Puspanjali
Sarma
Senior Manager - Data and AI at ServiceNow
"Why data strategy is important in AI innovation"
"Why data strategy is important in AI innovation"
24 - 6:30 AM EDT/New York (See in local time)
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05/24/2025 6:30 AM
05/24/2025 06:50 AM
America/New_York
#WTGC2025
"Why data strategy is important in AI innovation"
#WTGC2025
"Why data strategy is important in AI innovation"
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"Why data strategy is important in AI innovation"
"Why data strategy is important in AI innovation"
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Session: Why data strategy is important in AI innovation
Data strategy is paramount in the realm of AI innovation as it serves as the foundational blueprint that guides the collection, management, and utilization of data to drive intelligent systems. An effective data strategy ensures that the right data is collected, cleansed, and made accessible, thus fostering accurate and reliable AI model training. It enables organizations to make informed decisions, optimize processes, and create innovative AI applications. A well-crafted data strategy addresses ethical considerations, privacy concerns, and regulatory requirements, ensuring responsible and sustainable AI development. Ultimately, a robust data strategy paves the way for successful AI innovation by harnessing the power of data as the lifeblood of intelligent technologies.Key Takeaways
- Foundation for Informed Decision-Making: A well-defined data strategy forms the foundation for AI innovation. It guides how data is collected, stored, processed, and analyzed, enabling informed decision-making at the executive level.
- Resource Optimization: A strategic approach to data prevents resource wastage by focusing efforts on collecting and utilizing the most relevant and valuable data. This efficiency leads to cost savings and increased ROI.
- Innovation Agility: A dynamic data strategy allows the organization to adapt to changing technological landscapes and evolving business needs. It ensures that AI initiatives remain relevant and effective over time.
- Customer-Centric Solutions: By understanding customer behavior through data analysis, AI innovations can be tailored to meet customer needs more effectively, driving customer satisfaction and loyalty.
- Competitive Edge: Organizations that leverage data effectively for AI gain a competitive advantage by making informed predictions, optimizing operations, and offering unique products or services.
Bio
Puspanjali Sarma is an innovative seasoned Technology Leader with 14+ years of experience in leading digital transformation initiatives and providing analytics consulting to design data strategies for solving complex business problems through a blend of Machine Learning, Artificial Intelligence and Data Analytics at both Fortune 500 and start-up organizations in domestic and global markets.Currently, as Senior Manager -AI Platform and Solutions at ServiceNow, I lead AI team in creating AI-based products leveraging Data, and Artificial Intelligence capabilities.
