DeveloperWeek Management 2024 + AI DevSummit 2024 (+ DW Europe/LATAM 2024)

Sharmila More, Intuit, Platform Product Management Leader

In today's digital age, Generative AI has significantly transformed various areas of software product development. While there's been plenty of literature on how Gen AI can assist PM jobs such as generating ideas, writing User stories, or defining your product market fit, very few articles provide insights into how it changes the product development lifecycle and the role of Product Managers in influencing their teams in embracing this technology.
To analyze the impact of Gen AI and its intersection with PM roles, a necessary prerequisite would be for Product Managers to understand the basics of these technologies.
Some of the critical areas of product development that have undergone a transformation with the introduction of Generative AI are as follows:
Determining whether LLM is even the appropriate solution to address your customer problem or you should embrace the engineering solution.
A thorough assessment of the advantages and disadvantages of an Open source vs Closed source LLM.
Understand potential upfront costs, ongoing expenses, and the cost-to-benefit ratio of implementing a Generative AI solution.
Properly address data sensitivity concerns keeping in mind compliance and security reviews.
Effect of unpredictability and experimentation involved in LLMs to time-to-market.
Is it acceptable for your solution to have a probabilistic output?
Emphasize the importance of responsible AI, adhering to ethical and legal protocols.
Product Managers must devise metrics to measure the benefits of Generative AI in product development, with the idea of continuous improvement and innovation in the PM function.
In conclusion, this proposal focuses on the emerging need for PMs to remain up-to-date on the current developments in LLM and Generative AI and how they can use these technologies to their advantage, ultimately contributing to increased customer value and organizational growth.