2024-06-11 –, Frannz Salon
We explore the evolving role of product management in open-source generative AI, focusing particularly on Retrieval Augmented Generation's (RAG) industry impact. We cover community-commercial balance, innovative AI product discovery, and sustainable monetization strategies.
In this talk, we dissect the complex role of product management within open-source generative AI, an area brimming with innovation yet fraught with unique challenges.
- We start by setting the stage with the current surge of generative AI, and the proliferation of vector search and RAG use-cases.
- We highlight the distinctions between product and model offerings from commercial AI startups and their open-source counterparts, and emphasize the critical role open-source plays in innovation.
- We delve into the nuances of product management pivots required in this space, including strategic community engagement, navigating rapid competitive shifts, and developing sustainable business models.
- Using examples from leading open-source projects, from past and present, we illustrate how these challenges can be turned into opportunities for growth and innovation.
- Attendees will leave with a comprehensive understanding of the open-source AI landscape, equipped with strategies to leverage community resources effectively, adapt product offerings in line with evolving tech trends, and craft monetization approaches that align with the open-source ethos.
This session aims to empower leaders with the knowledge and tools to lead their projects to success in the competitive world of generative AI.
Saahil is the Head of Product at Jina AI, combining technical expertise in generative AI, machine learning, and search+reranking, with a strong foundation in SaaS product management. With over 7 years of experience in the field, he aims to leverage AI to transform how we interact with content, move in physical spaces, and create positive change.
Saahil has led the development and launch of multiple AI products, including multimodal models, knowledge graphs, and the application of ML to enhance security. His expertise extends through product lifecycle management, from conceptualization and deployment to go-to-market and commercialization.
Saahil studied Computer Science (M.Sc. and Ph.D.) at TU Munich.