Key Points
- Brutkasten has published a new report focusing on the practical application of artificial intelligence in businesses.
- The report contains insights from seven different expert discussions in the second season of the series.
- The study was prepared with contributions from ACP, EY, ITSV, KEBA Group, Lenovo, Microsoft, and Graz Üniversitesi.
- It focuses on data quality, IT security, and cost management in corporate artificial intelligence integration.
By the Numbers
While developments in the field of artificial intelligence continue without slowing down, considering the investments, it seems that the peak of the hype has not yet been reached. However, this rapid pace makes it a significant challenge for established companies to put the technology into operation. This process is not limited to technological issues only, but directly affects broader areas such as corporate culture and operational infrastructure.
Established Austrian media company brutkasten has published a new report (whitepaper) that compiles the findings obtained from the second season of its series called "No Hype KI". This comprehensive study, supported by leading technology companies such as Microsoft and Lenovo, addresses how businesses can successfully implement their AI projects with practical examples.
The new report guides companies on critical topics such as data quality, cost control, digital sovereignty, and risk management. In addition, the transformation in software development processes and the future of autonomous assistants are among the topics covered in the document.
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Frequently Asked Questions
- What is the main purpose of the "No Hype KI" report?
- The report aims to show with practical examples how companies can successfully implement and scale their artificial intelligence projects without exaggeration.
- What are the main topics covered within the scope of the report?
- Strategic and operational topics such as data quality, cost control, digital sovereignty, risk management, IT security, and the future of autonomous assistants are addressed in the report.
- What is the main challenge companies face in artificial intelligence integration?
- In addition to the technological infrastructure, companies need to ensure cultural transformation, guarantee appropriate data quality, and manage costs and risks correctly.
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