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Matthew Fitzpatrick, CEO of Invisible Technologies – Interview Series
- Matthew Fitzpatrick is the CEO of Invisible Technologies, focusing on designing and optimizing end-to-end business solutions.
- Invisible Technologies specializes in blending advanced technology with human expertise for efficient scaling in various business operations.
- Matthew transitioned from leading QuantumBlack Labs at McKinsey to CEO of Invisible Technologies to operationalize AI at scale.
- Lessons from McKinsey include the importance of organizational transformation and transitioning from experimentation to production in AI adoption.
- Enterprises achieving ROI with AI align use cases with core business KPIs, invest in data quality, and move to tailored solutions.
- Demand is rising for domain-specific data labeling as foundation model providers venture into complex verticals.
- Agentic AI, emphasizing decision-making in workflows, shows promise in high-volume, complex tasks like customer support and claims processing.
- Invisible trains models for chain-of-thought reasoning to enhance transparency, debugging, and performance gains in enterprise AI.
- Cultural and linguistic precision are crucial in building globally scalable AI to avoid misinterpretations and compliance risks.
- Invisible helps companies navigate the 'last mile' from proof of concept to production by offering technical expertise and data infrastructure.
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