Podcasts about di dang

Byke again, now is the incredible home for Sophisticated Tomfoolery. This week C-Hova and the Wyld Gents talk about Kyrie Irving and how the pandemic misinformation may be hurting the black community. Dookie has some hesitation about the upcoming VZ between two hip-hop legends, and we take a brief moment to discuss Squid Game and that final scene. All that and so much more on this weeks episode. #ShareDopeShit Crew54 ft Alpha 2020 - Feel Me

Started 10 years ago with 1 seafood restaurant.They've grown to 6 different restaurants.Di was a professional poker player until he decided to get into the restaurant worldTuyet Nhi was part of the original founding team for HEHG Quotes “The health focus has always been a part of our identity” - Tuyet Nhi Notes Inspired by Danny Meyer in the beginning. Read the book “Setting the Table”.One of the themes in the book is “No matter what happens, you always write the ending”. For example, if a guest has a bad experience, you write the ending. You get the chance to make it right. Tony Hsieh - founder of Link Exchange. His book is “Delivering Happiness”. Delivering happiness to all of his customers and all of his employees. They read his book and it became a part of their culture.Radical Candor is a book that all management team is required to read. Their culture is inspired by Google cultureExpansion plans are in the future. A big project is coming at the end of the yearMenu Item final mealsTuyet Nhi - Roll Play phoDi - Chasin' Tails w/ Au Dang Sauce and fried basket of calamari Teas n You bubble teaHehfood.com, @chasintailsss, @rollplaygrill, @teasnyoutea, @happyenedingseatery, @leidpoke

Di Dang is an emerging tech design advocate at Google and helped lead the creation of Google’s People + AI Guidebook. In her role, she works with product design teams, external partners, and end users to support the creation of emerging tech experiences. She also teaches a course on immersive technology at the School of Visual Concepts. Prior to these positions, Di worked as an emerging tech lead and senior UX designer at POP, a UX consultant at Kintsugi Creative Solutions, and a business development manager at AppLift. She earned a bachelor of arts degree in philosophy and religious studies from Stanford University. Join Brian and Di as they discuss the intersection of design and human-centered AI and: Why a data science leader should care about design and integrating designers during a machine-learning project, and the impacts when they do not What exactly Di does in her capacity as an emerging tech design advocate at Google and the definition of human-centered AI How design helps data science teams save money and time by elucidating the problem space and user needs The two key purposes of Google’s People + AI Research (PAIR) team What Google’s triptych methodology is and how it helps teams prevent building the wrong solution A specific example of how user research and design helped ship a Pixel 2 feature How to ensure an AI solution is human-centered when a non-tech company wants to build something but lacks a formal product manager or UX lead/resource The original goals behind the creation of Google’s People + AI Guidebook The role vocabulary plays in human-centered AI design Resources and Links Twitter: @Dqpdang Di Dang’s Website Di Dang on LinkedIn People + AI Guidebook Quotes from Today's Episode “Even within Google, I can't tell you how many times I have tech leaders, engineers who kind of cock an eyebrow at me and ask, ‘Why would design be involved when it comes to working with machine learning?’” — Di “Software applications of machine learning is a relatively nascent space and we have a lot to learn from in terms of designing for it. The People + AI Guidebook is a starting point and we want to understand what works, what doesn't, and what's missing so that we can continue to build best practices around AI product decisions together.” — Di “The key value proposition that design brings is we want to work with you to help make sure that when we're utilizing machine learning, that we're utilizing it to solve a problem for a user in a way that couldn't be done through other technologies or through heuristics or rules-based programming—that we're really using machine learning where it's most needed.” — Di “A key piece that I hear again and again from internal Google product teams and external product teams that I work with is that it's very, very easy for a lot of teams to default to a tech-first kind of mentality. It's like, ‘Oh, well you know, machine learning, should we ML this?’ That's a very common problem that we hear. So then, machine learning becomes this hammer for which everything is a nail—but if only a hammer were as easy to construct as a piece of wood and a little metal anvil kind of bit.” — Di “A lot of folks are still evolving their own mental model around what machine learning is and what it's good for. But closely in relation—because this is something that I thin

Hosts new and old gather together for this special episode of the podcast! We’ll talk about our favorite episodes of the year, the coolest things from 2019, and wrap up another great year together doing what we love! Happy Holidays to all of our listeners, and we’ll see you in the new year! Top episodes of the year GCP Podcast Episode 173: Cloud Run with Steren Giannini and Ryan Gregg podcast GCP Podcast Episode 165: Python with Dustin Ingram podcast GCP Podcast Episode 175: MongoDB with Andrew Davidson podcast GCP Podcast Episode 160: Knative with Mark Chmarny and Ville Aikas podcast GCP Podcast Episode 180: Firebase with Jen Person podcast GCP Podcast Episode 164: Node.js with Myles Borins podcast GCP Podcast Episode 174: Professional Services with Ann Wallace and Michael Wallman podcast GCP Podcast Episode 176: Human-Centered AI with Di Dang podcast GCP Podcast Episode 168: NVIDIA T4 with Ian Buck and Kari Briski podcast GCP Podcast Episode 163: Cloud SQL with Amy Krishnamohan podcast Favorite episodes of the year Mark Mirchandani’s Favorites: GCP Podcast Episode 193: Devoted Health and Data Science with Chris Albon podcast GCP Podcast Episode 177: Primer with John Bohannon podcast GCP Podcast Episode 202: Supersolid with Kami May podcast Mark Mandel’s Favorites: GCP Podcast Episode 186: Blockchain with Allen Day podcast GCP Podcast Episode 196: Phoenix Labs with Jesse Houston podcast Jon’s Favorites: GCP Podcast Episode 199: Data Visualization with Manuel Lima podcast GCP Podcast Episode 196: Phoenix Labs with Jesse Houston podcast GCP Podcast Episode 206: ML/AI with Zack Akil podcast GCP Podcast Episode 201: FACEIT with Maria Laura Scuri podcast Gabi’s Favorites: GCP Podcast Episode 199: Data Visualization with Manuel Lima podcast GCP Podcast Episode 167: World Pi Day with Emma Haruka Iwao podcast GCP Podcast Episode 206: ML/AI with Zack Akil podcast GCP Podcast Episode 198: SeMI Technologies with Laura Ham podcast Favorite things of the year Mark Mirchandani’s Favorites: Cloud Run Mark Mandel’s Favorites: Stadia Samurai Shodown available on Stadia All the new podcast hosts! Jon’s Favorites: First time doing the podcast at NEXT and it was quite the experience. Going to Nvidia offices to do an episode Getting to talk to guests in the gaming industry and hear how passionate they are about the things they are building Joining the podcast Podcast outtakes! Gabi’s Favorites: Visited a bunch of offices! Joining the podcast Cloud NEXT talk, where my demo failed but I recovered! Spreading the love and joy of databases Where can you find us next? Mark Mirch’ will be sleeping as much as possible! Mandel will be working on plans for Next, GDC, and I/O 2020! Gabi will be running away to warm weather for her winter vacation! Jon will be home! He’ll also be planning gaming content for next year and wrapping up this year with some deep dives into multiplayer games and some possible content! Sound Effects Attribution “Small Group Laugh 4, 5 & 6” by Tim.Kahn of Freesound.org “Incorrect” by RicherLandTV of Freesound.org “Correct” by Epon of Freesound.org “Fireworks 3 Bursts” by AtomWrath of Freesound.org “Jingle Romantic” by Jay_You of Freesound.org “Dark Cinematic” by Michael-DB of Freesound.org “Bossa Loop” by Reinsamba of Freesound.org

Mark Mirchandani and Michelle Casbon take over the show this week to discuss AI and the PAIR Guidebook to Human-Centered AI. Mark Mandel pops in on the interview, and Di Dang, Design Advocate at Google, talks about her role in designing and building the guidebook with the intent of helping others create quality AI projects. Di describes human-centered AI as a practice of not only being conscious of the project being built, but also considering how this AI project will impact us as humans at the end of the day. We influence machine learning so much, both intentionally and unintentionally, and it’s our job to look at the project and results as a whole. In the guidebook, topics like data bias in machine learning, what design patterns work, how to establish trust with the user, and more are addressed. Di explains that the guidebook is a work in progress that will develop with input from users and advances in technology. Di Dang Di Dang recently joined Google’s Design Relations team as a Design Advocate supporting emerging technologies such as augmented reality and machine learning. Previously, she worked as a Senior UX Designer and led the Emerging Tech group at Seattle-based digital agency POP, advising clients on how VR/AR, web/mobile, conversational UI, and machine learning could benefit their end users. With a degree in Philosophy and Religion, she considers herself an optimistic realist who is passionate about ethical design. You can find Di onstage doing improv or on Twitter @dqpdang. Cool things of the week Bringing the best of open source to Google Cloud customers blog James Ward’s Cloud Run button site Michelle’s favorite codelabs from I/O TPU-speed data pipelines site Your first Keras model site Convolutional neural networks site Modern convnets, squeezenet, with Keras with TPUs site Interview People + AI Guidebook site PAIR site GCP Podcast Episode 114: Machine Learning Bias and Fairness with Timnit Gebru and Margaret Mitchell podcast Machine Learning Crash Course site Google Clips site Google Brain Team site Question of the week How do I get started with practical AI? Build an Appointment Scheduler Chatbot with Dialogflow Where can you find us next? Michelle will be at Google I/O and Kubecon Europe. No I/O event in your area? You can host one!

Subscribe to the podcast using: iTunes | Stitcher | SoundCloud   This episode features an interview with Di Dang, New Technologies Design Advocate at Google Brought to you by our sponsor: Fluxible 2018 00:00 Intro Theme 00:11 Introductions/Interview with Di Dang, New Technologies Design Advocate at Google Links / topics mentioned: Philosophy Religion Standford University Gartner Hype […]

Ep. #9: Many UX practitioners are interested in transitioning into emerging technology but aren’t sure where to start, or what that path looks like. In this episode we’re talking about the practical aspects of getting into augmented, virtual, or mixed reality, with Di Dang, who’s a UX specialist in AR/VR, and leads an emerging tech department at POP agency in Seattle. See acast.com/privacy for privacy and opt-out information.

Being more attentive to inclusion is helping Julie Copley and her colleagues at Pop improve their clients' websites. Julia Copley is a connections strategist at POP, a Seattle-based digital agency. She helps clients prepare for the future and incorporate emerging technology to their existing portfolios. Previous clients include Microsoft, Adobe, eBay, The Home Depot, and BMW's ReachNow. Video Here's the video version of our conversation: https://youtu.be/2HyvGH7IdnY Transcript This current version is not a word-for-word transcript, just my raw notes from my first listen-through of our conversation. 0:48 "connections strategist" - evolution to this title was natural growth over 18 months at Pop - began as content strategist working on a project for Adobe - started as straightforward content strategy - quickly clear that she brought a broader perspective 2:15 Adobe product line launch - agency "quick hit" success - competitive analysis of market - how to improve 3:15 context of project in bigger Adobe site - how new product diverged from existing Adobe content 4:20 UX background - and product designer - "connections" as defined at Pop is another layer on top of those - she's a liberal arts major and generalist - has always been a generalist 6:10 reference to Jared Spool's "unicorn" talk in Seattle several years ago - importance of being a generalist but also specializing in a content strategy/UX role 7:20 understanding in aggregate who your personas are - where to find them - where client's target audience fits in client's goals - way she works as connections strategist: do the research, build out a channel connections plan, put it in market, test it 9:00 inclusion in product design, how to improve inclusivity in persona development and product design: 0. have the mindset that you are not the baseline; your customer is 1. ongoing challenge of building more inclusive personas - industry as whole figuring it out - how to make life easier/products better - often building for C-suite/Director level folks - how to leverage that learning to reach more people - we're tech savvy early adopters, able to navigate better with this tech - Di Dang and she trying to raise idea that early adopters are just one part of the market [here's a slide [[[ demographics slide Julia Copley SIC ]]] from her SIC talk deck that shows some of this data] Boomers, e.g., big market but can't reach them as you would early adopters 14:30 client work iterating on targeted demo - validate assumptions: are personas based on validated data? - e.g., recent project on luxury brand used Audience View tool [link - account required to use tool] to show to client new customer opportunities that they might want to go after - e.g. folks who not normally luxury targets but have one-time luxury event 17:45 building institutional capability of broadened awareness - "demographics are destiny" - indeed much of life set by your generation - Millennials - Gen Z - et al 19:45 demographic axes - awareness of different dimensions - slow change in racial diversity generationally - one or two percentage points per generation - but more of a mentality of expecting diversity in younger generations - social media influence on this dynamic - feels weird when you don't see diversity represented 22:50 personas in web product development - aim for fewer than 5 - can be aware of more but gotta prioritize - 3 is pretty standard in her experience - different message for each demo and in each channel - Facebook, etc. 24:20 tailoring messages for different media channel - and these messages as a content type - don't write too early - brand look, feel, and voice first and then write the tailored messages - ID who folks are, where they hang out, what are their assumptions, and then align with brand position - ALL of this in place before you write the user-facing content 26:15 campaign work vs branding work - they do both at Pop - bread and butter ...

First movie experience you remember, Skittly, Dong, Dong, Di Dang, embarrassing puberty stories, and the guy who got banned from the supermarket