Big Data Needs Big Dreamers: Lessons from successful Big Data investors

moderator: Evangelos Simoudis, Synapse Partners
panelist: Greg Sands, Costanoa Venture Capital
panelist: Matt Ocko, DCVC Management Co, LLC.
panelist: Tim Guleri, Sierra Ventures
panelist: Mark Gorenberg, Zetta Venture Partners
published: Sept. 5, 2016,   recorded: August 2016,   views: 1569

Related Open Educational Resources

Related content

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Lecture popularity: You need to login to cast your vote.


The potential of big data and its exploitation using machine intelligence has captured investor imagination in the same way it continues to capture the imagination of consumers and business executives. As a result, hundreds of startups have already been funded by institutional investors and many more have received funding from other sources, including corporations. New opportunities for startups that provide solutions to important consumer and enterprise problems continue to emerge, and institutional investors remain eager to support great entrepreneurs ready to tackle them.

Like in every field that attracts strong investor attention, while we are seeing many ideas that may not warrant institutional investment, we are also seeing some really great venture investment opportunities that have VCs trampling over themselves to invest in them.

BigData Needs Big Dreamers: Lessons from BigData Investors panel brings together seasoned investors from the Venture Capital (VC) community who have invested in BigData companies and will share with us their impression of this space from their investor perspective.

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Write your own review or comment:

make sure you have javascript enabled or clear this field: