Creating value from GenAI in the enterprise (w/ Nisha Paliwal)
Sep 22, 2024
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In this engaging discussion, Nisha Paliwal, who leads enterprise data tech at Capital One and co-authored "Secrets of AI Value Creation," explores the vital role of strong data cultures in companies. She emphasizes early tech exposure for children—especially girls—urging the need for education in data privacy. Nisha highlights how financial institutions are reshaping their strategies towards data-centric models and stresses the importance of a clear AI strategy, along with innovative concepts like self-healing data systems for future sustainability.
Early coding education is vital for fostering a tech-savvy culture, enabling children to explore technology and encourage future leadership.
Capital One's strong data-centric culture, rooted in empirical evidence, emphasizes the integral role of data-driven decision-making across all organizational levels.
Deep dives
Inspiring Young Minds in Technology
Encouraging interest in coding from an early age is a vital focus for data leaders. Emphasizing the importance of starting education in tech as young as five, the discussion highlights the experience of a parent actively involving their child in the tech world through programs like 'Bring Your Daughters to Work.' Initiatives such as Girls in Tech aim to create pathways for young girls to explore technology, fostering a sense of curiosity and possibility. As children grow, it's crucial for parents to provide opportunities and guidance, ensuring they can navigate technological landscapes effectively.
Data as a Core Value in Organizations
Data-driven decision-making is deeply embedded in the culture at Capital One, where every strategy conversation is informed by empirical evidence. The origins of this data-centric approach can be traced back to the company's inception and its pioneering of credit card practices, which focus intensely on customer segmentation through data. This approach cultivates an organizational environment where risk management is everyone's responsibility, allowing Capital One to excel in the financial services sector. The emphasis on data ensures that all employees, regardless of their role, understand and value its importance in driving company strategy.
Navigating AI in Business Strategy
Developing a sound AI strategy is essential for organizations seeking to leverage its potential effectively. A structured framework encompassing vision, strategy, architecture, and execution can guide leaders in understanding where and how to implement AI within their operations. Common pitfalls include rushing into execution without a clear vision, which often leads to unclear ROI and diminished trust in the technology. The discussion stresses the importance of aligning technological investments with business goals to foster successful AI adoption in various industries.
Future Considerations for Data and AI
Looking ahead, there is a growing anticipation for advancements that allow data to manage itself efficiently. The conversation brings up the challenge of the considerable resources currently required to maintain data integrity and highlights the urgent need for sustainable technology solutions. Exploring innovative methods, such as leveraging neuromorphic computing and alternative storage solutions, could pave the way toward more efficient data management practices. The dialogue positions this exploration as a collective responsibility to create a viable future for upcoming generations within the tech landscape.
Nisha Paliwal, who leads enterprise data tech at Capital One, joins Tristan to discuss building a strong data culture for in the world of AI. She is the co-author of the book Secrets of AI Value Creation.
For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com.
The Analytics Engineering Podcast is sponsored by dbt Labs.
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