Applications of Reinforcement Learning: Recent examples from large US companies

When I wrote about enterprise applications of reinforcement learning (RL) a little over a year ago, I cited a few examples of applications for recommenders and personalization systems. At the time, the examples I listed came from large technology companies, specifically Netflix, JD, Facebook, and YouTube, as only large companies tended to have the resourcesContinue reading “Applications of Reinforcement Learning: Recent examples from large US companies”

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”

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”