Artificial intelligence (AI) is dominating conversations across industries, particularly in discussions about its societal impact and practical applications. In the realm of backup and recovery, two key questions emerge:
- How much AI-generated data needs to be protected?
As businesses adopt AI more widely, the volume of valuable data increases. It's essential to identify which AI-generated data sets are mission-critical and prioritize protection accordingly. - How will backup and recovery evolve to leverage AI?
Some solutions already use AI and machine learning (ML), but interest is growing in deeper integration for smarter, more autonomous data protection—especially as cyber threats continue to drive data loss. The rise of generative AI may also cause a surge in data that requires backing up, adding urgency to these innovations.
To explore how organizations are responding, TechTarget’s Enterprise Strategy Group surveyed 375 IT and data professionals responsible for data protection and data science decisions within their companies. Download the pdf to learn more.
