The O'Reilly Security Podcast examines the challenges and opportunities for security practitioners, with a focus on the people on the frontlines of security, working to build better defenses.

O'Reilly Security Podcast

it is playlist about data science. I'm putting here all podcast in english in related topic. If you know something that should be here please drop me a message with link. And follow me on twitter: @hyzhak_en

data science

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security podcast

podcast to listen to

O'REILLY

In this podcast CIPD's Chief Executive Peter Cheese. Robert Bolton, Partner, Leader of Global HR Transformation Centre of Excellence, KPMG and Hayley Brown, Talent Intelligence Analyst, Europe, Middle East and Africa (EMEA), for AVON Cosmetics, discuss the results of a survey and how HR needs to be able to use analytics to prove its own value to the business.

Podcast 77:  Analytics: How HR can influence strategy through data

Collaboration tools in the open-source Trusted Analytics Platform (TAP) address the human side of data analytics. O'Reilly's Rachel Roumeliotis speaks with Chuck Freedman, Chief Developer Advocate for TAP. 

Making data analytics easier for data scientists, developers, and DevOps

In this session of the Super Data Science Podcast, I chat with Ruben Kogel who has done some amazing data analytics in the startup space.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/1

The Super Data Science Podcast: Big Data | Analytics Careers | Mentors | Success

SDS 001 : Self-serve Analytics, Data Science MBA and Managing a Team of Analysts with Ruben Kogel

What does it take to build a data-driven culture? In this O’Reilly Podcast episode, I pose that question to Ashish Thusoo, founder of Qubole. With his co-founder Joydeep Sen Sarma, Thusoo built a self-service data infrastructure at Facebook beginning in 2007. That infrastructure transformed Facebook’s culture and became part of practically every product decision that the company made.

Building a Data-Driven Culture

In this episode I spoke with Michael Franklin, co-director of UC Berkeley’s AMPLab and chair of the Department of Computer Science at the University of Chicago. AMPLab is well-known in the data community for having originated Apache Spark, Alluxio (formerly Tachyon) and many other open source tools. Today marks the start of a two-day symposium commemorating the end of AMPLab, and we took the opportunity to reflect on its impressive accomplishments.

Building the Next-Generation Big Data Analytics Stack

In this episode of the Super Data Science Podcast, I chat with Chief Data Scientist Damian R Mingle. You will learn about how to build models with 95% accuracy rates, know the 3 top tips on quick wins and winning people over; and get ideas on how to save lives with data science.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/13

SDS 013 : 95% Accuracy Models, Winning People Over, and Saving Lives with Damian Mingle

In this episode, I sit down with Brad Knox, founder and CEO of Emoters, a startup building a product called bots_alive—animal-like robots that have a strong illusion of life. We chat about the approach the company is taking, why robots or agents that pass themselves off as human without any transparency should be illegal, and some challenges and applications of reinforcement learning and interactive machine learning.

Brad Knox on Creating a Strong Illusion of Life

In this episode I spoke with Ion Stoica, cofounder and chairman of Databricks. Stoica is also a professor of computer science at UC Berkeley, where he serves as director of the new RISE Lab (the successor to AMPLab). Fresh off the incredible success of AMPLab, RISE seeks to build tools and platforms that enable sophisticated real-time applications on live data, while maintaining strong security. As Stoica points out, users will increasingly expect security guarantees on systems that rely on online machine learning algorithms that make use of personal or proprietary data.

Data is Only as Valuable as the Decisions it Enables

In this episode of the SuperDataScience Podcast, I chat with Analytics Industry Expert Jen Underwood. You will learn about the 6 megatrends in data, get more insights about entrepreneurship and know about Jen's wealthy experiences in the world of data analytics for two decades.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/18

SDS 018 : 20 Years in Data Analytics, Entrepreneurship, and Megatrends in Data with Jen Underwood

In this episode of the Security Podcast, Courtney Nash, former chair of O’Reilly Security conference, talks with Jay Jacobs, senior data scientist at BitSight. We discuss the constraints of convenient data, the simple first steps toward building a basic security data analytics program, and effective data visualizations.

Jay Jacobs on Data Analytics and Security

In this episode of the Security Podcast, I talk with Andrea Limbago, chief social scientist at Endgame. We discuss how the misperception of security as a computer science skillset ultimately restricts innovation, the need to make security easier and accessible for everyone, and how current branding of security can discourage newcomers.

Andrea Limbago on the Effects of Security's Branding Problem

In this episode of the Security Podcast, I talk with Charles Givre, senior lead data scientist at Orbital Insight. We discuss how data science skills are increasingly important for security professionals, the critical role of data scientists in making the results of their work accessible to even nontechnical stakeholders, and using machine learning as a dynamic filter for vast amounts of data.

Charles Givre on the Impetus for Training All Security Teams in Basic Data Science

In this episode of the Security Podcast, O’Reilly’s Mac Slocum talks with Susan Sons, senior systems analyst for the Center for Applied Cybersecurity Research (CACR) at Indiana University. They discuss how she initially got involved with fixing the open source Network Time Protocol (NTP) project, recruiting and training new people to help maintain open source projects like NTP, and how security needn’t be an impediment to organizations moving quickly.

Susan Sons on Building Security from First Principles

In this episode of the Security Podcast, I talk with Christie Terrill, partner at Bishop Fox. We discuss the importance of educating businesses on the complexities of “being secure,” how to approach building a strong security program, and aligning security goals with the larger processes and goals of the business.

Christie Terrill on Building a High-Caliber Security Program in 90 Days

In this episode of the Security Podcast, I talk with Rich Smith, director of labs at Duo Labs, the research arm of Duo Security. We discuss the goals of agile application security, how to reframe success for security teams, and the short- and long-term implications of your security culture.

Rich Smith on Redefining Success for Security Teams and Managing Security Culture

For the end-of-year holiday episode of the Data Show, I turned the tables on Data Show host Ben Lorica to talk about trends in big data, machine learning, and AI, and what to look for in 2019. Lorica also showcased some highlights from our upcoming Strata Data and Artificial Intelligence conferences.

Trends in Data, Machine Learning, and AI

In this episode of the Data Show, I spoke with Andrew Burt, chief privacy officer and legal engineer at Immuta, a company building data management tools tuned for data science. Burt and cybersecurity pioneer Daniel Geer recently released a must-read white paper (“Flat Light”) that provides a great framework for how to think about information security in the age of big data and AI. They list important changes to the information landscape and offer suggestions on how to alleviate some of the new risks introduced by the rise of machine learning and AI.

We discussed their new white paper, cybersecurity (Burt was previously a special advisor at the FBI), and an exciting new Strata Data tutorial that Burt will be co-teaching in March.

How Machine Learning Impacts Information Security

with Peter Ludwig, Qasar Younis (@qasar), and Sonal Chokshi (@smc90)

When people talk about autonomous vehicles, we hear everything from "we're much closer than you think" to "we're much further than you think". So where are we, really, in the widespread reality of autonomous vehicles today? It depends, of course, on how you define autonomy -- which is where a handy recap and update of the SAE (Society of Automotive Engineers) levels of autonomy comes in. But still, given everything out there from self-driving shuttles to Teslas, it's really hard to tell just where we are and where the nuances of, say, Level 2-plus vs. Level 3 might come in.

This episode of the a16z Podcast takes a quick pulse on where we are in the state of autonomy in 2019 when it comes to autonomous cars, shuttles, robots -- basically any "autonomous" and/or "self-driving" vehicle out there -- as well as the analogy of mobile for understanding the space: where it works, where it breaks down. But did even the mobile industry itself really have a clear iPhone "moment"? When did mobile devices that seemed so limited -- or seemed like just "toys" -- suddenly (or not so suddenly) go to an apps layer that we use every single day? How do we build "the rails" and "the trains" at the same time in this case?

And perhaps most importantly, where will the spoils of this new wave of innovation go -- to Silicon Valley or Detroit? Or outside the U.S.? Who are the players? How do regulatory -- and quite frankly, nationalistic -- concerns come into play here? And finally, how does one balance the desire to embrace innovation in an open and fast, yet still very thoughtful and safe way? 

The answers, according to Applied Intuition co-founder and CEO Qasar Younis and CTO Peter Ludwig (in conversation with Sonal Chokshi), have to do with commodities and capitalism, with science and science fiction, with simulation and software as infrastructure, and more... And really, how we define autonomy now, and in the future.

a16z Podcast: Capitalizing on an Autonomous Vehicle Future

Jon Bruner and Mike Loukides talk about the classical music publishing industry and how it's being disrupted by projects like the Petrucci Music Library (http://imslp.org/) that make public-domain scores available online.

The future of classical music

Jim Stogdill, Edd Dumbill and Roger Magoulas have a conversation about in-memory databases and the impact on real time analysis. Leave questions and comments for us at http://radar.oreilly.com/2013/05/talking-about-in-memory.html

Talking about in-memory

Jon Bruner, Mike Loukides and Jim Stogdill from O'Reilly Radar muse on the return of software to the physical world.

Software and the physical world

Jon Bruner, Jim Stogdill, and Roger Magoulas talk about anthropology in big data, advances in JavaScript, searching for ancient civilizations, the importance of context, and good sites for checking the weather.

Related blog post: http://radar.oreilly.com/2013/06/radar-podcast-anthropology-big-data-and-the-importance-of-context.html

Anthropology, big data, and the importance of context

Jon Bruner, Jim Stogdill, and Roger Magoulas talk about what's been on their minds this week: the NSA's surveillance programs, what defense contractors will do with their technology as defense budgets dry up, and a Californian who isn't doing what you think he's doing with hydroponics.

For more on these topics, and links to the things we talked about, see http://radar.oreilly.com/2013/06/radar-podcast-the-internet-of-things-prism-and-defense-technology-that-goes-civilian.html.

The Internet of Things, PRISM, and defense technology that goes civilian

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.