Name: Machine Learning for Operational Analytics and Business Intelligence by O'Reilly Radar
Duration: 51 min 41 s
Description: In this episode of the Data Show, I speak with Peter Bailis, founder and CEO of Sisu, a startup that is using machine learning to improve operational analytics. Bailis is also an assistant professor of computer science at Stanford University, where he conducts research into data-intensive systems and where he is co-founder of the DAWN Lab.

It Will Rain by Bruno Mars

Listening to The Movies

Why watch a movie if you can’t see the screen? Matthew and his friend Ben take in a Marx Brothers film and showcase the power of a good description. Blind Guy Travels is written and performed by Matthew Shifrin, and produced and sound-designed by Ian Coss. Blind Guy Travels is a production of Radiotopia from PRX and part of Radiotopia Presents, a podcast feed debuting limited-run, artist-owned series from new and original voices. Learn more about Blind Guy Travels and access transcripts at radiotopiapresents.fm and discover more shows from across the Radiotopia network at radiotopia.fm.

Radiotopia Presents: Blind Guy Travels

A collection of horror stories that take place in the world of electoral politics. This one-hour special was produced in 2012 for broadcast on public radio, and made possible by the generous support of the Public Radio Exchange (prx.org) and SoundCloud.com, with editorial support provided by American Public Media. 

The Devil You Know

"When we fell in with the Acid Tests we a started having the most fun we had ever had."
- Jerry Garcia

Interview by Joe Smith
May 23, 1988 
Cassette Tape

Recorded during the writing of Off the Record
Hear the full interview catalog at The Library of Congress

Watch this episode as part of our animation series with PBS -->>
http://blankonblank.org/interviews/jerry-garcia-on-the-acid-tests/

Jerry Garcia on the Acid Tests

Hanging in the garage of Fire Station #6 in Livermore, California, there’s a small, pear-shaped light bulb. It is glowing right now.
This lightbulb has been glowing, with just a couple of momentary interruptions, for 113 years. You can see it glow in real time.
The bulb is a genuine heirloom from the dawn of electric illumination, built by one of its pioneers: Adolphe Chaillet.

99% Invisible-144- There Is A Light That Never Goes Out

A girl is lost and can't find her mom. Why won't anyone help her? Performed by Bee Herbstman, Melanie Hoopes, Ed Herbstman, Evan Sudarsky Abadi, Gregory Jones, and Blanche Ames. Written by Diana McCorry, Produced by  Jonathan Mitchell. 

(Image by Luis Mariano González)

Can You Help Me Find My Mom?

Century City

Scientist.

In this episode of the Data Show, I speak with Peter Bailis, founder and CEO of Sisu, a startup that is using machine learning to improve operational analytics. Bailis is also an assistant professor of computer science at Stanford University, where he conducts research into data-intensive systems and where he is co-founder of the DAWN Lab.

Machine Learning for Operational Analytics and Business Intelligence

Guess Who

Learan is a widower who lost his wife to breast cancer a year ago. Now he is a single parent to two boys. This is part of a larger group of audio portraits called Squirrels Stories of people talking about living with cancer. You can hear more stories at www.SquirrelsStories.com. 

You can also follow along at https://www.facebook.com/SquirrelsStories. 

The caretaker

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.

Machine Learning for Operational Analytics and Business Intelligence

O'Reilly Radar

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