LLM Adoption in the Enterprise

The emergence of generative AI marks a pivotal moment for product teams. Across industries, executives and product leads need to understand how they can use AI to propel their organizations forward with innovative and meaningful products.

Using large language models (LLMs) as an example, this concise guide illustrates how enterprises should approach the introduction of generative AI into their business models. From a practical understanding of the technology, to efficient and dynamic cross-functional product teams, to agile product lifecycles: packed with real-world examples, this report aims to equip thought leaders with a readily applicable framework for building with AI.

deepset's Isabelle Nguyen shares her experience from years of accompanying generative AI as it learned how to fly. Through her practical insight into the process of building with LLMs, you'll gain a rare understanding of the technology in action that is both pragmatic and visionary.

This report covers:

• Product-oriented generative AI: Gain a practical understanding of LLMs and AI technology at large.
• The product mindset: Learn about the importance of a product mindset and how to use it to effectively manage the product lifecycle.
• Use cases and how to handle them: Discover how to map a tangible business use case to AI-driven solutions.
• Cross-functional product teams: Find out about the incredible benefits that cross-functional teams offer through their diverse skill sets—and how to harness them through effective team leadership.
• The AI team's toolkit: Examine the specific skills and knowledge that every AI team must have.

Isabelle Nguyen, technical content writer at deepset, is a linguist by training with a master's degree in NLP and machine learning. Her primary focus is demystifying the intricacies of generative AI and LLMs and making these complex topics understandable to a wide audience.