Enterprises are struggling to scale their artificial intelligence (AI) projects. This is because they often start with small-scale experiments that fail to deliver the expected results. To overcome this challenge, companies need to establish trust in AI systems, implement governance structures, design workflows that integrate AI effectively, and ensure the quality of AI outputs at scale. --- Why it matters: This matters to AI engineers and researchers because it highlights the complexities of deploying AI in real-world settings, where scalability is crucial for business success. Understanding how enterprises are addressing these challenges can inform the development of more practical and effective AI solutions. Source: https://openai.com/business/guides-and-resources/how-enterprises-are-scaling-ai