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Here’s an overview of our latest blog posts on enterprise search and artificial intelligence.
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AI Trends 2026: From the experimental phase to productivity

01/07/2026
2025 was a year of high expectations: new AI models of all sizes, major reasoning breakthroughs, and growing availability of generative AI across enterprises. Yet the flood of proof-of-concepts also revealed that not every idea holds up in practice. 2026 will therefore not be defined by the next hype, but by a readjustment: What really works? Where is measurable added value created? What can be reliably operated and monitored in daily work? These trends are shaping this phase.

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07.07.2015

The difference between stemming and lemmatization

"Stemming" as well as "Lemmatization" are commonly used buzzwords in the field of Information Retrieval (IR), particularly in the development of powerful search engines. [...]

So what exactly is the difference between these two methods? What are the advantages and disadvantages and which one should be preferred? [...]
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13.04.2015

Approximative data structures for natural language processing

Some say software developers draw their motivation from minimizing or maximizing numbers in any given problem. That's a smug innuendo. From my experience, developers are always on the lookout for beautiful solutions, of which numbers are but a symptom. The usage of approximative data structures for language processing is one such example of a beautiful idea with nice numbers.

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