Course Overview:

Duration: 30 min

Building the Infrastructure for the AI Workforce

AI is moving fast - shifting from copilots that assist us to autonomous collaborators that can think, act, and improve on their own. This transition is bigger than a simple technology upgrade; it marks the beginning of a true AI workforce, powered by a new software infrastructure built natively for autonomy.

To make this future a reality, we must rethink how core pillars intersect to create systems that are not just intelligent, but reliable and self-evolving:

- Data & Reasoning: Moving beyond static retrieval to dynamic understanding.

- Orchestration: Managing complex, multi-step autonomous workflows.

- Trust & Safety: Ensuring reliability, predictability, and guardrails for independent agents.

From Intelligence to Autonomy - Building the Infrastructure for the AI Workforce

Instructor:

Lake Dai

Founder | AI Professor at Sancus Ventures | CMU

Lake Dai is a globally recognized expert in AI innovation, investment, and governance, named among the 100 Women in AI and BoardProspects’ Top AI Talent in the Boardroom. She is the Founder and Managing Partner of Sancus Ventures, a top-performing, mission-driven seed fund backing AI-native and software infrastructure startups. Since 2016, Lake has served as an Adjunct Professor at Carnegie Mellon University teaching Applied AI and AI Governance. A trusted advisor, she has trained institutions like the UK Parliament, the State of California, and Fortune 500 companies, and is co-authoring an AI Governance Framework with Harvard Business School.
Lake Dai Founder | AI Professor at Sancus Ventures | CMU

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