The Office of Insurance Commission (OIC), Thailand's insurance regulatory authority, has modernised its data infrastructure with NetApp, posturing it to deploy AI-powered solutions and enhance cybersecurity.
Somkiat Wattanaprasobsuk, assistant secretary-general for Information Technology at the Office of Insurance Commission, Thailand, said: "The NetApp data platform has allowed our IT departments to focus more on developing innovations—such as our Open Insurance Ecosystem and AI Governance Guidelines—and less time worrying about regular maintenance and managing crashes."
NetApp data platform
The NetApp data platform aims to address key IT challenges that delay data processing for governance and increase business risk from slow core system recovery.
It claims to provide:
- Accelerated data protection and recovery: NetApp ONTAP and Snapshot technology reduced the time required to back up large, mission-critical databases by over 90 per cent.
- Faster access and responsive efficiency: Provides significantly faster access to, and processing of, data in core applications.
- Cost management and scalability: NetApp's deduplication and compression technology significantly reduced the consumption of storage space
- Efficient hybrid cloud data network: NetApp's storage solutions helped integrate and simplify the OIC's data network by connecting legacy on-prem systems with multiple cloud providers.
- Improved Cyber Resilience: NetApp's immutable backups, autonomous ransomware protection, and SnapLock technology ensure that the OIC's backups are tamper-resistant, enabling rapid recovery and containment in the event of a breach.
Unnop Wadithee, country manager, NetApp Thailand, said: "Through this partnership, NetApp is happy to help the OIC accelerate innovative progress and improve their data operations and efficiency, to support the development and growth of the Thai insurance industry. The NetApp data platform is purpose-built to provide the cyber resilience and consistent data governance that they need across hybrid cloud workloads."
