Unlock the Future With 6th Generation Data Infrastructure
Sarfraz Nawaz on Leveraging AI for Enriching Data Quality and Standardization
In the rapidly evolving landscape of AI-driven business strategies, having a solid data strategy remains crucial. The success of a business hinges on its ability to have the right infrastructure, pertinent datasets, and a clear data life cycle. However, many tech leaders and CIOs face challenges in developing effective data strategies, often due to silos in data science and engineering, leading to disjointed strategies and redundant investments.
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To counter this, a centralized data strategy is imperative. Infrastructure trends highlight the shift toward the sixth generation of data architecture, which prioritizes on quickly obtaining insights while maintaining business context amid data ingestion, said Sarfraz Nawaz, product executive in residence at Might Capital and former director of digital and data science, Johnson & Johnson. The rise of chief data officer roles, he added, underscores the need for focused attention on data strategy and subsequent AI initiatives.
"A structured data strategy comprises two essential components: technological infrastructure and governance, and effective leadership," Nawaz said. "While technologies such as data warehousing and data lakes provide standardized data layers, governance and leadership remain critical."
In this video interview with Information Security Media Group, Nawaz also discussed:
- The importance of having a structured data strategy;
- Use of AI and generative AI in augmenting data quality;
- Key pillars of the sixth generation data infrastructure.
Nawaz is a product leader and operator with 15 years of experience in data and product management. He creates innovative solutions across search, marketing tech, mobility, fintech and healthcare.
