The economics of AI: Why scalability isn’t simply a matter of more use cases
Most organizations adopting enterprise AI start out with a finite list of select use cases, balancing between difficulty in execution vs. potential impact. But as more and more use cases are added, the economics of leveraging data science and machine learning becomes a challenge — and revenue gains stagnate.
Learn how to identify hidden costs in your enterprise AI projects, maintain your core AI initiatives, and keep your revenue gains growing at scale when you download this free white paper.
You’ll learn about:
- The intangible cost of maintaining AI projects
- Managing your enterprise AI costs through capitalization and reuse
- How to grow your enterprise AI strategy at scale
