Save time and prevent missed knowledge with Rovo

Join Paul Atfield, Data, Analytics, and AI lead at Education Outcomes Fund (EOF) and the Atlassian Foundation to dive into their favorite Rovo use cases. You’ll get live demos and hear tips on how to encourage AI adoption for your whole team.

You can expect simple, impactful examples including:

  • Program reporting with Rovo Deep Research
  • Summarizing weekly updates with Rovo Chat
  • Cleaning your Confluence space with Rovo Chat
  • Shaping and refining goals using the OKR Generator Agent

It’ll be human-AI collaboration in action.

Leave with a list of ideas you can try out right away.

Plus stick around to ask any questions you have to these teams and a Rovo product manager.

 

发言人

Paul Atfield

AI lead, Education Outcomes Fund

Paul is the Data, Analytics and AI Lead at the Education Outcomes Fund (EOF), where he develops data strategies and AI tools to strengthen programme design and learning. He brings over 20 years’ experience in quantitative analytics, having led systematic trading businesses at JP Morgan and Jefferies. At EOF, Paul applies this expertise to build scalable systems that turn data into insights and deliver measurable impact for vulnerable children worldwide.

Annie Lieu

Product manager central AI, Atlassian

Annie Lieu 现任 Atlassian 的产品经理，专注于将 Rovo 及人工智能支持的解决方案引入现代工作场所的各个领域。她牵头推进多项工作，致力于通过 Rovo Extension、Rovo Mobile 等客户端应用，将智能功能直接融入用户在浏览器、桌面端及移动端的日常工作流中，让人工智能变得触手可及且不可或缺。凭借在 Confluence 人工智能与集成领域的深厚经验，Annie 充分利用其对协作与平台可扩展性的深刻理解，将 Atlassian 的人工智能创新融入日常工作中。

Taylor Light

Director, Atlassian for Nonprofits

Taylor Light 负责 Atlassian 非营利组织计划。他主导非营利组织及社会影响力组织的战略制定、合作伙伴关系及技术应用推广。在加入 Atlassian 之前，Taylor 曾为“全球公民”组织牵头开展国际发展倡导相关的活动与事件，还曾担任哥伦比亚大学创业创新与设计中心以及麻省理工学院 D-Lab 的计划与监测评估设计顾问。