Join Denys Linkov, Head of ML at Voiceflow, Chip Huyen, VP of AI & OSS at Voltron Data, and Colin Guilfoyle, VP of CS at Trilogy, as they break down the cost and return of automating with AI.
Understanding the upfront and downstream costs (and returns) of AI automation can be complex. It’s also essential to success with any AI product roadmap to understand the full scope of budgeting for AI initiatives.
This video covers:
➕ Steps to building a holistic plan for your AI initiative
➕ How to budget for hardware vs engineering time, including budgeting for experimentation
➕ Measuring initiative ROI and getting to AI production value
➕ Specific outcomes and lessons learned from real-world case studies
00:00 Introducing Denys, Chip, and Colin
02:39 First Project and Experimentation
10:32 Business Growth and Hiring for AI
31:34 Choosing a Model and RAG
37:26 Budgeting Compute and GPU
43:43 Big Takeaways
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