Accenture AI Leaders Podcast
AI Leaders Podcast #1: Data Driven Transformation
Nov 3, 2020
Dr. Amy Gershkoff Bolles, Chief Data Officer of Bitly, dives into the world of data-driven transformation. She addresses the difference between hype and reality in data initiatives. Organizations must prioritize data fluency and define clear goals to leverage data effectively. Bolles emphasizes the need for hiring talent with both technical skills and business acumen. Leadership’s role is critical, especially in adapting to consumer behavior shifts. Collaboration and accountability are vital for ethical AI practices, ensuring diverse stakeholders work together to navigate these changes.
26:01
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Quick takeaways
- Clarity of purpose in data-driven transformation is vital for aligning organizational goals like revenue growth or customer experience.
- Hiring talent with both technical skills and business acumen is essential for effective execution of data-driven transformation initiatives.
Deep dives
Defining Goals for Data-Driven Transformation
Clarity of purpose is crucial for any organization embarking on a data-driven transformation journey. It is essential to identify specific goals such as increasing revenue, lowering costs, or enhancing customer experience, rather than getting lost in the hype surrounding digital transformation. This focused approach allows organizations to align their data functions appropriately within the organization to drive the desired outcomes. For instance, a company focused on revenue growth would benefit from situating its data team in a way that fosters innovative thinking rather than aligning it with cost-cutting measures.
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