Keysight Software Test Automation

Join Keysight at Siemens Realize LIVE in Amsterdam, The Netherlands, to see how Eggplant AI-powered #testautomation is transforming validation across the Siemens #DigitalThread. Discover how teams move beyond fragile manual testing to intelligent, end-to-end validation of real user workflows across Teamcenter, NX, Polarion, Opcenter, and ERP systems. Learn how organizations are reducing test cycles by up to 40 percent, accelerating releases, and improving quality with confidence. See how Siemens uses #KeysightEggplant to manage testing at scale and navigate complex environments with ease. Register here: https://lnkd.in/eaNu8qJe #AI #SoftwareQualityEngineering #DesignEngineeringSoftware

💡 What's New in Keysight Eggplant? 💡 It's been a busy quarter for the Eggplant team, and there's a lot to share! Some highlights: - Find by Description – a new AI-powered capability that lets you locate UI elements using plain English rather than image assets or accessibility trees. - Eggplant Studio brings Connect/Disconnect script support, a Find Text panel, Custom Snippets, and a dedicated settings panel. - DAI moves to HTTPS-only connections, gets native Xray Cloud integration, and introduces Spaces for role-based access control across test assets. - Eggplant Gateway now supports Microsoft's RD Gateway protocol with a modernized RDP implementation as the new default. - Eggplant Monitoring adds support for MCP server monitoring so you can track performance and availability. For the full breakdown, read the complete blog post: https://lnkd.in/eFSnGr7e Want to see any of these in action? Get in touch here: https://lnkd.in/ehWYDCBS

AI testing has a platform problem. Natural language authoring, self-healing, and AI-assisted analysis all help. But they only help inside the boundary of what the platform can actually test. That matters in enterprise QA, where testing often spans packaged software, custom apps, desktop clients, APIs, virtualized environments, and workflows that do not behave nicely for browser-only automation. AI can improve test creation and maintenance. It cannot fix a platform that cannot reach the real workflow. #AITesting #TestAutomation #SoftwareTesting #QualityEngineering

We’re excited to be attending Realize LIVE Americas 2026 – Siemens’ flagship event for digital transformation. This industry-leading conference brings together engineers, innovators, and digital leaders for expert sessions, hands-on learning, and networking focused on AI, the digital thread, and product innovation. 📍 June 1–4, 2026  📍 Huntington Place | Detroit, MI Stop by Booth #218 to see how Keysight Eggplant is transforming testing across the Siemens ecosystem. Using AI-driven computer vision automation, Eggplant validates real user workflows end-to-end across: ✔️ Digital Engineering (Teamcenter, NX, Polarion, ERP)  ✔️ Digital Manufacturing (Teamcenter, Opcenter, ERP) With Eggplant, teams can reduce test cycles by up to 40% by replacing manual testing with faster, more reliable validation – helping organizations release upgrades with greater confidence, even in highly customized environments. 🎟️ Special Offer: Register using our Customer Conference Pass for $200 off and be sure to include Keysight in the referral box. We look forward to seeing you in Detroit! Referral code: https://lnkd.in/e2k8cMCK

Keysight is attending Siemens Realize LIVE Americas 2026, and looks forward to connecting with engineering, manufacturing, PLM, design, and IT professionals to discuss how automated testing can help validate complex software and product lifecycle environments. This industry-leading conference brings together engineers, innovators, and digital leaders for expert sessions, hands-on learning, and networking focused on AI, the digital thread, and product innovation. 📍 June 1–4, 2026 📍 Huntington Place | Detroit, MI Stop by Booth #218 to see how Keysight Eggplant is transforming testing across the Siemens ecosystem. Using AI-driven computer vision automation, Eggplant validates real user workflows end-to-end across: ✔️ Digital Engineering (Teamcenter, NX, Polarion, ERP) ✔️ Digital Manufacturing (Teamcenter, Opcenter, ERP) With Eggplant, teams can reduce test cycles by up to 40% by replacing manual testing with faster, more reliable validation; helping organizations release upgrades with greater confidence, even in highly customized environments. 🎟️ Special Offer: Register using our Customer Conference Pass for $200 off and be sure to include Keysight in the referral box. We look forward to seeing you in Detroit!

Six weeks to six months. That's how long enterprise QA teams are waiting between buying an AI testing platform and being allowed to use it. The most common reason teams hadn't started using the AI they'd already paid for wasn't tooling immaturity. It was that internal security hadn't signed off. Three questions are driving those reviews: 1. Does the vendor train its models on our test data? Test cases describe how our applications behave and where they break. That's IP. 2. Where does our data go during inference? Third-party model provider? Out of region? Persisted after the call? 3. Can the AI run offline? For regulated industries, external inference is a non-starter. The teams clearing this in weeks rather than months do three specific things. - They bring security into the vendor evaluation, not after the contract is signed. - They write AI policies that distinguish between use cases. An AI that generates test cases from requirements is a different risk profile to one analysing production traffic, and a single blanket policy treats them as the same. - And they ask vendors the right questions upfront: data training, residency, offline deployment, DPA terms. Most vendors have clean answers. You just have to ask. If your 2026 plan includes AI-powered testing, the timeline isn't "when can we procure." It's "when can we procure, plus security approval." That second number is where most plans break. For QA leaders, this is a relationship problem with an internal team. Build it before you need it. #SoftwareTesting #TestAutomation #AITesting #QualityAssurance #EnterpriseAI #SDET

Forrester has quietly retired "continuous automation testing" as a research category. The replacement is autonomous testing platforms. The rename isn't cosmetic. Two numbers from the inaugural Wave explain why: 1. Customers on platforms in the Wave now automate 51–60% of their tests. Industry average is 20–25%. 2. AI layered on top of that baseline adds a further 21–30% uplift. If your 2026 QA budget doesn't reflect that the category has moved, you're writing a budget for a category that doesn't exist anymore. The full Forrester research: https://lnkd.in/ecVcBgd6

AI increases software output. It does not automatically increase software confidence. Every stage of the development lifecycle is getting faster. Code generation, requirements, test creation, delivery pipelines. But faster output without stronger validation just means you're shipping more uncertainty at higher velocity. AI-generated code still carries duplicated logic, missed edge cases, security gaps, and architectural conflicts. AI-generated tests can inflate your suite without telling you whether critical business workflows actually work across real data, real roles, and real environments. The question isn't how many tests you can generate. It's whether your release decision is backed by evidence or by volume. Release confidence is a risk decision, not a counting exercise. This article covers what this shift means for QA leaders, what to measure, where AI-augmented testing helps, and where test volume creates a false sense of coverage. #SoftwareTesting #QALeadership #AITesting #TestAutomation #ReleaseConfidence

AI is no longer just a buzzword in PLM...it’s becoming a strategic imperative.   Join us at PLM Road Map & PDT North America 2026, happening May 6–7, 2026 at The Westfields Marriott in Chantilly, VA, where industry leaders will explore how to turn AI disruption into real business value across the product lifecycle. This event cuts through the hype and focuses on what works:  ✔️ Real-world success stories (and lessons learned)  ✔️ Practical frameworks for prioritizing AI investments  ✔️ Strategies to strengthen digital threads and digital twins  ✔️ Guidance on scaling AI across engineering and product development   We’re excited to be part of the conversation with our featured presentation:  “Accelerating Periodic PLM Upgrades with AI-based Automated Software Validation and Testing Solutions” Speaker: Karamveer Singh From data governance and interoperability to AI-driven innovation, attendees will gain actionable insights to navigate implementation challenges and accelerate transformation. If you're a PLM leader, product manager, engineer, or digital transformation professional, this is where strategy meets execution. 📅 See you in Chantilly! 

Happening today! Visual automation can feel like magic — until your image isn’t found. If you use Eggplant Functional, you’ve likely encountered visual test failures that are difficult to diagnose. In our upcoming webinar, Keysight experts Lindsey Rominsky and Meghan Danielson will walk through practical techniques to troubleshoot and stabilize image-based tests, including: - Understanding pixel tolerances - Choosing the right search algorithm - Editing and refining images correctly - Using the Image Update Panel in real time - Avoiding common causes of flaky visual tests If you’re responsible for automation reliability, this session is for you. Join us and learn how to move from failure to fix – faster. We get started at 1:00 PM EST today. #TestAutomation #SoftwareTesting #QA #AutomationEngineering #Eggplant #Keysight https://lnkd.in/eeTYNJFj