Data Science & AI: Getting Buy-In and Demonstrating ROI | PagerDuty’s Sanghamitra Goswami
Dev Interrupted
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Challenges and Importance of Leveraging AI in Products
This chapter explores the risks and benefits of incorporating AI into products, emphasizing the need for cautious experimentation, measuring adoption rates, and defining ROI. It discusses organizational hurdles in democratizing data, consolidating information from diverse sources, and stresses the importance of foundational data science principles like data validation and training data quality. Additionally, it highlights the significance of change management, aligning organizational goals, and gaining leadership support for successful implementation of data science and AI projects.
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