Artificial Intelligence (AI) and Machine Learning (ML) are profoundly transforming how organizations engage with stakeholders. Across many industries, high value transformative use cases are rapidly emerging. The economic impact of AI/ML is immense with an estimated $13 trillion added to the global economy over the next decade.
However, deploying and scaling AI/ML across the enterprise requires implementing complex, iterative workflows from data to models to outcomes. This is not easy. In fact, currently only 35% of organizations indicate that analytical models are deployed in production. In addition, as the number of AI/ML projects and models multiply, production ML can be slow, cumbersome and fraught with “false starts” that make it even more difficult and expensive.
What’s needed is an open, unified, collaborative, secure and governed enterprise-grade environment to run and manage all AI/ML models with transparency, consistency, trust and high-performance.
Cloudera, the Enterprise Data Cloud Company, delivers a platform that helps you overcome key production AI/ML challenges: monitoring, deployment, security, governance, scalability and infrastructure. Cloudera Machine learning (CML) is the only end-to-end ML platform that enables standards-driven model and feature monitoring, cataloging, and ongoing governance at enterprise scale.
Learn how you can overcome your production ML challenges with a flexible open unified data platform that delivers faster time to value for production AI/ML for your enterprise.
