InformationWeek is hosting a special edition of our live Web TV show, Valley View, during Google I/O. My Valley View co-host,
David Berlind and I will cover all of the announcements and take a deep dive into Google's technology direction and company strategy, starting at 4 p.m. PST on June 27. We'll discuss everything we learned from the keynote and follow-on sessions, breaking down the news and analysis.
We'll also have some guests from Google jumping over from the conference, including Piotr Adamczyk, who heads up data for the Google Art Project, a collaboration between Google and artists around the world--essentially a view into art museums from the comfort of your screen, and then some. Adamczyk will talk about where the company is taking the project next.
David Krane, a partner at Google Ventures, will also join us on Valley View. This is Google's investment arm, and it has given rise to nearly 100 companies, including the highly touted, so-called "learning thermostat" from Nest, and the ever-popular, Pocket, formerly known as Read It Later.
Meanwhile, InformationWeek's executive editor, Doug Henschen landed an exclusive interview with Jim Goodnight, the CEO and Co-Founder of SAS, one of the industry's leaders in analytics in this era of big data. We'll have some of the highlights of that discussion.
You can watch the show live on our Valley View Special Report page, and if you'd like a chance to win some prizes,
please register to watch. Also, for anyone in the San Francisco area, come on by our studio at the UBM TechWeb headquarters to be part of the live audience--we'll have refreshments, food, and we'll give away some prizes there, too.
Expertise, automation, and silo busting are all required, say early adopters of private clouds. Also in the new, all-digital Private Clouds: Vision Vs. Reality issue of InformationWeek: How to choose between OpenStack and CloudStack for your private cloud. (Free with registration.)
InformationWeek Tech Digest, Nov. 10, 2014Just 30% of respondents to our new survey say their companies are very or extremely effective at identifying critical data and analyzing it to make decisions, down from 42% in 2013. What gives?