Subject
9 entries
Industry
Bookmarks
Q2 2022 AI/ML Industry Report (Gradient Flow Preview)
Gradient Flow's Q2 2022 preview report surveying the AI/ML industry landscape — adoption patterns, infrastructure tooling, and where enterprise ML investment was flowing mid-2022. A snapshot of the field right before the generative AI wave broke, useful as a baseline for how quickly the priorities shifted.
All Roads Lead to Rome: The ML Job Market in 2022
Eric Jang's 2022 essay on the ML job market — titled 'All Roads Lead to Rome,' arguing that different entry points (research labs, industry, startups) all converge on the same destination if you're technically strong. Candid advice from a DeepMind robotics researcher.
Where Are the Opportunities for Machine Learning Startups?
A 2015 VC perspective on where machine learning startups have genuine opportunities — identifying verticals where ML adds defensible value vs. where it's a feature, not a company. Notable for emphasizing ML education as an overlooked category.
Surviving Data Science "at the Speed of Hype"
John Foreman's essay on staying grounded as a data scientist when the field is being hyped beyond recognition — arguing for focusing on decisions and outcomes rather than methods and tools. One of the sharper industry critiques of the 2015 data science gold rush.
The Current State of Machine Intelligence (2014)
Shivon Zilis's 2014 landscape of machine intelligence companies — an early attempt to map the ML startup ecosystem before deep learning had fully taken over. A historical snapshot of what the AI industry looked like before the transformer era.
Y Combinator 2014 Data Science Startups
MLWave's survey of Y Combinator's 2014 data science and machine learning startups — a snapshot of where the industry was investing in applied ML before the current deep learning era. Shows which problem domains were being commercialized in the pre-GPT wave.
For Big Data Scientists, Hurdle to Insights Is Janitor Work
The New York Times article that popularized the term 'janitor work' for data cleaning — reporting that data scientists spend 50-80% of their time on data preparation rather than analysis. Validation from a mainstream outlet that this unglamorous reality was the actual job.
A Data Science Chat with Kevin Novak from Uber
A talk by Kevin Novak, data scientist at Uber, covering how Uber approaches data science in practice — from surge pricing models to driver supply forecasting. An early window into how a hypergrowth tech company used data science operationally.
The Top 10 Fastest-Growing U.S. Industries (Hint: Think Hot Sauce)
Washington Post Wonkblog's 2012 list of the fastest-growing US industries, headlined by hot sauce and other food products. A data snapshot of American economic growth patterns in the early 2010s recovery.