In this episode of 'The Low Down on Low-Code', Rick Greenwald, John Rymer, Tony Baer, and Matthew Housley discuss the intricate relationship between developers and data management, the impact of AI on data practices, and the importance of data governance. They explore the tensions between speed and quality in software development, the need for collaboration through fusion teams, and the challenges posed by AI in data management. The conversation emphasizes the necessity of understanding data quality, security risks, and the future of data architecture in an increasingly AI-driven landscape.
Takeaways
- Developers often prioritize speed over data quality.
- Data governance is essential for ensuring data correctness.
- AI can significantly impact data management practices.
- Collaboration between developers and data professionals is crucial.
- Understanding data context is vital for effective governance.
- Security risks are heightened with the use of AI and agents.
- Fusion teams can help bridge the gap between business and tech.
- Data quality issues can lead to significant business risks.
- Training on data risks is often lacking in the industry.
- Starting simple with AI and orchestration is a best practice.