Ten Areas of Data Engineering Every Team Should Excel At, Top Generative AI News, and ChatGPT
Open Data Science Conference (ODSC)
The leading applied data science and AI conference, with 4 global events and nearly 180 meetups worldwide every year.
From cloud engineering to workflows and more, these are the ten areas of data engineering that your team should take seriously in order to succeed.
Led by generative AI and AI art, this year has seen a lot of news around the use of artificial intelligence in art and media.
This article will show you the entire process of building a classification model on tabular data.
According to a recent study by HFS, 75 percent of executives don’t trust their data. Here’s why and what data-reliant teams can do about it.
Don’t wait, learn how you can make data actionable in 2023. ODSC’s Data Engineering Summit is a free event and will be held on January 18th, 2023. Now is a great time to learn from the leading experts in data engineering about the latest threads affecting the world of data engineering.
Rick and Morty co-creator Justin Roiland is using AI-generated art in his upcoming game, High on Life.
We recently spoke to author Emily Robinson about building a career in data science, why a portfolio is important, and how to build new skills.
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In a summary paper that documented eight years of studies, investigators found that AI-powered tools are showing remarkable ability in the diagnosis of mental health disorders.
OpenAI’s new ChatGPT is proving to be a headache for educators, as students are using them to do their homework and other assignments.
The Data Engineering Live Summit is coming up this January 18th and we’re excited to showcase our first list of confirmed speakers here.
We need your help! We want to know how data scientists are using machine learning. Take a few minutes to fill out our survey and be entered to win a free pass to ODSC East!
Small and medium-sized companies struggle to move past the proof-of-concept stage and find the right tools and processes to develop, deploy and monitor ML-centered products reliably. Challenges revolve around product definition, data collection, training in the low-data regime, tracking and operations, reliable deployment, and ethical implications. In this recording, the speaker will review these challenges and a few strategies for small or medium-sized organizations to fully realize the potential of ML in real-world applications.
Upcoming Webinars:
Thursday, January 12th, 2023, 12:00 PM — 1:00 PM EST
Join us for an exciting talk on the low-code no-code revolution, and how it is making AI accessible to everyone, not just developers.
Tuesday, January 17th, 2023, 12:00 PM — 1:00 PM EST
In this webinar, we will analyze the synergies of an integrated Feature Store and Model Serving platform for the operationalization of real-time ML-enabled services, including the key MLOps principles needed to ensure integrated version management for upgrading and downgrading models and the features that feed them. We will show an implementation of a real-time, personalized recommendation system using Hopsworks.