This week on The Data Stack Show, it’s another edition of the Cynical Data Guy as Eric and John welcome back Matthew Kelliher-Gibson. This round, the group chats about the multifaceted challenges in data work. The discussion features a series of lightning round topics where LinkedIn posts spark debates on data quality, job titles, version control, and hiring processes. Matt critiques the consolidation trend in the data industry, the superficiality of job titles, and the inefficiencies in hiring practices. The episode offers listeners a blend of technical, business, and human insights, emphasizing the importance of clear communication and defined processes in the data field, and so much more! 

This week on The Data Stack Show, Eric and John welcome Edward Chenard, a seasoned data leader with experience in both large enterprises and startups. During the conversation, the group discusses Edward’s career in data analytics, emphasizing the importance of P&L ownership for data leaders. The conversation explores the complexities of building effective data teams, the distinctions between data analytics and software engineering, and the transformative impact of AI. Edward also shares insights on personalization in business, drawing from his experiences at companies like Best Buy, and highlights the need for deep thinking and customer engagement in data initiatives. Don’t miss this great conversation!

This week on The Data Stack Show, John and guest host Matthew Kelliher-Gibson welcome Nicolay Gerold, CEO and Founder, of Aisbach, and host of How AI is Built podcast. The group delves into the evolution, strengths, and challenges of language models (LLMs) and AI. Nicolay shares insights on data-centric AI approaches, practical applications like data extraction and content generation, and the importance of aligning LLMs with user preferences. The conversation also explores the current AI startup landscape, the hype around generative AI, the necessity of thorough testing and monitoring in AI applications, and so much more.