The rise of generative AI presents organizations with the opportunity to utilize existing, indexed, and quality-controlled backup data, rather than only considering new AI models.
Leveraging pre-existing backup data can unlock significant business value from AI initiatives, suggesting that backup systems could play a crucial role in future AI developments.
This panel discussion emphasizes that organizations can diversify their AI strategies by exploring backup data, making it a critical asset for AI projects.
Understanding AI concepts like LLMs and RAG will be key for IT leaders who want to effectively implement AI solutions utilizing backup data.
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