

Philip Wagner
Digital Product Consultant at Xebia
Ulm, Germany
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Throughout the past 8 years, Philip has accumulated broad experience in building digital product strategies and business models. As a Product Owner, he worked on various agile projects with a focus on IoT and cloud-based software solutions. In his role as digital product manager, Philip was responsible for the ideation, requirements engineering and roll- out of new assistance systems for construction machinery. A strong link to software development and project management capabilities strengthen his experience.
Area of Expertise
Topics
Hybrid Project Scoping - From vision to realityende
This session targets agile teams, project managers, and product owners, based on real-world use cases of an end-to-end product, from vehicle sensor technology through cloud infrastructure to an end-user app. It highlights a hybrid project approach, focusing on product management and business planning. It will demonstrate how a product vision can be transformed into a tangible and economical, hybrid development approach for complex IoT products. This session also aims to provide valuable insight into the compatibility of contrasting aspects of agile development and classic project management in a hybrid environment.
Navigating Product Ownership in complex projects without being a Tech Guruende
Being a Product Owner in tech loaded projects is a bit like jumping into the deep end without floaties - especially when your expertise isn't in the nuts and bolts of IoT or cloud platforms. In this session, I’ll share what it’s really like to wrangle a backlog for complex, technical products without being a technical guru. We’ll dig into practical aspects of backlog management, writing user stories that actually resonate, and figuring out what “definition of ready” really means for such products.
Through real-life examples - like juggling IoT components between UI and cloud backend of construction machinery or high demanding real-time monitoring for medical freezers - you’ll learn how to bridge technology gaps without being an expert coder. We’ll also dive into ways your Dev Team can support you to boost quality and product outcomes. Expect a blend of humor and hard-won wisdom as we uncover what it really takes to keep your product features and roadmap on track, even when the tech seems a bit daunting.
This session is aimed at Product Owners managing all kind of products, especially without a deep technical background. It’s also valuable for Scrum Teams and developers who want to better understand how they can support Product Owners in refining backlog quality. Agile coaches and project managers dealing with the complexities of collaboration in tech-heavy, agile projects will also gain useful insights.
Effektiver als Product Owner: Mit KI-Agents deine digitale Produktentwicklung optimierendeen
Die digitale Produktentwicklung wird immer komplexer und anspruchsvoller. Mit KI-Agents kannst du deine Arbeitsweise als Product Owner spürbar effizienter gestalten und die Ergebnisse deines Teams nachhaltig verbessern.
In dieser praxisnahen Session lernst du, wie du KI-Agents gezielt einsetzt, um wiederkehrende Aufgaben zu automatisieren, Daten strukturiert auszuwerten und dich bei strategischen Entscheidungen unterstützen zu lassen. Du erfährst, wie du solche Agents unkompliziert aufbaust, an deine Bedürfnisse anpasst und in deinen Arbeitsalltag integrierst. Besonderes Augenmerk liegt dabei auf der Auswahl geeigneter Tools, die nicht nur leicht zugänglich, sondern auch sicher im Umgang mit sensiblen Unternehmensdaten sind.
Egal, ob du Product Owner, Produktmanager oder Mitglied eines agilen Teams bist – diese Session gibt dir konkrete Ansätze und hilfreiche Tools an die Hand, um KI-Agents direkt in deine Arbeitsprozesse einzubinden und so die Produktentwicklung zu boosten.
Diese Session bietet dir praxisnahe Einblicke und umsetzbare Lösungsansätze, wie du KI-Agents effektiv und sicher in deinen Arbeitsalltag im agilen Produktentwicklungsumfeld integrierst. Wir legen besonderen Wert auf Tools, die den Schutz sensibler Unternehmensdaten gewährleisten. Generelle Vorkenntnisse im Umgang mit KI sind empfohlen – alles wird verständlich und anwendungsorientiert vermittelt.
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