BigData, Machine-learning, AI & AnalyticsConference50min
Embedding AI: Don’t burn your fingers in the heat of the AI revolution
L'intégration de l'IA dans les systèmes est complexe, nécessitant des décisions sur les méthodes de construction, la synchronisation des données et la surveillance des biais. Cette session pratique montre comment éviter les erreurs courantes, gérer la gouvernance, la sécurité et le suivi, pour intégrer l'IA de manière sûre et équitable, protégeant ainsi la confiance et les résultats commerciaux.
Maarten VandeperreRed Hat
Camille NigonRed Hat
talkDetail.whenAndWhere
Thursday, June 19, 13:45-14:35
Main Room
AI is one of the hottest topics in tech today, but embedding it into your systems is far from straightforward! It’s not just about deploying a model and connecting it with LangChain4J: You’ll need to make key decisions about build methods, how to synchronize and secure data, and ensure proper monitoring for bias and drift. Without careful planning, integrating AI can lead to serious issues like unfair outcomes, data security breaches, and unreliable predictions. The stakes are high, and getting it wrong can result in real-world consequences that impact trust and business outcomes.
In this hands-on session, we’ll show you how you can avoid some of the “burns” commonly experienced when integrating AI into systems and take you through how to safely embed an AI model into a platform. Together, we’ll explore how to handle challenges like governance, security, and monitoring while ensuring the system works reliably and fairly. By the end of the session, you’ll walk away with a clear understanding of how to integrate AI effectively and responsibly in complex systems.
In this hands-on session, we’ll show you how you can avoid some of the “burns” commonly experienced when integrating AI into systems and take you through how to safely embed an AI model into a platform. Together, we’ll explore how to handle challenges like governance, security, and monitoring while ensuring the system works reliably and fairly. By the end of the session, you’ll walk away with a clear understanding of how to integrate AI effectively and responsibly in complex systems.
Maarten Vandeperre
Maarten Vandeperre is an experienced software professional who recently joined Red Hat as an Appdev & AI Specialized Solutions Architect. With a strong background in software development and architecture, he brings a wealth of expertise to his role. Maarten's primary focus is on application development and AI, with a particular emphasis on leveraging Red Hat's OpenShift platform from a developer's perspective.
One of Maarten's true passions lies in advocating for "clean architecture" as a guiding principle in software development. He firmly believes in the importance of designing software systems that are modular, maintainable, and scalable. As part of his dedication to this approach, Maarten strives to map these principles to infrastructure solutions, ensuring that the underlying technology supports and enhances the overall architecture. His deep understanding of integration technologies, such as API Gateways, Keycloak, Kafka, service mesh, and Camel, enables him to create seamless connections between systems while adhering to clean architectural principles.
Driven by his unwavering passion for software development, AI enablement and his commitment to continuous learning, Maarten is constantly seeking innovative solutions that effectively align technical complexities with business objectives. His extensive knowledge and experience make him a valuable asset in delivering cutting-edge solutions that empower organizations to thrive in the ever-evolving digital landscape.
One of Maarten's true passions lies in advocating for "clean architecture" as a guiding principle in software development. He firmly believes in the importance of designing software systems that are modular, maintainable, and scalable. As part of his dedication to this approach, Maarten strives to map these principles to infrastructure solutions, ensuring that the underlying technology supports and enhances the overall architecture. His deep understanding of integration technologies, such as API Gateways, Keycloak, Kafka, service mesh, and Camel, enables him to create seamless connections between systems while adhering to clean architectural principles.
Driven by his unwavering passion for software development, AI enablement and his commitment to continuous learning, Maarten is constantly seeking innovative solutions that effectively align technical complexities with business objectives. His extensive knowledge and experience make him a valuable asset in delivering cutting-edge solutions that empower organizations to thrive in the ever-evolving digital landscape.
Camille Nigon
Camille Nigon is an AI Solutions Architect at Red Hat, specializing in open-source innovation and AI-driven solutions. With a background in data science, she is passionate about leveraging AI to solve complex challenges and driving technological progress through collaboration.
She is dedicated to promoting diversity in tech and actively contributes to initiatives that foster inclusive innovation. Combining deep technical expertise with a problem-solving mindset, Camille focuses on building scalable, high-performance solutions across cloud, on-prem, and hybrid environments.
She is dedicated to promoting diversity in tech and actively contributes to initiatives that foster inclusive innovation. Combining deep technical expertise with a problem-solving mindset, Camille focuses on building scalable, high-performance solutions across cloud, on-prem, and hybrid environments.
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