ODSC - Open Data Science

MARCH 5, 2025

He identifies several key specializations within modern datascience: Data Science & Analysis: Traditional statistical modeling and machine learning applications. Data Engineering: The infrastructure and pipeline work that supports AI and datascience.

Data Science 52

Data Science Software Engineer Data Scientist Machine Learning 52

Unite.AI

JANUARY 22, 2025

It emerged to address challenges unique to ML, such as ensuring data quality and avoiding bias, and has become a standard approach for managing ML models across business functions. LLMs require massive computing power, advanced infrastructure, and techniques like prompt engineering to operate efficiently.

Prompt Engineer 203

Prompt Engineer Prompt Engineering Large Language Models LLM 203

ODSC - Open Data Science

MARCH 24, 2025

Challenges in Implementing AI atScale While AI presents exciting possibilities, integrating it into enterprise environments comes with significant challenges. Gary identified three major roadblocks: Data Quality and Integration AI models require high-quality, structured, and connected data to function effectively.

Automation 52

Automation Data Analysis Prompt Engineer Prompt Engineering 52