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Scaling AI Without Breaking the Budget

Thursday, August 27, 11 AM ET

Key Takeaways

  • Learn how to identify and prioritize the AI use cases most likely to deliver measurable ROI in your organization.
  • Discover practical tactics for reducing AI infrastructure and vendor costs while maintaining performance at scale.
  • Understand how technology and finance leaders can align to accelerate AI adoption in a sustainable, budget-conscious way.

Your Presenter(s)

Rob Ferguson headshot

Rob Ferguson

VP of Technology and Strategy at Fireworks

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Rob Ferguson is VP of Technology and Strategy at Fireworks, the platform for specialized intelligence enabling companies like Uber and Shopify to train and serve custom models. He's formerly the CTO for Microsoft for Startups and the Global Head of AI/ML for Startups and VC at AWS.

Meryem Arik headshot

Meryem Arik

CEO at Doubleword

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Meryem Arik is the co-founder and CEO of Doubleword, where she works on large-scale LLM inference and production AI systems. Doubleword, backed by the UK government's SovAI fund, is the UK's first dedicated inference lab. She studied theoretical physics and philosophy at the University of Oxford. Meryem is a frequent conference speaker, including a TEDx speaker and a four-time highly rated speaker at QCon conferences. She was named to the Forbes 30 Under 30 list for her work in AI infrastructure.

Nirmal Jingar headshot

Nirmal Jingar

Sr. Engineering Leader for Enterprise AI & Supply Chain at Wayfair

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Nirmal Jingar is Sr. Engineering Leader at Wayfair, where he leads supply chain engineering teams building governed, real-time AI decision systems across inventory, routing, and delivery. His work has delivered over $300 million in savings through platform modernization and generative AI adoption. A Forbes Technology Council member and MIT alumnus, Nirmal advises companies on scaling AI responsibly and speaks widely on practical AI governance in enterprise operations.

Daria Fedechkina headshot

Daria Fedechkina

CFO at LexisNexis France

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Daria Fedechkina is CFO at LexisNexis France, bringing over 18 years of international finance experience across LVMH, AB InBev, Schneider Electric, and Wienerberger AG. Holding CMA and CSCA credentials, with education from the London School of Economics, she is an advocate for AI fluency in finance leadership. Daria is known for pushing organizations to move beyond spreadsheet reconciliation toward AI-automated workflows that drive real operational value.

Why this matters

AI budgets are under scrutiny as organizations demand proof of return on investment. For many companies, the initial wave of AI experimentation has given way to harder questions: which use cases actually generate value, how do you contain runaway infrastructure costs, and how do you build adoption without overspending? The stakes are high — organizations that get this right will compound advantages over competitors, while those that don't risk both wasted capital and missed opportunity.

In this panel interview webinar, Rob Ferguson (VP of Technology and Strategy at Fireworks), Meryem Arik (CEO at DoubleWord AI), Nirmal Jingar (Sr. Engineering Leader at Wayfair), and Daria Fedechkina (CFO at LexisNexis France) will explore how to evaluate AI ROI and prioritize the highest-value use cases, share practical strategies for reducing AI spend without sacrificing capability, and discuss how finance and technology leaders can collaborate to drive financially prudent AI adoption at scale.

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