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Go TimeGo Time #162

We're talkin' CI/CD

Continuous integration and continuous delivery are both terms we have heard, but what do they really mean? What does CI/CD look like when done well? What are some pitfalls we might want to avoid? In this episode Jérôme and Marko, authors of the book “CI/CD with Docker and Kubernetes” join us to share their thoughts.

Practical AIPractical AI #118

The $1 trillion dollar ML model 💵

American Express is running what is perhaps the largest commercial ML model in the world; a model that automates over 8 billion decisions, ingests data from over $1T in transactions, and generates decisions in mere milliseconds or less globally. Madhurima Khandelwal, head of AMEX AI Labs, joins us for a fascinating discussion about scaling research and building robust and ethical AI-driven financial applications.

The ChangelogThe Changelog #424

You can FINALLY use JSHint for evil

Today we welcome Mike Pennisi into our Maintainer Spotlight. This is a special flavor of The Changelog where we go deep into a maintainer’s story. Mike is the maintainer of JSHint which, since its creation in 2011, was encumbered by a license that made it very hard for legally-conscious teams to use the project. The license was the widely-used MIT Expat license, but it included one additional clause: “The Software shall be used for Good, not Evil.” Because of this clause, many teams could not use JSHint.

Today’s episode with Mike covers the full gamut of JSHint’s journey and how non-free licensing can poison the well of free software.

Practical AIPractical AI #116

Engaging with governments on AI for good

At this year’s Government & Public Sector R Conference (or R|Gov) our very own Daniel Whitenack moderated a panel on how AI practitioners can engage with governments on AI for good projects. That discussion is being republished in this episode for all our listeners to enjoy!

The panelists were Danya Murali from Arcadia Power and Emily Martinez from the NYC Department of Health and Mental Hygiene. Danya and Emily gave some great perspectives on sources of government data, ethical uses of data, and privacy.

The ChangelogThe Changelog #423

Coding without your hands

What do you do when you make a living typing on a keyboard, but you can no longer do that for more than a few minutes at a time? Switch careers?! Not Josh Comeau. He decided to learn from others who have come before him and develop his own solution for coding without his hands. Spoiler Alert: he uses weird noises and some fancy eye tracking tech.

On this episode Josh tells us all about the fascinating system he developed, how it changed his perspective on work & life, and where he’s going from here. Plus we mix in some CSS & JS chat along the way.

Practical AIPractical AI #115

From research to product at Azure AI

Bharat Sandhu, Director of Azure AI and Mixed Reality at Microsoft, joins Chris and Daniel to talk about how Microsoft is making AI accessible and productive for users, and how AI solutions can address real world challenges that customers face. He also shares Microsoft’s research-to-product process, along with the advances they have made in computer vision, image captioning, and how researchers were able to make AI that can describe images as well as people do.

Go TimeGo Time #158

Play with Go

Play with Go is a set of hands-on, interactive tutorials for learning the tools used while programming in Go. In this episode we are joined by its creators, Paul Jolly and Marcos Nils, as we learn more about what motivated the creation of the project, what technology it was built on, and how you can help contribute additional guides to help your fellow gophers!

The ChangelogThe Changelog #422

Growing as a software engineer

Gergely Orosz joined Adam for a conversation about his journey as a software engineer. Gergely recently stepped down from his role as Engineering Manager at Uber to pursue his next big thing. But, that next big thing isn’t quite clear to him yet. So, in the meantime, he has been using this break to write a few books and blog more so he can share what he’s learned along the way. He’s also validating some startup ideas he has on platform engineering. His first book is available to read now — it’s called The Tech Resume Inside Out and offers a practical guide to writing a tech resume written by the people who do the resume screening. Both topics gave us quite a bit to talk about.

Practical AIPractical AI #114

The world's largest open library dataset

Unsplash has released the world’s largest open library dataset, which includes 2M+ high-quality Unsplash photos, 5M keywords, and over 250M searches. They have big ideas about how the dataset might be used by ML/AI folks, and there have already been some interesting applications. In this episode, Luke and Tim discuss why they released this data and what it take to maintain a dataset of this size.

Practical AIPractical AI #113

A casual conversation concerning causal inference

Lucy D’Agostino McGowan, cohost of the Casual Inference Podcast and a professor at Wake Forest University, joins Daniel and Chris for a deep dive into causal inference. Referring to current events (e.g. misreporting of COVID-19 data in Georgia) as examples, they explore how we interact with, analyze, trust, and interpret data - addressing underlying assumptions, counterfactual frameworks, and unmeasured confounders (Chris’s next Halloween costume).

Founders TalkFounders Talk #73

Balancing business and open source

Raj Dutt is the founder and CEO of Grafana Labs. Grafana has become the world’s most popular open source technology used to compose observability dashboards (we use Grafana here at Changelog). Raj and team are 100% focused on building a sustainable business around open source. They have this “big tent” open source ecosystem philosophy that’s driving every aspect of building their business around their open source, as well as other projects in the open source community. But, to understand the wisdom Raj is leading with today, we have to go back to where things got started. To do that we had to go back like Prince to 1999…

The ChangelogThe Changelog #421

The future of Mac

We have a BIG show for you today. We’re talking about the future of the Mac. Coming off of Apple’s “One more thing.” event to launch the Apple M1 chip and M1 powered Macs, we have a two part show giving you the perspective of Apple as well as a Mac app developer on the future of the Mac.

Part 1 features Tim Triemstra from Apple. Tim is the Product Marketing Manager for Developer Technologies. He’s been at Apple for 15 years and the team he manages is responsible for developer tools and technologies including Xcode, Swift Playgrounds, the Swift language, and UNIX tools.

Part 2 features Ken Case from The Omni Group. Ken is the Founder and CEO of The Omni Group and they’re well known for their Omni Productivity Suite including OmniFocus, OmniPlan, OmniGraffle, and OmniOutliner – all of which are developed for iOS & Mac.

Practical AIPractical AI #112

Building a deep learning workstation

What’s it like to try and build your own deep learning workstation? Is it worth it in terms of money, effort, and maintenance? Then once built, what’s the best way to utilize it? Chris and Daniel dig into questions today as they talk about Daniel’s recent workstation build. He built a workstation for his NLP and Speech work with two GPUs, and it has been serving him well (minus a few things he would change if he did it again).

The ChangelogThe Changelog #420

The Kollected Kode Vicious

We’re joined by George Neville-Neil, aka Kode Vicious. Writing as Kode Vicious for ACMs Queue magazine, George Neville-Neil has spent the last 15+ years sharing incisive advice and fierce insights for everyone who codes, works with code, or works with coders. These columns have been among the most popular items published in ACMs Queue magazine and it was only a matter of time for a book to emerge from his work. His book, The Kollected Kode Vicious, is a compilation of the most popular items he’s published over the years, plus a few extras you can only find in the book. We cover all the details in this episode.

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