The O'Reilly Data Show explores the opportunities and techniques driving big data and data science. Through interviews and analysis, we highlight the people putting data to work.

The O'Reilly Data Show Podcast

Raplh Dogg,Profile,Just Real,& D-Mac went in on this track tell me what u think

Everythang

The funny, frank and full autobiography of the nation's favourite comedian.

It's the first time I've done this. Other people have written about me - or for me - but this time it's just my own life in my own words.

In his first full-length autobiography, comedy legend and national treasure Billy Connolly reveals the truth behind his windswept and interesting life.

Born in a tenement flat in Glasgow in 1942, orphaned by the age of four, and a survivor of appalling abuse at the hands of his own family, Billy's life is a remarkable story of success against all the odds.

Billy found his escape first as an apprentice welder in the shipyards of the River Clyde. Later he became a folk musician - a 'rambling man' - with a genuine talent for playing the banjo. But it was his ability to spin stories, tell jokes and hold an audience in the palm of his hand that truly set him apart.

As a young comedian Billy broke all the rules. He was fearless and outspoken - willing to call out hypocrisy wherever he saw it. But his stand-up was full of warmth, humility and silliness too. His startling, hairy 'glam-rock' stage appearance - wearing leotards, scissor suits and banana boots - only added to his appeal.

It was an appearance on Michael Parkinson's chat show in 1975 - and one outrageous story in particular - that catapulted Billy from cult hero to national star. TV shows, documentaries, international fame and award-winning Hollywood movies followed. Billy's pitch-perfect stand-up comedy kept coming too - for over 50 years, in fact - until a double diagnosis of cancer and Parkinson's Disease brought his remarkable live performances to an end. Since then he has continued making TV shows, creating extraordinary drawings...and writing.

Windswept & Interesting is Billy's story in his own words. It is joyfully funny - stuffed full of hard-earned wisdom as well as countless digressions on fishing, farting and the joys of dancing naked. It is an unforgettable, life-affirming story of a true comedy legend.

I didn't know I was windswept and interesting until somebody told me. It was a friend who was startlingly exotic himself. He'd just come back from Kashmir and was all billowy shirt and Indian beads. I had long hair and a beard and was swishing around in electric blue flairs.

He said: 'Look at you - all windswept and interesting!'

I just said: 'Exactly!'

After that, I simply had to maintain my reputation....

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WINDSWEPT & INTERESTING by Billy Connolly, read by Billy Connolly - audiobook extract

&nbsp;<a href="https://www.economist.com/united-states/2022/07/07/democrats-have-a-hispanic-problem?utm_campaign=a.io&amp;utm_medium=audio.podcast.np&amp;utm_source=theintelligence&amp;utm_content=discovery.content.anonymous.tr_shownotes_na-na_article&amp;utm_term=sa.listeners" rel="noopener noreferrer" target="_blank">Our series</a> on America’s mid-term elections begins with a visit to a citizenship class in Doral, Florida, given by Republicans. We examine how the GOP is cutting into Democrats’ advantage with Latino voters. Britain’s trial of a <a href="https://www.economist.com/britain/2022/07/21/a-superhighway-for-drones-to-fly-between-british-cities?utm_campaign=a.io&amp;utm_medium=audio.podcast.np&amp;utm_source=theintelligence&amp;utm_content=discovery.content.anonymous.tr_shownotes_na-na_article&amp;utm_term=sa.listeners" rel="noopener noreferrer" target="_blank">superhighway for drones</a> is a bid to unleash their commercial potential. And meeting &nbsp; a <a href="https://www.economist.com/culture/2022/07/28/a-thai-pop-star-uses-her-music-to-critique-her-homeland?utm_campaign=a.io&amp;utm_medium=audio.podcast.np&amp;utm_source=theintelligence&amp;utm_content=discovery.content.anonymous.tr_shownotes_na-na_article&amp;utm_term=sa.listeners" rel="noopener noreferrer" target="_blank">Thai dissident</a> issuing dystopian pop music from self-imposed exile. For full access to print, digital and audio editions of The Economist, subscribe here <a href="http://www.economist.com/intelligenceoffer" rel="noopener noreferrer" target="_blank">www.economist.com/intelligenceoffer</a> <hr> See <a style='color:grey;' target='_blank' rel='noopener noreferrer' href='https://acast.com/privacy'>acast.com/privacy</a> for privacy and opt-out information.

Latin-ex Democrats: Republicans and Hispanic voters

Callum Borchers of the Wall Street Journal discussed jealousy from underappreciated colleagues with Gordon Deal.

These Workers Were the Bosses' Favorites. Now They Feel Jilted

Hey y'all! This week the team sits down with Skydance Interactive to chat about The Walking Dead: Saints & Sinners - Chapter 2: Retribution, currently in development now for PS VR2.

Official PlayStation Podcast Episode 441: Virtual Walkers

At Made by Google '22, Google unveiled its latest Pixel lineup with the Pixel 7 and Pixel 7 Pro powered by Google's 2nd-gen mobile chip, the Tensor G2, powering more AI and machine learning features like Super Res Zoom, Photo Unblur, Cinematic Blur. Also announced was Google's first smartwatch, the Google Pixel Watch, with Fitbit's health and fitness expertise, and shared some details on the Pixel Tablet with a charging speaker dock coming in 2023. 
Hosts: <a href="https://twit.tv/people/leo-laporte">Leo Laporte</a> and <a href="https://twit.tv/people/ron-richards">Ron Richards</a> 
Download or subscribe to this show at <a href="https://twit.tv/shows/twit-news">https://twit.tv/shows/twit-news</a>. 
Get episodes ad-free with Club TWiT at <a href="https://twit.tv/clubtwit" rel="payment">https://twit.tv/clubtwit</a>

TWiT News 386: Made by Google 2022

Firewatch stand auf unserer Liste der meisterwarteten Spiele 2016. Jetzt ist die Zeit der Abrechnung gekommen: Ist das Indie-Abentuer wirklich unsere Vorfreude wert gewesen, oder verdammen wir es wie eifersüchtige Ex-Freundinen?

Runde #46: Firewatch (Some people just want to watch the world burn)

In this episode of the Data Show, I spoke with Dhruba Borthakur (co-founder and CTO) and Shruti Bhat (SVP of Marketing) of Rockset, a startup focused on building solutions for interactive data science and live applications. Borthakur was the founding engineer of HDFS and creator of RocksDB, while Bhat is an experienced product and marketing executive focused on enterprise software and data products. Their new startup is focused on a few trends I’ve recently been thinking about, including the re-emergence of real-time analytics, and the hunger for simpler data architectures and tools.  Borthakur exemplifies the need for companies to continually evaluate new technologies: while he was the founding engineer for HDFS, these days he mostly works with object stores like S3.

Bringing Scalable Real-time Analytics to the Enterprise

In this episode of the Data Show, I spoke with Roger Chen, co-founder and CEO of Computable Labs, a startup focused on building tools for the creation of data networks and data exchanges. Chen has also served as co-chair of O'Reilly's Artificial Intelligence Conference since its inception in 2016. This conversation took place the day after Chen and his collaborators released an interesting new white paper, "Fair value and decentralized governance of data." Current-generation AI and machine learning technologies rely on large amounts of data, and to the extent they can use their large user bases to create “data silos,” large companies in large countries (like the U.S. and China) enjoy a competitive advantage. With that said, we are awash in articles about the dangers posed by these data silos. Privacy and security, disinformation, bias, and a lack of transparency and control are just some of the issues that have plagued the perceived owners of “data monopolies.”

Acquiring and Sharing High-Quality Data

In this episode of the Data Show, I speak with Cassie Kozyrkov, technical director and chief decision scientist at Google Cloud. She describes "decision intelligence" as an interdisciplinary field concerned with all aspects of decision-making, and which combines data science with the behavioral sciences. Most recently she has been focused on developing best practices that can help practitioners make safe, effective use of AI and data. Kozyrkov uses her platform to help data scientists develop skills that will enable them to connect data and AI with their organizations' core businesses.

We had a great conversation spanning many topics, including:

How data science can be more useful

The importance of the human side of data

The leadership talent shortage in data science

Is data science a bubble?

Make Data Science More Useful

In this episode of the Data Show, I speak with Alex Ratner, project lead for Stanford’s Snorkel open source project; Ratner also recently garnered a faculty position at the University of Washington and is currently working on a company supporting and extending the Snorkel project. Snorkel is a framework for building and managing training data. Based on our survey from earlier this year, labeled data remains a key bottleneck for organizations building machine learning applications and services.

Ratner was a guest on the podcast a little over two years ago when Snorkel was a relatively new project. Since then, Snorkel has added more features, expanded into computer vision use cases, and now boasts many users, including Google, Intel, IBM, and other organizations. Along with his thesis advisor professor Chris Ré of Stanford, Ratner and his collaborators have long championed the importance of building tools aimed squarely at helping teams build and manage training data. With today’s release of Snorkel version 0.9, we are a step closer to having a framework that enables the programmatic creation of training data sets.

Labeling, Transforming, and Structuring Training Data Sets for Machine Learning

In this episode of the Data Show, I speak with Kesha Williams, technical instructor at A Cloud Guru, a training company focused on cloud computing. As a full stack web developer, Williams became intrigued by machine learning and started teaching herself the ML tools on Amazon Web Services. Fast forward to today, Williams has built some well-regarded Alexa skills, mastered ML services on AWS, and has now firmly added machine learning to her developer toolkit.

Becoming a Machine Learning Practitioner

In this episode of the Data Show, I speak with Michael Mahoney, a member of RISELab, the International Computer Science Institute, and the Department of Statistics at UC Berkeley. A physicist by training, Mahoney has been at the forefront of many important problems in large-scale data analysis. On the theoretical side, his works spans algorithmic and statistical methods for matrices, graphs, regression, optimization, and related problems. On the applications side, he has contributed to systems used for internet and social media analysis, social network analysis, as well as for a host of applications in the physical and life sciences. Most recently, he has been working on deep neural networks, specifically developing theoretical methods and practical diagnostic tools that should be helpful to practitioners who use deep learning.

Understanding Deep Neural Networks

Adam got a chance to sit down for an hour with Douglas Michau, Executive Director North America Business Development at Motorola Mobility. If that sounds like a lot, that’s because there was a lot to say. Adam is joined by Jonathan to talk about what Douglas said about Moto Mods, 5G, foldables, better battery life, and more in this featured story of the Android Authority podcast! Interview: August 21, 2019Recorded: September 18, 2019 This podcast is sponsored by MNML Cases. Go to&nbsp;https://mnmlcase.com/discount/AndroidAuthority&nbsp;to get 35% off your order through September 27th. Special thanks to Douglas Michau and Motorola The Android Authority podcast is: Adam Doud - @DeadTechnology Jonathan Feist - @JFeist1 / @DroneRushcom Joe Hindy - @ThatJoeHindy Produced by Adam Doud Check out the other podcasts in our network! The DGiT Daily podcastThe SoundGuys Podcast

Hello Moto - A look at the future of smartphones from Motorola

In this podcast, three different people share their coming out stories, and what happened when they made the decision to share something deeply personal about themselves online.

Podcast: Strange, Scary, Liberating

Guess Who

O'Reilly Media spreads the knowledge of innovators. At O’Reilly, a big part of our business is paying attention to what’s new and interesting in the world of technology. We have a pretty good record at having anticipated some of the big technology developments in recent history. For instance, we launched the first commercial Web site, GNN, in 1993; we organized the meeting at which the term “open source” was first adopted; we were early investors in Blogger, which helped launch the blogging revolution; and more recently, our Web 2.0 conference launched a world-wide meme. We call this predictive sense the “O’Reilly Radar.” And while we’re certainly not always right, we are, at least, good at making interesting guesses.

Our methodology is simple: we draw from the wisdom of the alpha geeks in our midst, paying attention to what’s interesting to them, amplifying these weak signals, and seeing where they fit into the innovation ecology. Add to that the original research conducted by our Research team, and you start to get a good picture of what the technology world is thinking about.

Bringing Scalable Real-time Analytics to the Enterprise

O'Reilly Radar

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