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Entries filed under “Startups”

Big Data Startup Profitero Named IBM Global Entrepreneur of the Year

This week Big Data Startup Profitero won the SmartCamp competition and became IBM Global Entrepreneur of the Year.

We are honored to be named the IBM Global Entrepreneur of the Year,” said Volodymyr Pigrukh, chief executive officer and co-founder, Profitero. “Our solution is a natural complement to IBM’s smarter commerce strategy. We are looking forward to working with IBM and its network of technical experts, business partners, venture capitalists, academics and clients to capture our share of the smarter commerce opportunity.”

Profitero analyzes competitor pricing data, offering retailers new levels of insight to help them maximize profits by adjusting pricing and merchandising strategies. Read the Full Story.


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Big Data Startups Vie for IBM Global Entrepreneur Honors

This week IBM announced that nine Big Data Startups will vie for the 2012 IBM Global Entrepreneur Honors. Seclected from nearly 1000 applicants, the nine finalists will gather with the venture capital community in San Francisco at the end of January.

The ingenuity and innovation from the startup community is key to addressing the complex challenges cities and citizens face,” said Jim Corgel, general manager of entrepreneur programs at IBM. “These nine SmartCamp finalists represent the best new technologies from around the world. We will continue to work with them to help bring their solutions to market faster so that together we can build a smarter planet.”

Each startup participating at the SmartCamp Global Finals has created software that is designed to analyze large volumes of data. The finalists are:

  • BitCarrier: BitCarrier’s traffic management solutions analyze real-time traffic information providing current travel times, estimations on congestion rates and accident alerts (winner, SmartCamp Barcelona).
  • C-B4 Context Based 4Casting: CB4 has created a context-based system for identifying and analyzing hidden data patterns in large scale data warehouses. The system is particularly suited to the retail trade and customer relations management (winner, SmartCamp Tel Aviv).
  • ConnectM: ConnectM’s machine-to-machine technology uses advanced analytics to collect information from disparate systems to provide business intelligence. The solutions are developed specifically for the telecommunications, utilities and transportation industries (winner, SmartCamp Bangalore).
  • IDXP: IDXP’s consumer behavior solution installs sensors in stores and shopping carts to help retailers understand consumer behavior in real time (winner, SmartCamp Rio de Janeiro).
  • Localytics: Localytics provides a real-time analytics service that provides makers of mobile phone and tablet applications with a better understanding of user preferences and tendencies (winner, SmartCamp New York).
  • Palmap: Palmap’s mapping solution provides mobile users with real-time information for indoor activities such as navigating airports and shopping malls (winner, SmartCamp Shanghai).
  • Profitero: Profitero helps on-line retailers maximize profits via actionable competitor analytics (winner, SmartCamp London).
  • SecureWaters: SecureWaters’ patented technology continuously monitors, detects and identifies toxins in surface water. An early warning alarm system alerts clients to potential issues (winner, SmartCamp Austin).
  • SkinScan: SkinScan’s mobile application enables users to scan the moles on their bodies to measure their skin cancer threat levels. They also offer a cloud infrastructure for medical histories of patients and doctors (winner, SmartCamp Istanbul).

Read the Full Story.

 


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Slidecast: PerfectSearch – Big Data Search

In this slidecast, Tim Stay from PerfectSearch describes the company’s ultra-efficient search appliance software that is tailor-made for Big Data.

PerfectSearch’s patented software enables search up to a billion documents using a single private cloud appliance. Compared to other solutions that can require more than 10 times the number of servers, the PerfectSearch powered by Fujitsu solution is powerful and economical—even compared to open-source solutions, with lower equipment cost and fewer servers that reduce energy, replacement and administrative costs. Companies now have a cost-effective solution to index and search all content is searchable with a single query. The PerfectSearch powered by Fujitsu appliance uses unique technology that uses disk based indexing rather than memory, requiring a fraction of the hardware—realizing up to a 90% reduction in search-related hardware. These innovations built into the solution permit high-speed retrieval, drastically reduced hardware footprints, and extensive customization.

Read the Full Story * Download the MP3 * Subscribe on iTunes * Subscribe on other podcast players


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Sorting the Data Cloud Is the Next Big Thing


Malia Wollan writes that Startups like Splunk are encroaching on the turf of much larger companies like IBM in the world of Big Data.

There is a lot of money chasing this new world of unstructured data,” said Mr. Sullivan. “I would call Splunk the first mover in big data because we have been at this for years now.”

Read the Full Story.


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Interview: Whamcloud Puts a Shine on Lustre with Chroma GUI

Today Whamcloud announced its new Chroma management software for the Lustre file system. I saw an impressive demo of the Chroma beta back at ISC11 this past June, but now it’s ready for prime time. To find out more, I caught up with Robert Read, head of the New Products Group at Whamcloud.

insideHPC: What are you announcing today? What is Chroma?

Robert Read: Chroma is a purpose built system for virtualizing storage using the Lustre filesystem, including a new management console for easy configuration, maintenance and monitoring of clusters. It is designed to utilize enterprise-class storage for top performance with minimal interruptions. Chroma will be available through Whamcloud partners as a Lustre appliance.

insideHPC: Is this a first step towards bringing Lustre to the Enterprise?

Robert Read: Actually, the first step to bringing Lustre to the enterprise was to significantly raise the bar for Lustre stability. Lustre’s speed and scalability is well-known. But enterprises demand stability and dependable release schedules. Whamcloud and the Lustre community have been focused on stability and dependable releases over the last year and Lustre 2.1 came out this fall continuing this emphasis. Chroma is the next step. We’re using the core Lustre file system as the key component of a complete scalable storage solution.

insideHPC: Lustre has a reputation for being difficult to set up and maintain. Is Chroma designed to address these issues?

Robert Read: Yes. Chroma is deeply integrated with Lustre, and so it’s more than just “making Lustre easy.” Though that’s certainly a selling point. Chroma vastly simplifies installation, configuration, maintenance, monitoring, and fault diagnosis. It provides great insight into your storage system that otherwise would require exceptional Lustre skills and a serious do-it-yourself investment.

insideHPC: Will Lustre experts use Chroma instead of their trusty scripting, do you think, or will it get in the way?

Robert Read: I believe Lustre experts will use Chroma as they will love the amount of information it gives them about the Lustre storage systems. However, for this initial version the target customers generally have less complicated deployments and do not need heavy Lustre experts, but still want many of the advantages of utilizing Lustre. So one of our goals for this initial version of Chroma is to make Lustre manageable by non-experts.

insideHPC: What do you say to people who say they “don’t need a GUI” for Lustre?

Robert Read: I agree with them. You don’t need a GUI for creating or managing Lustre filesystem, though the live graphs are handy for real-time monitoring. What you do need, or at least what would be extremely helpful, is a centralized system for managing the storage and file system configuration. For instance, it can be troublesome to manage shared storage when you mange servers individually, but a central management system can detect all the shared devices and present them in a much more intuitive way. Chroma is about managing storage virtualization, with emphasis on Lustre, of course. The GUI is one interface for that, and naturally we’ll have a CLI as well.

insideHPC: How does Chroma compare to other management consoles out there?

Robert Read: I’m not an expert on all other management consoles, but a common approach I’ve seen is packaging a variety of existing solutions under one umbrella. The end result with this approach often leads to having silos of information, where the file system configuration is separate from the storage configuration, and performance stats are stored in a yet another place.

Chroma is a completely new system built from the ground up, and all aspects are tightly integrated. For instance, when we receive a notification from the storage subsystem that a particular disk is about to fail, then we know exactly which Lustre services are impacted. We can bring together information from multiple sources, such as storage events, Lustre metrics, system logs, etc., so the administrator has a unified view of what is going on in their storage system.

insideHPC: How is Chroma different from open source Lustre?

Robert Read: A large component – and a lot of the value of Chroma as a storage virtualization solution – comes from Lustre itself. What makes Chroma different from the community release of Lustre is the integrated management system that ties Lustre together with the underlying hardware. Chroma encapsulates provisioning, management and monitoring of Lustre filesystems in a single API and user interface. It is highly customizable and allows for plug-ins for custom actions and storage backends and an API for integration with third-party management tools.

insideHPC: Do you have a feature roadmap? What’s around the corner for Chroma?

Robert Read: We will definitely be extending Chroma to handle extreme scale deployments. We’re also very keen to solve large scale data management issues, and we’re exploring ways to provide a truly scalable single namespace solution to cloud applications. If Chroma would be helpful in your clustered environment, now is a great time to contact us and have a discussion. We would love to hear your issues and include your input.


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Podcast: BlueArc to Help HDS Conquer HPC & Unstructured Big Data

In this podcast, I interview Mike Gustafson and Bjorn Andersson of BlueArc. The company was recently acquired by Hitachi Data Systems.

Questions:

  • BlueArc already did a lot of OEM business with Hitachi Data Systems. What do you think was the most compelling reason why they decided to acquire BlueArc?
  • I always thought of HDS as an enterprise play, with limited traction in the HPC space. Will this change now that BlueArc is part of the company?
  • What does the global reach mean in terms of growth potential for the BlueArc business?
  • Big Data Analytics seems to be on everyone’s mind in the IT industry these days. How will BlueArc help HDS’s efforts to become a leader in Big Data?
  • Have you been part of an acquisition before? What do you think the greatest challenge will be as you move to integrate the two companies?

Download the MP3 * Subscribe on iTunes * Subscribe on other podcast players


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Intel Kicks Dough to Cloud, Analytics Startups

By Timothy Prickett Morgan • Get more from this author

Intel Capital, the investment arm of the supplier of chips for most of the world’s PCs and servers, is spreading around some of its vast wealth once again, trying to seed the applications that will ultimately drive its processor, chipset, and networking businesses.

The latest batch of dough that Intel Capital is investing in startups comes to over $24m, which is being shared by five companies that are getting their first fix of Intel cashish and two others who are coming back for. While Intel’s backing doesn’t ensure success in the software racket, Intel Capital, which has been around since 1991, has backed some pretty good horses, including Linux distributors Red Hat and SUSE, middleware maker JBoss (now part of Red Hat), database maker MySQL (part of Oracle these days), and Zend Technologies (amazingly, still not eaten).

Intel has invested over $10bn in 1,140 companies in those twenty years, with 191 of the companies going public and another 268 being acquired. Last year, Intel pumped $327m, in 119 different firms.

Revolution Analytics, which has commercialized the open source R statistical analysis programming language and goosed it with closed source extensions, came out of stealth mode in May 2010, but Intel kicked in an unspecified amount of Series A funding two years earlier, which was followed up with a $9m second round from Intel Capital and North Bridge Venture Partners in October 2009.

This second round was extended with another $8.6m a year later, and now Intel Capital is putting yet more money into the R specialists. Intel and did not specify how much money it invested in Revolution Analytics this time around and did not return calls for details at press time.

Gaikai, a cloud gaming company that streams 3D video games to Web browsers, also got some Intel cash. Back in July, Gaikai raised $30m in its third round of funding (which Intel participated in and is announcing today), bringing its total haul to $45m. Benchmark Capital is also an investor.

New to the Intel largesse are: DynamicOps, a maker of cloud automation tools; Guavus, which has created real-time analytics for service providers; IP Commerce, which peddles a platform as a service for e-commerce; Swrve New Media, which does social game analytics to help game coders make those games more interesting; and enLighted, which has created software to manage building lighting. ®

This article originally appeared in The Register. It appears here in its entirety as part of a cross-publishing agreement.


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Startup to Develop Big Apps for Big Data

GigaStacey writes about a new startup called nPario founded on the notion that scalable columnar databases are going to be needed to derive value from the Big Data we keep accumulating.

How would this work? In one cited example that sounds like a scene from Minority Report, nPario’s product for marketers takes in an array of demographics, web surfing history, and even IP addresses to serve up custom advertisements made just for your consumer DNA.

People are enamored by big data, but the next thing that happens is companies spend money storing it and looking for the big apps,” said nPario President and CEO Bassel Ojjeh. “If you can’t build scalable apps, then it doesn’t really matter. Your back is against the wall and the big apps have to follow the big data very quickly: otherwise it becomes a mirage of value.”

Read the Full Story.


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