Silver Bulletin

Who Really Owns GenAI’s Real Estate: Rubrik’s Resilience or IBM’s Intelligent Control?

Posted by: Rick Norgate

Rubrik’s CEO, Bipul Sinha’s assertion about owning the “most important real estate” in the GenAI space is intriguing, but does it signify unique innovation in AI data management? At Silverstring we think IBM’s strategy with WatsonX introduces a distinct comparison. Unlike public models like ChatGPT, which rely on vast data pools that may interact with external or anonymous data inputs, WatsonX focuses on securing and isolating data, keeping it exclusively within the enterprise’s control.

From a security standpoint, the implications are significant. With WatsonX, IBM enables companies to train and deploy AI without risking data exposure, appealing particularly to sectors with strict data privacy needs, such as finance, healthcare, and government. This is in stark contrast to public models like ChatGPT, which, while highly versatile and powerful, operate on large, shared data environments. These public models might not fit organisations prioritising data sovereignty or industries subject to stringent compliance requirements.

So, how does Rubrik fit into this landscape? Sinha’s focus on cyber resilience aligns with the need for AI-ready, secure data. Rubrik’s model assures that data driving AI systems remains uncompromised, a critical need given the rising tide of cyber threats. However, IBM’s combination of security (Quantum Safe encryption), data control, and intelligence through WatsonX appears to go a step further. IBM’s strategy doesn’t just protect data; it enhances its usability and integration into AI frameworks, allowing enterprises to drive insights safely while keeping data strictly under their control.

The question then is whether resilience alone, as Rubrik champions, will be enough to lead in the GenAI space or if a secure, intelligence-focused, and privacy-assured framework, like IBM’s WatsonX, will ultimately set the benchmark. For organisations deciding on AI partnerships, the choice may boil down to how they weigh data sovereignty, security, and the depth of AI insights they hope to achieve.

Posted by: Rick Norgate on October 30, 2024

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