Discover how CorSource’s bimodal approach helps achieve both speed and data quality by turning fast innovation into scalable, reusable data assets.
Key takeaways from this episode include:
- Tackles one of the most persistent challenges in data strategy: balancing quality with speed.
- Discusses how a pragmatic, bimodal approach allows companies to innovate quickly while building toward long-term reliability.
- Dives into how early “garage” environments encourage experimentation and fast iteration.
- Expands into “Factory” mode that ensures proven data assets are refined for scale, stability, and reuse.
- Highlights how to create a framework for continuous improvement and accelerated business value.
View Episode 1: https://blog.corsource.com/ai-and-data-trends-the-ai-frenzy
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