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The Data Discovery Team

Jesse Anderson

A Guest Post by Ole Olesen-Bagneux In this blog post I would like to describe a new data team, that I call ‘the data discovery team’. Data discovery is thought of in different ways in data science and in information science respectfully.

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Data Science in Agriculture: Roles, Application, Examples

Knowledge Hut

The implementation of Data Science in agriculture is truly groundbreaking for farmers globally. Recent press claims that the DATOS Project used data from remote sensing along with artificial intelligence, machine learning, and other approaches to Data Science for agriculture. Are available online.

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Future Proof Your Career With Data Skills

Knowledge Hut

Data is everywhere, and we have all seen exponential growth in the data that is generated daily. I nformation must be extracted from this data to make sense of it, and we must gain insights from th is information that will help us to understand repeating patterns. This is where Data Science comes into the picture.

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Top 10+ Applications of Data Science in E-commerce for 2024

Knowledge Hut

Every time someone uses the internet, more data is added. We need assistance from various Data Science methodologies to make sense of this enormous amount of data and use it for the company's objectives, etc. Data science for eCommerce has been one of the most impactful technologies in recent years.

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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.

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Climate and Sustainability Hackathon—Meet the Judges!

Cloudera

The Hackathon was intended to provide data science experts with access to Cloudera machine learning to develop their own Accelerated Machine Learning Project (AMP) focused on solving one of the many environmental challenges facing the world today. The judging process took place over two phases from October 2023 to March 2024.

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Technical Learning at Lyft: Build a Strong Data Science Team

Lyft Engineering

At Lyft, data scientists tackle challenging technical problems every day. To support and empower our data scientists, Lyft’s Technical Learning Council (TLC) provides diverse and high-quality continuous learning opportunities to hone their technical skills. Written by Shumpei Goke and Jinshu Niu Why Technical Learning?