Latest news with #JimMercer
Techday NZ
23-05-2025
- Business
- Techday NZ
Perforce introduces AI features for DevOps, boosts efficiency & testing
Perforce Software has announced the launch of Perforce Intelligence, a new tool designed to integrate artificial intelligence across its DevOps product lines and bridge gaps between security, development, and operations teams. Perforce Intelligence is embedded within the company's continuous testing, infrastructure automation, and diagramming solutions, aiming to help customers save time and costs, expand test coverage, and address data silos that typically exist in technology teams. The integration of AI within existing Perforce products challenges the effectiveness of generic AI approaches. The company is also announcing enhancements to Puppet Enterprise Advanced, which are intended to help teams learn, optimise, and better understand their infrastructure changes without requiring specialist skills in the Puppet language. Jim Mercer, Program Vice President, Software Development, DevOps & DevSecOps at IDC, commented on the complexity of implementing AI successfully in technology teams. He said, "AI is not easy to implement among teams, and we've seen pockets of success but also still a ton of confusion and need for understanding of how and where to embed AI within the DevOps lifecycle. It will be important for companies and institutions to partner with organizations that provide them with high value and low risk when it comes to AI." Jake Hookom, Executive Vice President of Products at Perforce, outlined the company's aim to act as a multiplier for AI adoption in business. He said, "At Perforce, we understand that every organisation, regardless of size, has AI ambitions. Our approach to AI is to act as a strategic multiplier, helping businesses adopt AI in a way that delivers value and produces measurable outcomes from our products and within their larger DevOps ecosystem. With security and compliance top of mind for enterprises, those customers are affirming our approach to AI every week with stories on the positive impact we're having on their DevOps teams." Perforce Intelligence claims to differentiate from other testing tools by eliminating the need for scripts and frameworks, aiming to simplify the process for teams to deliver secure applications across various platforms or devices. The tool uses visual and contextual validation to ensure applications adapt dynamically without requiring human intervention, reportedly providing customers with 50% efficiency gains and a 20% increase in test coverage, according to the company. Byron Chan, Digital Delivery Quality Assurance Lead at Servus, commented on the product's potential: "We are excited about where this can go. I see tremendous potential because eventually you could come up with test cases in this prompt format before development even starts, and then once developed/deployed, you could potentially avoid manual testing and automation test development because it's already done." Puppet Enterprise Advanced, part of Perforce's infrastructure automation portfolio, will include a new feature in June 2025 called Puppet Infra Assistant. This is a chat interface that enables users to interact with their infrastructure in natural language, providing visibility into configuration, compliance, and operational status without needing specialist skills. Margaret Lee, Manager of Product Management for Perforce Puppet, highlighted the role of natural language AI: "Puppet has a trove of data to help customers make smarter decisions, but we haven't previously had the means to make it readily accessible for Puppet stakeholders or adjacent teams – like security and development teams - who would really benefit from it. Natural language AI unlocked this potential." "Teams can quickly and easily understand what's happening, make meaningful decisions, and take action to align with their desired business outcomes. Early customers have responded very positively, with one noting that a task that used to take three hours now takes seconds with Puppet Infra Assistant." Perforce Puppet is positioned as an infrastructure automation solution designed to streamline operations, improve security and compliance, and enhance visibility across varying infrastructure environments. For software diagramming, Gliffy, Perforce's diagramming platform for Confluence, now incorporates AI to accelerate the creation of sequence and class diagrams, with the company stating this makes the process three times faster and helps teams represent complex concepts more efficiently. Looking ahead, Perforce outlined several upgrades planned for 2025 as part of the broader Perforce Intelligence roadmap. These include advances for creative workflow acceleration, the provision of compliant and masked data for AI and machine learning projects, maintenance-free testing automation approaches that remove legacy scripting, and agent-to-agent orchestration for infrastructure change management and ongoing compliance.
Yahoo
18-03-2025
- Business
- Yahoo
CircleCI Publishes 2025 State of Software Delivery Report
Research finds that the highest performing teams are shipping updates 3x faster than those in the bottom quartile SAN FRANCISCO, March 18, 2025--(BUSINESS WIRE)--CircleCI, a leading continuous integration and continuous delivery (CI/CD) platform, today published its sixth annual State of Software Delivery report. Based on the analysis of nearly 15 million workflows of teams building on CircleCI, the report delves into how advancements like CI/CD automation, infrastructure as code, and AI-powered developer tools have raised the floor for what it means to be good at delivering software. This year's data reveals a stark divide between high and low performing software teams. The top 25% of high performing teams are: Shipping updates 3x as fast as teams in the bottom quartile, turning development velocity into market advantage. Saving millions in annual development costs by completing critical workflows 5x faster than low performers, freeing resources for strategic initiatives. Reclaiming thousands of hours of innovation time each year by debugging in minutes rather than days, keeping developers in the flow and focused on value creation. "The top performing teams represented in this year's report clearly see being great at software delivery as a strategic advantage," said Rob Zuber, CTO of CircleCI. "AI is changing how software is created at a rate we've never seen before. Instead of trying to predict what the world of software will look like in five years, focus on building a culture that can quickly adapt to constant change – CI/CD is a core part of this." The report's data analyzes specific developer productivity metrics year over year, including workflow duration, throughput, recovery speed, and success rate, to evaluate benchmarks for developers. It also provides tools and next steps for improving performance on all four metrics. While some developer teams exceeded some metrics, they didn't meet others -- however, the highest performing developers routinely met or exceeded metrics in chart 1, "summary of 2025 software delivery metrics." "IDC's most recent DevOps survey revealed that more than 70% of organizations consider their DevOps strategy a driver of high or extremely high business value, reflecting a trend towards more accountability for business outcomes," said Jim Mercer, IDC's Program Vice President, Software Development, DevOps & DevSecOps. "It's nice to see organizations recognize the importance of DevOps, but it puts more pressure on these teams to improve the value they provide to the business by leveraging modern developer and DevOps tools that can enable them to build the intelligent applications of the future." The State of Software Delivery research also breaks down software delivery metrics by industry in chart 2, "summary of 2025 software delivery metrics by industry." Despite differences in challenges each industry grapples with, one constant remains: the ability to deliver high-quality software quickly is a competitive advantage. The full 2025 State of Software Delivery report is now available to download. Ready to invest in better software delivery? Sign up for free to get started in minutes. Methodology The 2025 State of Software Delivery Report analyzes data from nearly 15 million workflows from over 22,000 organizations in 149 countries. The data was collected within the first 28 days of September 2024. About CircleCI CircleCI is a leading continuous integration and continuous delivery (CI/CD) platform, enabling more than two million global users on elite engineering teams like Okta, Hinge, and Hugging Face to rapidly build, test, deploy, and monitor software they can trust. Through powerful pipeline automation, CircleCI manages limitless complexity at scale through unmatched flexibility and reliability, reducing the time from build to delivery by 3x the industry average. For more information about CircleCI, visit or follow us on Twitter, LinkedIn, and YouTube. View source version on Contacts press@
Yahoo
04-03-2025
- Business
- Yahoo
JFrog Unveils Secure AI Model Delivery Accelerated by NVIDIA NIM Microservices
New integration accelerates secure GenAI and LLM model deployment – including Meta's Llama 3 and Mistral AI LLMs packaged as NVIDIA NIM – with increased transparency, traceability and trust SUNNYVALE, Calif. & NEW YORK, March 04, 2025--(BUSINESS WIRE)--JFrog Ltd (Nasdaq: FROG), the Liquid Software company and creators of the JFrog Software Supply Chain Platform, is announcing general availability of its integration with NVIDIA NIM microservices, part of the NVIDIA AI Enterprise software platform. The JFrog Platform is the only unified, end-to-end, and secure DevSecOps and MLOps solution with native NVIDIA NIM integration. This enables rapid deployment of GPU-optimized, pre-approved machine learning (ML) models, and large language models (LLMs) to production with enterprise-grade security, increased visibility, and governance controls. This unified infrastructure enables developers to create and deliver AI-powered applications with greater efficiency and peace of mind. "The demand for secure and efficient AI implementations continues to rise, with many businesses aiming to expand their AI strategies in 2025. However, AI deployments often struggle to reach production due to significant security challenges," said Gal Marder, Chief Strategy Officer at JFrog. "AI-powered applications are inherently complex to secure, deploy, and manage, and concerns around the security of open-source AI models and platforms continue to grow. We're excited to collaborate with NVIDIA to deliver an easy-to-deploy, end-to-end solution that enables companies to accelerate the delivery of their AI/ML models with enterprise-grade security, compliance, and provenance." With the rise and accelerated demand for AI in software applications, data scientists and ML engineers face significant challenges when attempting to scale their enterprise ML model deployments. The complexities of integrating AI workflows with existing software development processes—coupled with fragmented asset management, security vulnerabilities, and compliance issues—can lead to lengthy, costly deployment cycles and, often, failed AI initiatives. According to IDC, by 2028, 65% of organizations will use DevOps tools that combine MLOps, LLMOps, DataOps, CloudOps, and DevOps capabilities to optimize the route to AI value in software delivery processes. "The rise of open source MLOps platforms has made AI more accessible to developers of all skill levels to quickly build amazing AI applications, but this process needs to be done securely and in compliance with today's quickly evolving government regulations," said Jim Mercer, IDC's Program Vice President, Software Development, DevOps & DevSecOps. "As enterprises scale their generative AI deployments, having a central repository of pre-approved, fully compliant, performance-optimized models developers can choose from and quickly deploy while maintaining high levels of visibility, traceability, and control through the use of existing DevSecOps workflows is compelling." The JFrog integration with NVIDIA NIM enables enterprises to seamlessly deploy and manage the latest foundational LLMs – including Meta's Llama 3 and Mistral AI – while maintaining enterprise-grade security and governance controls throughout their software supply chain. JFrog Artifactory – the heart of the JFrog Platform – provides a single solution for hosting and seamlessly managing all software artifacts, binaries, packages, ML Models, LLMs, container images, and components throughout the software development lifecycle. By integrating NVIDIA NIM into the JFrog Platform developers can easily access NVIDIA NGC – a hub for GPU-optimized deep learning, ML, and HPC models. This provides customers with a single source of truth for software models and tools, while leveraging enterprise DevSecOps best practices to gain visibility, governance, and control across their software supply chain. The JFrog Platform update provides AI developers and DevSecOps teams with multiple benefits, including: Unified ML & DevOps Workflows: Data Scientists and ML Engineers can now version, secure, and deploy models using the same JFrog DevSecOps software development workflows they already know and trust. This eliminates the need for teams to use separate ML tools while ensuring automated compliance checks, audit trails, and governance of ML Models using JFrog Curation. End-to-End Security & Integrity: Implement continuous security scanning across containers, AI models and dependencies – delivering contextual insights across NIM microservices - to identify vulnerabilities, supplemented by smart threat detection that focuses on real risks and proactive protection against compromised AI models and packages. Exceptional Model Performance and Scalability: Optimized AI application performance using NVIDIA accelerated computing infrastructure, offering low latency and high throughput for scalable deployment of LLMs to large-scale production environments. Easily bundle ML models with dependencies to reduce external requirements and utilize existing workflows for seamless AI deployment. Additionally, the JFrog Platform offers flexible deployment options for increased scalability, including self-hosted, multi-cloud, and air-gap deployments. "Performance and security are crucial for successful enterprise AI deployments," said Pat Lee, vice president, Enterprise Strategic Partnerships, NVIDIA. "With NVIDIA NIM integrated directly into the JFrog Platform, developers can accelerate AI adoption with a unified, end-to-end solution for building, deploying, and managing production AI agents at scale." For a deeper look at the integration of NVIDIA NIM into the JFrog Platform, read this blog or visit You can also see the JFrog and NVIDIA NIM integration showcased at NVIDIA GTC, the premier AI conference, taking place from March 17-21 in San Jose, California. Get started, register, and book a meeting or hands-on demo here. Like this story? Post this on X (Twitter): .@jfrog + @nvidia delivers the industry's first #softwaresupplychain solution, offering a secure, streamlined path for rapidly building world-class #GenAI solutions. Learn more: #MLOps #DevSecOps #GPUs #MachineLearning #AI About JFrog JFrog Ltd. (Nasdaq: FROG) is on a mission to create a world of software delivered without friction from developer to device. Driven by a "Liquid Software" vision, the JFrog Software Supply Chain Platform is a single system of record that powers organizations to build, manage, and distribute software quickly and securely, ensuring it is available, traceable, and tamper-proof. The integrated security features also help identify, protect, and remediate against threats and vulnerabilities. JFrog's hybrid, universal, multi-cloud platform is available as both self-hosted and SaaS services across major cloud service providers. Millions of users and 7K+ customers worldwide, including a majority of the Fortune 100, depend on JFrog solutions to securely embrace digital transformation. Once you leap forward, you won't go back! Learn more at and follow us on X: @jfrog Cautionary Note About Forward-Looking Statements This press release contains "forward-looking" statements, as that term is defined under the U.S. federal securities laws, including, but not limited to, statements regarding our expectations related to an anticipated increase in efficiencies in the development and accelerated delivery of AI-powered applications, and anticipated benefits to AI developers and DevSecOps team, including an expected increase in security, integrity and scalability. These forward-looking statements are based on our current assumptions, expectations, and beliefs and are subject to substantial risks, uncertainties, assumptions and changes in circumstances that may cause JFrog's actual results, performance or achievements to differ materially from those expressed or implied in any forward-looking statement. There are a significant number of factors that could cause actual results, performance or achievements to differ materially from statements made in this press release, including but not limited to risks detailed in our filings with the Securities and Exchange Commission, including in our annual report on Form 10-K for the year ended December 31, 2024, our quarterly reports on Form 10-Q, and other filings and reports that we may file from time to time with the Securities and Exchange Commission. Forward-looking statements represent our beliefs and assumptions only as of the date of this press release. We disclaim any obligation to update forward-looking statements except as required by law. View source version on Contacts Media Contact: Siobhan Lyons, Sr. Mngr. Global Communications, siobhanL@ Investor Contact: Jeff Schreiner, VP of Investor Relations, jeffS@ Sign in to access your portfolio
