„Sobald Machine Learning ins Projekt kommt, verfallen alle in die wüsten 80er.“ Sind nun wieder Spaghetti-Code und Frickelbetrieb angesagt, nur weil auf einmal eine ML-Komponente unsere Architektur ergänzt? Larysa behauptet: nein! Wie machen wir es besser? Und wie hilft dabei MLOps? Darüber sprechen Robert und Larysa in dieser Folge.
Robert Glaser is Head of Marketing at INNOQ and acts as Emerging Technology Strategist, drawing on his extensive experience as a Senior Consultant. With a background in software engineering and expertise in developing ergonomic web applications, he advises companies on designing future-proof IT strategies focused on emerging technologies. His particular interests lie in product development, user experience, and the integration of AI into modern software products. As a bridge-builder between technology and the business world, he is passionate about user-centric digitalization. Alongside his love for IT, culinary delights are his great passion.
Larysa Visengeriyeva received her doctorate in Augmented Data Quality Management at the TU Berlin. At INNOQ she is working on the operationalization of Machine Learning (MLOps), data architectures such as Data Mesh and Domain-Driven Design.
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