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.
Redner
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 ist Senior Principal Product Manager bei Atlassian, wo er für die Leitung der Plattform- und Datenstrategie verantwortlich ist. Sein aktueller Fokus liegt darauf, zu definieren, was eine KI-bereite Datenplattform ausmacht, und anhand dieser Strategie grundlegende Funktionen für KI-Erfahrungen zu bestimmen. Er hat bei der Gestaltung und Einführung wichtiger Initiativen geholfen, darunter beispielsweise der Teamwork Graph von Atlassian, der Produkten wie Rovo zugrunde liegt.
Vor seiner Zeit bei Atlassian hatte Hersh Führungspositionen im Bereich für Produkte bei Amazon inne. Dort war er zuständig für Alexa und kümmerte sich beispielsweise um maschinelles Lernen, Automatisierung und multimodale Benutzeroberflächen. Hersh hat einen Master of Business Administration von der NYU Stern und einen Master of Science in Informatik vom Georgia Tech.