CDNLive, the New Season

It's nearly April and so it is the start of the CDNLive season. This year there are seven conferences, starting with Silicon Valley.

The dates are:

• Silicon Valley (in the Santa Clara Convention Center), April 10 - 11
• Munich, Germany (in the INFINITY Hotel, which used to be called the Dolce Hotel), May 7 - 9
• Yokohama, Japan (in the Yokohama Bay Hotel Tokyu), July 20
• Shanghai, China (in the Kerry Hotel Pudong), August 10
• Hsinchu, Taiwan (in the Ambassador Hotel), August 14
• Bengaluru, India (in the Hotel Park Plaza), September 6 - 7
• Tel Aviv, Israel (David Intercontinental Hotel), October 15

CDNLive Silicon Valley

To save you scrolling back, the dates are April 10 and 11, which are a Tuesday and Wednesday. The full agenda is now available online, But it is better to download the CDNLive App (from the usual places), which makes it easy to decide what to attend and to create a personalized agenda, plus share comments and photos during the show. The app is not just for Silicon Valley, it will be used at all CDNLive events.

The format will be as in previous years, with breakout sessions, designer expos, a reception at the end of the first day. The big keynote session is 10:30am to 12:00pm on Tuesday. There are three keynotes:

• Lip-Bu Tan, Cadence's CEO
• Tom Beckley, SVP of the Custom IC and PCB Group (CPG)
• and...

Chris Ré

Chris Ré is a CS professor at Stanford, working in machine learning. As his own website says:

I'm an associate professor in the InfoLab affiliated with DAWN, Statistical Machine Learning Group, PPL, and SAI. I work on the foundations of the next generation of data analytics systems. These systems extend ideas from databases, machine learning, and theory, and our group is active in all areas. An application of our work is to make it dramatically easier to build machine learning systems to process dark data including text, images, and video. Our latest project is Snorkel, our code is on github, and there are blog posts about our work. By pushing the limits of weak supervision and data augmentation, we hope to make it radically easier to build machine learning systems and deepen our understanding of machine learning's underpinnings.

What he's too modest to say on his own home page is that he is also one of the 2015 recipients of the MacArthur Foundation "genius grants" for:

Democratizing big data analytics through open source data-processing products that have the power of machine learning algorithms but can be integrated into existing and applied database systems.

You can see him talking about his work when he received the award a couple of years ago (3 minutes). Or, for an up-to-the-minute presentation, come to CDNLive Silicon Valley and hear him talk about his work in person. To do that, go to the registration page and get registered.

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