Make AI Useful with Knowledge Graphs

Many organizations have invested in AI—but still struggle to see real business impact because AI lacks the context of how work actually gets done. In this live Forrester + Atlassian webinar, learn how knowledge graphs, like Atlassian’s Teamwork Graph, can make AI truly useful at work.

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  • Many organizations have poured time and budget into AI and AI agents, yet still don’t see the returns they expected. Building on a new Forrester Consulting Thought Leadership Paper, commissioned by Atlassian and based on a survey of 275 AI decision-makers, this webinar explores why AI initiatives stall—and how knowledge graphs, like Atlassian’s Teamwork Graph, can transform AI’s usefulness by connecting it to unified, AI‑ready organizational knowledge.
  • Join Forrester Senior Analyst Will White and Atlassian Senior Principal PM Hersh Iyer as they share key findings from Forrester’s research on enterprise AI performance; explain what knowledge graphs are and why they’re critical for trustworthy, high‑impact AI; show how connecting AI to the right knowledge improves relevance, adoption, and ROI; and discuss the modern data platform foundations needed to scale AI across your organization.

Авторы

Will White

Senior Analyst at Forrester

Will works as a senior analyst on Forrester’s technology architecture and delivery (TAD) team, focusing on modern service delivery. His research helps enterprises understand and capitalize on advancements in processes and technologies, including unified communications as a service (UCaaS), the proactive help desk, chatbots for employee support, enterprise service management (ESM), virtual desktop infrastructure (VDI), and more.

Hersh Iyer

Senior Principal Product Manager at Atlassian

Херш Айер — старший главный менеджер по продуктам в Atlassian. Он руководит стратегией использования платформ и данных. В настоящее время Херш сосредоточен на определении признаков, по которым можно понять, что платформа обработки данных готова к использованию ИИ, а также на выработке стратегии по внедрению ИИ в базовые возможности платформ. Херш участвовал в разработке и запуске ключевых инициатив компании Atlassian, в том числе Teamwork Graph, на основе которого работает Rovo.

До прихода в Atlassian Херш занимал руководящие должности в Amazon, где работал над Alexa и занимался такими аспектами, как машинное обучение, автоматизация и мультимодальный пользовательский интерфейс. Херш получил степень магистра делового администрирования в Школе бизнеса Стерна Нью-Йоркского университета и степень магистра компьютерных наук в Технологическом институте Джорджии.