Archive · 26 Jul 2026
AI Success Depends on Trusted Enterprise Data
Sandeep Bhambure from Veeam Software talks about how important it is for companies to have good data to make AI work well.
He says that ransomware attacks are becoming more common, and companies need to protect their data better.
He explains that AI needs clean and well-managed data to work properly.
Veeam is helping companies in India do this by providing backup and recovery services.
He also talks about how new laws are making companies pay more attention to data protection and privacy.
In the future, trusted data will be very important for AI to succeed.
Ransomware threats are reshaping enterprise data protection priorities in India.
BFSI and healthcare lead demand for data resilience solutions, with growing interest in aviation, manufacturing, and the public sector.
Veeam adapts its strategy to meet India's evolving enterprise data resilience needs with a 100% channel-led approach.
AI changes backup, recovery, and data management strategies by requiring clean, contextual, and well-governed data.
India's data protection and localisation landscape influences enterprise decisions, encouraging a holistic approach to compliance.
- Who
- Sandeep Bhambure, MD & VP, India & SAARC, Veeam Software
- What
- The importance of trusted data for AI success and the evolving priorities in enterprise data management.
- When
- The interview discusses current and future trends in data resilience.
- Where
- India and SAARC region.
- Why
- To highlight the shifting priorities in enterprise data management and the need for cyber resilience.
Proactive Data Protection
Reactive Data Protection
Data Protection Strategy
Proactive Data Protection
Enterprises should implement immutable backups, clean-room recovery, and the 3-2-1-1-0 strategy to strengthen cyber resilience against ransomware threats.
Reactive Data Protection
Enterprises should focus on traditional backup strategies and react to ransomware threats as they occur.
- Ransomware Attacks
- 75% of organizations experienced at least one attack in the past year.
- Data Protection Strategy
- 3-2-1-1-0 strategy: multiple data copies, offline or immutable storage, and regular testing.
- Key Industries
- BFSI, healthcare, aviation, manufacturing, and the public sector.
- Veeam's Strategy
- 100% channel-led strategy, cloud-based backup, disaster recovery services, and investment in partner ecosystem.
- AI Impact
- AI requires clean, contextual, and well-governed data for reliable outcomes.
- Data Protection Act
- DPDP Act encourages organizations to strengthen governance and privacy.
- Future Trends
- AI trust, cyber resilience, and regulatory readiness will shape the future of data resilience.