{"id":17562,"date":"2018-08-06T18:39:50","date_gmt":"2018-08-06T16:39:50","guid":{"rendered":"https:\/\/dfge.de\/?page_id=17562"},"modified":"2024-08-06T18:30:26","modified_gmt":"2024-08-06T16:30:26","slug":"artificial-intelligence-csr","status":"publish","type":"page","link":"https:\/\/dfge.de\/en\/artificial-intelligence-csr\/","title":{"rendered":"CSR and Artificial Intelligence"},"content":{"rendered":"

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Sustainability Intelligence<\/h3><\/div>
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CSR and Artificial Intelligence<\/p>\n<\/div>\n<\/div>\n

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Artificial intelligence (AI) is changing the economy and our lives. At DFGE, we therefore began to explore the possibilities of machine learning, especially neural networks, several years ago. The result are business cases that help to evaluate collected data in an automated way and provide new insights for the optimization of your CSR.<\/p>\n

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Dr.-Ing. Thomas Fleissner<\/h3>\n

Gounder and CEO of DFGE<\/strong><\/p>\n

We have been dealing with fact-based corporate sustainability for a long time.\u00a0Therefore, it makes sense to try out new methods here.\u00a0Imagine the opportunities that arise when you collect a large amount of different CSR data in a Big Data approach, evaluate them with Machine Learning, and gain new insights for your CSR management!\u201d<\/span><\/span><\/p>\n<\/q>[\/vc_column][vc_column css_animation=”fadeInRight” width=”1\/3″][vc_icon icon_fontawesome=”fas fa-info” color=”black” background_style=”rounded” align=”center”]