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Automation and AI

AI Is Changing Simulation. Is Your Engineering Infrastructure Ready?

AI Is Changing Simulation. Is Your Engineering Infrastructure Ready?

Key Takeaways: AI is changing simulation from a late-stage validation step into a continuous part of product development, helping teams explore more designs, automate setup, and support predictive digital twins. AI-driven simulation still depends on high-performance...

Using Atlassian Rovo to Connect AI, Knowledge, and Workflows

Using Atlassian Rovo to Connect AI, Knowledge, and Workflows

Key Takeaways Rovo gives AI the organizational context generic chatbots often lack. It connects people, projects, documents, and workflows through the Atlassian Teamwork Graph. Teams can find project context faster. Rovo pulls together information from Jira,...

Migrating from Freshservice and Scaling with Atlassian AI

Migrating from Freshservice and Scaling with Atlassian AI

Key Takeaways JSM scales beyond basic ticketing: Jira Service Management connects IT, customer support, operations, and development on one platform, reducing the silos that can slow growing teams. Native DevOps alignment speeds resolution: JSM connects incidents and...

Applying AI Across the Digital Thread for Real Business Impact

Applying AI Across the Digital Thread for Real Business Impact

Key Takeaways AI needs lifecycle context to deliver real value: Standalone AI tools often struggle because they cannot see how requirements, designs, code, tests, and quality data connect across the product lifecycle. The digital thread provides the missing context:...

The Total Economic Impact™ Of GitLab Duo Agent Platform

The Total Economic Impact™ Of GitLab Duo Agent Platform

The GitLab Duo Agent Platform is changing the game for software developers by providing a place for AI agents to help with planning, coding, security analysis, and analytics. While help from AI sounds great, ROI often falls short due to teams misusing it or failing to...

GitLab Orbit: Connecting the Software Lifecycle for Smarter AI Agents

GitLab Orbit: Connecting the Software Lifecycle for Smarter AI Agents

Key Takeaways AI agents need lifecycle context, not just code access: Without visibility into dependencies, pipelines, security scans, and production signals, agents are more likely to generate incorrect or incomplete changes. GitLab Orbit creates a live context graph...

How AI Agents Will Change Product Development Teams

How AI Agents Will Change Product Development Teams

Introduction Michael Roberts: Hello, and welcome back to another SPK & Associates vlog. My name is Michael Roberts. I'm the Vice President of Sales and Marketing here at SPK & Associates, and today we have a special guest. I'm joined by SPK's CEO and...

Why Most AI Initiatives Fail in Engineering and How to Scale Them

Why Most AI Initiatives Fail in Engineering and How to Scale Them

Key Takeaways AI failures are often foundation problems, not technology problems: Engineering AI initiatives frequently stall because organizations lack clear business objectives, trusted data, connected systems, and scalable processes. AI needs connected,...

Connecting Slack and JSM for Better and Faster IT Support

Connecting Slack and JSM for Better and Faster IT Support

Atlassian JSM and Slack Integration Hi, this is Carlos Almeida from SPK and Associates. Today I'll be giving you a short demo on the Atlassian JSM to Slack integration. We want an employee to be able to ask a question inside Slack. If there is an existing knowledge...

Why AI Agents Need Governance Before They Need Scale

Why AI Agents Need Governance Before They Need Scale

Key Takeaways Governance must come before scale: AI agents can access data and take actions, meaning clear rules around what they can see and do must be established before widespread deployment. Follow the principle of least privilege: Agents should only receive the...