A critical law that helps the federal government guard against cyberthreats to U.S. critical systems recently expired as the government shut down in October. The Cybersecurity Information Sharing Act (CISA) has been a core foundation of the nation's cyberdefenses since it was signed into law in 2015.
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Data drives everything, and businesses must prepare their data to fully leverage technologies, including generative AI (GenAI), cloud computing, and advanced applications. Archiving is a key strategy in this process, ensuring data is clean, accessible, optimized, and cost-efficient. By consolidating and archiving inactive or redundant data, companies can create the high-quality datasets that are essential for training GenAI models and achieving reliable outcomes.
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The real-time revolution for enterprises has been underway for more than a decade, characterized by the gathering, processing, and delivering of near real-time (within hours) capabilities all the way to more instantaneous movement of data within seconds or subseconds.
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The claim that "AI projects are failing" has become a familiar headline—and a valid one. But while the failure rate may be high, it's not necessarily cause for alarm. In fact, understanding why these initiatives fall short is key to making them succeed.
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