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Scaling AI Initiatives Responsibly: The Critical Role of an Intelligent Data Infrastructure
Scaling AI workloads is a challenge — especially when data growth and compliance demands collide. This whitepaper from IDC details how businesses can navigate these complexities with smarter infrastructure strategies. Download the whitepaper to understand how to modernize data management while supporting innovation. When you're finished reading it, connect with Solutions For Success LLC to start planning your next move.
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What is the role of intelligent data infrastructure in AI initiatives?
An intelligent data infrastructure provides the flexibility to access any type of data, ensures active data management for security and governance, and optimizes performance and efficiency. This combination helps organizations maximize productivity and achieve better business outcomes as they scale their AI efforts.
What are the main challenges organizations face when scaling AI?
Organizations often struggle with cost, a lack of skills, limited access to high-quality datasets, and concerns regarding data security and privacy. These challenges can lead to longer delivery timelines and higher costs, hindering the scaling of AI initiatives.
How do AI maturity levels affect business outcomes?
Organizations classified as AI Masters experience a lower failure rate in their AI initiatives compared to AI Emergents. AI Masters achieve desired business outcomes more consistently and quickly, leveraging AI to enhance operational efficiency, innovate faster, and improve employee productivity.
Scaling AI Initiatives Responsibly: The Critical Role of an Intelligent Data Infrastructure
published by Solutions For Success LLC
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