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Data Science & AI: Getting Buy-In and Demonstrating ROI | PagerDuty’s Sanghamitra Goswami

Dev Interrupted

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Pillars of Successful AI Implementation

Implementing AI within a company involves challenges as AI and data science are experimental in nature. One key challenge is measuring the success of AI initiatives by determining the ROI. Leaders need to be cautious about the risks involved in running AI experiments and focus on measuring adoption and how users utilize the results. By establishing these two pillars - risk awareness and adoption measurement - leaders can effectively measure value and ROI when implementing AI within a company.

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