Slidecast: Unreasonable at Sea – An Experiment in Transnational Entrepreneurship

In this podcast, Luke Jones from Semester at Sea presents: Unreasonable at Sea – An Experiment in Transnational Entrepreneurship.

Unreasonable at Sea is a radical experiment in global entrepreneurship, design-thinking, and education, designed to scale-up effective technological solutions to the greatest challenges of our time. We do this by hedging our bets on the most thrifty, resourceful, creative, and disruptive class amongst us: entrepreneurs. We are a mentor-driven accelerator for tech-entrepreneurs who desire to take their ventures into new international markets, and we choose to work exclusively with companies working on “intractable” social and environmental challenges. We could think of no better way to accelerate our portfolio companies’ ability to scale across borders than to put them all on one ship, align them with some of the world’s greatest mentors, and set sail more than 25,000 nautical miles while visiting 13 countries over the course of 100 days.”

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Podcast: Robert Scoble on How to Pitch Your Startup

 
In this podcast from DRT FM, Robert Scoble explains the best way to get the attention of journalists and investors. He reveals how to craft your story, the importance of social proof and why working the system to your advantage is necessary to succeed.

It all starts with building a great product. If you build a product that people want all the other stuff takes care of itself. You can really screw up your PR but if you have a product that people want, it will still spread.”

Listen to the Podcast * Subscribe on iTunes

SSRLabs Reveals Big Data Coprocessor Plans

SSRLabs_InsideHPC_August2013Over at insideHPC, the RichReport is featuring a slidecast with Axel Kloth from SSRLabs. The Silicon Valley Startup has developed an innovative Big Data coprocessor architecture optimized for bandwidth and power efficiency.

Scalable Systems Research Labs is a Silicon Valley startup focused on the development and sale of a family of coprocessors to solve the “Big Data” problem by accelerating execution of applications for customers who demand higher performance and where the power supply or cooling capacity is limited. These coprocessors work with a variety of standards-based application programming interfaces (APIs). SSRLabs’ family of coprocessors improves floating-point computation and analysis of multi-dimensional datasets at substantially higher performance levels and lower power consumption compared to traditional processors.”

Read the Full Story.

Podcast: How General Catalyst Partners Sparks Big Data Innovation



 
In this podcast, Deepak Jeevan Kumar from VC firm General Catalyst Partners describes his efforts to help entrepreneurs with disruptive ideas in big data, cloud computing, data center infrastructure, cyber-security, and clean energy.

Deepak Jeevan Kumar has been with General Catalyst since 2010, first in Boston and later in the firm’s Palo Alto office. He specializes in incubating and launching big data and cloud computing startups. Deepak has been closely involved in General Catalyst’s investments in AltiScale, DataGravity, ParElastic, Push Computing, Sunglass.io and Virtual Instruments. Prior to joining GC, Deepak led Sun Microsystems’ high performance computing work in the Asia-Pacific region. He has the distinction of being a key architect of a few top 10 supercomputers in the world. He also had a short stint at the Yale Investments office. Deepak is a graduate of the National University of Singapore, earning a B.Eng. in Computer Engineering; the Singapore-MIT Alliance, earning a S.M. in Computer Science; and the Yale School of Management, earning an M.B.A.

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Portland Entreprenuers Pitch Ironstone

In this video, entrepreneurs compete for funds through Starve Ups, where they made 30-second pitches and 30-minute presentations to billionaire investor Bill Hambrecht and his Ironstone Group Venture Capital.

The technology, the opportunities they’re taking with the internet space and the ability to develop sound business models around their business, very impressive,” said Hambrecht.

Hambrecht and the Ironstone fund use algorithms from local company Growth Science to predict the success or failure of Startup companies.

Read the Full Story or check out our inside-Startups podcast with Thomas Thurston from Growth Science.

Slidecast: Versium Real-Life Data Intelligence Platform

In this slidecast, Chris Matty from Versium describes the company’s Real-Life Data Intelligence Platform.

In consumer marketing, LifeData allows ever-narrower segmentation of customers and therefore much more precisely tailored products or services. Greater real life insights about people and businesses enable optimized communication strategies. Sophisticated analytics can predict behavior and greatly improve decision-making. LifeData can make existing applications more intelligent and enable entirely new ones. Versium’s powerful data intelligence platform enables all of this and more.”

Learn more at the Versium BlogView the slidesDownload the MP3Subscribe on iTunesSubscribe to RSS

Slidecast: Get 2know – Big Data For The Shared Economy

In this slidecast, Guy Fraker presents: get2know – Big Data for the Shared Economy.

With shared rides, cars, bikes, and even rooms, the issue of trust is huge. The folks at get2know have a developed a “Trust Engine” that uses Big Data to help you decide who you trust to share your stuff. Amazing!

As we build out to scale, we’ll provide a playground for alliance partners to reward consumers who utilize shared services in postive ways. We will deliver a searchable aggregated view of shared economy providers WITH utilization incentives. By doing both in a single view, using single sign-on, we provide an economic reason to be scored. We believe that by partnering with the Collaborative Consumption community, a market is created where no user asks, “ok- I got my score- now what?” get2kno is about creating a market, not building a platform.”

Learn more at the get2know BlogView the slidesDownload the MP3Subscribe on iTunesSubscribe to RSS