How robust and universally applicable are the definitions that underpin your data strategy?

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If you are a RevOps leader applying AI to your GTM, this should be your starting point.

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Travis Henry of Snowflake is joining us to discuss how you can apply AI to your GTM 🚀

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Travis is a published author of Busting Silos and has pioneered GTM, focusing on unifying sales and marketing to build enterprise pipeline.

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Anders Krohn and Travis cover new challenges RevOps leaders need to get right:

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✅ Building meaningful and universally applicable definitions that underpin your data strategy.

✅ Evaluating underlying data quality before deploying AI into your CRM.

✅ Planning the feasibility of an AI initiative before you start the process.

✅ Identifying the areas specific to your business where AI will reduce friction.

✅ Analyzing and improving the internal efficiency of operations teams.

✅ Optimizing for fewer CRM clicks for sales reps.

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Beyond the practical advice, also learn how the role and functionality of the CRM may change entirely to a more intuitive, agentic database.

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If you are a RevOps leaders mapping out AI deployments into your GTM, this is for you.

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Tune in to understand howRevOps leaders should think about deploying AI from fundamental definitions through to execution in your CRM.