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#250 How Data and AI are Changing Data Management with Jamie Lerner, CEO, President & Chairman at Quantum
DataFramed
Optimize Data Storage, Save Costs
Implementing automated data management policies allows organizations to significantly reduce costs by adjusting the storage approach based on the frequency of data access. By cooling down data that has not been accessed for an extended period and archiving it in more economical storage, businesses can maintain access to their data while minimizing expenses. This approach prioritizes affordability, enabling organizations to store billions of files without the burden of high-cost storage solutions. Companies are increasingly shifting from a data disposal mindset to a 'keep everything' strategy, necessitating a transformation in their data architecture. The rise of artificial intelligence further complicates data management, as organizations feel compelled to retain all data for potential future use. Cost-effective storage, rather than expensive high-speed options, becomes essential to manage this demand sustainably.
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