Engineering at AI Scale: How Connected Workflows Unlock Velocity, Visibility, and Governance
Let’s evolve the way we view AI. Not just as a tool but as the foundational model and operating system for your organization. This session explores how engineering leaders can move beyond fragmented tools toward a unified, AI-native system that drives connected workflows and long-term scale.
Teamwork Collection is the operating system you need to scale AI across your organization. AI is most effective when it it is not just a tool, but an intentional leadership strategy.
Teamwork Collection are the tools, systems, and designs that enable engineering leaders to:
- scale AI responsibly,
- unlock measurable productivity gains,
- build and maintain trust, visibility, and governance across technical teams.
Join this webinar to lead the shift from fragmented AI features to governed, scalable architecture. Implementing AI needs to evolve from a discussion of tools into conversation about connected workflows and operating-models.
スピーカー
Partha Kamal
Product Manager Leader, Atlassian
Partha Kamal は企業導入の製品管理リーダーであり、サンフランシスコを拠点としています。アトラシアンに 17 年以上勤務しており、アトラシアンにおける初のクラウド移行リーダーでした。在職中に組織全体でさまざまな役割を経験してきた Partha は、アトラシアンだけでなく、当社のすべての製品とデプロイにおける正真正銘の「対象分野のエキスパート」であり、現在はエンタープライズ採用戦略を主導しています。また、お客様からのフィードバックが確実に届き、行動に移せるようにすることに情熱を傾けています。彼が気に入っているアトラシアンの価値観は「自分自身が変化の原動力になる」です。
Tanya Chen
HoE, Work Management
Tanya Chen, a seasoned engineering professional, recently commemorated her two-year milestone at Atlassian, where she serves as the VP of Engineering for Teamwork Collection group.Tanya has been recognized for her leadership skills and her ability to guide teams toward significant milestones. Her professional philosophy, centered on quality, data-driven decision-making, and strategic prioritization, has been instrumental in shaping successful product outcomes. Outside of her professional pursuits, Tanya finds joy in her role as a devoted mother of two boys and enjoys family adventures, outdoor exploration, and the pursuit of new knowledge.