Part 8/11:
The speaker discusses a transition from data projects built from scratch to productized services. These are pre-packaged solutions with reusable components that can be configured to meet specific enterprise needs quickly.
This approach enhances speed, reduces costs, and ensures consistency across deployments, ultimately enabling organizations to respond faster to market demands and internal challenges.
Addressing Sustainability and Social Responsibility through Data
An inspiring example centers on leveraging data and analytics to meet global sustainability goals outlined by the United Nations. Projects aimed at improving agricultural practices exemplify this trend—using technology to promote sustainable farming, reduce non-renewable energy use, and enhance food security.