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Entries filed under “Startups”

How Small Business Can Grow with Big Data

Over at Entrepreneur Magazine, Mikal E. Belicove writes that of the power of Big Data for small business is “knowing the now.”

If your business can gain insight from data-logging sensors, you can distill that knowledge into timely, intelligent decisions and trigger the right action at the right time. Or, put another way, today you no longer use data to see what happened; instead you use it to see what’s happening in real time, which allows you to pinpoint your marketing, improve service, reduce costs and save time. The possibilities are endless.

Read the Full Story.


Also posted in Business of Big Data | Leave a comment

Site Ai Provides Automated Insights from Your Web Analytics

Over at TechCrunch, Anthony Ha writes that Automated Insights’ new product called Site Ai pulls data from existing systems such as Google Analytics and then summarizes that data into normal sentences.

With a Site Ai summary, you shouldn’t have to do too much thinking. As the company name implies, all of the summaries are automatically generated by Automated Insights’ technology, not people. Allen told me that’s a big challenge: “Turning data into text is difficult because it requires marrying two skills that traditionally don’t play well with each other: programming and writing.” The reason Allen said he can do it is because he has a background in both technology (he worked at Cisco and has degrees from MIT in computer science), but also in writing (he’s the author of a number of books published by O’Reilly).

Read the Full Story.


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Video: The Big Data Paradigm Shift – Insight Through Automation

In this video from the 2013 HPC User Forum, Radhika Subramanian from Emcien presents: The Big Data Paradigm Shift – Insight Through Automation.

Download the slides (PDF) or check out the HPC User Forum Video Gallery.


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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


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Algorithm Predicts Whether Startups Will Succeed

Over at Oregon Business, Linda Baker writes that Thomas Thurston from Growth Science has created a model that accurately predicts whether or not a Startup will succeed.

How does Thurston’s model work? It’s rooted in the mountains of data he has collected on market and corporate dynamics, including the anticipation of future changes in the marketplace. Patterns of success or failure then emerge depending on these different market and business behavior factors. “The key is identifying variables that are predictive of success and failure,” says Thurston, who is very hush-hush about revealing those variables. It’s a process that involves “lots of hard, hard work,” he says. “You go through a whole haystack to find one needle.”

Read the Full Story.


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Video: Lean Analytics – Using Data to Build a Better Startup Faster

In this video, author Alistair Croll explains the concepts of his book, Lean Analytics. Croll strongly advises startups to pick the one metric that matters the most and to focus on it.

This talk was hosted by MaRS, a Canadian organization that provides resources — people, programs, physical facilities, funding and networks — to ensure that critical innovation happens.


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DSSD is Andy Bechtolsheim’s Secret Chip Startup for Big Data

Over at GigaOm, GigaStacey writes that the solution for better and faster storage may lie in DSSD, a stealthy chip startup backed by Andy Bechtolsheim. Founded in 2010 by Sun Alums Jeff Bonwick and Bill Moore, DSSD is trying to build a chip that would improve the performance and reliability of flash memory for high performance computing, newer data analytics, and networking.

My sources tell me the startup is building a new type of chip — they said it’s really a module, not a chip — that combines a small amount of processing power with a lot of densely-packed memory. The module runs a pared-down version of Linux designed for storing information on flash memory, and is aimed at big data and other workloads where reading and writing information to disk bogs down the application. This fits with the expertise of the team, but this is a problem that others are trying to solve as well with faster and cheaper SSDs and targeted software to to optimize the flow of bits to a database. But the proposal here appears to be about designing an operating system that takes advantage of the difference in Flash memory when compared to hard drives to boost I/O.

Read the Full Story.


Also posted in Business of Big Data, Flash and SSD, Hardware, HPC, I/O, Software, Storage, ZFS | Leave a comment

Big Data in the Big Sky Country

When you think of Missoula, Montana, what comes to mind? Perhaps a rugged western landscape under enormous cloud-capped skies? Or the University of Montana, or maybe the Montana Grizzlies college football franchise, or as the site of state’s largest and oldest active breweries? If you’re thinking timber, forget it – that industry died back in the 1990s. Now the university and two hospitals are the city’s biggest employers.

But if local entrepreneurs and investors have their way, all this will change. They see Missoula becoming the technology hub of the Northern Rockies with Big Data leading the way.

A recent article in the Missoulian written by Martin Kidston cites the growth of two local companies involved in Big Data – TerraEchos that uses propritetary software to predict cyber-attacks, and GCS Research, a developer of next-generation Geographnic Information Systems and remote-sensing applications.

They represent the vanguard of what local leaders, the university and investors hope will morph into Missoula’s tech hub. As part of its efforts to support the talent pool needed to realize this initiative, the University of Montana has included a course on IBM’s InfoSphere Streams software, and three departments are looking to launch a new Big Data Program at the university.

In the article, Clyde Neu, chief financial officer at TerraEchos, talks about the growing interest by venture capitalists and other investors in potential Big Data startups in the Rocky Mountain Region, including Missoula.

These are the kind of business that scale very quickly,” Neu said. “If they take root, they’ll be hiring people. Their growth is somewhat global – there’s no limitations. They leverage the Internet as they expand. That’s what excites me about the Missoula area. We also have an awful lot of small, high-tech information firms bubbling underneath the surface here, and some are rising to the top and attracting substantial funding.”

Read the Full Story.


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Entering the Era of the Moneyball VC

Will Big Data analytics change the world of venture capital? Over at Xconomy, Benjamin Romano writes that we have entered the era of the Moneyball VC.

Over the last seven years, Thomas Thurston has been developing algorithms—first at Intel Capital, and later in collaboration with Harvard professor Clayton Christensen, and under his own shingle at Growth Science in Portland, OR—to model markets and business behavior, and thereby predict the success or failure of a given innovation. Now he is joining Hambrecht-led venture fund Ironstone Group as a partner to try this method in a venture capital industry increasingly open to data-driven approaches.

Read the Full Story and be sure to check out our RichReport podcast interview with Thurston.


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Applications Due: Global Big Data Conference 2013 Startups Pitch

The Global Big Data Conference is hosting a Startups Pitch on January 28, 2013 in Santa Clara. This event is a great opportunity for startup firms to showcase their products to the world in front of prominent technology experts and potential investors.

Are you working on the next big thing that will take the world by storm ? The event allows you to showcase your products in front of potential investors, users and partners. The judging panel, which consists of investors, entrepreneurs, and industry analysts, will nominate seven startups from the submissions. The shortlisted startups will have a chance to present their products and technologies at the Startups Pitch on Monday, January 28. The judging panel will choose a winner based on the presentations made.

Hurry! Pitch applications are due January 20, 2013.


Also posted in Business of Big Data, Events, Graph Computing | Leave a comment

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