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Splunk Q2 Highlights Progress in its Cloud Transformation

In Cloud by Daniel Newman and Steven DickensLeave a Comment

Futurum Research Principal Analyst Daniel Newman and Senior Analyst Steven Dickens provide their take on Splunk’s Q2 earnings announcement. The company is shuffling the executive deck, making strategic investments to bolster its security portfolio and also transition to a recurring revenue based on workload pricing, rather than data ingestion and seems to be executing on all fronts given the strong numbers for Q2.

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Microsoft Research AI Ethics Checklist Crafts Principles for Designing AI DevOps Processes

In AI, Technology News by James KobielusLeave a Comment

Microsoft Research AI ethics checklist is a set of published principles for designing ethics checklists that can be readily operationalized in AI DevOps processes. We commend Microsoft Research’s recent effort to catalyze consensus within the practitioner community for the purpose of developing clear principles for designing operationalizable AI ethics checklists.

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Algorithmia Integrates AI Model Governance with GitOps

In AI by James KobielusLeave a Comment

Algorithmia integrates AI model governance with GitOps, integrating ML and code development into DevOps workflows that use Git as a source-code repository. With this announcement, Algorithmia has made it easier to use GitHub to break down the silos that traditionally have kept ML developers and application coders from integrating tightly within today’s continuous DevOps workflows.

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Launchable Draws on DevOps to Deliver AI-Powered Software Test Automation

In AI, Technology News by James KobielusLeave a Comment

Launchable has emerged from stealth mode to introduce its AI-driven software test automation solution. This is exciting news for the DevOps community, as key industry figures—most notably, the Jenkins CI/CD automation server’s creator—have essentially validated that AI-driven test automation is coming big time into every software development shop.

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AI and DevOps: The Impact of Revolutionizing the Development Process

In AI by Daniel NewmanLeave a Comment

One of the most frustrating things to experience in business: hurry up and wait. But when it comes to DevOps, that’s exactly what many companies have been experiencing. Though many jumped aboard hoping to speed up production and release cycles, in a majority of cases, they haven’t experienced the efficiencies they were hoping for. But I don’t think you should …