InQuira Inks Deal with Zebra

October 11, 2010

I learned that Zebra Technologies has selected InQuira’s natural language processing technology to enhance Zebra’s “knowledge solutions.” InQuira bills itself as a leading provider of self service and contact center support systems. Zebra’s business involves the design, manufacture, sales and supports a range of direct thermal and thermal transfer label printers, radio frequency identification (RFID) printer/encoders, dye sublimation card printers, and software.

According to CRM Marketplace,

InQuira for Web Self Service will allow Zebra to deliver customized and accurate results to partner queries initiated on its website any time of the day. Additionally, Zebra will utilize InQuira for Contact Centers to help increase agent productivity, lower training costs and improve the accuracy and satisfaction of every partner interaction.

InQuira, based in San Bruno, Calif., is an established vendor of natural language processing technology. A visitor to an InQuire-based support system can type a question in normal colloquial form. The system will parse the query, understand the user’s meaning, and display relevant information from the processed content.

The company was founded in 2002. My recollection is that two firms merged to create InQuira. I think one company was Answerfriend and the other was Electric Knowledge. In the last eight years, the engineers have supplemented search with work flow, authoring, analytics, and a feedback function.

The company was of interest to me because it was one of the first to take two search and content centric vendors, merge them, and create what appears to me a successful business. For more information about InQuira, navigate to www.inquira.com.

Stephen E Arnold, October 11, 2010

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Microsoft Suggests Google Instant Is No Big Deal

October 7, 2010

Microsoft and Google have never hidden their competiveness when it comes to trying to outdo one another. In the PC World article “Microsoft’s Yusuf Mehdi Pooh-Poohs Google Instant”, one of Microsoft’s VP’s discusses Google’s new instant feature. The new feature is designed to refresh users search results while they are typing their queries and describes the program as “search before you type”. Microsoft’s response to the new system is “Google Instant is technologically “impressive” but misses the mark in what search engines should do.” Microsoft contends that the service, though fast, misses the mark because it does not help users to narrow down the information they are looking for. Microsoft promises its Bing service will continue to focus more on providing users with more of the information that they want. It is convenient to get quick results but if the results are not helpful then the speed factor is really of little importance. Our view is that most users won’t know how to turn it off, so for casual consumers, Google Instant is the new Google.

April Holmes, October 7, 2010

Egentia: Another Aggregation Play

September 28, 2010

The newspaper is no longer the most sought after when it comes to finding the latest information. More and more people are putting down their paper and turning to online news to keep them informed. The company Eqentia aims to build a business portal that will have the same prestige for entrepreneurs that Google News has for the average user who wants to be informed about general news and developments.”

The article “Eqentia.com – Like Google News but For Businessmen” on KillerStartups.com explains a little more about the site. Basically, the company wants to allow users to customize their news options and get only the business news they want. Users can get the latest news from their business sector, keep an eye on the competition or see consumer patterns which can be helpful when coming up with marketing or media campaigns. A similar setup is already used by Silobreaker, which is dedicated to providing users with relevant news. Users perform automated searches in order to find in depth and relevant news instead of unsubstantiated chatter. Both sites give new meaning to the phrase “have it your way.”

The challenge seems to be marketing, not technology. There is an abundance of choices.

April Holmes, September 28, 2010

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i2, Inc. and Palantir

September 19, 2010

In a motion filed Monday Aug. 9, 2010, i2 filed a complaint explained in “Media Advisory from i2.” The plaintiff, www.i2.co.uk, makes allegations related to i2’s intellectual property. You can access the legal documents via Scribd. i2 and Palantir are involved in content processing, data management, and various analytics processes. More about i2 is here. More about Palantir is here. Years ago I did some work for i2 and learned that the firm’s technologies were widely used in intelligence, law enforcement, and related market sectors. Palantir is more of a newcomer. Palantir received an infusion of venture funding in 2010.

Stephen E Arnold, September 19, 2010

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SwiftRiver: Open Source Pushes into the Intel Space

September 13, 2010

If you are one of the social netizens, you know it isn’t easy to keep track of, manage, and organize the hundreds of Twitter streams, Facebook updates, blog posts, RSS feeds, or SMS that you keep getting. Do not feel helpless as SwiftRiver comes to your aid, which is a free open source intelligence-gathering platform for managing real-time streams of data streams. This unique platform consists of a number of unique products and technologies, and its goal is to aggregate the information from multiple media channels, and add context related to it, using semantic analysis.

SwiftRiver can also be used as a search tool, for email filtering, to monitor numerous blogs, and verify real-time data from various channels. It offers, “Several advanced tools (social graph mining, natural language processing, locations servers, and twitter analytics) for free use via the open API platform Swift Web Services.” According to the parent site Swiftly.org, “This free tool is especially for organizations who need to sort their data by authority and accuracy, as opposed to popularity.” SwiftRiver has the ability to act quickly on massive amounts of data, a feat critical for emergency response groups, election monitors, media, and others.

swift river

There are multiple Swift Rivers. You want the one at http://swift.ushahidi.com or http://swiftly.org/.

Ushahidi, the company behind this initiative claims, “The SwiftRiver platform offers organizations an easy way to combine natural language/artificial intelligence process, data-mining for SMS and Twitter, and verification algorithms for different sources of information.” Elaborating further it states, “SwiftRiver is unique in that there is no singular ‘SwiftRiver’ application. Rather, there are many, that combine plug-ins, APIs, and themes in different ways that are optimized for workflows.”

Presently SwiftRiver uses the Sweeper App, the Kohana MVC UI, the distributed reputation system RiverID, and SwiftWebServices (SWS) as the API platform. The beauty here is that SwiftRiver is just the core, and it can have any UI, App, or API. It also has an intuitive and customizable dashboard, and the “users of WordPress and Drupal can add features like auto-tagging and more using Swift Web Services.” While you may download SwiftRiver and run it on your web server, SWS is a hosted cloud service, and does not need to be downloaded and installed.

Harleena Singh, September 13, 2010

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RSS Readers Dead? And What about the Info Flows?

September 13, 2010

Ask.com is an unlikely service to become a harbinger of change in content. Some folks don’t agree with this statement. For example, read “The Death Of The RSS Reader.” The main idea is that:

There have been predictions since at least 2006, when Pluck shut its RSS reader down that “consumer RSS readers” were a dead market, because, as ReadWriteWeb wrote then, they were “rapidly becoming commodities,” as RSS reading capabilities were integrated into other products like e-mail applications and browsers. And, indeed, a number of consumer-oriented RSS readers, including News Alloy, Rojo, and News Gator, shut down in recent years.

The reason is that users are turning to social services like Facebook and Twitter to keep up with what’s hot, important, newsy, and relevant.

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An autumn forest. Death or respite before rebirth?

I don’t dispute that for many folks the RSS boom has had its sound dissipate. However, there are several factors operating that help me understand why the RSS reader has lost its appeal for most Web users. Our work suggest these factors are operating:

  1. RSS set up and management cause the same problems that the original Pointcast, Backweb, and Desktop Data created. There is too much for the average user to do and then too much on going maintenance required to keep the services useful.
  2. The RSS stream outputs a lot of baloney along with the occasional chunk of sirloin. We have coded our own system to manage information on the topics that interest the goose. Most folks don’t want this type of control. After some experience with RSS, my hunch is that many users find them too much work and just abandon them. End users and consumers are not too keen on doing repetitive work that keeps them from kicking back and playing Farmville or keeping track of their friends.
  3. The volume of information in itself is one part of the problem. The high value content moves around, so plugging into a blog today is guarantee that the content source will be consistent, on topic, or rich with information tomorrow. We have learned that lack of follow through by the creators of content creators is an issue. Publishers know how to make content. Dabblers don’t. The problem is that publishers can’t generate big money so their enthusiasm seems to come and go. Individuals are just individuals and a sick child can cause a blog writer to find better uses for any available time.

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Oracle Keeps Pushing into Business Intelligence

September 12, 2010

It’s like following a trail in the woods made by a Hummer. Tough to miss. Deer get the heck out of the way—usually. Smaller critters may not know what’s about to happen when the metal beastie crunches their carapace. Oracle made a big stride into the business intelligence domain with its new Oracle Business Intelligence 11g. It was officially released in August 2010 and accelerated into the tender pines dainty flowers that make up the US business intelligence market.

From the beginning Oracle BI solutions have retained some of the popular stable features from Seibel Analytics and that has not changed with 11g. the newer version does have some great features, presentation and business analysis features which are a good improvement over the previous versions. However, the real enhancements can only be appreciated by someone who has used OBIEE 10.1.3.4. Steve Callan in his The Old and New of Oracle Business Intelligence” asserted, “There may be lots of changes you can’t or won’t appreciate if you don’t know what it was like in past.”

Just like Hummers. Big, powerful, and sometimes tough to avoid.

Martin Brooke, September 12, 2010

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Twitter: New Monetizing Play?

August 14, 2010

Data and text mining boffins like to crunch “big data.” The idea is that the more data one has, the less slop in the wonky “scores” that fancy math slaps on certain “objects.” Individuals think that his / her actions are unique. Not exactly. The more data one has about people, the easier it is to create some conceptual pig pens and push individuals in them. If you don’t know the name and address of the people, no matter. Once a pig pen has enough piggies in it (50 is a minimum I like to use as a lower boundary), I can push anonymous “users” into those pig pens. Once in a pig pen, the piggies do some predictable things. Since I am from farm country, piggies will move toward chow. You get the idea.

When I read “Twitter Search History Dwindling, Now at Four Days”, I said to myself, “Twitter can charge for more data.” Who knows if I am right, but if I worked at Twitter, I can think of some interesting outfits who might be interested in paying for deep Twitter history. Who would want “deep Twitter history?” Good question. I have written about some outfits, and I have done some interviews in Search Wizards Speak and the Beyond Search interviews that shed some light on these folks.

What can a data or text miner do with four days’ data? Learn that he / she needs a heck of a lot more to do some not-so-fuzzy mathy stuff.

Stephen E Arnold, August 14, 2010

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Sinequa Hits $13 Million in Revenues

August 9, 2010

French enterprise search and content processing vendor Sinequa revealed that its revenues for the 2009-2010 fiscal year were $12.8 million. That’s close enough to $13 million for the addled goose. According to a story in IT Director:

Sinequa announces revenues of $12.8 million for the fiscal year ended December 31, 2009. This is the seventh consecutive year that the company has been operationally profitable. 85% of revenue comes from license sales and maintenance and 15% comes from services and consulting.

The story quoted Jean Ferré, President & CEO of Sinequa as saying:

In the last months, Sinequa signed several contracts worth over a million dollars, two of which exceeded two million dollars. This increase in the size of contracts and our turnover is a result of the technological maturity of Sinequa Enterprise Search 7 in a market that is beginning to take shape. We do not only provide a technological platform, but a complete application: this is why our customers select Sinequa. All these contracts have been won after being in competitive Proof-Of-Concepts where Sinequa demonstrated its technological strength.

In late July 2010, the company revealed that it was thinking about and maybe working on context based search and rich user interfaces.  The blog post by M. Ferré revealed:

Nous voila au début d’une disruption industrielle. Nous allons assister à une incroyable transformation de la façon dont les entreprises servent leurs clients et se présentent au marché. Un changement dans la manière d’aider les salariés à travailler efficacement, avec le contexte approprié et toujours en temps réel. Il me tarde d’être dans la section VIP du monde commercial et industriel: travailler dans une entreprise et n’interagir qu’avec des entreprises ou administrations qui utilisent efficacement ces technologies intelligentes. Arrêter de cliquer, scroller, naviguer, et simplement faire l’expérience agréable d’une transition évidente de mon contexte personnel vers les réponses à mes questions. Pour de vrai, cela va changer nos vies en beaucoup mieux.

The purchase of Exalead by Dassault Systems raised the stakes for other French companies in Exalead’s market space. Congratulations to the Sinequa team. Now the company needs to find a way to build its impact in markets outside of France. Maybe ArnoldIT.com’s weaponized information method will be the rosé that works?

Stephen E Arnold, August 9, 2010

Minority Report and Reality: The Google and In-Q-Tel Play

August 9, 2010

Unlike the film “Minority Report”, predictive analytics are here and now. More surprising to me is that most people don’t realize that the methods are in the cateogry of “been there, done that.”

I don’t want to provide too much detail about predictive methods applied to military and law enforcement. Let me remind you, gentle reader, that using numerical recipes to figure out what is likely to happen is an old, old discipline. Keep in mind that the links in this post may go dead at any time, particularly the link to the Chinese write up.

There are companies who have been grinding away in this field for a long time. I worked at an outfit that had a “pretzel factory”. We did not make snacks; we made predictions along with some other goodies.

In this blog I have mentioned over time companies who operate in this sector; for example, Kroll, recently acquired by Altegrity and Fetch Technologies. Now that’s a household name in Sioux City and Seattle. I have even mentioned a project on which I worked which you can ping at www.tosig.com. Other hints and clues are scattered like wacky Johnny Appleseed trees. I don’t plan on pulling these threads together in a free blog post.

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© RecordedFuture, 2010. Source: http://www.analysisintelligence.com/

I can direct your attention to the public announcement that RecordedFuture has received some financial Tiger Milk from In-Q-Tel, the investment arm of one of the US government entities. Good old Google via its ventures arm has added some cinnamon to the predictive analytics smoothie. You can get an acceptable run down in Wired’s “Exclusive: Google, CIA Invest in ‘Future’ of Web Monitoring.” I think you want to have your “real journalist” baloney detector on because In-Q-Tel invested in RecordedFuture in January 2010, a fact disclosed on the In-Q-Tel Web site many moons ago. RecordedFuture also has a Web site at www.recordedfuture.com, rich with marketing mumbo jumbo, a video, and some semi-useful examples of what the company does. I will leave the public Web site to readers with some time to burn. If you want to get an attention deficit disorder injection, here you go:

The Web contains a vast amount of unstructured information.  Web users access specific content of interest with a variety of  Websites supporting unstructured search.  The unstructured search approaches clearly provide tremendous value but are unable to address a variety of classes of search.   RecordedFuture is aggregating a variety of Web-based news and information sources and developing semantic context enabling  more structured classes of search.  In this presentation, we present initial methods for accessing and analyzing this structured content.   The RJSONIO package is used to form queries and manage response data.  Analytic approaches for the extracted content include normalization and regression approaches.  R-based visualization approaches are complemented with data presentation capabilities of Spotfire.

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