Operationalizing AI: Clarifai's Comprehensive Guide
While organizations are sprinting to figure out how they can harness the power of AI, few have been able to operationalize AI development to meet enterprise scale needs. The result is that many AI projects sit in prototype and fail to launch into production, and organizations face growing AI sprawl. With a shortage of AI expertise, and lack of centralized AI operations and governance, organizations face increased risk around data access and downtime, inconsistent outputs, and poor customer experiences. AI sprawl can also drive increased costs from duplicative licenses, unused technologies, redundant workloads, and compute-intensive projects.
Download this white paper to learn the principles of an AI operating model needed to drive effective adoption of AI technologies and ensure that organizations can optimize for value while managing risk effectively.
