Presented By O'Reilly and Cloudera
Make Data Work
March 28–29, 2016: Training
March 29–31, 2016: Conference
San Jose, CA
Michael Dauber

Michael Dauber
Partner, Amplify Partners

@dauber

Michael Dauber is a general partner at Amplify Partners. Previously, Mike spent over six years at Battery Ventures, where he led early-stage enterprise investments on the West Coast, including Battery’s investment in a stealth security company that is also in Amplify’s portfolio. Mike has served on the boards of a number of companies, including Continuuity, Duetto, Interana, and Platfora. Mike’s investments include Splunk and RelateIQ, which was recently acquired by Salesforce. Mike began his career as a hardware engineer at a startup and held product, business development, and sales roles at Altera and Xilinx. Mike is a frequent speaker at conferences and is on the advisory board of both the O’Reilly Strata Conference and SXSW. He was named to Forbes magazine’s 2015 Midas Brink List. Mike holds a BS in electrical engineering from the University of Michigan in Ann Arbor and an MBA from the University of Pennsylvania’s Wharton School.

Sessions

1:50pm–2:30pm Wednesday, 03/30/2016
Data-driven Business

Location: LL21 C/D
Michael Dauber (Amplify Partners), Shivon Zilis (Bloomberg Beta), Cack Wilhelm (Scale Venture Partners), Roseanne Wincek (Institutional Venture Partners), Kristina Bergman (Ignition Partners)
Average rating: ***..
(3.87, 15 ratings)
In a panel discussion, top-tier VCs look over the horizon and consider the big trends in big data, explaining what they think the field will look like a few years (or more) down the road. Join us as Shivon Zilis, Cack Wilhelm, Michael Dauber, Kristina Bergman, and Roseanne Wincek talk about trends that everyone is seeing and areas for investment that they find exciting. Read more.
5:10pm–5:50pm Wednesday, 03/30/2016
Moderated by:
Michael Dauber (Amplify Partners)
Panelists:
Yael Garten (LinkedIn), Monica Rogati (Data Natives), Daniel Tunkelang (Various)
Average rating: ****.
(4.14, 7 ratings)
We’ve all heard that rare breed the data scientist described as a unicorn. In building your DS team, should you hold out for that unicorn or create groups of specialists who can work together? Michael Dauber, Yael Garten, Monica Rogati, and Daniel Tunkelang discuss the pros and cons of various team models to help you decide what works best for your particular situation and organization. Read more.