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LLMs for Data-Driven Decision Making in Product Development

Conf42 via YouTube

Overview

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Explore how Large Language Models can revolutionize data-driven decision making in product development through this 15-minute conference talk from Conf42 LLMs 2025. Learn the fundamentals of LLMs and their application in product management, starting with an understanding of what Large Language Models are and how they function. Discover how to combine LLMs with traditional data-driven decision making approaches to enhance product development processes. Examine practical applications including market research and trend analysis using LLMs, customer feedback analysis for deeper insights, and feature prioritization through AB testing methodologies. Get familiar with the essential tools and technologies needed to implement LLMs in your product workflow. Understand the key challenges and considerations when adopting LLM technology, including potential limitations and risks. Master best practices for successfully implementing LLMs in product management contexts, ensuring effective integration with existing processes. Gain insights into the future landscape of AI in product management and how these technologies will continue to evolve. The presentation covers both theoretical foundations and practical implementation strategies, making it valuable for product managers, data analysts, and development teams looking to leverage AI for better decision making.

Syllabus

00:00 Introduction and Speaker Background
00:54 Overview of Leveraging LLMs
01:15 Understanding Large Language Models LLMs
02:38 Data-Driven Decision Making in Product Management
04:14 Combining LLMs with Data-Driven Decision Making
04:26 Market Research and Trend Analysis with LLMs
05:19 Customer Feedback Analysis Using LLMs
05:54 Feature Prioritization and AB Testing
07:55 Tools and Technologies for LLMs
09:14 Challenges and Considerations
11:02 Best Practices for Implementing LLMs
12:32 Future of AI in Product Management
13:58 Conclusion and Final Thoughts

Taught by

Conf42

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