Monday Morning Data Chat
#172 - Yali Sassoon - Using LLMs to Support the Analytics Workflow
May 2, 2024
Yali Sassoon, CTO and Co-founder of Snowplow, discusses the use of LLMs in analytics workflows, behavioral analytics, and the evolution of language models in data science. They explore how LLMs can enhance communication, decision-making, and problem-solving, while also addressing potential risks and ethical concerns. The conversation touches on industry trends, book writing challenges, and upcoming events in data analytics.
01:03:37
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Quick takeaways
- Behavioral data analysis reveals unexpected user behaviors, challenging traditional assumptions.
- Complexity in data modeling poses a barrier to deriving actionable insights from event-level data.
Deep dives
Initial Success of Snow Cloud in Uncovering Unusual Behavioral Data
In the early days of behavioral data analysis, the Snow Cloud technology implemented by Snowplow uncovered some bizarre and unexpected insights for its customers. For instance, a partner company was perplexed by a user having 50 logins from different organizations, which turned out to be a normal practice. Another case involved a bot changing IP addresses and user agents rapidly, fooling the system. These discoveries were not the expected outcome of the data analysis but provided valuable insights into unfamiliar behaviors.
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