Reasons why AI projects fail

Artificial intelligence is revolutionizing industry – but reality shows that many AI projects fail to realize their potential.

Artificial intelligence (AI) offers enormous potential for efficiency and innovation. But many AI projects fail. Often, the reason lies not in the technology itself, but in the foundation: insufficient data quality, lack of robustness and inadequate processes for training and testing AI systems.

Andreas Gruber, Geschäftsführer TRUSTIFAI, das KI-Joint Venture des TÜV AUSTRIA und SCCH:

Clarity in the world of data

With theTRUSTED AI approach, TÜV AUSTRIA has developed a best practice process that enables companies to set up AI projects correctly from the outset and implement them successfully.“With TRUSTED AI, companies ensure clarity in the world of data and raise the reliability of their AI systems to a new level,” explains Andreas Gruber, Managing Director of the joint venture TRUSTIFAI(TÜV AUSTRIA – Software Competence Center Hagenberg ):“TRUSTED AI means: less risk, more security and a significantly higher success rate when implementing AI in mission-critical applications.”

Gaining a competitive edge with trusted AI

According to Gruber, there is still reluctance to use AI in sensitive areas, not least because of the requirements of the EU AI Act. Yet the potential in this area is enormous.“Companies that act early and use AI beyond simple applications such as text generation or image processing will secure a decisive competitive advantage.” With TRUSTED AI, TÜV AUSTRIA helps companies develop AI solutions that meet regulatory requirements while being reliable, robust and future-proof.”

TÜV AUSTRIA white paper on AI

TÜV AUSTRIA AI’s recently published white paper “Safe and Certifiable AI Systems: Concepts, Challenges and Lessons Learned” is available free of charge at en.tuvaustria.com

Find out more about TRUSTED AI from TÜV AUSTRIA

GERMAN tuvaustria.com/trusted-ai-by-tuev-austria/

ENGLISH en.tuvaustria.com/trusted-ai-by-tuev-austria/

The recently published TÜV AUSTRIA AI white paper “Safe and Certifiable AI Systems: Concepts, Challenges and Lessons Learned” is available free of charge on the TRUSTED AI website.