Radar trends to watch: September 2021 – O’Reilly

Let’s start with a moment of silence for O’Reilly Author Toby Segaran, who passed away on August 11, 2021.  Toby was one of the people who got the Data Science movement started. His book, Programming Collective Intelligence, taught many how to start using their data. Throughout his career, he mentored many, and was particularly influential … Read moreRadar trends to watch: September 2021 – O’Reilly

2021 Data/AI Salary Survey – O’Reilly

In June 2021, we asked the recipients of our Data & AI Newsletter to respond to a survey about compensation. The results gave us insight into what our subscribers are paid, where they’re located, what industries they work for, what their concerns are, and what sorts of career development opportunities they’re pursuing. While it’s sadly premature to … Read more2021 Data/AI Salary Survey – O’Reilly

Ethical Social Media: Oxymoron or Attainable Goal?

Humans have wrestled with ethics for millennia. Each generation spawns a fresh batch of ethical dilemmas and then wonders how to deal with them. For this generation, social media has generated a vast set of new ethical challenges, which is unsurprising when you consider the degree of its influence. Social media has been linked to … Read moreEthical Social Media: Oxymoron or Attainable Goal?

Radar trends to watch: October 2021 – O’Reilly

The unwilling star of this month’s trends is clearly Facebook. Between reports that they knew about the damage that their applications were causing long before that damage hit the news, their continued denials and apologies, and their attempts to block researchers from studying the consequences of their products, they’ve been in the news almost every … Read moreRadar trends to watch: October 2021 – O’Reilly

The Quality of Auto-Generated Code – O’Reilly

Kevlin Henney and I were riffing on some ideas about GitHub Copilot, the tool for automatically generating code base on GPT-3’s language model, trained on the body of code that’s in GitHub. This article poses some questions and (perhaps) some answers, without trying to present any conclusions. First, we wondered about code quality. There are … Read moreThe Quality of Auto-Generated Code – O’Reilly

Why Data Makes It Different – O’Reilly

Much has been written about struggles of deploying machine learning projects to production. As with many burgeoning fields and disciplines, we don’t yet have a shared canonical infrastructure stack or best practices for developing and deploying data-intensive applications. This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like … Read moreWhy Data Makes It Different – O’Reilly

The Sobering Truth About the Impact of Your Business Ideas – O’Reilly

The introduction of data science into the business world has contributed far more than recommendation algorithms; it has also taught us a lot about the efficacy with which we manage our businesses. Specifically, data science has introduced rigorous methods for measuring the outcomes of business ideas. These are the strategic ideas that we implement in … Read moreThe Sobering Truth About the Impact of Your Business Ideas – O’Reilly

Radar trends to watch: November 2021 – O’Reilly

While October’s news was dominated by Facebook’s (excuse me, Meta’s) continued problems (you’d think they’d get tired of the apology tour), the most interesting news comes from the AI world. I’m fascinated by the use of large language models to analyze the “speech” of whales, and to preserve endangered human languages. It’s also important that … Read moreRadar trends to watch: November 2021 – O’Reilly

Remote Teams in ML/AI – O’Reilly

I’m well-versed in the ups and downs of remote work. I’ve been doing some form thereof for most of my career, and I’ve met plenty of people who have a similar story. When companies ask for my help in building their ML/AI teams, I often recommend that they consider remote hires. Sometimes I’ll even suggest … Read moreRemote Teams in ML/AI – O’Reilly

Low-Code and the Democratization of Programming – O’Reilly

In the past decade, the growth in low-code and no-code solutions—promising that anyone can create simple computer programs using templates—has become a multi-billion dollar industry that touches everything from data and business analytics to application building and automation. As more companies look to integrate low-code and no-code solutions into their digital transformation plan, the question … Read moreLow-Code and the Democratization of Programming – O’Reilly