Scaling AI in Business Operations: Measuring Business Impact

Scaling AI in Business Operations: Measuring Business Impact
.MP4, AVC, 1920x1080, 30 fps | English, AAC, 2 Ch | 32m | 294 MB
Instructor: Alexander Tushinsky
What you'll learn
AI usage metrics can look impressive while failing to answer the fundamental question of whether the business actually improved or became more productive. In this course, Scaling AI in Business Operations: Measuring Business Impact, you'll gain an understanding of how to measure the impact of scaled AI through workflow outcomes, quality, efficiency, and ROI.
First, we will explore how to move beyond vanity metrics such as active users, prompts submitted, and hours saved by focusing on enterprise KPIs that reflect how the work actually changed. Next, we'll look at how to monitor AI-assisted workflows over time to ensure quality isn't degrading and the system is still working as intended. Finally, we'll examine how to use measurement to identify where bottlenecks have moved, where AI is creating real value, and where the organization should focus next.
When you're finished with this course, you'll have the skills and knowledge needed to measure AI implementations in a way that proves business impact instead of just reporting AI activity.
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