"KI ist gekommen, um zu bleiben", ist von vielen Seiten zu hören. Das stimmt. KI ist nicht mehr wegzudenken. Millionenfach finden wir KI in Anwendungen und Funktionalitäten wieder. Die Entwicklung ist rasant und viele wollen noch "auf den Zug aufspringen". Darunter sind auch Lösungen, die ohne KI auskommen und sogar effizienter wären. Umso wichtiger ist es, bei der Planung zu erkennen, wann ein Problem auch ohne KI gelöst werden kann. In dieser Session lernen wir ein paar komplexe Beispiele aus der realen Welt kennen und zeigen auf, wo KI nützlich ist und vor allem wo nicht.

Zielpublikum: Projektleiter, Produktmanager, Anfänger in der Entwicklung
Voraussetzungen: Keine
Schwierigkeitsgrad: Advanced

Generative AI is the talk of the town. Anyone who spends just five minutes thinking about AI can surely come up with several useful business use cases. However, all too often, we find ourselves facing the following dilemma: we want to quickly launch our chatbots and assistant systems and bring our ideas to market readiness. Yet at the same time, important, complex, cross-functional aspects such as data protection, compliance, operational readiness, or model fine-tuning often slow down rapid development and deployment.

Furthermore, enterprise scale AI projects often involve many different stakeholders: data engineers, AI specialists, software engineers, operational experts, and business departments. Too much talking and no progress at all are the result.

AI platforms to the rescue! We believe that established platform engineering approaches and technologies, combined with LLM Ops practices, can tackle this dilemma. Only a robust, scalable, and flexible platform enables our teams to efficiently develop, operate, and manage their data, models, and applications. The platform hides the inherent technical complexity, while allowing users to fully focus on the use case and the creation of value and innovation.

We will explore what a corporate AI platform can look like and the components and services it requires. We discuss how a company-wide platform strategy not only simplifies technical implementation but also creates an ecosystem for innovation, fosters collaboration, increases reusability, and ultimately drastically shortens the time to market.

Target Audience: Developers, Architects, Data Scientists, Decision Makers, Platform Engineers
Prerequisites: Basic knowledge in AI
Level: Advanced