1Mby1M Incubation Radar 2012: SociaLasso, Tel Aviv, Israel

The meteoric rise of social media has in turn created a need for social media marketing for every business, large or small. A key issue for all these marketeers is to identify the players to market to: potential customers and influencers, in particular, and the ecosystem in general. >>>

1Mby1M Philosophy: Bootstrap First, Raise Money Later

This morning, I received an email from Aaron Skonnard, CEO of Pluralsight. Aaron, as you may recall, is the Utah entrepreneur we covered last year, who has bootstrapped his online education company to $12 million. He wanted to let me know that the company has just raised $27.5 million dollars in Series A financing. In a blog post, Aaron explains:

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1Mby1M Incubation Radar 2012: InSync, Kolkata, India

In 2006, 1M/1M premium member InSync was established as an IT company to provide software solutions to Indian small and medium businesses (SMBs) from their location in Kolkata. Over the next three years, InSync would acquire more than 500 domestic customers, and make an important discovery. They noted that at a certain volume, it was impossible for customers to manage their e-commerce businesses without an integrated enterprise resource planning (ERP) system. Leveraging this knowledge, InSync shifted focus from services to product and released their flagship integration solution, SBOeConnect. Today, the company specializes in solutions that complement enterprise solution products, as well as business intelligence services, including reporting and data warehousing. >>>

Entrepreneurship Media: Stop Being Pathetic in 2013

Honestly.

We’re hearing this from entrepreneurs all the time: The media will not cover them unless there is a funding announcement.

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Thought Leaders in Big Data: Franz Aman, Chief Marketing Officer, Silicon Graphics (Part 5)

Sramana Mitra: Based on where you sit and what you look at on a regular basis, what are some of the open problems from your point of view?

Franz Aman: In the big data space in particular, everyone has jumped on the analysis and understanding of big data, which is entirely understandable. But I think the next trend we are going to see and the next big wave is going to be all about applications and transactions on big data. I think it is an under-served space and opportunity right now. Before we know it, we are going to see the venture capitalists not so much in just the analysis [of] technology [used in] managing big data, but more about transacting on that data and having the same fidelity in transactions that you have with relational databases. Then what is required to bring big data applications to a mobile environment as well. >>>

Thought Leaders in Big Data: Franz Aman, Chief Marketing Officer, Silicon Graphics (Part 4)

Sramana Mitra: So, you are avoiding that problem by blowing out the main memory available and then doing the in-memory computing on top of that?

Franz Aman: Correct. Then it is native. It is just available, and your application will just run. We recently did a project with a researcher from the University of Illinois about a Twitter analysis. That was one of these big brain systems where we needed one big, continuous memory space to do some of the analysis in real-time at the rate at which we did it. That is the only way you can do something like that. A lot of times I talk with people about 64 terabytes of space, and they think I have the sizes wrong. They ask if I meant gigabytes and not terabytes, or they think it is disk space and not main memory, but it actually is main memory. >>>

Thought Leaders in Big Data: Franz Aman, Chief Marketing Officer, Silicon Graphics (Part 3)

Sramana Mitra: You talked about in-memory databases and said you were using Oracle’s in-memory database technology. Could you talk a bit about trends in in-memory databases, because it looks like SAP is setting its entire company on HANA? >>>

Thought Leaders in Big Data: Franz Aman, Chief Marketing Officer, Silicon Graphics (Part 2)

Sramana Mitra: I would like to talk in more detail about some of the customers and problems you discussed. You can pick whichever your favorites are. Let’s do three or four use cases. I would like to dive into the depths of what problems you are solving and how you are solving them. What role does SGI play in terms of what you need in order to solve those problems? What does a big data solution look like in various scenarios? >>>