Communicating with maps - The art of cartography
43 min

A map is a simple communication device and if we can state something simply it means that we really understand it. John Nelson, a cartographic wizard at ESRI offers some really interesting perspectives around communicating with maps.

 

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Stats + Stories
Stats + Stories
The Stats + Stories Team
The Last Legs of Local Journalism | Stats + Stories Episode 166
Cities and small towns across America once woke up to their local newspaper on their doorstep. Over the last several decades, though, those newspapers have begun to disappear a University of North Carolina at Chapel Hill study showing that disappearance has heralded the rise of news deserts in the United States. That’s the focus of this episode of Stats and Stories with guest Penelope Abernathy. Penelope Muse Abernathy is a former executive at The Wall Street Journal and The New York Times, is the Knight Chair in Journalism and Digital Media Economics at the University of North Carolina. A journalism professional with more than 30 years of experience as a reporter, editor and senior media business executive, she specializes in preserving quality journalism by helping news organizations succeed economically in the digital environment.  Her research focuses on the implications of the digital revolution for news organizations, the information needs of communities and the emergence of news deserts in the United States. She is author of “News Deserts and Ghost Newspapers: Will Local News Survive?” — a major 2020 report that documents the state of local journalism, what is as stake for our democracy, and the possibility of reviving the local news landscape, and she is the lead co-author of “The Strategic Digital Media Entrepreneur” (Wiley Blackwell: 2018), which explores in-depth the emerging business models of successful media enterprises.
26 min
DeepMind: The podcast
DeepMind: The podcast
DeepMind: The podcast
8: Demis Hassabis: The interview
In this special extended episode, Hannah Fry meets Demis Hassabis, the CEO and co-founder of DeepMind. She digs into his former life as a chess player, games designer and neuroscientist and explores how his love of chess helped him to get start-up funding, what drives him and his vision, and why AI keeps him up at night. If you have a question or feedback on the series, message us on Twitter (@DeepMindAI (https://twitter.com/deepmindai?lang=en) using the hashtag #DMpodcast) or emailing us at podcast@deepmind.com (mailto:podcast@deepmind.com) . Further reading: Wired: Inside DeepMind's epic mission to solve science's trickiest problem (https://www.wired.co.uk/article/deepmind-protein-folding) Quanta magazine: How Artificial Intelligence Is Changing Science (https://www.quantamagazine.org/how-artificial-intelligence-is-changing-science-20190311/) Demis Hassabis: A systems neuroscience approach to building AGI. Talk at the 2010 Singularity Summit (https://www.youtube.com/watch?v=Qgd3OK5DZWI) Demis Hassabis: The power of self-learning systems. Talk at MIT 2019 (https://cbmm.mit.edu/video/power-self-learning-systems) Demis Hassabis: Talk on Creativity and AI (https://www.youtube.com/watch?v=d-bvsJWmqlc) Financial Times: The mind in the machine: Demis Hassabis on artificial intelligence (2017) (https://www.ft.com/content/048f418c-2487-11e7-a34a-538b4cb30025) The Times: Interview with Demis Hassabis (https://www.thetimes.co.uk/article/demis-hassabis-interview-the-brains-behind-deepmind-on-the-future-of-artificial-intelligence-mzk0zhsp8) The Economist Babbage podcast: DeepMind Games (https://play.acast.com/s/theeconomistbabbage/99af5224-b955-4a3c-930c-91a68bfe6c88?autoplay=true) Interview with Demis Hassabis (https://storage.googleapis.com/deepmind-media/podcast/Game%20Changer%20-%20Demis%20Hassabis%20Interview.pdf) from the book Game Changer (https://www.newinchess.com/game-changer) , which also features an introduction from Demis Interviewees: Deepmind CEO and co-founder, Demis Hassabis Credits: Presenter: Hannah Fry Editor: David Prest Senior Producer: Louisa Field Producers: Amy Racs, Dan Hardoon Binaural Sound: Lucinda Mason-Brown Music composition: Eleni Shaw (with help from Sander Dieleman and WaveNet) Commissioned by DeepMind
37 min
Data Futurology - Leadership And Strategy in Artificial Intelligence, Machine Learning, Data Science
Data Futurology - Leadership And Strategy in Artificial Intelligence, Machine Learning, Data Science
Felipe Flores
SL-9 The Role of the Chief Data Officer
We are joined by Celine Le Cotonnec, Chief Data & Innovation Officer at Bank of Singapore and Shameek Kundu, Chief Data Officer at Standard Chartered Bank. They share with us their perspective on what the function and goal of the Chief Data Officer is. From Shameek’s experience, the function of the Chief Data Officer role varies by industry, maturity of the organization with respect to data and sometimes even by geographic location. Celine refers to a study that shows a successful data transformation is 20% about tech, 50% about the people’s mindset and 30% process reengineering wherever you are implementing some type of data product. For her, one key aspect of the CDO role is how you manage the people to achieve transformation within the organization. Quotes: * "Many banks that have built some kind of credit model, even with traditional analytics, have seen their models crumble with Covid-19." * "In any successful data transformation; 20% is about the tech, 50% is about people and their mindset and 30% is about process change." * "If you want to detect financial crime, absolutely the holy grail of AI, in order to detect something like financial crime, at least in supervised learning, you need to know that a transaction was financial crime. But all we can do is detect potential financial crime, then we go and report it to a regulator and we never hear back." Thanks to our sponsors: Shine Solutions Group Talent Insights SAS Women in Analytics (WIA) Network Growing Data Read the full episode summary here: #SheLeads Ep 9 Enjoy the ninth episode of our #SheLeads Series! --- Send in a voice message: https://anchor.fm/datafuturology/message
54 min
Learning Bayesian Statistics
Learning Bayesian Statistics
Alexandre ANDORRA
#29 Model Assessment, Non-Parametric Models, And Much More, with Aki Vehtari
I’ll be honest here: I had a hard time summarizing this episode for you, and, let’s face it, it’s all my guest’s fault! Why? Because Aki Vehtari works on so many interesting projects that it’s hard to sum them all up, even more so because he was very generous with his time for this episode! But let’s try anyway, shall we? So, Aki is an Associate professor in computational probabilistic modeling at Aalto University, Finland. You already heard his delightful Finnish accent on episode 20, with Andrew Gelman and Jennifer Hill, talking about their latest book, « Regression and other stories ». He is also a co-author of the popular and awarded book « Bayesian Data Analysis », Third Edition, and a core-developer of the seminal probabilistic programming framework Stan. An enthusiast of open-source software, Aki is a core-contributor to the ArviZ package and has been involved in many free software projects such as GPstuff for Gaussian processes and ELFI for likelihood inference. His numerous research interests are Bayesian probability theory and methodology, especially model assessment and selection, non-parametric models (such as Gaussian processes), feature selection, dynamic models, and hierarchical models. We talked about all that — and more — on this episode, in the context of his teaching at Aalto and the software-assisted Bayesian workflow he’s currently working on with a group of researchers. Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work at https://bababrinkman.com/ (https://bababrinkman.com/) ! Thank you to my Patrons for making this episode possible! Yusuke Saito, Avi Bryant, Ero Carrera, Brian Huey, Giuliano Cruz, Tim Gasser, James Wade, Tradd Salvo, Adam Bartonicek, William Benton, Alan O'Donnell, Mark Ormsby, Demetri Pananos, James Ahloy, Jon Berezowski, Robin Taylor, Thomas Wiecki, Chad Scherrer, Vincent Arel-Bundock, Nathaniel Neitzke, Zwelithini Tunyiswa, Elea McDonnell Feit, Bertrand Wilden, James Thompson, Stephen Oates, Gian Luca Di Tanna, Jack Wells, Matthew Maldonado, Ian Costley, Ally Salim, Larry Gill, Joshua Duncan, Ian Moran, Paul Oreto, Colin Caprani, George Ho and Colin Carroll. Visit https://www.patreon.com/learnbayesstats (https://www.patreon.com/learnbayesstats) to unlock exclusive Bayesian swag ;) Links from the show: New podcast website: https://www.learnbayesstats.com/ (https://www.learnbayesstats.com/) Rate LBS on Podchaser: https://www.podchaser.com/podcasts/learning-bayesian-statistics-932588 (https://www.podchaser.com/podcasts/learning-bayesian-statistics-932588) Aki's website: https://users.aalto.fi/~ave/ (https://users.aalto.fi/~ave/) Aki's educational material: https://avehtari.github.io/ (https://avehtari.github.io/) Aki on GitHub: https://github.com/avehtari (https://github.com/avehtari) Aki on Twitter: https://twitter.com/avehtari (https://twitter.com/avehtari) Bayesian Data Analysis, 3rd edition: https://www.routledge.com/Bayesian-Data-Analysis/Gelman-Carlin-Stern-Dunson-Vehtari-Rubin/p/book/9781439840955 (https://www.routledge.com/Bayesian-Data-Analysis/Gelman-Carlin-Stern-Dunson-Vehtari-Rubin/p/book/9781439840955) Bayesian Data Analysis course material: https://github.com/avehtari/BDA_course_Aalto (https://github.com/avehtari/BDA_course_Aalto) Regression and Other Stories: https://avehtari.github.io/ROS-Examples/ (https://avehtari.github.io/ROS-Examples/) Aki’s favorite scientific books (so far): https://statmodeling.stat.columbia.edu/2018/05/14/aki_books/ (https://statmodeling.stat.columbia.edu/2018/05/14/aki_books/) Aki's talk on Agile Probabilistic Programming: https://www.youtube.com/watch?v=cHlPgHn6btg (https://www.youtube.com/watch?v=cHlPgHn6btg) Aki's posts on Andrew Gelman's blog: https://statmodeling.stat.columbia.edu/author/aki/ (https://statmodeling.stat.columbia.edu/author/aki/) Stan software: https://mc-stan.org/ (https://mc-stan.org/) GPstuff - Gaussian... Support this podcast
1 hr 5 min
The Idealcast with Gene Kim by IT Revolution
The Idealcast with Gene Kim by IT Revolution
Gene Kim
The Rise of Knowledge Work, and its Structure and Dynamics
In the final episode of the first season of The Idealcast, Gene Kim sits down with Jeffrey Fredrick, coauthor of Agile Conversations, to synthesize and reflect upon some of the major themes from the entire season. In Gene’s continued quest to understand why organizations behave the way they do, Fredrick helps connect the dots and points to new areas that deserve more study. They discuss the nature of knowledge work, including how software creation requires so much more conversation and joint cognitive work, and the challenges this presents. They also dive into the bodies of knowledge that are required as we push more decision making and value creation to the edges of the organization. Then, Gene and Fredrick revisit the concept of integration and why it’s so much more important now than 50 years ago. And finally, they discuss why “Are you happy?” and “Are you proud of your work?” are two very powerful questions and what they actually reveal about people and the work they’re performing. And why this is all so important as we try to create organizations that maximize learning for everyone. BIO: Jeffrey Fredrick is an internationally recognized expert in software development with over 25 years’ experience covering both sides of the business/technology divide. His experience includes roles as Vice President of Product Management, Vice President of Engineering, and Chief Evangelist. He has also worked as an independent consultant on topics including corporate strategy, product management, marketing, and interaction design. Jeffrey is based in London and is currently Managing Director of TIM, an Acuris Company. He also runs the London Organisational Learning Meetup and is a CTO mentor through CTO Craft. Twitter: https://twitter.com/Jtf LinkedIn: https://www.linkedin.com/in/jfredrick/ Website: https://www.conversationaltransformation.com/ YOU’LL LEARN ABOUT * The nature of knowledge work and how it requires more conversation and joint cognitive work and the challenges it presents * The body of knowledge required in decision making and value creation for the organization * Concepts of integration and why it’s important now * What the questions, “Are you happy?” and “Are you proud of your work?,” reveal about people and their work * How Dr. Thomas Kuhns’s work pertains to management models RESOURCES * Agile Conversations: Transform Your Conversations, Transform Your Culture by Douglas Squirrel and Jeffrey Fredrick * Continuous Integration and Testing Conference (CITCON) * The Structure of Scientific Revolutions by Dr. Thomas Kuhn * A Collection of Unmitigated Pedantry (ACOUP) * The Five Dysfunctions of a Team by Patrick Lencioni * Dr. Steve Spear’s episode on The Idealcast * Dr. Steve Spear’s 2020 DevOps Enterprise Summit Talk * Michael Nygard’s episode on The Idealcast * MIT’s Beer Game * Thinking, Fast and Slow by Daniel Kahneman * The DevOps Enterprise Journal * Reinventing Organizations by Frederic Laloux * Crossing the Chasm: Marketing and Selling High-Tech Products to Mainstream Customers by Geoffrey A. Moore * Command in War by Martin van Creveld * Continuous Deployment at IMVU: Doing the impossible fifty times a day by Timothy Fitz * Sooner Safer Happier: Antipatterns and Patterns for Business Agility by Jonathan Smart TIMESTAMPS [00:11] Intro [03:13] Meet Jeffrey Fredrick [03:54] Why conversations are important [08:03] Why conversations are more important now than 100 years ago [11:02] The Five Dysfunctions of a Team [13:08] Integration [16:33] The need for better integration now [20:18] What is information hiding and why it’s important [26:32] The pace of change moves the trade-off [31:41] Two important questions to ask [42:17] The system of fast and slow [48:25] Selection bias [51:07] Thank you from Gene [52:13] Jeffrey’s significant a-ha moment [59:45] Injecting change [1:06:24] Structure and dynamics [1:12:44] Command in War [1:23:39] Complaining about a feature factory [1:25:40] Standardized work and integrating feedback [1:22:21] Two elements of information flow [1:36:49] Insights on peer programming [1:43:54] Learning more and learning earlier [1:45:55] Is there something missing? [1:48:50] Contacting Jeffrey Fredrick [1:49:55] Outro
1 hr 52 min
IoT For All Podcast
IoT For All Podcast
IoT For All
Why Security is Crucial to IoT Adoption | Sternum's Boaz Shedletsky
In this episode of the IoT For All Podcast Sternum Chief Business Officer and Co-Founder Boaz Shedletsky joins us to talk about cybersecurity in the IoT space, including the security obstacles to widespread adoption and the need for on-device security in the majority of devices. Boaz is an experienced tech entrepreneur. Prior to co-founding Sternum, Boaz served as co-founder & CEO of ForClass until it was acquired by Time To Know. Before that, he held the role of Chief of Business Development at the Center for Educational Technology, Israel’s market leader in innovative education. Boaz’s accomplishments include the launch of McGraw-Hill Professional’s B2B e-book library and Ivy MBA Consulting, a leading company aiding international students with their application process to top-tier business schools. Interested in connecting with Boaz? Reach out to him on Linkedin! About Sternum: Sternum, the multilayered cybersecurity platform offering real-time, embedded protection for IoT devices, was founded in 2018 by a team of highly experienced research, development, and business leaders, many coming from the Israeli Defense Forces' (IDF) elite 8200 unit. With a profound understanding of embedded systems, deep insights into defenders' and attackers' mindsets, and a goal of creating a new standard of cybersecurity for IoT devices, Sternum is building uncompromising, innovative technology.Key Questions and Topics from this Episode: (00:48) Introduction to Boaz Shedletsky (04:08) How was Sternum founded? What problem were you seeking to solve? (09:46) Can you share some use cases? (12:06) What’s your current view of the cybersecurity landscape in IoT? (15:28) What are the biggest challenges companies coming to you are facing? (17:46) Is the cybersecurity aspect of IoT mature enough for mass IoT adoption? (19:37) Why do you think companies neglect the security component of these devices and solutions? (21:56) Why is on-device security so important? And do you have any advice for companies developing IoT solutions in regards to their security components?
27 min
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