Podcasts about Machine learning

Support the show: https://www.buymeacoffee.com/datascienceharp Find Nick online: https://www.nicksingh.com/ Watch the video of this episode: https://youtu.be/7fzOYBkTHDM Memorable Quotes from the show: [00:12:47] "The part of math that I was interested in wasn't that crazy, crazy theoretical math. It was just like, Oh, how can we use data to drive better decisions? Like how can simple statistics and computing metrics and just keeping track of shit using numbers? How can that help build better products or build better systems? And that's what I learned in systems engineering. Combine that with some of my CS classes, which got me into a little bit more machine learning, and then it started clicking in my head of like, Oh, this data thing is really cool." Hightlights of the show: [00:00:40] Guest Introduction [00:03:26] Talk to us a little bit about where you grew up and what it was like there. [00:07:57] What is it about us (of Indian heritage) and software and data science? [00:09:11] Was there something you were always good at? Did you think you were ever going to be an author? [00:11:03] Was data science something that you were exposed to when you're young? [00:13:57] What is the business side of data? Please paint that picture for us. [00:19:22] Is it better to have blank space on a resume than neutral information? [00:23:34] LTalk to us about what this philosophy is for projects. [00:31:57] How do we demonstrate business value with a project, especially if we don't have on the job experience and are doing a project to demonstrate our technical ability? [00:39:20] You talk about cold emailing in your book. Is that just when someone messages somebody highly ranked on LinkedIn and leave it at that? [00:40:50] Let's say somebody sees this awesome job on LinkedIn and then started looking for people in that company. Should they go and message an individual contributor, data scientist and have them look at their profile or send a message to the CEO? Like who on the spectrum do they reach out to? [00:46:03] It is noticed that a lot of people that are new to the industry are new data scientists who are all up in their head thinking oh, man, like math and everything, thinking all about algorithms and their sleep. They think that these behavioral interview questions are just fluffy bullshit. Why do you think folks have this misconception? [00:50:10] You talk about a framework in the book at a high level. Can you share a bit of that framework for how you would answer that question (where the star format doesn't apply)? [00:52:34] Would you rather mention your knity gritty experiences from the past in an interview or do mention a little of a role that you played in math or astrophysics. Say that you're trying to get into a machine learning engineer role, can you share your response to that question with us here? [00:55:12] Auditing the "tell me about yourself" question. [01:04:50] What does product sense mean? What is it? Why are people afraid of it? Why does it seem like such a difficult skill? [01:11:35] What's the number one product sense question that you see being asked? [01:14:36] It is it's 100 years in the future. What do you want to be remembered for? Random Round [01:16:18] What do most people think? Within the first few seconds of meeting you for the first time. [01:16:47] You have this awesome blog post about books that you always bring up in conversations. One of them is written by probably my absolute favorite authors and one of my favorite books. That's Antifragile by Nassim Taleb. Talk to us about the three main takeaways you've gotten from that book. [01:21:19] What are you currently reading? [01:24:23] First question what makes you cry? [01:24:41] If you were a vegetable, what vegetable would you be? [01:24:50] What have you created that you're most proud of? [01:25:33] What's the best piece of advice you have ever received? [01:26:54] If you lost all of your possessions but one, what would you want it to be? [01:27:29] Do you ever sing When You're Alone? [01:27:52] What's your favorite candy? Don't forget to register for regular office hours by The Artists of Data Science: http://bit.ly/adsoh Register for Sunday Sessions here: http://bit.ly/comet-ml-oh Listen to the latest episode: https://player.fireside.fm/v2/eac-KT9/latest?theme=dark The Artists of Data Science Social links: Support the show: https://www.buymeacoffee.com/datascienceharp YouTube: https://www.youtube.com/c/HarpreetSahotaTheArtistsofDataScience Instagram: https://www.instagram.com/datascienceharp Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/datascienceharp

Can you imagine a future where contacting customer service does not elicit a groan or sigh of despair? This is the future that CEO Rowan Trollope is creating at Five9. Their cloud-based platform integrates modern AI and machine learning to efficiently intake customer problems and match them to effective customer solutions. Saving the business world almost a quarter of a trillion dollars annually in customer service costs is the goal and hiring for intellectual curiosity is part of the solution. Tune in to learn:What is Five9 and what does it do? (6:45)How we all benefit from fully integrated and automated customer service solutions. (8:55)How can the learnings of one industry serve all others by using AI? (17:11)How is machine learning empowering the democratization of technology through no-code solutions like Five9?  (22:35)How do we hire for the problems of the future? (31:23)How radically and how quickly can the customer service aspect of all businesses be transformed? (38:59)IT Visionaries is brought to you by  Salesforce Platform. If you love the thought leadership on this podcast, Salesforce has even more meaty IT thoughts to chew on. Take your company to the next level with in-depth research and trends right in your inbox. Subscribe to a newsletter tailored to your role at Salesforce.com/newsletter.Mission.org is a media studio producing content for world-class clients. Learn more at mission.org.

In dieser Folge erklärt uns Dr. Maria Börner von Adap, welche Rolle Open Source bei Federated Learning spielt und wie sie und ihr Team erste Use Cases aufsetzen. Mittlerweile zählt das Framework zu den meist genutzten Anwendungen im Federated Learning. Wir danken unserem neuen Partner Katulu https://katulu.io/de/ Zu unserem Interviewpartner: https://www.linkedin.com/in/maria-boerner/ Noch mehr KI in der Industrie? https://kipodcast.de/podcast-archiv Oder unser Buch KI in der Industrie: https://www.hanser-fachbuch.de/buch/KI+in+der+Industrie/9783446463455 Aus unserem aktuellen Teil: Event auf der HANNOVER MESSE: https://www.hannovermesse.de/veranstaltung/ki-in-der-industrie-anwendungen-modelle-infrastruktur/pan/101424 Ankur Bhatt sucht einen Job: https://www.linkedin.com/in/ankur-bhatt-7916a7152/

Explicamos cómo se ha fraguado la decisión de cambiar los iPhone a USB-C, un fichaje que ha sido esperado muchos, muchos años. Patrocinador: El CTO Summit de GeeksHub vuelve con más fuerza que nunca. El evento clave para todos los responsables de equipos de IT se celebra el 24 y 25 de junio en Valencia, y este año va a ser impresionante por la calidad de las ponencias, las charlas y en general un programa lleno de cosas interesantes. — Con el código MIXX45 consigue tu entrada con un 45% de descuento. Explicamos cómo se ha fraguado la decisión de cambiar los iPhone a USB-C, tanto desde la presión gubernamental como desde la más obvia necesidad técnica. Será en 2023 o será el año siguiente, pero el fichaje llegará. Hablamos también sobre los cascos de realidad virtual de Apple, cómo no. Ian Goodfellow, Former Apple Director of Machine Learning, to Join DeepMind - Bloomberg Apple (AAPL) Delays Plan to Have Workers in Office Three Days a Week - Bloomberg China ordena al Gobierno y empresas estatales deshacerse de PCs extranjeras BMW ships cars without Apple, Google tech | Automotive News Europe Common external power supply - Wikipedia Common charger: MEPs agree on proposal to reduce electronic waste | News | European Parliament USB-C makes sense for iPhone, does it finally make sense for Apple? | iMore Puedes ponerte en contacto con nosotros por correo en: alex@barredo.es Suscríbete al boletín de información diario en https://newsletter.mixx.io Escucha el podcast diario de información tecnológica en https://podcast.mixx.io Nuestro grupo de Telegram: https://t.me/mixxiocomunidad

About Nate Joens:CO-FOUNDER AT STRUCTURELY

In this episode of Intel on AI host Amir Khosrowshahi talks with Joshua Tucker about using artificial intelligence to study the influence social media has on politics. Joshua is professor of politics at New York University with affiliated appointments in the department of Russian and Slavic Studies and the Center for Data Science. He is also the director of the Jordan Center for the Advanced Study of Russia and co-director of the Center for Social Media and Politics. He was a co-author and editor of an award-winning policy blog at The Washington Post and has published several books, including his latest, where he is co-editor, titled Social Media and Democracy: The State of the Field, Prospects for Reform from Cambridge University Press. In the podcast episode, Joshua discusses his background in researching mass political behavior, including Colored Revolutions in Eastern Europe. He talks about how his field of study changed after working with his then PhD student Pablo Barberá (now a professor at the University of Southern California), who proposed a method whereby researchers could estimate people's partisanship based on the social networks in which they had enmeshed themselves. Joshua describes the limitations researchers often have when trying to study data on various platforms, the challenges of big data, utilizing NYU's Greene HPC Cluster, and the impact that the leak of the Facebook Papers had on the field. He also describes findings regarding people who are more prone to share material from fraudulent media organizations masquerading as news outlets and how researchers like Rebekah Tromble (Director of the Institute for Data, Democracy and Politics at George Washington University) are working with government entities like the European Union on balancing public research with data privacy. The episode closes with Amir and Joshua discussing disinformation campaigns in the context of the Russo-Ukrainian War. Academic research discussed in the podcast episode: Birds of the Same Feather Tweet Together: Bayesian Ideal Point Estimation Using Twitter Data. Tweeting From Left to Right: Is Online Political Communication More Than an Echo Chamber?

Today's episode features an interview between Matt Trifiro and Rob Tiffany, Executive Director at the Moab Foundation, and Founder and Managing Director at Digital Insights. A bestselling author and frequent keynote speaker, Rob serves on multiple boards and is routinely ranked as one of the top IoT experts and influencers in the world by Inc Magazine, Onalytica and other outlets.In this episode we delve deep into how Rob went from a life of driving submarines, to being self taught in technology, and eventually becoming a leader in the world of IoT. Rob explains the value of IoT and the best ways to sell and explain it to the average person in real world terms, so they understand how embracing technology can save them time and money. Finally, Rob talks about how edge computing, IoT, and automation can be used to help with sustainability around the globe.---------Key Quotes:“All that R&D and the rise of arm based processors are making things smaller that we would not have ever built. The chips, the sensors, the technology at a low cost - if it wasn't for this mega trend of smartphones forcing us down that path. And so a side effect of all this work, and you know how things like the most expensive version of the thing you make is the first version. And then it gets cheaper and cheaper. Well, IOT,  the thing part of it, the device side of it, benefited from the whole planet going all in on smartphones.”“When I talk about IOT and value, I try to stay away from saying AI and things like that. And I say, there is so much value just doing the stupid stuff, the low hanging fruit. I think we oftentimes do our customers a disservice because I hear people say IOT and AI in the same sentence over and over again. And I go, you know what, you really need to get in your car and I need you to drive to Omaha, Nebraska. I need you to drive to St. Louis. I need you to go to Oklahoma City, and I need you to meet real people who are just trying to get their job done. And they have no idea about your neural nets and stuff like that. And they don't understand it. And I think we scare customers. It turns out what my experience, not only at building Azure IT, but even more importantly building Lumata industrial IoT at Hitachi; I'd say that first 10 to 20% of value, whatever that means, saving money, making money that comes from the easy stuff. It really does. Just being connected, just not having to visit simple KPIs, simple thresholding; like stuff that manufacturers have done for a million years. It turns out that's the most of the value.”"So my big recommendation to the world is start to crawl before you run. Do the basics, because it turns out you might get tons of value that you never realized just by doing the easy stuff first. Don't feel pressured to do something you don't even understand."“When you talk about poverty, it turns out most poverty and hunger are related to farming. They are all correlated. Most of the poorest people in the world are in farming, and they're also starving. So when you can start knowing, remotely knowing in real time and doing it low cost out there where it happens, and then combined with automation, what's the action I'm going to take to make this better for someone, right? There's so much you can do. It's mind boggling.”---------Show Timestamps:(01:12) Time in the Navy(03:25) Getting started in technology(04:06) Getting started in Visual Basic(04:29) Getting started in IoT Career(10:17) Defining the Internet of Things(15:77) Connection between IoT and Smartphones(17:33) Power of Wireless and IoT(19:09) Briefing others on IoT while at Microsoft(21:36) IoT and Value (25:05) Edge Computing(33:08) Alternatives to on premise equipment(34:49) Automation strategy (43:49) What makes edge harder than the cloud?(44:31) Edge, IoT, and Sustainability (47:50) Digital Twins--------Sponsor:Over the Edge is brought to you by Dell Technologies to unlock the potential of your infrastructure with edge solutions. From hardware and software to data and operations, across your entire multi-cloud environment, we're here to help you simplify your edge so you can generate more value. Learn more by visiting DellTechnologies.com/SimplifyYourEdge for more information or click on the link in the show notes.--------Links:Follow Matt on TwitterConnect with Rob on TwitterConnect with Rob on LinkedInwww.CaspianStudios.comRob's Website and Podcast

When you're applying AI from scratch, there are a few lessons to keep in mind. One that stands out is to ensure the machine learning solution is well suited to the problem. Here's the story of how we evolved our ML strategy at Upstart. Hear about how to apply AI in the lending environment from Leaders in Lending host Jeff Keltner, Senior Vice President of Business Development at Upstart: Challenges to overcome at the beginning stage of the ML journey Why feature engineering and first-party data build on each other The evolution of Upstart's underwriting model Shifting from manual to automatic identity verification How to attain more interesting predictions and apply them in the credit industry Mitigating risk with creativity More information about Jeff and today's topics: LinkedIn Profile: https://www.linkedin.com/in/jeffkeltner/  Company Website: https://www.upstart.com/  Ep. 41 - Back to Basics: AI Lending 101 w/ Jeff Keltner: https://podcasts.apple.com/us/podcast/back-to-basics-ai-lending-101/id1561389602?i=1000548218905 To hear more from Leaders in Lending, check us out on Apple Podcasts, Spotify, or on our website. Listening on a desktop & can't see the links? Just search for Leaders in Lending on your favorite podcast player.

Originally created to be an open domain conversational AI, your own ‘artificial BFF' that you could chat with when your real friends weren't available — fast forward six years, and Hugging Face is the leading Natural Language Processing (NLP) start-up. The company is currently valued at $2B with over 10,000 companies using the open-source AI platform - including Bing, Apple, and Monzo.Our guest, Clement Delangue, CEO of Hugging Face, believes in the sustainable long-term benefits of open-science and open-source collaboration and has built a community that fosters this goal. And while Hugging Face was initially mainly aimed at NLP, recently it is expanding to more machine learning domains, including computer vision and reinforcement learning. SUBSCRIBE TO THE ROBOT BRAINS PODCAST TODAY | Visit therobotbrains.ai and follow us on YouTube at TheRobotBrainsPodcast, Twitter @therobotbrains, and Instagram @therobotbrains. See acast.com/privacy for privacy and opt-out information.

Our 100th episode is spent with José Valim celebrating 10 years of Elixir. We close out our 5-part series talking about the recent 1.13 release, the upcoming 1.14 release and looking into the future and v2.0. We learn that many features were created with Nx in mind but are still broadly helpful to Elixir developers. José gives a 1-minute explanation of how ex_unit works, explains what usually makes it into a point release, and how adding stepped ranges meant changes to many Enum functions and so much more! In addition to Elixir, we talk about his journey with Dashbit and we end up learning how the song "The Final Countdown" by Europe might actually be teaching functional programming and recursion?? A super packed episode! Show Notes online - http://podcast.thinkingelixir.com/100 (http://podcast.thinkingelixir.com/100) Elixir Community News - https://news.livebook.dev/v0.6-automate-and-learn-with-smart-cells-mxJJe (https://news.livebook.dev/v0.6-automate-and-learn-with-smart-cells-mxJJe) – Livebook v0.6 released with new "Smart Cells" - https://twitter.com/josevalim/status/1524761086880276482 (https://twitter.com/josevalim/status/1524761086880276482) – Livebook Twitter thread - https://www.youtube.com/watch?v=4hVIxyHxwK8 (https://www.youtube.com/watch?v=4hVIxyHxwK8) – Livebook announcement and demonstration video - https://youtu.be/4hVIxyHxwK8?t=409 (https://youtu.be/4hVIxyHxwK8?t=409) – Time signature for talking about making custom Smart Cells - https://github.com/livebook-dev/nerves_livebook (https://github.com/livebook-dev/nerves_livebook) – Nerves Livebook v0.6 was also released - https://stackoverflow.blog/2022/05/11/stack-overflow-2022-developer-survey-is-open/ (https://stackoverflow.blog/2022/05/11/stack-overflow-2022-developer-survey-is-open/) – Stack Overflow - 2022 Developer Survey is open until June 1st. - https://meta.stackoverflow.com/questions/417991/take-the-2022-developer-survey (https://meta.stackoverflow.com/questions/417991/take-the-2022-developer-survey) – More information about the survey - https://twitter.com/DNAutics/status/1526358294016794624 (https://twitter.com/DNAutics/status/1526358294016794624) – Zig adds the ability to execute Javascript from Zig - https://github.com/wojtekmach/req (https://github.com/wojtekmach/req) – Wojtek Mach is working on Req and is adding some pretty cool features - https://github.com/wojtekmach/req_easyhtml (https://github.com/wojtekmach/req_easyhtml) - https://github.com/wojtekmach/req_hex (https://github.com/wojtekmach/req_hex) - https://twitter.com/wojtekmach/status/1525226000283467776 (https://twitter.com/wojtekmach/status/1525226000283467776) – Wojtek teasing a new Req feature - https://twitter.com/wojtekmach/status/1525972732680232960 (https://twitter.com/wojtekmach/status/1525972732680232960) – Wojtek teasing another new Req feature - https://www.youtube.com/playlist?list=PLyO-58-sOapwMYqvLRtvV8AGPdREu5Wg7 (https://www.youtube.com/playlist?list=PLyO-58-sOapwMYqvLRtvV8AGPdREu5Wg7) – Empex MTN presentation videos are up! - https://www.elixirconf.eu/ (https://www.elixirconf.eu/) – ElixirConf EU in London on June 9-10 - https://elixirconf.com/events (https://elixirconf.com/events) – ElixirConf US in Colorado on August 30 - Sep 2 Do you have some Elixir news to share? Tell us at @ThinkingElixir (https://twitter.com/ThinkingElixir) or email at show@thinkingelixir.com (mailto:show@thinkingelixir.com) Discussion Resources - https://podcast.thinkingelixir.com/82 (https://podcast.thinkingelixir.com/82) – Reviewing Elixir with José Valim - Part 1 - https://podcast.thinkingelixir.com/87 (https://podcast.thinkingelixir.com/87) – Reviewing Elixir with José Valim - Part 2 - https://podcast.thinkingelixir.com/91 (https://podcast.thinkingelixir.com/91) – Reviewing Elixir with José Valim - Part 3 - https://podcast.thinkingelixir.com/96 (https://podcast.thinkingelixir.com/96) – Reviewing Elixir with José Valim - Part 4 - https://github.com/elixir-lang/elixir/blob/v1.13/CHANGELOG.md (https://github.com/elixir-lang/elixir/blob/v1.13/CHANGELOG.md) – v1.13 - https://podcast.thinkingelixir.com/60 (https://podcast.thinkingelixir.com/60) – 60 - Compile Faster with Marc-André Lafortune - mix xref trace FILE - https://podcast.thinkingelixir.com/54 (https://podcast.thinkingelixir.com/54) – AST Parsing using Sourceror with Lucas San Román - New power operator "**" - mix test supports --profile-require=time - https://github.com/elixir-lang/elixir/blob/main/CHANGELOG.md (https://github.com/elixir-lang/elixir/blob/main/CHANGELOG.md) – v1.14 - Dashbit as a company and growth over time. - Elixir v2.0? - https://podcast.thinkingelixir.com/54 (https://podcast.thinkingelixir.com/54) – AST Parsing using Sourceror with Lucas San Román - https://talonvoice.com/ (https://talonvoice.com/) - https://www.erlang.org/eeps/eep-0054.html (https://www.erlang.org/eeps/eep-0054.html) - https://www.elixirconf.eu/ (https://www.elixirconf.eu/) – ElixirConf EU - hybrid conference 9-10 June 2022 - https://livebook.dev/ (https://livebook.dev/) - https://github.com/elixir-nx/explorer (https://github.com/elixir-nx/explorer) - https://github.com/elixir-nx/scholar (https://github.com/elixir-nx/scholar) - https://github.com/elixir-nx/axon/ (https://github.com/elixir-nx/axon/) - https://podcast.thinkingelixir.com/95 (https://podcast.thinkingelixir.com/95) – Rustler Precompiled with Philip Sampaio - https://github.com/lukaszsamson (https://github.com/lukaszsamson) - https://github.com/elixir-lsp/elixir-ls (https://github.com/elixir-lsp/elixir-ls) - https://github.com/elixir-lang/elixir/issues?q=is%3Aopen+is%3Aissue+milestone%3Av2.0 (https://github.com/elixir-lang/elixir/issues?q=is%3Aopen+is%3Aissue+milestone%3Av2.0) - https://www.youtube.com/watch?v=9jK-NcRmVcw (https://www.youtube.com/watch?v=9jK-NcRmVcw) – Europe - The Final Countdown Guest Information - https://twitter.com/josevalim (https://twitter.com/josevalim) – on Twitter - https://github.com/josevalim (https://github.com/josevalim) – on Github - https://dashbit.co/ (https://dashbit.co/) – Dashbit website and blog - https://erlef.org/news/ (https://erlef.org/news/) – The Erlang Ecosystem Foundation news Find us online - Message the show - @ThinkingElixir (https://twitter.com/ThinkingElixir) - Email the show - show@thinkingelixir.com (mailto:show@thinkingelixir.com) - Mark Ericksen - @brainlid (https://twitter.com/brainlid) - David Bernheisel - @bernheisel (https://twitter.com/bernheisel) - Cade Ward - @cadebward (https://twitter.com/cadebward)

In today's episode we meet Matthias Heller, co-founder of Lightly, who is helping companies to build better machine learning models faster through better data. Matthias shares his insights that will help to save time and money on data selection and labelling, whilst at the same time improving the performance of models. Today, Lightly is used by Fortune 500 companies and startups in autonomous driving, robotics, video analytics and much more.

Introducing a special series about the power of decision intelligence. This series is brought to you by TEKsystems, an industry leader in Full-Stack Technology Services, Talent Services and real-world application. To help me discuss this topic, I'd like to welcome TEKsystems' senior practice director, Ramesh Vishwanathan.

Date: May 24, 2022Series: Your Daily MLThe daily episode of everything new in Machine Learning (cs.LG).List of papers:-1. https://arxiv.org/abs/2205.10666-2. https://arxiv.org/abs/2205.10490-3. https://arxiv.org/abs/2205.10816-4. https://arxiv.org/abs/2205.10837-5. https://arxiv.org/abs/2205.10627-6. https://arxiv.org/abs/2205.10390-7. https://arxiv.org/abs/2205.10768-8. https://arxiv.org/abs/2205.10671-9. https://arxiv.org/abs/2205.10369-10. https://arxiv.org/abs/2205.10438-11. https://arxiv.org/abs/2205.10403-12. https://arxiv.org/abs/2205.10621-13. https://arxiv.org/abs/2205.10736-14. https://arxiv.org/abs/2205.10431-15. https://arxiv.org/abs/2205.10439-16. https://arxiv.org/abs/2205.10739

Date: May 23, 2022Series: Your Daily MLThe daily episode of everything new in Machine Learning (cs.LG).List of papers:-1. https://arxiv.org/abs/2205.10232-2. https://arxiv.org/abs/2205.10343-3. https://arxiv.org/abs/2205.10053-4. https://arxiv.org/abs/2205.10014-5. https://arxiv.org/abs/2205.09991-6. https://arxiv.org/abs/2205.10287-7. https://arxiv.org/abs/2205.10210-8. https://arxiv.org/abs/2205.09817-9. https://arxiv.org/abs/2205.09868-10. https://arxiv.org/abs/2205.09911-11. https://arxiv.org/abs/2205.10110-12. https://arxiv.org/abs/2205.09787-13. https://arxiv.org/abs/2205.09898-14. https://arxiv.org/abs/2205.09838-15. https://arxiv.org/abs/2205.10032

Machine learning has become a meaningful target for data applications, bringing with it an increase in the complexity of orchestrating the entire data flow. Flyte is a project that was started at Lyft to address their internal needs for machine learning and integrated closely with Kubernetes as the execution manager. In this episode Ketan Umare and Haytham Abuelfutuh share the story of the Flyte project and how their work at Union is focused on supporting and scaling the code and community that has made Flyte successful.

Support the show: https://www.buymeacoffee.com/datascienceharp Watch the video of this episode: https://www.youtube.com/watch?v=eYfHD1CkvRI Don't forget to register for regular office hours by The Artists of Data Science: http://bit.ly/adsoh Register for Sunday Sessions here: http://bit.ly/comet-ml-oh Listen to the latest episode: https://player.fireside.fm/v2/eac-KT9/latest?theme=dark The Artists of Data Science Social links: Support the show: https://www.buymeacoffee.com/datascienceharp YouTube: https://www.youtube.com/c/HarpreetSahotaTheArtistsofDataScience Instagram: https://www.instagram.com/datascienceharp Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/datascienceharp

Support the show: https://www.buymeacoffee.com/datascienceharp Find David online: https://twitter.com/d_spiegel Read David's article "Will I live longer than my cat?": https://www.bbc.co.uk/news/magazine-19467491 Watch the video of this episode: https://youtu.be/pCWH97vBFmU Memorable Quotes from the show: [00:23:36] "...essentially what probability theory allows us to do is to make assumptions about how the world works, how the data is generated, and turn it and flip it around after we observe some data into statements about our uncertainty about underlying features of the world. We can do that, which of course is very explicit based on work indeed, where after processing data or uncertainty and it turns into uncertainty about the underlying quantities." Hightlights of the show: [00:01:29] Guest Introduction [00:03:08] Talk to us about how you first got interested in statistics and what was it that drew you to this field? [00:04:55] Why is it that it seems like mathematicians tend to dislike teaching statistics? [00:08:27] What is statistical science and what is it all about? [00:09:46] You talk about in your book, The Art of Statistics, how to handle problems and approach problems in statistics. You call the P, p, b, a C cycle. Tell us about that framework. [00:15:03] You mentioned in the book that statistics is to blame for the reproducibility and replication crises in science. Why? Why is that? [00:18:23] When we talk about induction and inductive inference, should the philosopher in us get worried at all about the problem of induction in statistics? [00:19:40] Tell our audience about the 'normal distribution'. [00:20:34] Do you have any examples of when inductive inference has failed in statistics that you could share with us? [00:22:15] Why do we need probability theory when we're doing statistics? [00:26:25] I think pouring into the Bayesian stuff is kind of taking a step back here, maybe first principles. But what is probability? How do we measure it? It seems like such a strange epistemological concept. [00:28:27] Can we say there's a at least some type of difference between epistemic probability and some physical or I believe you say aleatory? [00:30:03] Would there be a difference in the way that a philosopher or a statistician would interpret probability? [00:38:32] What's the Bayesian approach all about and why is it that courts in the UK are banning it or have banned it? [00:40:16] How is this (Bayesian approach) different from the frequentist approach to viewing probability? What's the central difference? [00:44:55] It seems like the prior distribution is something that makes base them so controversial. Why is that? [00:46:18] It seems like Bayes Theorem is the scientifically correct way to change your mind when you get new evidence, right? [00:48:18] David Deutsch mentioned lately about the Bayesian-ism, and he's having some qualms with Bayesian ism. He says that Bayesian-ism becomes controversial when you try to use it as a way to generate new ideas or judge one explanation against another. How do we reconcile that when we're faced with some epistemic. [00:49:51] About using it to help us in our everyday lives to make better decisions. How can we use Bayes in that context? [00:53:15] It is 100 years in the future. What do you want to be remembered for? Random Round [00:54:17] What do you believe that other people think is crazy? [00:55:02] What are you most curious about right now? [00:55:55] What are you currently reading? [00:58:33] What do you like most about your family? [00:58:53] What was your best birthday? Don't forget to register for regular office hours by The Artists of Data Science: http://bit.ly/adsoh Register for Sunday Sessions here: http://bit.ly/comet-ml-oh Listen to the latest episode: https://player.fireside.fm/v2/eac-KT9/latest?theme=dark The Artists of Data Science Social links: Support the show: https://www.buymeacoffee.com/datascienceharp YouTube: https://www.youtube.com/c/HarpreetSahotaTheArtistsofDataScience Instagram: https://www.instagram.com/datascienceharp Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/datascienceharp

Date: May 20, 2022Series: Your Daily MLThe daily episode of everything new in Machine Learning (cs.LG).List of papers:-1. https://arxiv.org/abs/2205.09357-2. https://arxiv.org/abs/2205.09117-3. https://arxiv.org/abs/2205.09281-4. https://arxiv.org/abs/2205.09589-5. https://arxiv.org/abs/2205.09628-6. https://arxiv.org/abs/2205.09745-7. https://arxiv.org/abs/2205.09180-8. https://arxiv.org/abs/2205.09459-9. https://arxiv.org/abs/2205.09328-10. https://arxiv.org/abs/2205.09573-11. https://arxiv.org/abs/2205.09470-12. https://arxiv.org/abs/2205.09479-13. https://arxiv.org/abs/2205.09619-14. https://arxiv.org/abs/2205.09251-15. https://arxiv.org/abs/2205.09620

Mit DeepEye wird ein entscheidungsunterstützender Algorithmus entwickelt, welcher eine verbesserte Netzhauttherapie ermöglicht. Damit lassen sich viele Erblindungen verhindern. Im Gespräch heute der Co-Founder und CEO Manuel Opitz: 0:00 - Intro. 0:30 - Manuel ist ein MedTech-Veteran. 11:50 - DeepEye vs altersbedingte Makuladegeneration. 23:50 - Herausforderung Richtung Regulierung etc. 37:10 - Woher kommen die Trainingsdaten? 49:27 - Bessere Therapie und geringere Kosten dank KI. 1:02:14 - Geschäftsmodell. 1:09:40 - Die nächsten Milestones. 1:20:47 - Wie AMD verhindern? ------------------------------------------------------------------------------- Weiterführende Informationen: ► DeepEye: https://deepeye.ai/ ► LinkedIn Manuel: https://www.linkedin.com/in/manuelopitz/ ► LinkedIn Bernard: https://www.linkedin.com/in/bernardsonnenschein/ ► Feedback gerne an bernard.sonnenschein@datenbusiness.de ► Melde dich in unserer Community an: https://community.datenbusiness.de/

Today we kick things off with a conversation with D. Sculley, a director on the Google Brain team. Many listeners of today's show will know D. from his work on the paper, The Hidden Technical Debt in Machine Learning Systems, and of course, the infamous diagram. D. has recently translated the idea of technical debt into data debt, something we spend a bit of time on in the interview. We discuss his view of the concept of DCAI, where debt fits into the conversation of data quality, and what a shift towards data-centrism looks like in a world of increasingly larger models i.e. GPT-3 and the recent PALM models. We also explore common sources of data debt, what are things that the community can and have done to mitigate these issues, the usefulness of causal inference graphs in this work, and much more! If you enjoyed this interview or want to hear more on this topic, check back on the DCAI series page weekly at https://twimlai.com/podcast/twimlai/series/data-centric-ai. The complete show notes for this episode can be found at twimlai.com/go/574

At GDC, your nice hosts met and spoke with this week's returning guests. We were so impressed with their project "[i] doesn't exist," we wanted to have them on a full episode to talk about the unique machine learning system they built for it. Be nice and have a listen!LUAL Games on Twitter"[i] doesn't exist" demo - itch.io[I] doesn't exist - a modern text adventure - KickstarterIf you're in Sweden, Lu and Al and their game will be at Arctic Game Week next week, May 25-28, 2022. We first met Lu and Al and spoke with them for a recent episode: GDC 2022 Special (Part 2)Some meta news: Mark wrote a song for this year's Charity EP Jam, which is actually a double-length album! All proceeds go to Able Gamers. Machine Learning NarrativeProgrammingSimulated AI creatures demonstrate how mind and body evolve and succeed together - Devin Coldewey, TechCrunchWhat is GitHub Copilot? An AI Pair Programmer for Everyone - Daniel Diaz, SitepointGithub Copilot Wants to Play Chess Instead of Code - Ido Nov, DagsHub BlogChat MapperBotpressDocumentation as a gateway to open source - James Turnbull, IncrementMiddle-Earth: Shadow of Mordor Makes AI Meaningful and Menacing - Andy Brice, GamingBoltAnna-Lena PontetGuestLuzia HüttenmoserGuest

This week we're releasing our very first test episode of the podcast! What are neural networks? Do butterflies remember being caterpillars? And what is Love Island? Content Warning: Mentions of suicide in the Misc Topic Support us on Patreon! Join our Discord! We also learn about: what is a dog? stem cell hotel, the giant squid axon, neural networks will be walking and talking soon, why is it called deep learning? Deep blue and Watson, love island AI, Amazon's biased hiring AI, black hole imaging, completely meat circle, Janelle Shane, Getting flagged on the street to answer if butterflies remember, caterpillar soup, classically trained caterpillars, the y tube, tickling chrysalises, the rules of love island, casa amor, beauty airplane. Sources: NYTimes AI Hype Amazon's Hiring AI Black Hole Machine Learning Algorithm Janell Shane's AI Weirdness --- Caterpillar Memory Experiment Chrysalis Memories Experiment

Date: May 19, 2022Series: Your Daily MLThe daily episode of everything new in Machine Learning (cs.LG).List of papers:-1. https://arxiv.org/abs/2205.08754-2. https://arxiv.org/abs/2205.08989-3. https://arxiv.org/abs/2205.08562-4. https://arxiv.org/abs/2205.08897-5. https://arxiv.org/abs/2205.08954-6. https://arxiv.org/abs/2205.08712-7. https://arxiv.org/abs/2205.08715-8. https://arxiv.org/abs/2205.08717-9. https://arxiv.org/abs/2205.09021-10. https://arxiv.org/abs/2205.09072

Only about 15% of used clothes and other textiles in the United States get reused or recycle. The rest head straight to the landfill or incinerator. Peggy talks about how to address this, citing research in a new report about how to facilitate a circular economy for textiles. She also discusses: The biggest hurdles facing the textile industry. What can be done to address these hurdles. Actions that businesses can take now to move to a more circular economy. peggysmedleyshow.com  (5/17/22 - 771) IoT, Internet of Things, Peggy Smedley, artificial intelligence, machine learning, big data, digital transformation, cybersecurity, blockchain, 5G, cloud, sustainability, future of work, podcast This episode is available on all major streaming platforms. If you enjoyed this segment, please consider leaving a review on Apple Podcasts.

Peggy and Kim Cheslak, director of codes, New Buildings Institute, discuss a new study on building decarbonization. She says one of the primary questions is: what does it cost? Thus, it went into the study with two primary goals: to confirm or disprove the theory that electrifying buildings saves or costs homeowners or building owners money over time and to also look at the societal benefits of electrifying buildings. They also discuss: If an all-electric building is less expensive to build, own, and operate. If there are concerns about the grid and variability across the country. How building codes intersect. newbuildings.org  (5/17/22 - 771) IoT, Internet of Things, Peggy Smedley, artificial intelligence, machine learning, big data, digital transformation, cybersecurity, blockchain, 5G, cloud, sustainability, future of work, podcast, Kim Cheslak, New Buildings Institute This episode is available on all major streaming platforms. If you enjoyed this segment, please consider leaving a review on Apple Podcasts.

Peggy and Alexa Carlin, Women Empower X, talk about her new book Adaptable. She says she has gone through a number of challenges that are very related in the sense that we all go through so many challenges—and there is a time where we can either let our obstacles stop us or fuel us forward. They also discuss: How to show other women that they can do it. How to share obstacles and have the courage to do so. The importance of showing others that we are not alone. alexacarlin.com (5/17/22 - 771) IoT, Internet of Things, Peggy Smedley, artificial intelligence, machine learning, big data, digital transformation, cybersecurity, blockchain, 5G, cloud, sustainability, future of work, podcast, Alexa Carlin, Women Empower X This episode is available on all major streaming platforms. If you enjoyed this segment, please consider leaving a review on Apple Podcasts.

    How can we make a better mousetrap if the designers of and the materials that go into the contemporary mousetraps aren't good enough to keep pace with the current mouse?   Adapt or perish… now as ever, is nature's inexorable imperative  --HG Wells   It is not the strongest species that survie, nor the most intelligent… but the ones most responsive to change  --Charles Darwin   You improvise! You adapt! You overcome!  -- Gunnery Sgt Tom Highway; Heartbreak Ridge   All due respect to the United States Air Force   Do you know what SecDevOps is? Do you know how when or why the concept applies to cybersecurity and the world at large? What if I told you that there are people out there who personify the definition of what we identify as SecDevOps.   Well… I gotta guy…   On today's episode, Matt Stephenson welcomes Mike Fraser, VP of DevSecOps at Sophos. We take a look at the role that developers can and must play in the world of cybersecurity. These aren't the folks building the security building... the are the ones making the bricks and hammers used to construct that building. How important are the materials used to construct the very infrastructure of an entire industry? Tune in and find out...   About Mike Fraser Mike Fraser is Vice President of DevSecOps at Sophos. Previously, he was co-founder, CEO and chief architect at Refactr (acquired by Sophos in 2021) where he spearheaded the creation of a DevSecOps automation platform that bridges the gap between DevOps and cybersecurity.   Mike is a regular speaker at numerous industry events, including Hashiconf, Hashitalks, KubeSec, various Microsoft events, RedHat AnsibleFest, DevOps Days, and All Day DevOps.   He has also published several feature articles including on TechCrunch, RSA 365, and DevOps.com.   In addition to his Sophos role, Mike helps advise other veteran-led software startups. While leading Refactr, Mike earned a bachelor's degree in application development from North Seattle College and has a master's degree in computer science from Seattle University.   He is also, and it is clearly stated on his CV, the World's Coolest Dad   About Matt Stephenson My name is Matt Stephenson (@packmatt73) and I have hosted podcasts, videos and live events all over the world which put me with experts on every corner of the cybersecurity landscape. pm73media is my first solo endeavor. On this platform and others to come, I will continue to expand upon the tradition we started with the Insecurity podcast as I seek out the leading minds in the tech industry and beyond. I am always looking for fun people who may break things every now and again.   In 20 years in the ecosystem of Data Protection and Cybersecurity I have toured the world extolling the virtues of Artificial Intelligence and Machine Learning and how, when applied to information security, these technologies can wrong-foot the bad guys.   Whether in person, live virtual events or podcasting, I get to interview interesting people doing interesting things all over the world of technology and the extended world of hacking. Sometimes, that means hacking elections or the coffee supply chain... other times that means social manipulation or the sovereign wealth fund of a national economy.   Wherever I go, my job is all about talking with the people who build, manage or wreck the systems that we have put in place to make the world go round...   If you tuned in to any of my previous podcasts, there's great news…! pm73media is here! I will be bringing the same kind of energy and array of guests you know and love. Best part? We're still at the same spot. You can find it at Spotify, Apple, Amazon Music & Audible as well as GooglePlay, Gaana, Himalaya, I Heart Radio and wherever you get your podcasts!   Make sure you Subscribe, Rate and Review!

How do you retrieve data from sensors embedded in underwater settings - such as those monitoring ecosystem change, for example? Well, when human divers aren't an option (which is often the case) it's over to the autonomous robots! In this episode of the Big Questions Podcast we speak to Prof Nick Hawes from the Oxford Robotics Institute about the challenges - and possibilities - that such robots bring to the field.

This episode features an interview between Matt Trifiro and Rex St. John, founder of Taroko Technology. Rex has spent the last decade building developer and innovator ecosystems at Intel, Arm, and NVIDIA. He recently resigned to work full time in Web3 to organize communities and developer programs. While at NVIDIA, Rex built the global software ecosystem for NVIDIA Jetson. At Arm, he built global developer relations programs for IoT and Edge. While working for Intel, Rex was the lead developer on many projects and built the Global developer ecosystem and GTM for Edge AI, Robotics, Drones, IoT, Industrial, and Embedded Systems. On his YouTube channel, Rex shares knowledge, analysis and insights about the future of hardware, software and crypto technology. He received his education from the Isenberg School of Management, UMass Amherst and is on the advisory boards for Silicon Valley Robotics and Dronecode.In this episode, Rex tells us how he got his start in video game technology and then decided to learn to program and code on his own. He turned that into a career of coding, software development consulting, and technical evangelism. Rex provides his views on the evolution and adoption of Edge computing and IoT, including how kubernetes is helping to drive transformation. He also delves into the future of what he calls the ‘Machine Economy' - where hardware, cryptocurrency, blockchain, and the metaverse may work in tandem to ensure continued efficiencies and support for business operations and security. Rex also raises the importance of improving the environmental impact of cryptocurrency and blockchain, and advancements in democracy, social engagement, and community. ---------Key Quotes:“I do think people get tired of hearing about IOT and the conversation has to change. And then ultimately, it's driven by the workloads and the profitability. If people aren't investing, then the innovations are going to move slower. And then if the workloads aren't there, then it's not a justified innovation. So, I think right now it feels very much like edge computing is on the rise.”“Shifting everything from manual allocation to the biggest thing I think is just shifting all compute resources to an open economy, where you can list anything on the network and get paid to put that on. I think that's going to have a very profound and massive impact on the computer industry at the very least.”---------Show Timestamps:(02:29) Getting Started in Technology(04:00) Evolution of Edge Computing and IoT (06:45) Electrical IMP and Particle(08:22) Internet Connectivity and Rise of Edge Computing(10:00) Latest Trends in IoT and Kubernetes(13:30) Kubernetes Driving Transformation(16:00) Orchestration(18:10) Machines Operating Machines(18:55) Principles of Web3 and Security(21:00) Intersection of Security with Web3, IoT, and Edge(22:30) Cryptocurrency, Helium Mining, and Device Networks(24:00) Demand for Hardware and maintaining efficiencies (26:20) Market Based Scheduling (28:40) Metaverse Rental GPU Market(29:40) Proof of Work and Proof of Stake(32:00) Improving Environmental Impact from Cryptocurrency and Blockchain(35:00) Machine Economy and Carbon Credits(36:36) Carbon Accountability (39:25) Doughnut Index / Doughnut Fund(43:30) Views on Regulation(46:45) Technology Breakthroughs(47:25) Innovations in Democracy, Social Engagement, and Community--------Sponsor:Over the Edge is brought to you by Dell Technologies to unlock the potential of your infrastructure with edge solutions. From hardware and software to data and operations, across your entire multi-cloud environment, we're here to help you simplify your edge so you can generate more value. Learn more by visiting DellTechnologies.com/SimplifyYourEdge for more information or click on the link in the show notes.--------Links:Follow Matt on TwitterConnect with Rex on TwitterConnect with Rex on LinkedInWatch Rex's Videos on YouTubeVisit Rex's Websitewww.CaspianStudios.comRex's Book Recommendations:Third Pillar Capitalism Without CapitalSovereign Citizen

Date: May 18, 2022Series: Your Daily MLThe daily episode of everything new in Machine Learning (cs.LG).List of papers:-1. https://arxiv.org/abs/2205.07886-2. https://arxiv.org/abs/2205.08304-3. https://arxiv.org/abs/2205.08332-4. https://arxiv.org/abs/2205.08115-5. https://arxiv.org/abs/2205.07885-6. https://arxiv.org/abs/2205.08017-7. https://arxiv.org/abs/2205.07867-8. https://arxiv.org/abs/2205.08253-9. https://arxiv.org/abs/2205.08384-10. https://arxiv.org/abs/2205.08247-11. https://arxiv.org/abs/2205.08096-12. https://arxiv.org/abs/2205.07854-13. https://arxiv.org/abs/2205.07890-14. https://arxiv.org/abs/2205.08363-15. https://arxiv.org/abs/2205.07855-16. https://arxiv.org/abs/2205.07857-17. https://arxiv.org/abs/2205.08365-18. https://arxiv.org/abs/2205.07852

On this episode of the Strategy with Jason Podcast, Dario Dulic joins Jason in Las Vegas at NADA 2022 to discuss How Dealers Can Utilize AI, Creating Custom Dealership Tech & The Difference Between AI and Machine Learning. www.strategywithjason.com for more content, bookings and information. Listen To The Strategy With Jason Podcast: Apple Podcast: https://podcasts.apple.com/ca/podcast/how-dealers-can-utilize-ai-creating-custom-dealership/id1454551179?i=1000559734869 Spotify: https://open.spotify.com/episode/2CNKmTwnQ3gEqMkdunMGcR YouTube: https://youtu.be/dJjYWxKVRmM Digital Dealership Solutions: ddsolutions.ca Strategy With Jason: strategywithjason.com Bell2Bell: bell2bell.ca Listen To The Strategy With Jason Podcast: Apple Podcast: apple.co/3IwlT3v Spotify: spoti.fi/3fT8V3H Soundcloud: bit.ly/347rnDb Jason Harris Twitter: twitter.com/StratWJason Instagram: www.instagram.com/strategywithjason/ Facebook: www.facebook.com/StrategyWithJason LinkedIn: www.linkedin.com/in/strategywithjason/ Website: www.strategywithjason.ca Dario Dulic: https://www.linkedin.com/in/dariodulic/

On this episode of the Strategy with Jason Podcast, Dario Dulic joins Jason in Las Vegas at NADA 2022 to discuss How Dealers Can Utilize AI, Creating Custom Dealership Tech & The Difference Between AI and Machine Learning. www.strategywithjason.com for more content, bookings and information. Listen To The Strategy With Jason Podcast: Apple Podcast: https://podcasts.apple.com/ca/podcast/how-dealers-can-utilize-ai-creating-custom-dealership/id1454551179?i=1000559734869 Spotify: https://open.spotify.com/episode/2CNKmTwnQ3gEqMkdunMGcR YouTube: https://youtu.be/dJjYWxKVRmM Digital Dealership Solutions: ddsolutions.ca Strategy With Jason: strategywithjason.com Bell2Bell: bell2bell.ca Listen To The Strategy With Jason Podcast: Apple Podcast: apple.co/3IwlT3v Spotify: spoti.fi/3fT8V3H Soundcloud: bit.ly/347rnDb Jason Harris Twitter: twitter.com/StratWJason Instagram: www.instagram.com/strategywithjason/ Facebook: www.facebook.com/StrategyWithJason LinkedIn: www.linkedin.com/in/strategywithjason/ Website: www.strategywithjason.ca Dario Dulic: https://www.linkedin.com/in/dariodulic/

Don't all AI methods need a bunch of data to work? How could AI help document and revitalize endangered languages with “human-in-the-loop” or “active learning” methods? Sarah Moeller from the University of Florida joins us to discuss those and other related questions. She also shares many of her personal experiences working with languages in low resource settings.

This week Greg and Haye talked to Tim Wiley from Gresco UAS. In this podcast, we discuss drone inspections, public safety use cases, training, machine learning, regulations, counter UAV, and regulatory bans on drones. Check Out Gresco: https://grescouas.com/

The FINRA Annual Conference is happening now, in-person in Washington, DC, and virtually. The event is packed full of panels with information on all the latest compliance trends and emerging regulatory issues. On today's episode, we're taking you behind the scenes of the opening plenary session, a conversation between FINRA President and CEO Robert Cook and the outgoing chair of the FINRA Board of Governors, Eileen Murray. How are we doing? Take the FINRA Unscripted survey today.Resources mentioned in this episode:2023 FINRA Annual ConferenceEpisode 36: Digital Experience TransformationEpisode 98: Deep Learning: The Future of the Market Manipulation Surveillance Program

It often feels like machine learning experts are running around with a hammer, looking at everything as a potential nail - they have a system that does cool things and is fun to work on, and they go in search of things to use it for. But what if we flip that around and start by working with people in various fields - education, health, or economics, for example - to clearly define societal problems, and then design algorithms providing useful steps to solve them?Rediet Abebe, a researcher and professor of computer science at UC Berkeley, spends a lot of time thinking about how machine learning functions in the real world, and working to make the results of machine learning processes more actionable and more equitable.Abebe joins EFF's Cindy Cohn and Danny O'Brien to discuss how we redefine the machine learning pipeline - from creating a more diverse pool of computer scientists to rethinking how we apply this tech for the betterment of society's most marginalized and vulnerable - to make real, positive change in people's lives.In this episode you'll learn about:The historical problems with the official U.S. poverty measurement How machine learning can (and can't) lead to more just verdicts in our criminal courtsHow equitable data sharing practices could help nations and cultures around the worldReconsidering machine learning's variables to maximize for goals other than commercial profitThis podcast is supported by the Alfred P. Sloan Foundation's Program in Public Understanding of Science and Technology.Music for How to Fix the Internet was created for us by Reed Mathis and Nat Keefe of BeatMower. This podcast is licensed Creative Commons Attribution 4.0 International, and includes the following music licensed Creative Commons Attribution 3.0 Unported by their creators: http://dig.ccmixter.org/files/djlang59/59729Probably Shouldn't by J.Langhttp://dig.ccmixter.org/files/Skill_Borrower/41751Klaus by Skill_Borrower http://dig.ccmixter.org/files/airtone/58703commonGround by airtonehttp://dig.ccmixter.org/files/JeffSpeed68/56377Smokey Eyes by Stefan Kartenberg http://dig.ccmixter.org/files/NiGiD/62475Chrome Cactus by Martijn de Boer (NiGiD)

As we train computers to complete repetitive tasks for us automatically, we need to be keenly aware of the biases we may be subconsciously programming. So, what questions should we be asking as consumers and employees in a world augmented by computer assistance? The Principle Architect of Ethical AI Practice at Salesforce, Kathy Baxter, and journalist Jacob Ward give guidance on creating a responsible AI ecosystem that prioritizes safety, privacy, and equality. This episode was published first by Blazing Trails, our sister podcast over at Salesforce, hosted by Michael Rivo.Tune in to learn:How is AI changing the way that we think? (3:41)How are companies changing the way they think about the ethics of AI? (8:06)Whose responsibility is it to regulate the ethics of AI? (11:25)What is the current regulatory landscape for AI? (16:07)How should employees think about correcting bias in AI? (19:07)How can you build AI ethical awareness into your organization? (27:03)How are we using AI to help the environment? (35:15)Mentions:The Loop: How Technology Is Creating a World Without Choices and How to Fight BackSalesforce AI Ethics ModelBenioff Ocean InitiativeOECD AI PrinciplesIT Visionaries is brought to you by Salesforce Platform. If you love the thought leadership on this podcast, Salesforce has even more meaty IT thoughts to chew on. Take your company to the next level with in-depth research and trends right in your inbox. Subscribe to a newsletter tailored to your role at Salesforce.com/newsletter.Mission.org is a media studio producing content for world-class clients. Learn more at mission.org.