How do you ensure that Artificial Intelligence (AI) results are free of errors or with minimal errors?
Use AI decision-making tools with defined algorithms that automate micro-decisions, particularly for real-time and higher-volume decisions.35%
Ensure model reliability, trustworthiness, security, and privacy.51%
Combination of technical and managerial approaches4%
All of the above10%
I agree with you and one of my discussion was:
How has the pharmaceutical industry been affected by the integration of artificial intelligence (AI) into research and development (R&D)? | Gartner Peer Community
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Yes87%
No12%
Little effort to identify what services are consuming what resources16%
Little effort to understand pricing tiers of resources41%
Little effort to update surrounding components (e.g., networking) when migrating an existing on-premise service to the cloud33%
Little effort to migrate workloads between environments (e.g., on-premise to public cloud) when trying to save on infrastructure/service costs8%
Little impact to success of application performance based on license limitations0%
It is challenging to produce 100% error-free results using AI-generated content in general. Even with the most modern technologies and processes, there is still the possibility of human error or other unforeseen events leading to errors. However, AI-generated material can be extremely beneficial in a variety of domains, including natural language processing, image identification, and predictive analytics.