Organisations across the enterprise are racing to adopt AI, motivated by cost savings, efficiency gains and a need to answer boardroom appetite.

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But several steps into this journey, the vast majority find data blocking their path.

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The absence of strong data foundation creates risks with model performance, costs and inaccuracies – all slowing adoption and preventing scale.

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Mesh-AI’s new Managing Director of Engineering, Steve Bryen, gives his advice for businesses who want to:

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• Implement reliable and robust data infrastructure
• Solve key challenges around the quality, access and skills needed to harness data
• Chart a path towards AI innovation at scale.

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For any business leaders who want to unlock long-term value beyond cost savings – transforming customer experiences, risk management, and operational efficiency – understand what it takes to catalyse your AI adoption.

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