Die Nadel im Heuhaufen finden

Data and Knowledge Management

Most organizations don't lack data. They have more than enough. The bottleneck is rarely collection, it's making the right piece of information findable, trustworthy, and usable at the moment someone actually needs it. This is where AI is genuinely strong. Finding the proverbial needle in a haystack, spotting the pattern across millions of records no human would have the patience to trace, reading a document and pulling out what matters - these are tasks where well-built machine learning outperforms manual effort by a wide margin.

Wie gut ist Ihr Chatbot?

The 9senses Chatbot Audit evaluates the performance of your chatbot from a user perspective.

Mit Eliza reden

Talk to Joseph Weizenbaum's Eliza in a replica of the 1966 version.

With Generative AI, we risk stealing from our own future

When we are using generative AI, to create new output we are exploiting knowledge previously generated by humans. But who is rebuilding knowledge for the next generation?

KI-Chatbots in der Automobilindustrie - große Versprechen, ernüchternde Realität

9senses-Analyse: Nur 16 von 129 untersuchten Herstellern und großen Händlern in der DACH-Region setzen auf KI-Chatbots im Kundenservice – mit großer Qualitätsstreuung

The AI Feedback Lottery

Large Language Models judge your work differently every time you ask. That is not just a quirk of the technology - it is a fundamental challenge to how we create, validate, and trust ideas.

Der neue Baron von Münchhausen

AI hallucinations aren't random - they cluster, systematically and predictably, in the topics you cannot independently verify.

Lost in Translation

Im Bereich der dialogorientierten KI dominiert die englische Sprache, was für andere Sprachen schwerwiegende strukturelle Folgen hat, die nur mit erheblichem Aufwand behoben werden können.

Führt KI zum Weltuntergang?

Renowned AI experts see a significant chance that AI could lead to the end of humanity. Is that a realistic prediction or doomsday talk? Short answer: it's not AI that's the problem, it's us.

“Knowledge is of two kinds. We know a subject ourselves, or we know where we can find information upon it.”

Samuel Johnson (1709–1784)

But there is a catch that gets overlooked in every demo: an AI system is only ever as good as the data underneath it. Feed it incomplete, contradictory, or poorly structured information, and it won't tell you it's struggling. It will answer with the same confidence it shows when it's right.

That is why we treat the unglamorous foundation work - clean, well-structured, governed data - as the part that actually decides whether an AI project delivers value or just looks good during a demonstration. Get the foundation right, and the applications on top become reliable. Skip it, and no amount of model sophistication or UI polish will save it.

Wissens-management

KI kann dabei helfen, Wissen für Kunden und Mitarbeiter verfügbar und nutzbar zu machen.

Data Lakes / Warehouse

Noch nie war es einfacher, systemübergreifend Daten für Ihr Unternehmen verfügbar zu machen.

Dokumenten-verarbeitung

Die automatische und exakte Verarbeitung eingehender Dokumente verbessert Geschäftsprozesse.

Customer Insight

KI kann dabei helfen, wichtige Kunden besser zu bedienen, neue Geschäfte zu finden und Betrug zu identifizieren.

Coming soon...