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Practical AI Practical AI #108

Productionizing AI at LinkedIn

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2020-10-13T15:00:00Z #ai +1 šŸŽ§ 10,872

Suju Rajan from LinkedIn joined us to talk about how they are operationalizing state-of-the-art AI at LinkedIn. She sheds light on how AI can and is being used in recruiting, and she weaves in some great explanations of how graph-structured data, personalization, and representation learning can be applied to LinkedInā€™s candidate search problem. Suju is passionate about helping people deal with machine learning technical debt, and that gives this episode a good dose of practicality.

Practical AI Practical AI #119

Accelerating ML innovation at MLCommons

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2021-01-19T15:30:00Z #ai +1 šŸŽ§ 10,863

MLCommons launched in December 2020 as an open engineering consortium that seeks to accelerate machine learning innovation and broaden access to this critical technology for the public good. David Kanter, the executive director of MLCommons, joins us to discuss the launch and the ambitions of the organization.

In particular we discuss the three pillars of the organization: Benchmarks and Metrics (e.g. MLPerf), Datasets and Models (e.g. Peopleā€™s Speech), and Best Practices (e.g. MLCube).

Practical AI Practical AI #129

Going full bore with Graphcore!

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2021-04-13T19:15:00Z #ai +4 šŸŽ§ 10,851

Dave Lacey takes Daniel and Chris on a journey that connects the user interfaces that we already know - TensorFlow and PyTorch - with the layers that connect to the underlying hardware. Along the way, we learn about Poplar Graph Framework Software. If you are the type of practitioner who values ā€˜under the hoodā€™ knowledge, then this is the episode for you.

Ship It! Ship It! #46

A simpler alternative to cert-manager

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2022-03-31T16:40:00Z #ops +2 šŸŽ§ 10,835

Nabeel Sulieman, Senior Software Engineer at Vercel, talks about KCert, a simpler alternative to cert-manager that he built. Gerhard tried it out, and he thinks that Nabeel is onto something. If you want to see the video that they recorded, ping us on Twitter or Slack.

We love this story, especially the long-term approach of working on something that one truly believes in, and the only reason is because itā€™s fun. The world needs more people like Nabeel, and we hope that this episode inspires you to go all out, and do just that.

Practical AI Practical AI #127

Women in Data Science (WiDS)

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2021-03-30T18:30:00Z #ai +3 šŸŽ§ 10,827

Chris has the privilege of talking with Stanford Professor Margot Gerritsen, who co-leads the Women in Data Science (WiDS) Worldwide Initiative. This is a conversation that everyone should listen to. Professor Gerritsenā€™s profound insights into how we can all help the women in our lives succeed - in data science and in life - is a ā€˜must listenā€™ episode for everyone, regardless of gender.

JS Party JS Party #318

Off to see the Wiz

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2024-04-11T19:45:00Z #javascript +2 šŸŽ§ 10,824

How does Google build Search? What about YouTube and Google Drive? We rely on Chromeā€™s Lighthouse scores when optimizing our websites, but what does Google prioritize? Recently the Angular and Wiz teams announced their intention to responsibly merge their internal frontend framework, Wiz, with Angular to bring some of Wizā€™s best ideas to Angular. Weā€™re chatting with Minko from Angular and Jatin from the Wiz team to learn about how Wiz has been used in Google historically, what itā€™s good at, and why itā€™s worth bringing some of its ideas to Angular.

JS Party JS Party #113

Fullstack D3

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2020-02-07T19:45:00Z #javascript +1 šŸŽ§ 10,811

The State of JS 2019 survey left many in awe of the beautifully rendered line graph created by Amelia Wattenberger. So weā€™ve brought her on JS Party to discuss how she built it!

Weā€™ll chat about all things D3, a JavaScript library for creating data visualizations, and even learn a bit about the CSS cascade.

JS Party JS Party #111

Lesser known things browsers can do in 2020

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2020-01-24T16:15:11Z #javascript +1 šŸŽ§ 10,808

Did you know you can make a device vibrate via a webpage? Neither did we until we popped open Luigi De Rosaā€™s super cool repo that collects many of the lesser known things browsers can do in 2020.

On this episode we hang out on his list and discuss which APIs were surprises to us, which we think are the most useful, which we wish would die in a fire (sorta), and what you might get if you mash up a few of these APIs.

Practical AI Practical AI #114

The world's largest open library dataset

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2020-12-01T14:30:00Z #ai +2 šŸŽ§ 10,804

Unsplash has released the worldā€™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 AI Practical AI #113

A casual conversation concerning causal inference

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2020-11-24T14:45:00Z #ai +3 šŸŽ§ 10,784

Lucy Dā€™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 (Chrisā€™s next Halloween costume).

JS Party JS Party #327

Polypane-demonium

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2024-06-20T19:30:00Z #javascript +1 šŸŽ§ 10,780

Polypane purveyor Kilian Valkhof joins Nick & Jerod to tell us all about his efforts building a web browser just for web development. We cover it all: from the business concerns, to the technical details, to his excellent choice not to use TypeScript! We even sneak in a feature request that already made its way into this excellent dev tool for ambitious web developers.

Ship It! Ship It! #45

Swiss Quality Assurance

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2022-03-23T19:00:00Z #ops +2 šŸŽ§ 10,744

Pia Wiedermayer, Lead QA at ZĆ¼hlke, is talking with Gerhard today about software quality. If the name sounds familiar, check out episode 28. Thank you Romano for the introduction šŸ‘‹šŸ»

Do you remember the last time that you used an app, whether it was in the browser or on your mobile, and everything just worked? What about that intuitive feel, snappiness and you achieving the task that you intended to without feeling that you are fighting tech? Experiences like those take a lot of effort across multiple disciplines. They are designed, built and maintained over long periods of time. It all starts with people like Pia that really care about quality. Itā€™s so much more than just automated testingā€¦

Go Time Go Time #93

If you've never been to GopherCon...

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2019-08-05T16:00:00Z #go +1 šŸŽ§ 10,742

Jon, Mark, Johnny, and special guest Jamal Yusuf discuss what to expect when attending a conference like GopherCon. What should you be doing before you attend GopherCon? What should you bring to the conference? What shouldnā€™t you bring? What are the training sessions about? What about the hacking sessions and talking with the Go team? What if you donā€™t know anyone?

JS Party JS Party #94

Ohhh! Caching!!

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2019-09-20T11:00:00Z #javascript šŸŽ§ 10,742

The gang gets together to catch you up on whatā€™s new & noteworthy in the community. Then we share a few things weā€™ve learned recently in our first-ever ā€œToday I Learnedā€ segment. Finally, we wrap it up with things weā€™re excited about.

Practical AI Practical AI #105

When AI goes wrong

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2020-09-14T22:00:00Z #ai +2 šŸŽ§ 10,691

So, you trained a great AI model and deployed it in your app? Itā€™s smooth sailing from there right? Well, not in most peopleā€™s experience. Sometimes things goes wrong, and you need to know how to respond to a real life AI incident. In this episode, Andrew and Patrick from BNH.ai join us to discuss an AI incident response plan along with some general discussion of debugging models, discrimination, privacy, and security.

Ship It! Ship It! #87

Why we switched to serverless containers

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2023-01-26T14:35:00Z #serverless +1 šŸŽ§ 10,497

Last September, at the šŸ‡ØšŸ‡­ Swiss Cloud Native Day, Florian Forster, co-founder & CEO of ZITADEL, talked about why they switched to serverless containers. ZITADEL has a really interesting workload that is both CPU intensive and latency sensitive. On top of this, their users are global, and traffic is bursty. Florian talks about how they evaluated AWS, GCP & Azure before they settled on the platform that met their requirements.

Practical AI Practical 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 Microsoftā€™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.

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