FeaturedAMI: From Albert Search to Market Intelligence
Editor’s Note: This is information that did not make Stephen E Arnold’s bylined article in Information Today. That forthcoming Information Today story about French search and content processing companies entering the US market. Spoiler alert: The revenue opportunities and taxes appear to be better in the US than in France. Maybe a French company will be the Next Big Thing in search and content processing. Few French companies have gained significant search and retrieval traction in the US in the last few years. Arguably, the most successful firm is the image recognition outfit called A2iA. It seems that French information retrieval companies and the US market have been lengthy, expensive, and difficult. One French company is trying a different approach, and that’s the core of the Information Today story.)
In 1999, I learned about a Swiss enterprise search system. The working name was, according to my Overflight archive, was AMI Albert.The “AMI” did not mean friend. AMI shorthand for Automatic Message Interpreter.
Flash forward to 2014. Note that a Google query for “AMI” may return hits for AMI International a defense oriented company as well as hits to American Megatrends, Advanced Metering Infrastructure, ambient intelligence, the Association Montessori International, and dozens of other organizations sharing the acronym. In an age of Google, finding a specific company can be a challenge and may inhibit some potential customers ability to locate a specific vendor. (This is a problem shared by Thunderstone, for example. The game company makes it tough to locate information about the search appliance vendor.)
Basic search interface as of 2011.
Every time I update my files, I struggle to get specific information. Invariably I get an email from an AMI Software sales person telling me, “Yes, we are growing. We are very much a dynamic force in market intelligence.”
The UK Web site for the firm is www.amisw.co.uk. The French language Web site for the company is http://www.amisw.com/fr/. And the English language version of the French Web site is at http://www.amisw.com/fr/. The company’s blog is at http://www.amisw.com/fr/blog/, but the content is stale. The most recent update as of July 7, 2014, is from December 2013. The company seems to have shifted its dissemination of news to LinkedIn, where more than 30 AMI employees have a LinkedIn presence. The blog is in French. The LinkedIn postings are in English. Most of the AMI videos are in French as well.
Advanced Search Interface as of 2011.
The Managing Director, according to www.amisw.com/fr, is Alain Beauvieux. The person in charge of products is Eric Fourboul. The UK sales manager is Mike Alderton.
Mr. Beauvieux is a former IBMer and worked at LexiQuest, which originally formerly Erli, S.A. LexiQuest (Clementine) was acquired by SPSS. SPSS was, in turn, acquired by IBM, joining other long-in-the-tooth technologies marketed today by IBM. Eric
Fourboul is a former Dassault professional, and he has some Microsoft DNA in his background.
InterviewsElasticsearch: A Platform for Third Party Revenue
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
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