Highly individual email journeys using Natural Language Generation – an interview with Rabbit e-Marketing

– Reading Time: 2 minutes – Nikolaus von Graeve explains in this interview how Natural Language Generation, or NLG, is creating new possibilities for companies in personalization of email communication. Hello Nik, please introduce yourself and Rabbit e-Marketing. Rabbit eMarketing was founded in 2004 as an email marketing agency — at the beginning we were […]

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Otto lets editors and robots work together successfully

“Text robots are the future of e-commerce.” This is what Patrick Zackert, Product Manager E-Commerce at Otto, reports in the current article of the “Lebensmittelzeitung” (LZ) – the leading trade medium for the consumer goods industry – and puts forward a thesis that could revolutionize the entire industry. The e-commerce giant Otto is already generating […]

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NLG: A Confession from Unaice

Reading Time: 2 minutes At AX Semantics we rely on a large network of partners. We are taking some time here in the blog to introduce our partners. The first is Unaice. Good morning, Andreas. Who are you and what does Unaice do? I am a 49-year-old Bavarian who moved to Nordrhein Westfalen as an […]

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Natural Language Generation in the Financial Sector – Practical Experience

– Reading Time: 2 minutes –  It is always exciting to see in how many sectors NLG is used successfully. Today Mario Berger, Director at Deloitte, reports on his experiences with the AX Semantics Natural Language Generation software in Financial Services. AX: Hello Mario, please introduce yourself to our readers. MB: I have been in […]

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How to save Time in Reporting through Natural Language Generation

Reading Time: 4 minutes Hello Stephan, please introduce yourself to our readers. Hello Saim, it’s nice to meet you here in Berlin. I would be glad to introduce myself. I am now 46 years old and have been working for Creditreform Rating in Neuss since 2003. Since 2013 I have been an authorized signatory at […]

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How Creditreform saves valuable time through natural language generation – part 2

What exactly does Creditreform do with Natural Language Generation (NLG)? The preparation of textual balance sheet comments is a very complex and time-consuming process and depends heavily on the experience of the credit analyst. We want to use NLG to optimize the process of commenting, to significantly reduce the manual effort, and to fully automate […]

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