
Really Possible: AI Challenges
Overcoming AI obstacles
You want to put AI to work. What challenges might you face? Top industry leaders weigh in and give their advice:
- Education is critical. Your organization needs to understand what AI can and can’t do. Many organizations are dealing with assumptions and opinions rather than reality.
- If you wait for use cases to reveal themselves, you’ll be behind your competition. Make sustainable investments and take action to see how AI can work for you.
- You’ll likely encounter data hallucinations when using AI, but you can mitigate risk by involving human oversight in your processes. You get the power of generative AI with the benefits of supervised learning.
- Not every problem is a data or KPI problem. Organizations should also focus on culture, strategy, and making bold decisions. Ultimately, you should view AI as a tool to address business challenges, not a separate technology initiative.
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There are so many questions [about AI] in every dimension, but you only answer those questions by making investments and taking steps.
Ed Challis
Head Of AI Strategy, UiPath
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