Abstract: In today's business environment, data plays a crucial role in decision-making. However, obtaining the required data can be challenging due to data engineering or data science resource constraints, leading to delays, inefficiency, and potential losses. This talk will focus on creating a self-serve bot (e.g., Slack bot) that can serve data requests and support ad-hoc requests by leveraging LLM applications. This involves building a natural language to SQL engine using tools such as OpenAI API or open-source models that leverage the Hugging Face API.
Bio: Rami Krispin is a data science and engineering manager who mainly focuses on time series analysis, forecasting, and MLOps applications. He is the author of Hands-On Time Series Analysis with R and is currently working on my next book, Applied Time Series Analysis and Forecasting, which focuses on forecasting at scale. He is passionate about open source, putting stuff into production, working with data and APIs, machine learning, Bayesian statistics, data visualization, and GIS data.