The practice of analytics engineering (made popular by dbt Labs) took the data world by storm last year as the novel approach changed how data professionals work. Today, dbt Labs officially launched the inaugural State of Analytics Engineering report. The report assessed the analytics engineering practice and gathered insights from those actively involved in the day-to-day of data.
dbt Labs Report – Opportunities and Challenges for Analytics Engineers
March 26, 2023 by Leave a Comment
O’Reilly 2023 Tech Trends Report Reveals Growing Interest in Artificial Intelligence Topics, Driven by Generative AI Advancement
March 24, 2023 by Leave a Comment
O’Reilly, a premier source for insight-driven learning on technology and business, announced the findings of its annual Technology Trends for 2023 report, which examines the most sought-after technology topics consumed by the 2.8 million users on O’Reilly’s online learning platform.
Video Highlights: Measuring Data Team ROI
March 19, 2023 by Leave a Comment
In this video presentation from our friends over at Monte Carlo we have an all-woman panel to discuss the process of measuring data team ROI, specifically how to track and scale the impact of data teams.
Video Highlights: GPT-4 Developer Livestream
March 17, 2023 by Leave a Comment
Here is Greg Brockman, President and Co-Founder of OpenAI, for a March 14, 2023 developer demo showcasing GPT-4 and some of its capabilities/limitations. Included are a number of very compelling new use case capabilities over the previous GPT-3.5 version.
Research Highlights: Real or Fake Text? We Can Learn to Spot the Difference
March 16, 2023 by Leave a Comment
A team of researchers at the University of Pennsylvania School of Engineering and Applied Science is seeking to empower tech users to mitigate risks of AI generated misinformation. In a peer-reviewed paper presented at the February 2023 meeting of the Association for the Advancement of Artificial Intelligence, the authors demonstrate that people can learn to spot the difference between machine-generated and human-written text.
ClearML Study: Friction a Key Challenge for MLOps Tools
March 14, 2023 by Leave a Comment
ClearML, the open source, end-to-end MLOps platform, released the final set of data to complete its recently released research report, MLOps in 2023: What Does the Future Hold? Polling 200 U.S.-based machine learning decision makers, the report examines key trends, opportunities, and challenges in machine learning and MLOps.
Data Science Bows Before Prompt Engineering and Few Shot Learning
March 13, 2023 by 1 Comment
In this contributed article, editorial consultant Jelani Harper takes a new look at the GPT phenomenon by exploring how prompt engineering (stores, databases) coupled with few shot learning can constitute a significant adjunct to traditional data science.
Video Highlights: Copilot for R
March 11, 2023 by Leave a Comment
Our video highlights selection for today is by data science industry luminary David Smith who made a presentation to the NYC Data Hackers on the topic of Copilot for R. If you haven’t come across Copilot before, it’s like an AI-based pair programmer that suggests new lines of code, and perhaps entire functions, based on context.
#insideBIGDATApodcast: Three Metrics for Measuring Enterprise AI Success
March 6, 2023 by Leave a Comment
Welcome to the insideBIGDATA series of podcast presentations, a curated collection of topics relevant to our global audience. Topics include big data, data science, machine learning, AI, and deep learning. Today’s guest is Supreet Kaur, Assistant Vice President at Morgan Stanley. In conversation with Emerj CEO Daniel Faggella, Supreet tells business leaders three metrics they need to measure their enterprise AI success.
Video Highlights: Distributed Python with Ray
March 5, 2023 by Leave a Comment
This is an introductory and hands-on guided tutorial of Ray2.0 that covers an introductory, hands-on coding tour through the core features of Ray, which provides powerful yet easy-to-use design patterns for implementing distributed systems in Python.
