Top Places to Work for Data Engineers

We identify organizations in the U.S. that will help you develop your career in data engineering. By Jike Chong, Ben Lorica, and Yue Cathy Chang. In our previous post (“Top Places to Work for Data Scientists”), we compiled lists of U.S. organizations that can help data scientists identify great teams to join at various stagesContinue reading “Top Places to Work for Data Engineers”

Gradient Flow #45: Top Places to Work for Data Scientists; Model Serving; Tuning Language Models

Subscribe • Previous Issues “There’s no sense in being precise when you don’t even know what you’re talking about.” – John von Neumann Data Exchange podcast Deploying Machine Learning Models Safely and Systematically  Hamel Husain is Staff Machine Learning Engineer at GitHub, and a core developer for fastai.  Machine Learning in Astronomy and Physics    Dr. VivianaContinue reading “Gradient Flow #45: Top Places to Work for Data Scientists; Model Serving; Tuning Language Models”

Gradient Flow #44: 2021 NLP Industry Survey Results; No-Code Overview

Subscribe • Previous Issues “Life is like an ice cream cone. It’s melting so you better eat it before it’s too late.” – Lila.GPT3 FREE Report: 2021 NLP Industry Survey Results Read this new report and learn how companies are building language applications today. The 2021 NLP Industry Survey was a global online survey that drew aContinue reading “Gradient Flow #44: 2021 NLP Industry Survey Results; No-Code Overview”

Taking Low-Code and No-Code Development to the Next Level

Low-Code and No-Code are already impacting software development and analytics, we describe what else is needed. By Assaf Araki and Ben Lorica Recent analyses of technical job postings in the US by Dice and CompTIA show demand for developers and software engineers growing rapidly year-over-year, from 2020 to 2021. Last year’s dip in the numberContinue reading “Taking Low-Code and No-Code Development to the Next Level”

2021 NLP Survey Report

By Ben Lorica and Paco Nathan. Our 2021 NLP Industry Survey report is informed by several important contrasts: organizations with years of history deploying NLP applications in production compared to those which are exploring NLP, responses from Technical Leaders versus general practitioners, and company size. We draw insights and indicate trends based on those contrasts.Continue reading “2021 NLP Survey Report”

Gradient Flow #43: Graph Databases; Language Understanding; Program Synthesis

Subscribe • Previous Issues “Done is better than perfect.” – Sheryl Sandberg Data Exchange podcast The State of Data Journalism    A conversation with Tara Kelly, Data Editor at DataJournalism.com (DJC) an organization created by the European Journalism Centre. DJC provides journalists and media groups with free resources, materials, online video courses and community forums.  Why GraphContinue reading “Gradient Flow #43: Graph Databases; Language Understanding; Program Synthesis”

Gradient Flow #42: Data Quality; Oscilloscope for Deep Learning; Feature Stores

Subscribe • Previous Issues “The slow philosophy is not about doing everything in tortoise mode. It’s less about the speed and more about investing the right amount of time and attention in the problem so you solve it.” – Carl Honoré Data Exchange podcast An oscilloscope for deep learning   Charles Martin is the founder of CalculationContinue reading “Gradient Flow #42: Data Quality; Oscilloscope for Deep Learning; Feature Stores”