Human Centered AI for the Enterprise

As AI initiatives gain momentum within organizations, the challenge of operationalizing and managing these models at scale becomes increasingly complex. Data and analytics initiatives are already challenged by organizational silos,
difficult-to-use tools, cost-performance tradeoffs and risk. Now, in addition, there are intelligent, learning, changing models that need to be optimized, evaluated for risks, managed, monitored for drift, and when needed, retrained and redeployed. This requires enterprises to amplify the knowledge, experiences and decision-making power of people in the organization, build trust, transparency, and accountability of AI to drive adoption at scale, and deliver AI in a responsible way, reducing the cost, environmental impact and risk of running AI systems. A human-centered approach designed to address these issues can unleash the full potential of AI in the enterprise.