Charts and Graphics

One Simple Chart: Data Engineering jobs in the U.S.

It’s been a few months since I looked at data on job postings. In my most recent post in Dec/2020 I focused on reinforcement learning (RL), which in terms of number of job postings, barely grew on a year-over-year basis. The good news is that it appears that employers are once again starting to postContinue reading “One Simple Chart: Data Engineering jobs in the U.S.”

One Simple Chart: online learning platforms, a year into the pandemic

Download the 2020 NLP Survey Report and learn how companies are using and implementing natural language technologies. Last year I examined usage of a few online learning platforms and found that a month into the pandemic, many of them were growing rapidly. Now that we have data to compare pre and post pandemic usage, let’sContinue reading “One Simple Chart: online learning platforms, a year into the pandemic”

One Simple Chart: Demand for Reinforcement Learning Holds Steady

Late last year I started running into more companies using reinforcement learning (RL). Inspired by some of the things I was hearing about, early this year I wrote about emerging RL use cases in simulation & optimization, as well as examples of RL in recommendation and personalization systems. With the global pandemic taking a tollContinue reading “One Simple Chart: Demand for Reinforcement Learning Holds Steady”

One Simple Chart: primary applications of AI in Financial Services

Download the 2020 NLP Survey Report and learn how companies are using and implementing natural language technologies. In a recent post, I highlighted technologies are most important to large banks using results from a BankDirector survey. That survey hinted that Data and AI are high priorities within large banks, and Automation and Data Analytics emergedContinue reading “One Simple Chart: primary applications of AI in Financial Services”

2020 NLP Survey cover

NLP Survey Results: An Overview

The term “NLP”—or natural language processing—encompasses a wide range of business use cases that are mostly text based. Consider that people use text to record and transmit their communications in general, and, as such, it’s one of the most widely available and “interoperable” data formats. While some industry sectors such as finance and healthcare haveContinue reading “NLP Survey Results: An Overview”

One Simple Graphic: companies that offer deep neural network accelerators

In 2018, I sat down and listed companies (mainly based in the US and China) that were offering specialized hardware for deep learning. There were plenty of startups in the hardware space at that time but things have changed and that particular list is a bit outdated. Many companies have pivoted, or gone bust, orContinue reading “One Simple Graphic: companies that offer deep neural network accelerators”

One Simple Chart: what technologies are most important to large banks

As someone who speaks with many technology startups in the software space, I know how important the financial services sector can be to software companies. Companies in this sector have significant technology budgets and increasing competition from fintech startups has accelerated their adoption of new technologies. More financial companies are using cloud platforms and machineContinue reading “One Simple Chart: what technologies are most important to large banks”

One Simple Chart: how open source projects interact with users

Core members of an open source projects make an effort to interact with users through a variety of means. They give talks at local events (now moved online), they answer questions online, and they resolve issues identified by users (using tools like GitHub). As far as answering questions from users, over the past couple ofContinue reading “One Simple Chart: how open source projects interact with users”

One Simple Chart: the number of cloud native developers worldwide

I recently came across a developer survey (The State of Cloud Native Development) from the Cloud Native Computing Foundation (CNCF) and /Data, focused on estimating the number of cloud native developers worldwide. CNCF defines cloud native technologies as follows: Cloud native technologies empower organizations to build and run scalable applications in modern, dynamic environments such as public,Continue reading “One Simple Chart: the number of cloud native developers worldwide”

One Simple Chart: where do consumers prefer AI data be processed

With machine learning and AI being embedded in a growing number of products and systems, privacy and security become central for users and companies. Every company now has a Privacy Policy to comply with regulations like GDPR and CCPA. And in the not-so-distant future, companies will have teams focused on managing risks stemming from dataContinue reading “One Simple Chart: where do consumers prefer AI data be processed”

One Simple Chart: which sectors are using reinforcement learning

Interest in reinforcement learning has grown steadily over the last decade. In a recent post, I described emerging applications of RL in recommendation and personalization systems, and in business simulation and optimization. In this post, I wanted to examine which industry sectors have been mentioning reinforcement learning in their job postings. Let’s place demand forContinue reading “One Simple Chart: which sectors are using reinforcement learning”

One Simple Chart: Technology Adoption in the U.S.

I just came across a new paper that analyzes results from the 2018 Annual Business Survey, a study conducted by the US Census Bureau in partnership with the National Center for Science and Engineering Statistics. This survey was conducted over the second of half of 2018, and while the data is over a year old,Continue reading “One Simple Chart: Technology Adoption in the U.S.”

man using stylus pen for touching the digital tablet screen

One Simple Chart: Computational Limits of Deep Learning

While deep learning proceeds to set records across a variety of tasks and benchmarks, the amount of computing power needed is becoming prohibitive. A recent paper – “The Computational Limits of Deep Learning” – from M.I.T., Yonsei University, and the University of Brasilia, estimates of the amount of computation, economic costs, and environmental impact thatContinue reading “One Simple Chart: Computational Limits of Deep Learning”

view of airport

One Simple Chart: job postings that mention “serverless”

Ray is the future of the serverless API: Learn all about it at Ray Summit, a FREE virtual conference showcasing best practices, real-world case studies, and the latest in AI and scalable systems built on Ray. Join Dave Patterson, Ion Stoica, Manuela Veloso, Azalia Mirhoseini, Michael Jordan, Zoubin Ghahramani, Oriol Vinyals, and many other speakersContinue reading “One Simple Chart: job postings that mention “serverless””

One Simple Chart: skills gap in data science

NLP in industry survey: We want to find out how people are using NLP, what tools they are using, and what challenges they face. Please take 5 minutes to fill out our survey and pass it along to your friends and colleagues. There are many interesting bits in the recent survey from Anaconda (“The StateContinue reading “One Simple Chart: skills gap in data science”

One Simple Chart: Correlated Technologies

NLP in industry survey: We want to find out how people are using NLP, what tools they are using, and what challenges they face. Please take 5 minutes to fill out our survey and pass it along to your friends and colleagues. A February/2020 survey from Stack Overflow clustered together tools into groups that tendContinue reading “One Simple Chart: Correlated Technologies”

One Simple Chart: Salaries and Cost of Living in Major Technology Hubs in the US

NLP in industry survey: We want to find out how people are using NLP, what tools they are using, and what challenges they face. Please take 5 minutes to fill out our survey and pass it along to your friends and colleagues. Tech workers in the SF Bay Area are paid higher because the costContinue reading “One Simple Chart: Salaries and Cost of Living in Major Technology Hubs in the US”

One Simple Chart: most companies use multiple cloud providers

Using more than one cloud service – or going multicloud– is increasingly the norm. I looked through six different surveys with release dates ranging from May/2019 to May/2020. The results consistently show that a vast majority of respondents worked at companies that use multiple cloud providers. This is consistent with the results of earlier surveysContinue reading “One Simple Chart: most companies use multiple cloud providers”

One Simple Chart: News Consumption in the US

A recent AAAS study – Evaluating the fake news problem at the scale of the information ecosystem – contained interesting data on news consumption in the US. Only a small share of minutes (14%) of total media consumption (Online and TV) is spent on news: The goal of the study was to put fake newsContinue reading “One Simple Chart: News Consumption in the US”

One Simple Chart: Technology and Automation in E-Commerce

With consumer spending shifting to e-commerce, I revisited recent surveys of executives in the e-commerce space. These surveys took place prior to the pandemic and included questions on technology spending and initiatives. A March 2020 survey from YOTTAA included data on investments plans and it includes terms that might not be familiar to those outsideContinue reading “One Simple Chart: Technology and Automation in E-Commerce”

One Simple Chart: China’s public investment in AI

Countries around the world view AI and machine learning as critical to modernizing their economies and their militaries. Two countries seem to hold an advantage over the rest: the US and China. A 2018 book by Kai-Fu Lee described the relative strengths of these two countries which includes things like access to large consumer marketsContinue reading “One Simple Chart: China’s public investment in AI”

One Simple Chart: Who Do Consumers Trust with their Data?

As machine learning and AI begin to show up in more applications and products, companies need to pay attention to concerns about data privacy and security. This isn’t news – companies have had to act as regulators all over the world have put in place data privacy regulations (there are many versions, but GDPR andContinue reading “One Simple Chart: Who Do Consumers Trust with their Data?”

One simple chart: Demand for Machine Learning Engineers

I started hearing the job role of “machine learning engineer” a few years ago. In mid 2017 we wrote a post describing the role that we were observing in a few companies mainly in the technology sector. At the time, companies were carving out a new role focused on making machine learning and data scienceContinue reading “One simple chart: Demand for Machine Learning Engineers”

One Simple Chart: Spark NLP goes international

About a year ago, I posted a chart that showed the geographic distribution of users of Spark NLP, an open source, natural language processing library built on top of Apache Spark. With the recent release of version 2.5, Spark NLP now provides support for 14 new languages (more languages than any other open-source library). IContinue reading “One Simple Chart: Spark NLP goes international”

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