IDC predicts by 2025, the cloud will surpass on-premises infrastructure as the primary location where operational data is stored, managed, and analysed for 65% of A2000 organisations.

The rapid growth of data and the increasing complexity of managing it in the age of AI and hybrid cloud environments present significant challenges for organisations. As AI adoption accelerates, enterprises must rethink their data storage, management, and processing strategies to support performance-intensive workloads like generative AI.

Faced with mounting pressures to support growth and profitability, how should CIOs architect their IT strategy so that it is able to adapt to changing market conditions, nearly unpredictable technology innovations, and yet to be ironed out regulations around data privacy, security and ethical practices?

In this PodChats for FutureCIO, we are joined by Matthew Hardman, APAC chief technology officer for Hitachi Vantara, to share with us his views on crafting meaningful data strategies for the AI-native enterprise.

1. [Setting the scene] Where are Asian enterprises today around data management?

2. [Data management] How can we streamline data management processes to handle the increasing volume and complexity of data?

3. [Performance] How are enterprises addressing the need to minimise operational latency while improving data movement in hybrid cloud environments?

4. [Operations] What’s the right balance between on-premises infrastructure and cloud services?

5. [Security] How can CIOs ensure data security and compliance across different cloud environments? (multi-public and private plus edge)

6. [Compliance] Given the difference in national laws relating to data use, how should CIOs prioritize data governance across borders?

7. [Scalability vs sustainability] What data strategies can we adopt to balance the need for scalability with sustainability goals in our AI and cloud initiatives?

8. [The future] Given all the unpredictability that lies ahead, ahead suggestion for CIOs?