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DTSTART;TZID=America/Chicago:20261112T093000
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DTSTAMP:20261011T210636Z
CREATED:20261011T210636Z
LAST-MODIFIED:20261011T210636Z
UID:63985-1794475800-1794513600@laurapatterson.co
SUMMARY:CyberTalks 2026
DESCRIPTION:The AI Value Equation: From Strategy to Measurable Business Results  \nAbstract: \nAI is moving fast. Companies are trying tools\, running pilots\, and finding new ways to use them. The harder question is what those efforts are actually producing. An AI initiative can have plenty of users and still fail to improve a customer experience\, save meaningful time\, reduce risk\, increase revenue\, or improve a business decision. Activity tells us that something is happening. It doesn’t necessarily tell us whether the investment is working. \n  \nWe’ll start with the business problem or opportunity\, not the technology. From there\, we’ll look at the outcome that needs to change\, how to measure that change\, and whether the organization can execute well enough to produce the expected result. Laura will also walk through a simple way to decide what happens next with an AI initiative. Some investments should be scaled. Some need to be refined. And some should be stopped. \n  \nKEY TAKEAWAYS \n\nHow to identify AI opportunities based on the difference they could make for customers and the business\nHow to define what success looks like before investing further\nHow to separate AI activity and adoption measures from measures that show actual business value\nHow to connect an AI investment to the change it is expected to produce\nHow to use the AI Value Equation to evaluate strategic relevance\, customer and business impact\, and execution confidence\nHow to use evidence to decide whether to Scale\, Refine\, or Stop\n\nA practical roadmap for moving from AI experimentation to measurable\, sustainable business value
URL:https://laurapatterson.co/event/cybertalks-2026/
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