​Engineering the Bottom Line is an event series hosted by Orb, where we champion and celebrate the tight collaboration of engineering and finance teams. This edition is co-produced with Cloudflare, OpenAI, Pinecone, and Lamini and moderated by Amplify Partners.

​Join us for drinks, bites, discussion, and networking.

​What's the ROI of Gen AI Innovation?

​Fireside Chat | Incubating GenAI Products at the Edge: Cloudflare as a Case Study of R&D and Finance Collaboration

​We’re bearing witness to a Cambrian explosion of Generative AI product innovation. Traditionally, finance and engineering teams have operated in silos, at best – or, at worst, with outright conflict. Engineering teams seek to push the boundaries of technical innovation, while finance teams look several steps ahead at long-term efficient growth and predictability, critical given the non-trivial and at times volatile unit economics of AI.

​Cloudflare is the exception to the norm. Their team dynamic highlights how tight R&D and finance partnership acts as the key to unlocking innovation value and go-to-market success.

​Join us for a fireside chat moderated by Orb CEO and co-founder, Alvaro Morales, as he explores the relationship between Cloudflare’s Thomas Seifert (CFO) and Dane Knecht (SVP, Emerging Technology and Innovation) as they outline their playbook for successfully bringing products to market - over and over again. 

​Panel | Beyond the Hype: Strategies for Effective AI Value Realization

​The potential value generation of GenAI products is well understood. Value realization, on the other hand, remains elusive to most players.  

​In this panel discussion moderated by Grace Ge (Amplify Partners), leaders from Pinecone (Ram Sriharsha, CTO), Lamini (Greg Diamos, Co-founder and CTO), OpenAI (Alison Harmon, Head of Growth) and Orb (Kshitij Grover, CTO), will share strategies for effectively conveying enterprise value and the measurable business outcomes their AI solutions and infrastructure provide. 

​The discussion will include AI’s potential to address enterprise-grade pain points and use cases, driving successful up-market adoption of AI applications, as well as emerging business models and pricing strategies.