{"id":20490,"date":"2024-02-01T15:54:42","date_gmt":"2024-02-01T14:54:42","guid":{"rendered":"https:\/\/www.mybits.de\/future-approaches-opportunities-and-risks-through-the-use-of-artificial-intelligence-ai-in-the-it-workplace\/"},"modified":"2025-03-18T15:05:30","modified_gmt":"2025-03-18T14:05:30","slug":"future-approaches-opportunities-and-risks-through-the-use-of-artificial-intelligence-ai-in-the-it-workplace","status":"publish","type":"post","link":"https:\/\/www.mybits.de\/en\/future-approaches-opportunities-and-risks-through-the-use-of-artificial-intelligence-ai-in-the-it-workplace\/","title":{"rendered":"Future approaches, opportunities and risks through the use of artificial intelligence (AI) in the IT workplace<\/b>"},"content":{"rendered":"

Future approaches, opportunities and risks through the use of artificial intelligence (AI) in the IT workplace<\/h1>\n<\/div>

As part of the TechDays in Munich and at several on-site events, BITS highlighted the opportunities and risks of artificial intelligence (AI) in the IT workplace.<\/p>\n<\/div>

\"artificial<\/span><\/div>

Exciting proof of concepts were presented to demonstrate how AI can revolutionize IT quality assurance, customer support, software development processes and documentation creation.<\/p>\n

Examples were used to show how AI can be used with confidence and how Large Language Models (LLMs) can be trained and fine-tuned with open source software both in the cloud and on-prem to meet individual requirements.<\/p>\n<\/div>

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Trust & transparency<\/h2><\/div>
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Consider intransparency & data protection when using LLMs<\/p>\n<\/div><\/div><\/div>

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Technological fast pace<\/h2><\/div>
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Continuous further development for competitiveness<\/p>\n<\/div><\/div><\/div>

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Cloud & OnPrem<\/h2><\/div>
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Secure integration of cloud and\/or on-prem solutions<\/p>\n<\/div><\/div><\/div>

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BITS lecture series on the topic of artificial intelligence (AI)<\/h2>\n<\/div>
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“I thought your presentation was really good and convincing. In particular, the fact that you also pointed out limitations and provided honest information about the situation. As a customer, this would inspire absolute confidence in me.”<\/p>\n<\/div><\/div><\/span><\/blockquote>

\"Daniel<\/span>Daniel Lemberger<\/strong>, <\/span>CEO IBODigital GmbH<\/span><\/span><\/div><\/div><\/div><\/div><\/div><\/div>

Challenge<\/h2>\n<\/div><\/div><\/div>

The implementation of AI systems requires a high degree of trust and transparency in order to ensure user acceptance. Clear communication about the risks and limitations of the technology is necessary in order to create realistic expectations. <\/p>\n

Another aspect is the resources required for the local training of LLMs. The availability of suitable data and sufficient computing capacity poses an additional challenge. <\/p>\n

In addition, AI technologies are developing rapidly, which means that solutions that are still considered state-of-the-art today may be outdated tomorrow. This requires continuous learning and adaptation in order to remain competitive. <\/p>\n

The black box nature of LLMs poses a further challenge. It is often not fully understandable how these models arrive at their results, which can affect confidence in the technology. Special approaches to verification and validation are therefore required.<\/p>\n<\/div>