"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…

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…

Fasten your seatbelt and join an exhilarating session that delves into the transformative world of decentralized data management and artificial intelligence (AI) in the automotive industry. Embark on a journey through the latest trends, innovations, and data-driven decision-making techniques that are shaping the road ahead. Get ready to uncover the revolutionary Data Mesh technology and its pivotal role in propelling the industry forward. Learn about mastering data domains, harnessing data…

GenAI services have been rapidly integrated into various digital business models, but what if your data holds better answers? How can this technology be combined with an organization's knowledge and data?

This talk explores Large Language Models (LLMs) and their augmentation with custom data via Retrieval-Augmented Generation (RAG). Discover Statista's pioneering journey from rich search results to concise, informed answers with their LLM-based application, ResearchAI. We'll discuss challenges…

Disclosure - this is a talk about people - not about AI. This is a talk about how we will continue to apply our humans strenghts in a world enhanced by AI.

One of the LLM engines I work with seems to think it can take over my job as an architect. I say with some confidence that for the next few decades, my job will be heavily influenced by AI, but not replaced by AI. For example I am presenting and OOP and *it* is not.

Software architects and system architects will not be replaced anytime soon…

In den letzten Jahren haben generative KI-Tools, insbesondere im Bereich des Designs, erheblich an Bedeutung gewonnen. Die meisten Diskussionen konzentrieren sich jedoch auf die Bildgenerierung und vernachlässigen das breitere Spektrum an Aufgaben im Designprozess, insbesondere im Kontext des User-Centered Design (UCD). Das UCD-Framework betont das Verständnis der Benutzerbedürfnisse, die Generierung von Ideen und Anforderungen, das Prototyping konkreter Lösungen und die Einbeziehung von…

Wie verändert unsere Sprache die KI und die KI unser Denken?

Der Einsatz von LLMs hat rasant zugenommen, ohne KI kommen wir gefühlt kaum noch aus. Gleichzeitig wissen wir, dass die Modelle Biases beinhalten, die zu ethisch fragwürdigen oder nach menschlichem Ermessen unfairen Ergebnissen führen können, und dass die KI diese Vorurteile von uns gelernt hat! Wenn nun aber die KI von uns lernt und wir von der KI, wo setzen wir dann an, um uns gemeinsam zu verbessern?

In diesem Talk greife ich alte…

AI for testing to generate test code or AI for coding (see Copilot) to suggest good code examples; this is almost "state-of-the-art". But isn't something missing? Aren't we largely dealing with brownfield software that needs to be transformed in order to be cloud-ready and scalable? Couldn't AI help here too?

In the presentation, we will look at what AI-based methods could do to simulate architecture restructuring (based on data that goes beyond code to evaluate feature/temporal coupling,…

The development and deployment of AI and Generative AI systems in a way that promotes environmental, social, and economic well-being for current and future generations is referred to as sustainable AI. To do this, AI must be built with energy-efficient algorithms and run on renewable energy sources to reduce carbon footprints. Ethical considerations are crucial, ensuring that AI respects human rights and diversity while avoiding increasing disparities. Data management must uphold the ideals of…

INITIAL SITUATION

When modernizing enterprise applications that were developed many years ago and adapted over decades, you are often faced with several challenges.

• What does the current architecture actually look like?
• Which technologies have all been utilized?
• Which and how much technical debt, i.e. things that would have to be changed anyway, are hidden in the source code?

Normally, various developers have "immortalized" themselves in the code and the architecture. And a uniform and…

This talk presents an experience report on utilising Artificial Intelligence (AI) as an intelligent assistant for a team of DevOps Engineers responsible for operating a critical customer system 24/7. Given the complexity and criticality of the supported system, the DevOps team has built a comprehensive library of how-to guides, documenting specific incident cases and their solutions.

However, accessing and following the appropriate guidelines requires diligent analysis, experience, and a high…

Generative AI is a powerful asset if you know how to tame it. As this technology rapidly transforms the software landscape, one of the key challenges lies in effectively testing and validating GenAI applications. Traditional testing methodologies fall short in addressing the unique complexities posed by these systems, especially in enterprise environments.

Drawing from real-world experiences and hard-earned insights, we'll explore how to adapt established software engineering principles to the…