In the near future, data mesh will evolve further with clouds and artificial intelligence. AI-driven data architecture enhances automation in data processing by allowing organizations to ingest very high data volumes at much higher levels of accuracy and efficiency. Real-time data processing along with machine-learning capabilities will further enhance business intelligence. The competitive advantage will go to companies that apply data mesh principles coupled with the emerging technologies.
Thus, it is concluded that the mere adoption of data mesh is already a huge transformation in the perceptions of an organization regarding data management. Such organizations having suffered their share of challenges can now better handle data governance, encourage innovation, and address operational bottlenecks with a decentralized approach. From the insights provided by Rakesh Maltumkar, it is clear that organizations adopting this modern approach will be better able to cope with the myriad complexities associated with the digital era. Very soon, data will become the lifeblood of business intelligence, and the concept of data mesh will influence how enterprise data ecosystems evolve.
