Part 8/12:
- Support and Maintenance: Automated ticket understanding, log analysis, predictive monitoring, and cost optimization will be powered by AI, enabling proactive and efficient support systems.
In the data pipeline specifically, AI accelerates:
Data modeling
Source-target mapping automation
Code migration via transpilation
Synthetic test data generation
Governance and compliance enforcement through intelligent metadata and lineage management
Paradigm Shifts and Lessons from Tech History
Historically, technology shifts have driven waves of change:
Y2K and Offshoring: Transition from legacy mainframes to ERP and RDBMS.
Cloud Adoption: Enabled new online and e-commerce models, leading to the decline of on-premise client-server applications.