July 2, 2014
Making money from search and content processing is difficult. One company has made a breakthrough. You can learn how Mark Brandon, one of the founders of QBox, is using the darling of the open source search world to craft a robust findability business.
I interviewed Mr. Brandon, a graduate of the University of Texas as Austin, shortly after my return from a short trip to Europe. Compared with the state of European search businesses, Elasticsearch and QBox are on to what diamond miners call a “pipe.”
In the interview, which is part of the Search Wizards Speak series, Mr. Brandon said:
We offer solutions that work and deliver the benefits of open source technology in a cost-effective way. Customers are looking for search solutions that actually work.
Simple enough, but I have ample evidence that dozens and dozens of search and content processing vendors are unable to generate sufficient revenue to stay in business. Many well known firms would go belly up without continual infusions of cash from addled folks with little knowledge of search’s history and a severe case of spreadsheet fever.
Qbox’s approach pivots on Elasticsearch. Mr. Brandon said:
When our previous search product proved to be too cumbersome, we looked for an alternative to our initial system. We tested Elasticsearch and built a cluster of Elasticsearch servers. We could tell immediately that the Elasticsearch system was fast, stable, and customizable. But we love the technology because of its built-in distributed nature, and we felt like there was room for a hosted provider, just as Cloudant is for CouchDB, Mongolab and MongoHQ are for MongoDB, Redis Labs is for Redis, and so on. Qbox is a strong advocate for Elasticsearch because we can tailor the system to customer requirements, confident the system makes information more findable for users.
When I asked where Mr. Brandon’s vision for functional findablity came from, he told me about an experience he had at Oracle. Oracle owns numerous search systems, ranging from the late 1980s Artificial Linguistics’ system to somewhat newer systems like the late 1990s Endeca system, and the newer technologies from Triple Hop. Combine these with the SES technology and the hybrid InQuira formed from two faltering NLP systems, and Oracle has some hefty investments.
Here’s Mr. Brandon’s moment of insight:
During my first week at Oracle, I asked one of my colleagues if they could share with me the names of the middleware buyer contacts at my 50 or so named accounts. One colleague said, “certainly”, and moments later an Excel spreadsheet popped into my inbox. I was stunned. I asked him if he was aware that “Excel is a Microsoft technology and we are Oracle.” He said, “Yes, of course.” I responded, “Why don’t you just share it with me in the CRM System?” (the CRM was, of course, Siebel, an Oracle product). He chortled and said, “Nobody uses the CRM here.” My head exploded. I gathered my wits to reply back, “Let me get this straight. We make the CRM software and we sell it to others. Are you telling me we don’t use it in-house?” He shot back, “It’s slow and unusable, so nobody uses it.” As it turned out, with around 10 million corporate clients and about 50 million individual names, if I had to filter for “just middleware buyers”, “just at my accounts”, “in the Northeast”, I could literally go get a cup of coffee and come back before the query was finished. If I added a fourth facet, forget it. The CRM system would crash. If it is that bad at the one of the world’s biggest software companies, how bad is it throughout the enterprise?
Stephen E Arnold, July 2, 2014
May 22, 2014
The interview titled Text Analytics 2014: Jeff Catlin, Lexalytics on Breakthrough Analysis may be overstating its case when it is billed as a breakthrough analysis. Most of the questions cover state-of-the-industry topics and Lexalytics promotion. Catlin offers insight into the world of enterprise data and the future of the industry. For example, when asked about new features for 2014 and the near future, Catlin responded,
“As a company, Lexalytics is tackling both the basic improvements and the new features with a major new release, Sallience 6.0 which will be landing sometime in the second half of the year. The core text processing and grammatic parsing of the content will improve significantly, which will in turn enhance all of our core features of the engine. Additionally, this improved grammatic understanding will allow us to be the key to detecting intention, which is the big new feature in Salience 6.0”
Catlin repeats in several of his answers that the industry is in flux, and that vendors can only scramble to keep up, even going so far as to compare 2013 and 2014 enterprise data to the Berlin Wall. He describes two “fronts”, one involving improving core technology, and the other focused on vertical market prospects.
Chelsea Kerwin, May 22, 2014
November 25, 2013
With Google becoming more difficult to use, many professionals need a way to locate, filter, and obtain high value information that works. Silobreaker is an online service and system that delivers actionable information.
The co-founder of Silobreaker said in an exclusive interview for Search Wizards Speaks says:
I learned that in most of the organizations, information was locked in separate silos. The information in those silos was usually kept under close control by the silo manager. My insight was that if software could make available to employees the information in different silos, the organization would reap an enormous gain in productivity. So the idea was to “break” down the the information and knowledge silos that exists within companies, organizations and mindsets.
And knock down barriers the system has. Silobreaker’s popularity is surging. The most enthusiastic supporters of the system come from the intelligence community, law enforcement, analysts, and business intelligence professionals. A user’s query retrieves up-to-the-minute information from Web sources, commercial services, and open source content. The results are available as a series of summaries, full text documents, relationship maps among entities, and other report formats. The user does not have to figure out which item is an advertisement. The Silobreaker system delivers muscle, not fatty tissue.
Mr. Bjore, a former intelligence officer, adds:
Silobreaker is an Internet and a technology company that offers products and services which aggregate, analyze, contextualize and bring meaning to the ever-increasing amount of digital information.
Underscoring the difference between Silobreaker and other online systems, Mr. Bjore points out:
What sets us apart is not only the Silobreaker technology and our commitment to constant innovation. Silobreaker embodies the long term and active experience of having a team of users and developers who can understand the end user environment and challenges. Also, I want to emphasize that our technology is one integrated technology that combines access, content, and actionable outputs.
The ArnoldIT team uses Silobreaker in our intelligence-related work. We include a profile of the system in our lectures about next-generation information gathering and processing systems.
Stephen E Arnold, November 25, 2013
November 4, 2013
We posted a Search Wizards Speak with SearchYourCloud. You can locate the interview at this link. There are more than 60 interviews with experts in search, content processing, and analytics. The collection is available without charge. Why pay the azure chip crowd when you can get information from the folks who bring you information retrieval software and systems?
Stephen E Arnold, November 4, 2013
October 28, 2013
Semantria is a company focused on providing text and sentiment analysis to anyone. The company’s approach is to streamline the analysis of content to that in less than three minutes and for a nominal $1,000, the power of content processing can help answer tough business questions.
The firm’s founder is Oleg Rogynskyy, who has worked at Nstein (now part of Open Text) and Lexalytics. The idea for Semantria blossomed from Mr. Rogynskyy’s insight that text analytics technology was sufficiently mature so that it could be useful to almost any organization or business professionals.
I interviewed Mr. Rogynskyy on October 24, 2013. He told me:
At Semantria, we want to simplify and democratize access to text analytics technology. We want people to be able to get up and running in no time, with a small budget, and actually derive value from our technology. The classic story is you buy a system worth $100k and don’t deploy it.
Semantria focuses on a class of problems that a few years ago would have been outside the reach of many firms. He said:
We make it simple for our clients to solve the following problems: First, some organizations have too much text to read. For example, a Twitter stream or surveys with many responses. Also, there is the need to move quickly and reduce the time to get to market. Many survey results come with an expiry date before they’re irrelevant. Then there is reporting the information. Anyone can use their Excel smarts to build simple/interesting reports and visuals out of unstructured data. But that can take some time, and Semantria accelerates this step. Finally, users need to analyze text with the same impartiality each time. A human might see a glass as half full or half empty, but Semantria will always see a glass with water.
One of the most interesting aspects of Semantria is that the company delivers its solution as a cloud service. Mr. Rogynskyy observed:
We are happily in the cloud, and in the cloud we trust. We have android and iOS software development kits in the works, so whoever wants to talk to our API from mobile devices will be doing it with ease very soon.
You can get more information about Semantria at https://semantria.com.
This interview is one or more than 60 full-text interviews with individuals who are deeply involved in search, content processing, and analytics. You can find the full series at www.arnoldit.com/search-wizards-speak.
Stephen E Arnold, October 28, 2013
July 23, 2013
Stephen E Arnold, July 23, 2013
Sponsored by Xenky
July 3, 2013
SLI Systems is now listed on the New Zealand Exchange. CEO Shaun Ryan shares his thoughts on this and the enterprise search market in this Double Shot Interview that Interest.co.nz has posted to YouTube. In the 17-minute conversation with interviewer Andrew Patterson, Ryan is full of confidence as he shares his thoughts on the future of his company and his industry.
See the interview for more, but here are a few highlights. Ryan acknowledges that his company’s biggest competition is Endeca, who he says is the only company to surpass SLI. They actually found it helpful when Oracle bought Endeca, saying that move opened a “hole in the market.” Interesting.
Customer service is a priority for SLI. Since their business follows a SAS (software-as-a-service) model, customer retention is key, so taking good care of the best ones is “vital,” says Ryan. Besides, the company has gotten some of their best ideas from listening to customer suggestions.
SLI’s decision to go public comes after an average of 30 percent annual growth over last five years. The company considered going the private-venture-capital route, but the best options there would have required a move to the U.S. Though Ryan describes the process of becoming publically listed as difficult (and stresses the importance of a good CFO), he says it was worth it. Patterson asks, How big could the company grow? Ryan responds:
“We see there’s a lot of room for growth in ecommerce. Ecommerce is growing globally, in every country. The U.S. is the world’s largest ecommerce market, but it’s also growing in every country in the world. And you’ll find this, you’re shopping more online, your friends and family are shopping more and more online, that’s just a worldwide phenomenon, so we see there’s a lot of potential. And I’m sure, once you look at it, you’ll notice that search on a lot of websites is really poor, and you’ll sort of get a feel if you go and have a look at a few different websites, you’ll get a feel for how much of a need there is for our sort of services.”
We agree, there is no shortage of retail sites crying for improved search functionality. When asked what SLI hopes to achieve over the next five years, Ryan replies quite sensibly that they hope to continue to grow, pushing into more markets since “the whole world needs better search.” At the moment, SLI serves customers in the U.S., the U.K., Australia, New Zealand, and Brazil. Next in their sites is Japan, but Ryan emphasizes that they get customer requests from a number of other countries.
The interview concludes with Ryan’s thoughts on cultivating New Zealand’s tech industry. His two suggestion: turn out more qualified computer science graduates (that sounds familiar), and celebrate the success of companies who have done well. That is a category in which SLI Systems is happy to claim membership, and they show no signs of slowing down now.
Cynthia Murrell, July 03, 2013
June 17, 2013
The developer of Oorace is Search’XPR. The company has set up operations in New York to complement its two offices in France. You can read an exclusive interview with Jean-Luc Marini. I will explore the idea of software which goes beyond key word retrieval and facets in an upcoming KMWorld column. In the meantime, check out the interview on Search Wizards Speak. SWS is the largest collection of first-person explanations of concepts in search, content processing, and analytics. The entire collection is available from the index at http://arnoldit.com/wordpress/wizards-index/.
Stephen E Arnold, June 17, 2013
Sponsored by Xenky, the portal to ArnoldIT
April 4, 2013
Robert Steele has been a prescient thinking and actor in the intelligence sector for decades. In 1979 he was competitively selected to join the Central Intelligence Agency’s clandestine service. He spent nine years with the CIA, doing three tours overseas as a case officer recruiting and handling agents. In 1986, helped write the Marine Corps Master Intelligence Plan (MCMIP) as well as a plan for a Marine Corps Intelligence Center (MCIC). In the last 30 years, Mr. Steele has worked on a wide range of projects around the world.
In the interview which appeared in HighGainBlog, he said:
For all the money we spend on it, the secret world is not really providing the return on investment taxpayers should expect. Intelligence – decision support – is simply not being provided to everyone that needs it.
His views on the relationship of intelligence to decision support caught my attention as well. He said:
intelligence helps to emphasize that intelligence is synonymous with decision-support – the output of a very robust process of requirements definition, collection management, source discovery and validation, multi-source fusion, historically- and culturally-informed analytics, and the sharp visualization that answers an important question for a particular decision-making considering a particular decision challenge. Few realize that most of what is produced by the secret world is not intelligence at all. Rather, it is secret information that is generic in nature and often not useful to decision-makers.
Mr. Steele’s views on open source software identifies a trend which has been accelerating in the last few years. Proprietary software has issues which have added a turbo charger to open source software adoption. He asserted:
Proprietary software is unsafe, does not scale, and is unaffordable. I have been unhappy with all vendors for the past 40 years because not a single one of them is committed to helping people make sense of information – they focus on trapping customers into using them as a core system, make promises they cannot keep, and then over-charge for configuration management and data conversion. I am also very concerned about Google’s computational mathematics and programmable search engines – I have a very high regard for Google’s expertise, and a very low regard for the government’s ability to understand now Google can manipulate search outcomes and other forms.
For those interested in intelligence activities, the new Robert Steele interview is a must read. You can find the Steele 2013 interview in HighGainBlog. Mr. Steele’s Public Intelligence blog is a valuable resource.
Stephen E Arnold, April 4, 2013
Sponsored by Augmentext
March 20, 2013
Antonio S. Valderrábanos, founder of Bitext, recently granted an exclusive interview to the Arnold Information Technology Search Wizards Speak series. Bitext provides multilingual semantic technologies, with probably the highest accuracy in the market, for companies that use text analytics and natural language interfaces. The full text of the interview is available at http://www.arnoldit.com/search-wizards-speak/bitext-2.html.
Bitext provides B2B multilingual semantic technologies with probably the highest accuracy in the market. Bitext works for companies in two main markets: Text Analytics (Concept and Entity Extraction, Sentiment Analysis) for Social CRM, Enterprise Feedback Management or Voice of the Customer; and Natural Language Interfaces for Search Engines and Virtual Assistants. Visit Bitext at http://www.bitext.com. Contact information is available at http://www.bitext.com/contact.html.
Bitext is seeing rapidly growth, including recent deals with Salesforce and the Spanish government. The company has added significant and important technology to its multilingual content processing system.
In addition to support for more languages, the company is getting significant attention for its flexible sentiment analysis system. Valderrábanos gave this example: “flies” may be a noun, but also a verb. We say “time flies like an arrow” versus “fruit flies like bananas.” Bitext believes computers should be able to parse both sentences and get the right meaning. With that goal in mind, they started the development of an NLP (natural language processing) platform flexible enough to perform multilingual analysis just by exchanging grammars, not modifying the core engine.
He told ArnoldIT’s Search Wizards Speak:
Our system and method give us a competitive advantage with regards to quick development and deployment,” Valderrábanos said. “Currently, our NLP platform can handle 10 languages. Unlike most linguistic platforms, the Bitext API ‘snaps in’ to existing software.
Bitext’s main area of research is focused on deep language analysis, which captures the semantics of text. “Our work involves dealing with word meanings and truly understanding what they mean, interpreting wishes, intentions, moods or desires,” Valderrábanos explained. “We just need to know what type of content, according to our client, is useful for her business purposes, and then we program the relevant linguistic structures.” He added:
Many vendors advocate a ‘rip and replace’. Bitext does not. Its architecture allows our system to integrate with almost any enterprise application.”
Bitext already delivers accuracy, reliability and flexibility. In the future, the company will be focusing on bringing those capabilities to mobile applications. “IPads, tablet devices in general, and mobile phones are becoming the main computing devices in a world where almost everybody will be always online. This opens a new whole arena for mobile applications which will have to cater for any single need mobile users may have,” Valderrábanos said.
Donald C. Anderson, March 20, 2013