorithmia, in the latest update to the enterprise edition of its namesake machine learning operations (MLOps) platform, is enabling software development lifecycle practices to be applied to the building of […]
AWS Brings Machine Learning to Code Optimization
Amazon Web Services (AWS) has made generally available a tool dubbed Amazon CodeGuru that employs machine learning algorithms to recommend ways to improve code quality and identify which lines of […]
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