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Artificial Intelligence is the hottest topic of discussion for virtually every organization performing long-term strategic planning. Further, it’s a topic that spans the organization from operating units to marketing to IT. While “discriminative” AI, such as image recognition, has been delivering real value to organizations for several years, the excitement about generative AI’s potential to drive productivity is finding increasing interest across organizations of all types and sizes.
But how do organizations determine the relevance and utility of the raw information that feeds the AI data pipeline? The need for a comprehensive information lifecycle strategy is a critical first step.
Tune in to this podcast with Moor Insights & Strategy CEO and Chief Analyst Patrick Moorhead and VP & Principal Analyst Matt Kimball as they discuss these challenges and how companies like Iron Mountain are delivering solutions.
Artificial Intelligence is the hottest topic of discussion for virtually every organization performing long-term strategic planning. Further, it’s a topic that spans the organization from operating units to marketing to IT. While “discriminative” AI, such as image recognition, has been delivering real value to organizations for several years, the excitement about generative AI’s potential to drive productivity is finding increasing interest across organizations of all types and sizes.
But how do organizations determine the relevance and utility of the raw information that feeds the AI data pipeline? The need for a comprehensive information lifecycle strategy is a critical first step.
Tune in to this podcast with Moor Insights & Strategy CEO and Chief Analyst Patrick Moorhead and VP & Principal Analyst Matt Kimball as they discuss these challenges and how companies like Iron Mountain are delivering solutions.
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