Amazon and Oracle: The Love Affair Ends
November 14, 2014
I recall turning in a report about Amazon’s use of Oracle as its core database. The client, a bank type operation, was delighted that zippy Amazon had the common sense to use a name brand database. For the bank types, recognizable names used to be indicators of wise technological decisions.
I read “Amazon: DROP DATABASE Oracle; INSERT Our New Fast Cheap MySQL Clone.” Assume the write up is spot on, Amazon and Oracle have fallen out of love or at least beefy payments from Amazon for the sort of old Oracle data management system. This comment becomes quite interesting to me:
“This old-world relational database software is very expensive,” Jassy [Amazon tech VP] said. “They’re proprietary. There’s a high level of lock-in. And they’ve got punitive licensing terms, not just allowing very little flexibility in moving to the cloud the way customers want, but also in the auditing and fining of their customers.”
Several thoughts flitted through my mind as I kept one eye on the Philae gizmo:
- Amazon’s move, if it proves successful, may allow Mr. Bezos to mount a more serious attack on the enterprise market. Bad news for Oracle and possibly good news for those who want to save some Oracle bucks and trim the number of Oracle DBAs on the payroll
- Encourage outfits that offer enterprise cloud solutions. Will Amazon snap up some of the enterprise services and put the squeeze on Google and Microsoft?
- Trigger another round of database wars. Confusion and marketing hype often add a bit of spice to the Codd fest
- Cause concern among the commercial, proprietary NoSQL outfits. Think of MarkLogic and its ilk trying to respond to an Amazon package designed to make a 20 something developer jump up and down.
Interesting move by the digital WalMart.
Stephen E Arnold, November 14, 2014
Enterprise Search, Knowledge Management, & Customer Service: Some of the Study Stuff Ups Evident?
October 27, 2014
One of my two or three readers sent me a link to “The 10 Stuff Ups We All Make When Interpreting Research.” The article walks through some common weaknesses individuals make when “interpreting research.” I don’t agree with the “all” in the title.
This article arrived as I was reading a recent study about search. As an exercise on a surprisingly balmy Sunday afternoon in Kentucky, I jotted down the 10 “stuff ups” presented in the Interpreting Research article. Here they are in my words, paraphrased to sidestep plagiarism, copyright, and Google duplication finder issues:
- One study, not a series of studies. In short, an anomaly report.
- One person’s notion of what is significant may be irrelevant.
- Mixing up risk and the Statistics 101 notion of “number needed to treat” gets the cart before the horse.
- Trends may not be linear.
- Humans find what they want to find; that is, pre existing bias or cooking the study.
- Ignore the basics and layer cake the jargon.
- Numbers often require context. Context in the form of quotes in one on one interviews require numbers.
- Models and frameworks do not match reality; that is, a construct is not what is.
- Specific situations do matter.
- Inputs from colleagues may not identify certain study flaws.
To test the article’s premises, I I turned to a study sent to me by a persona named Alisa Lipzen. Its title is “The State of Knowledge Management: 2014. Growing role & Value of Unified Search in Customer Service.” (If the link does not work for you, you will have to contact either of the sponsors, the Technology Services Industry Association or Coveo, an enterprise search vendor based in Canada.) You may have to pay for the report. My copy was free. Let’s do a quick pass through the document to see if it avoids the “stuff ups.”
First, the scope of the report is broad:
1. Knowledge management. Although I write a regular column for KMWorld, I must admit that I am not able to define exactly what this concept means. Like many information access buzzwords, the shotgun marriage of “knowledge” and “management” glues together two abstractions. In most usages, knowledge management refers to figuring out what a person “knows” and making that information available to others in an organization. After all, when a person quits, having access to that person’s “knowledge” has a value. But “knowledge” is as difficult to nail down as “management.” I suppose one knows it when one encounters it.
2. Unified search. The second subject is “unified search.” This is the idea that a person can use a single system to locate information germane to a query from a single search box. Unified suggests that widely disparate types of information are presented in a useful manner. For me, the fact that Google, arguably the best resourced information access company, has been unable to deliver unified search. Note that Google calls its goal “universal search.” In the 1980s, Fulcrum Technologies (Ottawa, Canada) search offered a version of federated search. In 2014, Google requires that a user run a query across different silos of information; for example, if I require informatio0n about NGFW I have to run the query across Google’s Web index, Google scholarly articles, Google videos, Google books, Google blogs, and Google news. This is not very universal. Most “unified” search solutions are marketing razzle dazzle for financial, legal, technical, and other reasons. Therefore, organizations have to have different search systems.
3. Customer service. This is a popular bit of jargon. The meaning of customer service, for me, boils down to cost savings. Few companies have the appetite to pay for expensive humans to deal with the problems paying customers experience. Last week, I spent one hour on hold with an outfit called Wellcare. The insurance company’s automated system reassured me that my call was important. The call was never answered. What did I learn. Neither my call nor my status as a customer was important. Most information access systems applied to “customer service” are designed to drive the cost of support and service as low as possible.
“Get rid of these expensive humans,” says the MBA. “I want my annual bonus.”
I was not familiar with the TSIA. What is its mission? According the the group’s Web site:
TSIA is organized around six major service disciplines that address the major service businesses found in a typical technology company.
Each service discipline has its own membership community led by a seasoned research executive. Additionally, each service discipline has the following:
- Focused research agenda
- Dedicated research team
- Benchmark study
- Dedicated track at Technology Services World conferences
- Member Advisory Board
In addition, we have a research practice on Service Technology that spans across all service discipline focus areas.
My take is that TSIA is a marketing-oriented organization for its paying members.
Now let’s look at some of the the report’s key findings:
The people, process, and technology components of technology service knowledge management (KM) programs. This year’s survey examined core metrics and practices related to knowledge capture, sharing, and maintenance, as well as forward-looking elements such as video, crowd sourcing, and expertise management. KM is no longer just of interest to technical support and call centers. The survey was open to all TSIA disciplines, and 50% of the 400-plus responses were from groups other than support services, including 24% of responses from professional services organizations.
Amazon Learns from XML Adventurers
October 10, 2014
I recall learning a couple of years ago that Amazon was a great place to store big files. Some of the XML data management systems embraced the low prices and pushed forward with cloud versions of their services.
When I read “Amazon’s DynamoDB Gets Hugely Expanded Free Tier And Native JSON Support,” I formed some preliminary thoughts. The trigger was this passage in the write up:
many new NoSQL and relational databases (including Microsoft’s DocumentDB service) now use JSON-style document models. DynamoDB also allowed you to store these documents, but developers couldn’t directly work with the information stored in them. That’s changing today. With this update, developers can now use the AWS SDKs for Java, .NET, Ruby and JavaScript to easily map their JSON data to DynamoDB’s own data types. That turns DynamoDB in a fully-featured document store and is going to make life easier for many developers on the platform.
Is JSON better than XML? Is JSON easier to use than XML? Is JSON development faster than XML? Ask an XML rock star and the answer is probably, “You crazy.” I can hear the guitar riff from Joe Walsh now.
Ask a 20 year old in a university programming class, and the answer may be different. I asked the 20 something sitting in my office about XML and he snorted: “Old school, dude.” I hire only people with respect for their elders, of course.
Here are the thoughts that flashed through my 70 year old brain:
- Is Amazon getting ready to make a push for the customers of Oracle, MarkLogic, and other “real” database systems capable of handling XML?
- Will Amazon just slash prices, take the business, and make the 20 year old in my office a customer for life just because Amazon is “new school”?
- Will Amazon’s developer love provide the JSON fan with development tools, dashboards, features, and functions that push clunky methods like proprietary Xquery messages into a reliquary?
No answers… yet.
Stephen E Arnold, October 10, 2014
xx
Gartner and Enterprise Search 2014
July 31, 2014
At lunch yesterday, several search aware people discussed a July 2014 Gartner study. One of the folks had a crumpled image of the July 2014 “magic quadrant.” This is, I believe, report number G00260831. Like other mid tier consulting firms, Gartner works hard to find something that will hook customers’ and prospects’ attention. The Gartner approach is focused on companies that purport to have enterprise search systems. From my vantage point, the Gartner approach is miles ahead of the wild and illogical IDC report about knowledge, a “quotient,” and “unlocking” hidden value. See http://bit.ly/1rpQymz. Now I have not fallen in love with Gartner. The situation is more like my finding my content and my name for sale on Amazon. You can see what my attorney complained about via this link, http://bit.ly/1k7HT8k. I think I was “schubmehled,” not outwitted.
I am the really good looking person. Image source: http://bit.ly/1rPWjN3
What the IDC report lacks in comprehensiveness with regard to vendors, Gartner mentions quite a few companies allegedly offering enterprise search solutions. You must chase down your local Garnter sales person for more details. I want to summarize the points that surfaced in our lunch time pizza fest.
First, the Gartner “study” includes 18 or 19 vendors. Recommind is on the Gartner list even though a supremely confident public relations “professional” named Laurent Ionta insisted that Recommind was not in the July 2014 Gartner report. I called her attention to report number G00260831 and urged her to use her “bulldog” motivation to contact her client and Gartner’s experts to get the information from the horse’s mouth as it were. (Her firm is www.lewispr.com and its is supported to be the Digital Agency of the Year and on the Inc 5000 list of the fastest growing companies in America.) I am impressed with the accolades she included in her emails to me. The fact that this person who may work on the Recommind account was unaware that Gartner pegged Recommind as a niche player seemed like a flub of the first rank. When it comes to search, not even those in the search sector may know who’s on first or among the chosen 19.
To continue with my first take away from lunch, there were several companies that those at lunch thought should be included in the Gartner “analysis.” As I recall, the companies to which my motley lunch group wanted Gartner to apply their considerable objective and subjective talents were:
- ElasticSearch. This in my view is the Big Dog in enterprise search at the moment. The sole reason is that ElasticSearch has received an injection of another $70 million to complement the $30 odd million it had previously gather. Oh, ElasticSearch is a developer magnet. Other search vendors should be so popular with the community crowd.
- Oracle. This company owns and seems to offer Endeca solutions along with RightNow/InQuira natural language processing for enterprise customer support, the fading Secure Enterprise Search system, and still popping and snapping Oracle Text. I did not mention to the lunch crowd that Oracle also owns Artificial Linguistics and Triple Hop technology. This information was, in my view, irrelevant to my lunch mates.
- SphinxSearch. This system is still getting love from the MySQL contingent. Imagine no complex structured query language syntax to find information tucked in a cell.
There are some other information retrieval outfits that I thought of mentioning, but again, my free lunch group does not know what it does not know. Like many folks who discuss search with me, learning details about search systems is not even on the menu. Even when the information is free, few want to confuse fantasy with reality.
The second take away is that rational for putting most vendors in the niche category puzzled me. If a company really has an enterprise search solution, how is that solution a niche? The companies identified as those who can see where search is going are, as I heard, labeled “visionaries.” The problem is that I am not sure what a search visionary is; for example, how does a French aerospace and engineering firm qualify as a visionary? Was HP a visionary when it bought Autonomy, wrote off $8 billion, and initiated litigation against former colleagues? How does this Google supplied definition apply to enterprise search:
able to see visions in a dream or trance, or as a supernatural apparition?
The final takeaway for me was the failure to include any search system from China, Germany, or Russia. Interesting. Even my down on their heels lunch group was aware of Yandex and its effort in enterprise search via a Yandex appliance. Well, internationalization only goes so far I suppose.
I recall hearing one of my luncheon guests say that IBM was, according the “experts” at Gartner, a niche player.Gentle reader, I can describe IBM many ways, but I am not sure it is a niche player like Exorbyte (eCommerce mostly) and MarkLogic (XML data management). Nope, IBM’s search embraces winning Jeopardy, creating recipes with tamarind, and curing assorted diseases. And IBM offers plain old search as part of DB2 and its content management products plus some products obtained via acquisition. Cybertap search, anyone? When someone installs, what used to be OmniFind, I thought IBM was providing an enterprise class information retrieval solution. Guess I am wrong again.
Net net: Gartner has prepared the ground for a raft of follow on analyses. I would suggest that you purchase a copy of the July 2014 Gartner search report. You may be able to get your bearings so you can answer these questions:
- What are the functional differences among the enterprise search systems?
- How does the HP Autonomy “solution” compare to the pre-HP Autonomy solution?
- What is the cost of a Google Search Appliance compared to a competing product from Maxxcat or Thunderstone? (Yep, two more vendors not in the Gartner sample.)
- What causes a company to move from being a challenger in search to a niche player?
- What makes both a printer company and a Microsoft-centric solution qualified to match up with Google and HP Autonomy in enterprise search?
- What are the licensing costs, customizing costs, optimizing costs, and scaling costs of each company’s enterprise search solution? (You can find the going rate for the Google Search Appliance at www.gsaadvantage.gov. The other 18? Good luck.)
I will leave you to your enterprise search missions. Remember. Gartner, unlike some other mid-tier consulting firms, makes an effort to try to talk about what its consultants perceive as concrete aspects of information retrieval. Other outfits not so much. That’s why I remain confused about the IDC KQ (knowledge quotient) thing, the meaning of hidden value, and unlocking. Is information like a bike padlock?
Stephen E Arnold, July 31, 2014
Sponsors of Two Content Marketing Plays
July 27, 2014
I saw some general information about allegedly objective analyses of companies in the search and content processing sector.
The first report comes from the Gartner Group. The company has released its “magic quadrant” which maps companies by various allegedly objective methods into leaders, challengers, niche players, and visionaries.
The most recent analysis includes these companies:
Attivio
BA Insight
Coveo
Dassault Exalead
Exorbyte
Expert System
HP Autonomy IDOL
IBM
HIS
Lucid Works
MarkLogic
Mindbreeze
Perceptive ISYS Search
PolySpot
Recommind
Sinequa
There are several companies in the Gartner pool whose inclusion surprises me. For example, Exorbyte is primarily an eCommerce company with a very low profile in the US compared to Endeca or New Zealand based SLI Systems. Expert System is a company based in Italy. This company provides semantic software which I associated with mobile applications. IHS (International Handling Service) provides technical information and a structured search system. MarkLogic is a company with XML data management software that has landed customers in publishing and the US government. With an equally low profile is Mindbreeze, a home brew search system funded by Microsoft-centric Fabasoft. Dassault Exalead, PolySpot, and Sinequa are French companies offering what I call “information infrastructure.” Search is available, but the approach is digital information plumbing.
The IDC report, also allegedly objective, is sponsored by nine companies. These outfits are:
Attivio
Coveo
Earley & Associates
HP Autonomy IDOL
IBM
IHS
Lexalytics
Sinequa
Smartlogic
This collection of companies is also eclectic. For example, Earley & Associates does indexing training, consulting, and does not have a deep suite of enterprise software. IHS (International Handling Services) appears in the IDC report as a knowledge centric company. I think I understand the concept. Technical information in Extensible Markup Language and a mainframe-style search system allow an engineer to locate a specification or some other technical item like the SU 25. Lexalytics is a sentiment analysis company. I do not consider figuring out if a customer email is happy or sad the same as Coveo’s customer support search system. Smartlogic is interesting because the company provides tools that permit unstructured content to be indexed. Some French vendors call this process “fertilization.” I suppose that for purists, indexing might be just as good a word.
What unifies these two lists are the companies that appear in both allegedly objective studies:
Attivio
Coveo
HP
IBM
IHS (International Handling Service)
Sinequa
My hunch is that the five companies appearing in both lists are in full bore, pedal to the metal marketing mode.
Attivio and Coveo have ingested tens of millions in venture funding. At some point, investors want a return on their money. The positioning of these two companies’ technologies as search and the somewhat unclear knowledge quotient capability suggest that implicit endorsement by mid tier consulting firms will produce sales.
The appearance of HP and IBM on each list is not much of a surprise. The fact that Oracle Endeca is not in either report suggests that Oracle has other marketing fish to fry. Also, Elasticsearch, arguably the game changer in search and content processing, is not in either pool may be evidence that Elasticsearch is too busy to pursue “expert” analysts laboring in the search vineyard. On the other hand, Elasticsearch may have its hands full dealing with demands of developers, prospects, and customers.
IHS has not had a high profile in either search or content processing. The fact that International Handling Services appears signals that the company wants to market its mainframe style and XML capable system to a broader market. Sinequa appears comfortable with putting forth its infrastructure system as both search and a knowledge engine.
I have not seen the full reports from either mid tier consulting firm. My initial impression of the companies referenced in the promotional material for these recent studies is that lead generation is the hoped for outcome of inclusion.
Other observations I noted include:
- The need to generate leads and make sales is putting multi-company reports back on the marketing agenda. The revenue from these reports will be welcomed at IDC and Gartner I expect. The vendors who are on the hook for millions in venture funding are hopeful that inclusion in these reports will shake the money trees from Boston to Paris.
- The language used to differentiate and describe the companies referenced in these two studies is unlikely to clarify the differences between similar companies or make clear the similarities. From my point of view, there are few similarities among the companies referenced in the marketing collateral for the IDC and Gartner study.
- The message of the two reports appears to be “these companies are important.” My thought is that because IDC and Gartner assume their brand conveys a halo of excellence, the companies in these reports are, therefore, excellent in some way.
Net net: Enterprise search and content processing has a hurdle to get over: Search means Google. The companies in these reports have to explain why Google is not the de facto choice for enterprise search and then explain how a particular vendor’s search system is better, faster, cheaper, etc.
For me, a marketer or search “expert” can easily stretch search to various buzzwords. For some executives, customer support is not search. Customer support uses search. Sentiment analysis is not search. Sentiment analysis is a signal for marketers or call center managers. Semantics for mobile phones, indexing for SharePoint content, and search for a technical data sheet are quite different from eCommerce, business intelligence, and business process engineering.
A fruit cake is a specific type of cake. Each search and content processing system is distinct and, in my opinion, not easily fused into the calorie rich confection. A collection of systems is a lumber room stuffed with different objects that don’t have another place in a household.
The reports seem to make clear that no one in the mid tier consulting firms or the search companies knows exactly how to position, explain, and verify that content processing is the next big thing. Is it?
Maybe a Google Search Appliance is the safe choice? IBM Watson does recipes, and HP Autonomy connotes high profile corporate disputes.
Elasticsearch, anyone?
Stephen E Arnold, July 27, 2014
AMI: From Albert Search to Market Intelligence
July 10, 2014
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.
Huge Bets on Search: Spreadsheet Fever Rages
June 11, 2014
The news of the $70 million injected into Elasticsearch caused me to check out Crunchbase and some other sources of funding data. I looked at a handful of search and content processing vendors in the departures lounge. I am supposed to be retired, but Zurich beckons.
How large is the market for search and content processing software and services. As a former laborer in the vineyards of Halliburton Nuclear and Booz, Allen & Hamilton, the answer is, “You can charge as much as you want when the customer is in a corner.” The flipside of this adage is, “You can’t charge as much when there are many low cost options.”
In my view, search—regardless of the window dressing slapped on decades old systems and methods—is sort of yesterday. One of the goslings posted a list of Hewlett Packard’s verbal arabesques to explain IDOL search as everything EXCEPT search. The HP verbal arabesques make my point:
Search is not going to generate big money going forward.
Is search (regardless of the words used to describe it) a money pit like as the Tom Hanks’ motion picture made vivid?
For that reason, I am wondering what investors are thinking as they pump money into search and content processing companies. The largest revenue generator in the search sector is either Google or Autonomy. Google, as you may know, is in the online advertising business. Search is a Trojan horse. Search is free and the clicks trigger the GoTo/Overture mechanism that caused Google’s moment of inspiration. Before the Google IPO, Google ponied up some dough to Yahoo regarding alleged borrowing of pay to play methods.
Autonomy focused on the enterprise. Between 1996 and October 2011, Sir Michael Lynch grew the company to about $1 billion in revenues. HP’s prescient and always interesting management paid $10.3 billion for Autonomy and then wrote off $8 billion, aimed allegations at Autonomy at the company, and, in general, made it clear that HP was essentially a printer ink business with what seems to be great faith in IDOL, DRE, and assorted rich media tools.
More recently, IBM, the subject of an entertaining analysis The Decline and Fall of IBM by Robert X. Cringely suggested that Watson would grow to be a $10 billion in revenue business. Not a goal to ignore. The fact that Watson is a collection of home grown widgets and open source search technology. I think Watson’s last search contribution was creating a recipe for a tamarind flavored sauce. IBM is probably staffed with folks smarter than I. But a billion dollar bet with a goal of building a revenue stream 10 to 12 times greater than Autonomy’s in one third the time. Wowza.
Let’s do some simple addition in the elegant United lounge.
Let’s assume that IBM and HP actually generate the billions necessary to recover the cost of IDOL and hit the crazy IBM goal of $10 billion in four or five years. To make the math simple, skip interest, the cost of assuaging stakeholders, and the money needed to close deals that total $20 to $25 billion. HP pumps up Autonomy to $10 or $11 billion and IBM tallies another $10 to $12 billion.
So, HP and IBM need or want to build $10 billion or more in revenues from their respective search and content processing ventures. I estimated that the market for “search” was about $1.3 billion in 2006. I am not too sure that market has grown by a significant factor since the economic headwinds began blowing through carpetland.
Now consider the monies invested in some search and content processing companies.
Attensity (sentiment analysis), $90 million
BA Insight (Microsoft centric, search and business intelligence), $14.5 million
Content Analyst (text analysis, SAIC technology, $7.0 million
Coveo (originally all Microsoft all the time, now kitchen sink vendor), $34.7 million
Digital Reasoning (text analysis, no shipping product), $4.2 million
EasyAsk (natural language processing, several owners(, $20 million
Elasticsearch (open source search and consulting), $104 million
Hakia (semantic search), $23.5 million
MarkLogic (XML data management and kitchen sink apps), $73.6 million
Recorded Future (text analysis of Web content), $20.9 million
Recommind (similar to Autonomy method), $15 million
Sinequa (proprietary search and widgets), $5.3 million
X1 (search and new management), $12.2 million
ZyLab (search and licensed visualizations), $2.4 million
RSuite Incorporates Temis into Content Management Platform
May 8, 2014
RSuite content management users can now can tap into TEMIS, we learn from “RSuite CMS Leverages TEMIS’s Content Enrichment Capabilities to Deliver a Powerful Semantic Solution.” The partnership makes TEMIS’s semantic enrichment capabilities available to RSuite’s customers in the publishing, government, and corporate arenas. The deal was announced at this year’s MarkLogic World conference, held April seventh in San Francisco; both companies are MarkLogic partners.
The press release elaborates:
“RSuite CMS provides an intuitive user interface that minimizes actions required to execute complex searches across an entire set of content. The solution can globally apply metadata, dynamically organize massive amounts of documents into collections, package and distribute content to licensing partners, and enables customers to meet their multi-channel publishing goals.
“By leveraging TEMIS’s Luxid® Content Enrichment Platform, RSuite CMS can enable customers to automatically enrich their content with domain-specific metadata directly within their publishing workflows. This enables faster and more scalable content indexing, improved metadata consistency and governance, more efficient authoring, and more powerful search and discovery features within customer applications and portals.”
With its focus on publishing and media, RSuite strives to meet today’s ever-evolving publication challenges. The company serves such big names as HarperCollins, Audible, and Oxford University Press. RSuite was launched in 2000 and is located in Audubon, Pennsylvania.
With its collaborative platform, TEMIS adds domain-specific metadata to clients’ data, allowing publishers to supply more relevant information to their own audiences. TEMIS maintains several offices across Europe and North America.
Cynthia Murrell, May 08, 2014
Sponsored by ArnoldIT.com, developer of Augmentext
Trifles in Enterprise Search History
May 6, 2014
Search conferences are, in my experience, context free. The history of enterprise search is interesting and contains useful examples pertaining to findability. Stephen E Arnold’s new video is “Trifles from Enterprise Search History.” The eight minute video reviews developments from the late 1970s and early 1980s. These mini snapshots provide information about where some of the hottest concepts today originated. Do you think MarkLogic invented an XML data management system that could do search and analytics? The correct answer may be Titan Search. What about “inventing” an open source search business model. Do you think Lucid Imagination, now Lucid Works, cooked up the concept of challenging proprietary systems with community created software? The correct answer may be Fulcrum Technologies’ early concoction of home brew code with the WAIS server. What about the invention of jargon that permeates discussions of content processing. A good example is a “parametric cube”. Is this the conjuring of Spotfire and Palantir? Verity is, in Mr. Arnold’s view, the undisputed leader in this type of lingo in its attempts to sell search without using the word “search.” Grab some SkinnyPop and check out Trifles.
Kenneth Toth, May 6, 2014
Applied Relevance Changes Course with Shift to Epinomy
April 14, 2014
Applied Relevance is doing business as Epinomy. Among the leadership is Peter Auditore, an advocate of SAP and a former professional at the National Marine Fisheries Service.
Read more on the Epinomy team page:
“Peter Auditore is an innovative and strong leader with more than 25 years of experience in enterprise software sales, marketing, product marketing and communications. His entrepreneurial skills and research background enabled him to earn the positions of cofounder, Zona Research, Vice President, Hummingbird and President Survey.com in three technology startups. At SAP Labs in Palo Alto, CA he formed the industry’s first Business Influencer Group and leveraged social media to create MyventurePad.com a social media group for small business.”
In addition to Epinomy’s tie up with MarkLogic, a 13 year old company “poised for growth”, Epinomy the company works with WAND, a controlled term vendor.
Epinomy as a name echoes the words “electronic”, “opinion,” and “economy.” Now I have to remember how to spell it.
Emily Rae Aldridge, April 14, 2014
Sponsored by ArnoldIT.com, developer of Augmentext
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