This week on The Data Stack Show, Eric and John welcome Spencer Burke, Senior Vice President of Growth at Braze. Spencer shares his 13-year journey at Braze, discussing the company’s evolution and the critical intersection of marketing and data. The conversation highlights the challenges marketers face in leveraging data effectively, the necessity of clean data for successful campaigns, and the often-fractured collaboration between marketing and data teams. Emphasizing the importance of improved integration and communication, the episode underscores how these elements drive successful customer engagement and marketing strategies. You won’t want to miss it. 

This week on The Data Stack Show, Eric and John welcome Evan Wimpey, Director of Analytics Strategy at Elder Research. During the episode, Evan shares his diverse background, including his Marine Corps experience, and delves into the concept of synthetic controls in data science. Evan explains how synthetic controls create theoretical models to measure the impact of new competitors on existing businesses. The conversation also covers the importance of qualitative context in data analysis, challenges in communicating data insights, and Evan’s unique venture into data-related comedy, highlighting his book “Predictable Jokes.” Trust us, you won’t want to miss this episode! 

This week on The Data Stack Show, it’s a RudderStack round table as Eric and John are joined by Matthew Kelliher-Gibson. Together they delve into the current state and future potential of large language models (LLMs) and artificial intelligence (AI). The group discusses the hype versus reality of LLMs, their practical applications, and the challenges of implementing them in production environments. Drawing parallels to the early days of the iPhone, they explore the transformative potential of LLMs while acknowledging their limitations. The episode provides insights into AI’s evolving landscape, emphasizing the importance of understanding token limits, practical use cases, the integration of LLMs with customer data, and more.