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.
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.