How to Launch Your AI Projects from Pilot to Production – and Ensure Success

This post is brought to you by NVIDIA and CIO. The views and opinions expressed herein are those of the author and do not necessarily represent the views and opinions of NVIDIA. CIOs seeking big wins in high business-impacting areas where there's significant room to improve performance should review their data science, machine learning (ML), and AI projects. A recent IDC report on AI projects in India[1] reported that 30-49% of AI projects failed for about one-third of organizations, and another study from Deloitte casts 50% of respondents' organizational performance in AI as starters or underachievers. That same study found 94% of respondents say AI is critical to success over the next five years. Executives see the AI opportunity for competitive differentiation and are looking for leaders to deliver successful outcomes.