NetApp's 2024 Data Complexity Report Reveals AI's Make or Break Year Ahead

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NetApp's 2024 Data Complexity Report Reveals AI's Make or Break Year Ahead

NetApp's 2024 Data Complexity Report emphasizes that 2025 will be a crucial year for AI as organizations shift from experimentation to scaling their AI capabilities. The report reveals that while two-thirds of companies have optimized their data for AI, significant investments in data management will be necessary to overcome challenges related to complexity, security, and sustainability. Intelligent data infrastructure is identified as essential for unlocking AI's full potential.

The report also highlights the importance of data unification, with 79% of tech executives recognizing it as vital for achieving optimal AI outcomes. As security threats are expected to rise alongside AI adoption, organizations must prioritize cybersecurity measures to protect their data and AI models. Furthermore, the environmental impact of AI adoption raises concerns, necessitating a balance between innovation and sustainability.

• 2025 is projected as a defining year for AI capabilities.

• Data unification is critical for achieving optimal AI outcomes.

Key AI Terms Mentioned in this Article

Data Unification

Data unification connects data across various environments, enhancing accessibility for AI applications.

Data Complexity

Data complexity refers to the challenges organizations face in managing and optimizing data for AI.

Cybersecurity

Cybersecurity involves protecting data and AI models from increasing security threats associated with AI adoption.

Companies Mentioned in this Article

NetApp

NetApp specializes in intelligent data infrastructure, crucial for managing data complexity in AI.

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