Greetings,
October is here, and there’s plenty to talk about! Fresh off two great days at NASPICE 2026 in Novi, Michigan, we’re keeping the momentum going with an upcoming live webinar, the latest industry news, exciting product updates, and more. Let’s dive in!
Partner News and Announcements
IBM FinOps
FinOps Was Built for Cloud. Now It Needs to Adapt for AI As AI adoption accelerates, FinOps teams face new challenges in understanding, allocating and optimizing costs. A new IBM Apptio article explores how FinOps practices can evolve to manage AI spending across different consumption models while keeping financial accountability and business value in focus. Read >>>
Your AI Budget Has a Memory Problem AI costs go beyond tokens and GPUs. As organizations expand their AI initiatives, unused datasets, logs, and test environments can quietly drive up costs. Discover how better visibility and data retention practices can help control AI spending. Read >>>
Predict Kubernetes Costs Before You Deploy IBM Kubecost has enhanced its Cost Prediction GitHub Action with new capabilities for comparing cost changes, checking thresholds and evaluating budgets. Teams can now see how proposed code changes may affect Kubernetes spending before those changes reach production. Read >>>
The AI Bill Is Bigger Than Tokens AI spending extends far beyond model and token costs. A new IBM Apptio article identifies seven often-overlooked cost drivers—including data infrastructure, GPUs, engineering resources, governance and capacity—and explains why organizations need to connect the full cost of AI to the business outcome it delivers. Read >>>
SodiusWillert
Best Practices for Reviewing Requirements in Complex Engineering Environments Discover how better collaboration, traceability, and AI-assisted reviews can help engineering teams manage complex requirements, catch issues earlier, and make more informed decisions in this SodiusWillert article by Eran Gery. Read >>>
On-Demand Webinar: Connect Jira Cloud with IBM ELM for End-to-End Traceability See how OSLC Connect for Jira Cloud connects Jira Cloud with IBM ELM, helping teams improve collaboration, maintain end-to-end traceability, and keep requirements, development, and testing connected. Watch >>>
IBM
What if AI Could Understand Your Requirements? Join IBM and 321Gang for a live webinar featuring Carlos Ramirez, who will demonstrate how IBM Engineering AI Hub and IBM Engineering Lifecycle Management work together to simplify complex requirements. See how AI can improve requirements quality, uncover information faster, and help teams make smarter engineering decisions. Register >>>
IBM Rhapsody 1.9 Strengthens Digital Engineering Traceability IBM Rhapsody Systems Engineering 1.9 enhances DOORS Next integration, AI automation, and SysML v2 modeling to help teams improve traceability, collaboration, and complex systems development. Read >>>
The Requirement Wasn’t Wrong. It Was Just the Wrong Version. Discover how version history, baselines, and traceability help prevent costly requirements mistakes and keep engineering teams aligned. Read >>>
GitLab
GitLab 19.4 Expands Agentic AI Automation GitLab 19.4 expands AI automation, MCP tools, and security controls while improving visibility into AI usage and costs, helping teams streamline development and scale AI-powered DevSecOps. Learn more >>>
Pure Variants
AI in PLM: What Can Organizations Realistically Expect? AI is transforming PLM, but success takes more than technology. Discover why organizational readiness, connected data, and aligned processes are essential to realizing AI’s potential. Read >>>
Industry-Related News
The Cloud Bill Went Down. The Cost Went Up.
How Agentic AI Is Turning the Digital Thread into Action
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