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Most enterprises aren’t struggling with AI because of technology. They’re struggling because they’re trying to scale pilots instead of platforms.
In this episode of Technovation, Peter High speaks with Atilla Tinic, CIO of Qualcomm, about how the company is moving beyond one-off AI use cases to build an enterprise AI platform designed for scale. Tinic explains why unified and validated data is essential for AI accuracy, how Qualcomm enables developers and business teams through a centralized AI marketplace, and why security must be embedded into AI architecture from day one.
Key topics include:
By Metis Strategy4.8
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Most enterprises aren’t struggling with AI because of technology. They’re struggling because they’re trying to scale pilots instead of platforms.
In this episode of Technovation, Peter High speaks with Atilla Tinic, CIO of Qualcomm, about how the company is moving beyond one-off AI use cases to build an enterprise AI platform designed for scale. Tinic explains why unified and validated data is essential for AI accuracy, how Qualcomm enables developers and business teams through a centralized AI marketplace, and why security must be embedded into AI architecture from day one.
Key topics include:

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