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.
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 Blog * View the slides * Download the MP3 * Subscribe on iTunes* Subscribe to RSS
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.
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.
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.
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.
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.
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.
Ayasdi Big Data Startup Delivers Digital Serendipity
Ayasdi today announced that it has received $10.25 million in a Series A funding led by Khosla Ventures and FLOODGATE. Ayasdi has created the world’s first Insight Discovery platform, a technology that combines advanced mathematics, computer science, and visualization to help organizations find breakthrough insights in large and complex datasets that lead to impactful outcomes.
The answers to today’s most important scientific, business and social problems lie in data,” said Gurjeet Singh, CEO of Ayasdi. “The biggest challenge in Big Data today is asking the right questions of data. The power of Ayasdi is its unique ability to automatically discover insights–regardless of complexity–without asking questions. Ayasdi’s customers can finally learn the answers to questions that they didn’t know to ask in the first place. Simply stated, Ayasdi is ‘digital serendipity.”
Read the Full Story.
Video: Automated Insights Startup turns Big Data into Plain English
In this video, Robbie Allen from Automated Insights describes how the company’s artificial intelligence platform sifts through large data sets to spot interesting patterns, trends and insights, and then describes those findings in plain English with the tone, personality and variability of a human writer.
Big Data is all the rage, but its true value remains largely undiscovered–hidden by unintelligible masses of data sets. Our patent-pending technology humanizes data by spotting interesting patterns and key insights, and describes those findings in your native language (English, Spanish, etc.). The result is Big Data analysis anyone can understand.
Automated Insights is also a finalist in the AWS Global Start-Up Challenge.
