The article also highlights four main uses of data ecosystems: saving money, creating new lines of business, predictive modeling, and accelerating R&D. Additionally, the author emphasizes the emerging use case of building AI models on top of data ecosystems, which can provide unique competitive advantages and add urgency to data ecosystems.
Key takeaways:
- Data ecosystems enable safe access to data from diverse origins, allowing organizations to access, apply, and monetize data from within and outside of their firewall.
- Four main uses of data ecosystems include saving money through operational efficiency, creating new lines of business such as data marketplaces, predictive modeling for better decision-making, and accelerating R&D.
- AI is emerging as a fifth use case for data ecosystems, with the potential to provide unique competitive advantages.
- Despite the benefits, few organizations have successfully implemented data ecosystems, highlighting a need for better understanding and utilization of these systems.