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.
Intervenants
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
Hersh Iyer est Senior Principal Product Manager chez Atlassian, où il dirige la stratégie de plateforme et de données. Il s'attache actuellement à définir ce qui constitue une plateforme de données adaptée à l'IA et à traduire cette stratégie en fonctionnalités fondamentales qui pilotent les expériences d'IA. Il a également contribué à l'élaboration et au lancement d'initiatives clés, dont le Teamwork Graph d'Atlassian, qui sous-tend des produits comme Rovo.
Avant de rejoindre Atlassian, Hersh a occupé plusieurs postes de direction produit chez Amazon, où il a travaillé sur Alexa, dans les domaines de l'apprentissage automatique, de l'automatisation et de l'interface utilisateur multimodale. Il est titulaire d'un MBA de NYU Stern et d'un master en sciences informatiques de Georgia Tech.