a Futurum company

Topic

ai

The latest ai news, analysis and insights from DevOps.com.

24Articles shown
12Contributors shown
29Archive page
AI

Techstrong TV: Scratching the Surface of Testing Through AI

Mark, Torsten and Alan discuss the findings of the “Disrupting the Economics of Software Testing Through AI” report. The report identifies critical factors that hinder software engineering and DevOps teams including the escalating costs of quality control, and growing complexity associated with the increasing release velocity, number of smart devices, operating systems, and programming languages. […]

Alan Shimel · Aug 12, 2022
AI

Techstrong TV: The Use of AI in Low-Code

In this talk, Dave Wright, Chief Innovation Officer of ServiceNow, talks about how low-code is accelerating organizations’ AI journeys and is expanding into new, scalable use cases as we move into a post-COVID-19 world. The video and a transcript of the conversation are below. Recorded Voice: This is Digital Anarchist. Charlene O’Hanlon: Hey, everybody. […]

Charlene O'Hanlon · Aug 11, 2022
AI

Iterative Adds Registry to GitOps Portfolio for ML Models

Iterative added a registry for machine learning models to its portfolio of Git-based tools for infusing artificial intelligence into applications. Iterative CEO Dmitry Petrov said the Iterative Studio Model Registry is intended to make it easier for application development teams to track which models are being used as the number of applications infused with AI […]

Mike Vizard · Jul 28, 2022
AI

Tabnine, GitLab Build Custom Apps Faster With AI

Tabnine today revealed it has integrated its code completion tool with the GitLab continuous integration/continuous delivery (CI/CD) platform. Tabnine’s platform employs artificial intelligence (AI) to accelerate application development. Brandon Jung, vice president of ecosystems and business development at Tabnine, said the goal is to make it easier for developers to automatically write code based on […]

Mike Vizard · Mar 2, 2022
API

Best Practices for Modernizing App Modernization

Modernizing legacy systems to embrace a loosely-coupled microservices architecture is the biggest predictor of success for continuous delivery, according to Google Cloud’s 2021 Accelerate State of DevOps report. Studies continue to show that the most elite DevOps performers enjoy more frequent code deployments, faster lead times to deploy, low change failure rates and faster time-to-recovery. […]

Bob Quillin · Mar 2, 2022
AI

Investing in Artificial Intelligence: How MLOps Drives Enterprise AI Wins

Insight Partners had a banner year in 2021, with more than $50 billion in capital commitments across over 200 investments. While we invest in founders across a wide spectrum of businesses, this series focuses on outlining our theses on four verticals that we’re particularly excited about in 2022: Artificial intelligence (AI), fintech, cybersecurity and healthtech. […]

Ganesh Bell · Jan 27, 2022
AI

How AI Can Improve Software Development

Change is constant and inevitable. While some changes are welcome, others are just a necessary evil. Continuous calls for digitalization combined with a pandemic-prompted emphasis on transforming business operations, force organizations across industries to modernize their legacy systems. The emergence of cloud computing has shrunk organizations’ on-premise IT footprints. However, with 96 of the world’s […]

Steve Brothers · Jan 13, 2022
AI

Iterative Adds Experiment Versioning to MLOps Platform

Iterative today added an experiment versioning capability to an open source platform for managing machine learning operations (MLOps) using GitOps workflows. Dmitry Petrov, Iterative CEO, said the latest version of the Data Versioning Control (DVC) platform makes it simpler to save, compare and reproduce machine learning (ML) experiments at scale without requiring organizations to set […]

Mike Vizard · Dec 7, 2021
Blogs

Will Automation Fill Gaps Left by the ‘Great Resignation’?

Between burnout, job-hopping and the ongoing pandemic, labor shortages will surely get worse before they get better, and automation is increasingly sought after as a way to mitigate the ripple effects of understaffed IT departments. For DevOps, automation has several benefits, from freeing up employees to work on more constructive tasks to minimizing software bugs […]

Nathan Eddy · Dec 1, 2021
Application Performance Management/Monitoring

Digital Transformation Driving VSM Adoption

The number of organizations using value stream management (VSM) to bridge the divide between DevOps and the rest of the business is expected to dramatically increase over the next two years. The shift is due, in part, to investments in digital business transformation initiatives. A survey of more than 500 executives, IT and business leaders […]

Mike Vizard · Nov 24, 2021
AI

ServiceNow Acquires DotWalk to Gain AI for App Testing

ServiceNow today revealed it has acquired DotWalk to gain an artificial intelligence (AI)-infused application testing capability that runs natively on its software-as-a-service (SaaS) platform. Joe Davis, senior vice president for platform engineering at ServiceNow, said that testing capability will be made available free of charge to all organizations that build custom applications on the company’s […]

Mike Vizard · Nov 23, 2021
Application Performance Management/Monitoring

Logz.io Extends Open Source Observability Platform

Logz.io has enhanced its observability platform to include both unified dashboards and support for distributed tracing to monitor service performance enabled by the open source Jaeger agent software being advanced under the auspices of the Cloud Native Computing Foundation (CNCF). At the same time, Logz.io is making available a preview of an anomaly detection capability […]

Mike Vizard · Nov 22, 2021
AI

4 Keys to Developing Ethical AI

Companies continue to grapple with how to use artificial intelligence (AI) technology in a way that doesn’t compromise privacy and that takes into account other key ethical considerations. It is undeniable that AI is one of the fastest-growing categories today. But if we are unable to build tools that live up to high ethical standards, […]

Sagar Shah · Nov 17, 2021
AI

Dynatrace Adds Security Gates to Advance DevSecOps Adoption

Dynatrace today added a security gates capability to its observability platform to make it easier to automatically embrace DevSecOps best practices within an application delivery pipeline. Steve Tack, senior vice president for product management at Dynatrace, said the security gates function much the same as the quality gates that Dynatrace previously added to that platform […]

Mike Vizard · Nov 10, 2021
Application Performance Management/Monitoring

Driving Software Delivery Automation With AI/ML

What if we could use an artificial intelligence (AI) engine to predict the next lines of software code to build? What if machine learning (ML) could trigger the creation of automated test cases to validate our solutions? Automation has been a focus for the information and communications technology (ICT) industry for years, and there are […]

Maria Mugica · Nov 8, 2021
AI

Oracle Adds AI Services to Cloud Portfolio

Oracle today unfurled Oracle Cloud Infrastructure (OCI) AI services, a collection of services that make it easier for developers to use application programming interfaces (APIs) to invoke a wide range of services based on algorithms trained by Oracle on their behalf. Elad Ziklik, vice president of product management for AI services and data science at […]

Mike Vizard · Nov 3, 2021
AI

How AI is Changing DevOps for the Better

Managing a DevOps environment involves a high degree of complexity. The rapid proliferation of data has made it difficult for DevOps teams to effectively onboard, ingest and unlock data and implement information to make good business decisions and deliver delightful experiences. Imagine a team poring over troves of information to identify critical factors that triggered […]

Chandra Shekhar · Nov 2, 2021
AI

EP 19: How AI/ML are Used in DevOps Today

Artificial intelligence (AI) and machine learning (ML) help improve the performance of DevOps teams by automating repetitive tasks and eliminating inefficiencies across the SDLC. By using AI, teams can test, code and check software faster and more efficiently. In this episode of DevOps Unbound, Brian Dawson, Judith Hurwitz, Alan Shimel and Mitch Ashley discuss how AI and ML are transforming DevOps and what new use cases await AI and ML in 2021 and beyond.

Alan Shimel · Oct 27, 2021
AI

Mona Allies with New Relic to Converge MLOps and DevOps

New Relic and Mona, a provider of a platform for monitoring the models used to provide artificial intelligence (AI), announced today they have formed an alliance to help bridge the divide between DevOps teams and data scientists. Most data science teams today build models based on machine learning algorithms using operations platforms that enable them […]

Mike Vizard · Oct 25, 2021