5 Myths About Scaling AI Accenture

Perhaps you've embarked on a pilot program that applies technologies and techniques such as machine learning, natural language processing and computational intelligence to solve a specific business challenge. Over time, if the pilot yields solid results, you'll want to continue the initiative. The key is to determine what's next--how to expand the value--and that requires successfully scaling the AI effort. What does it mean to scale AI? Basically, it's extending an AI capability from an initial pilot program to the widest strategic scope and impact, bringing the most value to an organization. But at too many companies, AI initiatives hit major roadblocks after the proof of concept, even as executives recognize that scaling AI is a major priority.