Make AI Useful with Knowledge Graphs Study + Webinar

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Join Forrester and Atlassian for a live webinar: Make AI useful with knowledge graphs

Many organizations have invested in AI but struggle to see meaningful business impact. Models look impressive in demos, then stall in the real world because they don’t understand how work really happens across tools, teams, and systems. In this Atlassian webinar with a guest speaker from Forrester, we’ll unpack new findings from a Forrester Consulting Thought Leadership Paper, commissioned by Atlassian, and dig into how knowledge graphs, like Atlassian’s Teamwork Graph, can turn AI from a shiny add‑on into something your teams actually trust and use.

What you’ll learn

• Why so many enterprise AI initiatives stall out
  Fresh Forrester research on where AI projects get stuck, and what the leaders do differently.

• What a knowledge graph actually is (in human terms)
  How knowledge graphs work behind the scenes, and why they’re critical for relevant, trustworthy AI instead of hallucinations and generic answers.

• How to make AI context-aware across your org
  How connecting AI to unified, AI-ready organizational knowledge (work, people, systems, history) improves precision, adoption, and measurable ROI.

• Foundations for scaling AI, not just testing it
  Modern data and platform building blocks, with concrete examples from Atlassian’s Teamwork Graph and platform strategy.

Speakers

• Guest speaker, Will White, Senior Analyst at Forrester, shares the Forrester POV on modern service delivery, enterprise AI performance, and where knowledge graphs drive value.

• Hersh Iyer, Senior Principal Product Manager at Atlassian, covers Atlassian’s platform and data strategy, the Teamwork Graph, and how to evaluate solutions that embed knowledge graphs for real-world AI outcomes.

Event details

• Webinar starts on March 25, 2026, with three timezone friendly sessions
• Register for the webinar: https://www.atlassian.com/webinars/it/make-ai-useful-with-knowledge-graphs
• Can’t attend live? Register to receive the recording and resources after the session.

Share your questions

What’s the toughest part of making AI useful in your org—data quality, context, governance, or adoption? Drop your questions below for the live Q&A, and the speakers will address as many as possible.

[Bruno Legeard _Lynqa_]

Really excited to see this topic getting attention! At Smartesting's AI Lab, we've been exploring something closely related: using the knowledge graph as a backbone for RAG, where we dynamically generate GraphQL queries based on the user's intent to retrieve the right context (requirements, test data, project artifacts) before feeding them to the model.

The grounding effect on AI outputs is significant. Instead of hallucinating plausible-sounding but wrong answers, the model works from structured, project-specific data pulled from Confluence and beyond.

Looking forward to the webinar to see how Atlassian and Forrester frame the broader picture, especially around governance and scaling. Dropping my questions ahead of time!

[Calogero Bonasia]

The gap this webinar addresses is real: the distance between enterprise AI promises and measurable results almost always comes down to fragmented context, data scattered across Jira, Confluence, and external systems, teams working in silos. The Teamwork Graph speaks directly to this challenge.
That said, I'm bringing three questions to the March 25 session:
Who owns the quality of the data feeding the graph? A graph built on inconsistent data produces wrong context, not absent context, and the difference matters because the latter is visible, the former is not.
How deep is the current integration with hybrid environments, ServiceNow, SAP, non-Atlassian repositories? The answer shapes the evaluation for any organization that doesn't live entirely within the Atlassian ecosystem.
The Forrester research is commissioned by Atlassian: not a problem in itself, but it does suggest asking which control variables were used to isolate the knowledge graph's contribution from other organizational factors.
Registered. Most curious to hear Will White's take on that last point.
Kalos Bonasia