Gerard Kostin - DataGPT

The Hidden Cost of Ad Hoc Cloud Analytics (and How DataGPT saves millions of dollars on data analysis)

Short abstract Ad hoc data analysis is crucial in today’s data-driven enterprises – whether it’s an e-commerce giant drilling into holiday sales anomalies, a supply chain team tracing a bottleneck in shipments, or a streaming service investigating a sudden drop in viewer engagement. The insights from exploratory queries can

Blog

LLMs in Data Analytics: Can They Match Human Precision?

I had the honor of speaking at the Open Data Science Conference in October. The subject of my talk was the capabilities of Large Language Models (LLMs) in data analytics, highlighting the inherent challenges when processing extensive datasets. Watch the recording here!

Thought Leadership

The Wrong and Right way to use ChatGPT in Data Analytics

We delve into the reasons why these AI-powered tools are competing with human analysts, focusing on aspects such as scalability, cost-efficiency, and consistent performance.

Thought Leadership

The Art and Science of Data Analysis, Chapter 2: Uncovering the Common Errors in Data Analysis

Data distributions can help identify patterns and trends and provide insight that is used to design and implement an effective data analysis strategy. That’s why many mistakes in data analysis start with wrong data distribution evaluation.

Thought Leadership

The Art and Science of Data Analysis, Chapter 1: Deciphering Outliers - Noise or Informative?

Everyone who ever did data analysis knows how outliers can affect results. Therefore many analysts are trying to identify and remove them from the dataset.