Managing Multiple AI Models and Providers: Standards, Switching Costs and Vendor Risk

As teams adopt different models across platforms and use cases, individual buying decisions can create hidden dependencies, duplicated controls and rising costs. Join senior data and AI leaders to compare how they manage provider portfolios and maintain the ability to switch without major disruption.

Discussion questions:

• How do organisations decide which model and provider choices require enterprise standards and where teams should retain autonomy?
• What criteria are used to approve new providers, and how do these vary by use case?
• How are switching costs assessed, and what commercial, performance or risk triggers would justify changing provider?

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Roundtable format:

DataIQ Roundtables are 60-minutes, facilitated online discussions with a maximum of 10 data leaders focused on the most pressing issues in data and analytics. They provide a trusted space to share experiences, test ideas, and learn from peers, with each session shaped around a topical theme. 

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How to apply:

This event is designed for DataIQ clients only.

If you’re a client, you can sign up via the DataIQ Hub. If you are not a client yet, you can find our more here.