Lucid Works: Pando Daily Sets the Record Straight

September 23, 2014

On LinkedIn I learned about this Pando Daily write up: “How Disgruntled Ex-Employees and Bad Reporting Hung LucidWorks Out to Dry.” I noted the Venture Beat analysis of Lucid Works in my post on September 6, 2014. My focus was the wild and crazy information from an “expert” about various factoids. You can read my reaction to the “Trouble at LucidWorks” story here.

The Pando Daily story comes at the issue in a different way. I was delighted to see that Pando found the “expert’s” comments a bit wobbly. There was an interesting run down about Lucid Works that seems to have come from a different point of view. In a way, the two stories—Venture Beat’s and Pando Daily’s—are a bit like the he said, she said information provided to police investigating a married couple’s disturbing the peace incident. I am no cop, so I can’t figure out who is correct and who is incorrect.

Pando takes this tack:

More accurately: It’s [Lucid Works] a startup, and this shit is hard.

I understand that search is hard, but is an eight year old company a start up? That time span baffled me. Coveo asserts that it too is a start up. Other search vendors dating from the implosion of the Big Five in 2006 also use the start up moniker.

the article points out that there are happy employees and positive investors. More money is likely to be needed. Pando Daily quotes a backer as saying:

We won’t start looking for an expansion round until early next year.

ElasticSearch has amassed about $90 million in funding. So LucidWorks may be thinking it needs the same scale of investment to take wing.

With regard to management, Pando Daily reports that the new top dog is the type of CEO who can deliver revenues. The new president—Will Smith—is described in this context:

On this point, VentureBeat seems oddly hung up on the idea that Hayes is a first-time CEO, perhaps failing to realize that Silicon Valley was (and continues to be) literally built on the success of first-time CEOs. Not to over egg the point, but Mark Zuckerberg and Steve Jobs were first-time CEOs.

Pando Daily added:

As an early member of the Splunk team, Hayes is certainly more qualified for this job than 99 percent of the candidates out there, and more importantly, given that he didn’t found the company, he appears excited about the category.

Pando Daily reminded me that good start ups fire people. I understand the difference between the Silicon Valley approach to management and that practiced at Halliburton and Booz, Allen & Hamilton where I worked for many years. The idea of stability is not always congruent with the needs of a fast moving, pivoting technology company.

Pando Daily also takes issue with Venture Beat’s report that Lucid Works fumbled deals with some real big companies. Pando Daily asserted:

These accounts may or may not have any basis in reality, but they hardly indicate a failing company. The very nature of sales and business development is that deals fall apart all the time. Sometimes those are big deals, sometimes not. The facts are that LucidWorks counts Apple, Sears, Verizon, ADP, Raytheon, Zappos, Qualcomm, Ford, eHarmony, Cisco, and others among current customers.

My reaction to this is okay, but won’t naming these firms give ElasticSearch and other firms a target at which to shoot. Some content processing vendors like Palantir and Recorded Future don’t provide too much information about their customers.

On the all important revenue front, Pando Daily quoted the new top dog at Lucid Works as saying:

“$12 million in services revenue isn’t worth shit,” Hayes says. “But $12 million in product sales on subscription? That’s a $100 million business.”

I agree. Unless the subscriber terminates the subscription. As the competition among content processing vendors heats up, some firms will be quite aggressive in their attempts to take away business. Amazon, for example, seems to be struggling with search, but it could get its act together and offer both a good enough solution at very competitive prices. Amazon is not the only sharp toothed outfit in the pond.

Pando Daily tracked down its own search wizard. That poobah said:

Not everyone agrees that enterprise search is quite this sexy. One enterprise analyst, speaking to Pando on the condition of anonymity, describes it as “not that big of an end market.” But at the same time, it’s one that’s still out there for the taking. “There isn’t really a single company or set of companies that have dominant products in the space,” this analyst says. Google and Microsoft have entered the market (the latter via acquisition) with low-cost offerings that would seem to make the competitive environment more challenging for LucidWorks and other upstarts. But according to the company’s supporters, these products are targeting different, less big data-centric applications and are thus not a valid comparison.

If you have ever listened to opposing expert witnesses in a legal dispute, the same factoid gets very different treatment by each expert. That’s what makes subjective expertise difficult to interpret. My view is that enterprise search is struggling for credibility. Some of the value for information retrieval has been exhausted by vendors now out of business. These include Convera, Delphes, Entopia, Siderean, and others. Some credibility has been eroded as a result of the Fast Search & Transfer matter. The CEO was hit with a jail term and a ban on working in search for a couple of years. Then there is the on going dispute between Hewlett Packard and Autonomy. IDOL is an aging technology like Endeca. But the mud slinging about search and content processing does not improve the image of those working in this sector.

Consequently information retrieval companies are working overtime to explain their solutions in terms that do not invoke memories of Convera or Fast Search. Palantir is a data mining company. Record Future does predictive analytics. Coveo is eDiscovery and customer support. Search vendors are using a wide range of jargon to describe findability. Lucid Works is brave in using enterprise search with a dash of Big Data in its marketing.

Pando Daily said:

Journalism is tough, particularly in the technology sector. Reporters in this industry asked to cover complex and rapidly evolving companies that often take on hordes of venture cash and set outrageous performance expectations. Unseemly as it may be, stories of failure and calamity make for good scoops, and in these cases ex-employees and competitors often make the best sources. Unfortunately, they also can be the most biased sources and are often are in the best position to credibly lead a journalist astray. LucidWorks certainly has its warts and its scars. But that doesn’t make it trouble, that only makes it a startup.

One question remains: When does a company cease to be a start up and start to be a viable company? Is it one years, four years, or eight years? I just don’t know, but I think that companies that have been in business for almost a decade may not be start ups. Management with a start up mentality may not want to face the cold realities expected of established, stable firms. With Lucid’s technology originating with a community, management may be the issue to watch at Lucid Works. Good management can produce revenue, happy employees, and contented customers. Its absence is often evidenced by a lack of harmony.

Stephen E Arnold, September 23, 2014

Concept Searching: More Smart Content Rah Rah

September 23, 2014

I read “Concept Searching Taxonomy Workflow Tool solving Migration, Security, and Records Management Challenges.” This is a news release and it can disappear at any time. Don’t hassle me if it is a goner. The write up walks me rapidly into the smart content swamp. The idea is that content without indexing is dumb content. Okay. Lots of folks are pitching the smart versus dumb content idea now.

The fix? Concept Searching provides a smart tool to make content intelligent; that is, include index terms. For the youngster at heart, “indexing” is the old school word for metadata.

The company’s news announcement asserts:

conceptTaxonomyWorkflow serves as a strategic tool, managing enterprise metadata to drive business processes at both the operational and tactical levels. It provides administrators with the ability to independently manage access, information management, information rights management, and records management policy application within their respective business units and functional areas, without the need for IT support or access to enterprise-wide servers. By effectively and accurately applying policy across applications and content repositories, conceptTaxonomyWorkflow enables organizations to significantly improve their compliance and information governance initiatives.

The product name is indeed a unique string in the Google index. The company asserts that the notion of a workflow is strategic. Not only is workflow strategic, it is also tactical. For some, this is a two for one deal that may be heard to resist. The tool allows administrators to perform what appears to be tasks I think of “editorial policy” or as the young at heart say, information governance.

The only issue for me is that the organizations with which I am familiar have pretty miserable information governance methods. What I find is that organizations have Balkanized methods for dealing with digital information. Examples of poor information governance fall readily to hand. The US court system removed public documents only to reinstate them. The IRS in the US cannot locate email. And when the IRS finds an archive of the email, the email cannot be searched. And, of course, there is Mr. Snowden. How many documents did he remove from NSA servers?

The notion that the CTW tool makes it possible to “apply policy across applications and content repositories” sounds absolutely fantastic to a person with indexing experience. There is a problem. Many organizations do not understand an editorial policy or are willing to do much more than react when something goes off the tracks. The reality is that the appetite for meaningful action is often not in commercial enterprises or government entities. Budgets remain tight. Reducing information technology budgets is often a more important goal than improve information technology.

What’s this mean?

My hunch is that Concept Searching is offering a product for an organization that [a] has an editorial policy in place or [b] wants to appear to be taking meaning steps toward useful information governance.

The president of Concept Searching is taking a less pragmatic approach to selling this tool. Martin Garland, according to the company story, states:

Managing metadata and auto-classifying to taxonomies provides high value in applications such as search, text analytics, and business social. But many forward thinking organizations are now looking to leverage their enterprise metadata and use it to improve business processes aligned with compliance and information governance initiatives. To accomplish this successfully, technologies such as conceptTaxonomyWorkflow must be able to qualify metadata and process the content based on enterprise policies. A key benefit of the product is its ease of use and rapid deployment. It removes the lengthy application development cycle and can be used by a large community of business specialists as well as IT.

The key benefit, for me, is that a well conceived and administered information policy eliminates risks of an information misstep. I would suggest that the Snowden matter was a rather serious misstep.

One assumes that companies have information policies, stand behind them, and keep them current. This strikes me as a quite significant assumption.

A similar message is now being pushed by Smartlogic, TEMIS, WAND, and other “indexing” companies.

Are these products delivering essentially similar functionality? Is any system indexing with less than a 10 percent error rate? Are those with responsibility for figuring out what to do with the flood of digital information equipped to enforce organization wide policies? And once installed, will the organization continue to commit resources to support tools that manage indexing? What happens if Microsoft Azure Search and Delve deliver good enough indexing and controls?

These are difficult questions to answer. Based on the pivoting content processing vendors are doing, most companies selling information solutions are trying to find a way to boost revenues in an exhausting effort to maintain stable cash flows.

Does anyone make an information governance tool that keeps track of what information retrieval companies market?

Stephen E Arnold, September 23, 2014

Mondeca: Content IQ

September 23, 2014

I reacted strongly to the IDC report about the knowledge quotient. IDC, as you know, is the home of the fellow who sold my content on Amazon without written permission. I learned that Mondeca is using a variant of “knowledge quotient.” This company’s approach taps the idea of the intelligence quotient of content.

I interpret content with a high IQ in a way that is probably not what Mondeca intended. Smart content is usually content that conveys information that I find useful. Modena, like other purveyors of indexing software, uses the IQ to refer to content that is indexed in a meaningful way. Remember if the users do not use the index terms, assigning these terms to a document does not help a user. Effective indexing helps the user find content. In the good old days of specialist indexing, users had to learn the indexing vocabulary and conventions. Today users just pump 2.7 words into a search box and feel lucky.

Like vendors of automated indexing systems and software, humans have to get into the mix.

One twist Modena brings to the content IQ notion is a process that helps a potential licensee answer the question, “How smart is your content?” For me, poorly indexed content is not smart. The content is simply poorly indexed.

I navigated to the “more information” link on the Content IQ page and learned that answering the question costs 5000 Euros, roughly $6,000.

Like the knowledge quotient play, smart content and allied jargon make an effort to impart a halo of magic around a pretty obvious function. I suppose that in today’s market, clarity is not important. Marketing magic is needed to create a demand for indexing.

I believe professionally administered indexing is important. I was one of the people responsible for creating the ABI/INFORM controlled vocabulary revision and the reindexing of the database in 1981. Our effort involved controlled terms, company name fields, and a purpose built classification system.

Some day automated systems will be able to assign high value index terms without humans. I don’t think that day has arrived. To create smart content, have smart people write it. Then get smart, professional indexers to index it. If a software system can contribute to the effort, I support that effort. I am just not comfortable with the “smart software” trend that is gaining traction.

Stephen E Arnold, September 23, 2014

Luxid: Positioning Adjustments

September 23, 2014

Luxid, based in Paris, offers an automatic indexing service. The company has focused on the publishing sector as well a number of other verticals. The company uses the phrase “semantic content enrichment” to describe the companies indexing. The more trendy phrase is “metatagging,” but I prefer the older term.

The company also uses the term “ontology” along with references to semantic jargon like “triples.” The idea is that a licensee can select a module that matches an industry sector. WAND, a competitor, offers a taxonomy library. The idea is that much of the expensive and intellectually demand work needed to build a controlled vocabulary from scratch is sidestepped.

The positioning that I find interesting is that Luxid delivers “NLP enabled ontology management workflow.” The idea is that once the indexing system is installed, the licensee can maintain the taxonomy using the provided interface. This is another way of saying that administrative tools are included. Another competitor, Smartlogic, uses equally broad and somewhat esoteric terms to describe what are essential indexing operations.

Like other search and content processing vendors, Luxid invokes the magic of Big Data. Luxid asserts, “Streamlined, Big Data architecture offers improved scalability and robust integration options.” The point that indexing processes often stub toes is the amount of human effort and machine processing time required to keep and index updated and populate the new content across already compiled indexes. Scalability can be addressed with more resources. More resources often means increased costs, a challenge for any indexing system that deals with regular content, not just Big Data.

Will the revised positioning generate more inquiries and sales leads? Possibly. I find the wordsmithing content processing vendors use fascinating. The technology, despite the academic jargon, has been around since the days of Data Harmony and other aging methods.

The key points, in my view, is that Luxid offers a story that makes sense. The catnip may be the jargon, the push into publishing which is loath to spend for humans to create indexes, and the packaging of vocabularies into “Skill Cartridges.”

I anticipate that some of Luxid’s competitors will emulate the Luxid terminology. For many years, much of the confusion about which content processing does what can be traced to widespread use of jargon.

Stephen E Arnold, September 22, 2014

Watson = Google. IBM, Of Course!

September 22, 2014

I read “How IBM’s Watson Could Do for Analytics What Search Did for Google.” I urge you to flip through a math book like Calculus on Manifolds: A Modern Approach to Classical Theorems of Advanced Calculus. Although an older book, some of its methods are now creeping into the artificial intelligence revolution that seems to be the next big thing. Then read the Datamation write up.

IBM is rolling out a “freemium model to move Watson, their [sic] English language AI interface for analytics, into the market more aggressively.” What could be more aggressive than university contents, recipes for Bon Appétit, and curing cancer?

The article points out that the only competitor to Watson is Google. Well, that’s an interesting assertion.

Google put an interface on search I learned. The rest is Google’s dominance. Now IBM wants to put an interface on analytics, and—I assume it follows to the thinkers at IBM—IBM’s dominance will tag along.

The article asserts:

We often talk about analytics needing data scientists who have a unique skill set, allowing them to get out the answers needed from highly complex data repositories.  Since the results of the analysis are supposed to lead to better executive decisions the ideal skill set would have been an MBA Data Scientist, yet I’ve actually never seen one of those. Folks who are good at deep analysis and folks that are good at business tend to be very different folks, and data scientists are in very short supply at the moment.

Well, someone has to:

  • Select numerical recipes
  • Set thresholds
  • Select process sequences
  • Select data and ensure that they are valid
  • Set up outputs, making decisions about what to show and what not to show
  • Modify when the outputs do not match reality. (I realize that this step is of little interest to some analytics users.)

The article concludes:

The Freemium model has similar advantages. So if you wrap a product that line executives should prefer with an economic model that removes most of the financial barriers, you should end up with a solution that does for IBM what Search did for Google. And that could do some interesting things to the analytics market, creating a similar set of conditions to those that put IBM on top of technology in the last century.

What’s a freemium model? What’s the purpose of the analysis? What’s the method to validate results? What controls does a clueless user have over the Watson system?

Oh, wait. Watson is a search system. Google is a search system that people use. Watson is a search system that few use. Also, IBM still sells mainframes. This is a useful factoid to keep in mind.

Stephen E Arnold, September 22, 2014

Lucid Works: Really?

September 21, 2014

Editor’s Note: This amusing open letter to Chrissy Lee at Launchsquad Public Relations points out some of the challenges Lucid Imagination (now Lucid Works) faces. Significant competition exists from numerous findability vendors. The market leader in open source search is, in Beyond Search’s view, ElasticSearch.

Dear Ms. Lee,

I sent you an email on September 18, 2014, referring you to my response to Stacy Wechsler at Hired Gun public relations. I told you I would create a prize for the news release you sent me. I am retired, but I don’t have too much time to write for PR “professionals” who send me spam, fail to do some research about my background, and understand the topic addressed in your email.

Some history: I recall the first contact I had from Lucid Imagination in 2008. A fellow named Anil Uberoi sent me an email. He and I had a mutual connection, Mark Krellenstein who was the CTO for Northern Light when it was a search vendor.

I wrote a for fee report for Mr. Uberoi, who shortly thereafter left Lucid for an outfit called Kitana. His replacement was a fellow named David. He left and migrated to another company as well. Then a person named Nancy took over marketing and quickly left for another outfit. My recollection is that in a span of 24 months, Lucid Imagination churned through technical professionals, marketers, and presidents. Open source search, it seemed, was beyond the management expertise of the professionals at Lucid.

Then co founder Mark Krellenstein cut his ties with the firm, I wondered how Mr. Krellenstein could deliver the innovative folders function for Northern Light and flop at Lucid. Odd.

Recently I have been the recipient of several emails sent to my two major email accounts. For me, this is an indication of spam. I knew about the appointment of another president. I read  “Trouble at Lucid Works: Lawsuits, Lost Deals, and Layoffs Plague the Search Startup Despite Funding.” Like other pundit-fueled articles, there is probably some truth, some exaggeration, and some errors in the article. The overall impression left on me by the write up is that Lucid Works seems to be struggling.

Your emails to me indicate that you perceive me as a “real” journalist. Call me quirky, but I do not like it when a chipper young person writes me, uses my first name, and then shovels baloney at me. As the purveyor of search silliness for your employer Launchsquad, which seems Lucid Works’ biggest fan and current content marketing agent. Not surprisingly, the new Lucid Fusion products is the Popeil pocket fisherman of search. Fusion slices, dices, chops, and grates. Here’s what  Lucid Works allegedly delivers via Lucene/Solr and proprietary code:

  • Modular integration. Sorry, Ms. Lee, I don’t know what this means.
  • Big Data Discovery Engine. Ms. Lee, Lucid has a search and retrieval system, not a Cybertap, Palantir, or Recorded Future type system.
  • Connector Framework. Ms. Lee licensees want connectors included. Salesforce bought Entropy Soft to meet this need. Oracle bought Outside In for the same reason. Even Microsoft includes some connectors with the quite fragile Delve system for Office 365.
  • Intelligent Search Services.Ms. Lee, I suggest you read my forthcoming article in KMWorld about smart software. Today, most search services are using the word intelligent when the technology in use has been available for decades.
  • Signals Processing.Ms. Lee, I suggest you provide some facts for signals processing. I think in terms of SIGINT, not crude click log file data.
  • Advanced Analytics.Ms. Lee, I lecture at several intelligence and law enforcement conferences about “analytics.” The notion of “advanced” analytics is at odds with the standard numerical recipes that most vendors use. The reason “advanced” is not a good word is that there are mathematical methods that can deliver significant return. Unfortunately today’s computer systems cannot get around the computational barriers that bring x86 architectures to their knees.
  • Natural Language Search.Ms. Lee, I have been hearing about NLP for many years. Perhaps you have not experimented with the voice search functions on Apple and Android devices? You should. Software does a miserable job of figuring out what a human “means.”

So what?

Frankly I am not confident that Lucid Works can close the gap between your client and ElasticSearch’s. Furthermore, I don’t think Lucid Works can deliver the type of performance available from Searchdaimon or ElasticSearch. The indexing and query processing gap between Lucid Works and Blossom Software is orders of magnitude. How do I know? Well, my team tested Lucid Works’ performance against these systems. Why don’t you know this when you write directly to the person who ran the tests? I sent a copy of the test results to one of Lucid Works’ many presidents.

Do I care about Ms. Lee, the new management team, the investors, or the “new” Lucid?


The sun has begun to set on vendors and their agents who employ meaningless jargon to generate interest from potential licensees.

What’s my recommendation? I suggest a person interested in Lucid navigate to my Search Wizards Speak series and read the Lucid Imagination and Lucid Works interviews. Notice how the story drifts. You can find these interviews at

Why does Lucid illustrate “pivoting”? It is easy to sit around and dream about what software could do. It is another task to deliver software that matches products and services from industry leaders and consistent innovators.

For open source search, I suggest you pay attention to,,, and for starters. Keep in mind that other competitors like IBM and Attivio use open source search technology too.

You will never have the opportunity to work directly for me. I can offer one small piece of advice: Do your homework before writing about search to me.

Your pal,

Stephen E Arnold, September 21, 2014

HP Autonomy Hackathons

September 9, 2014

In early September 2014, Hewlett Packard announced its hackathons. These are designed to “unleash developer creativity.” The hacks will demonstrate the power of [the] IDOL OnDemand platform.

HP has lined up events at DataWeek and API World, Legal Hackers, HackMIT Hackathon, and TCO14. The most interesting comment in the announcement is this statement attributed to the IDOL OnDemand “evangelist”:

IDOL OnDemand is the ideal platform for today’s developer looking to build amazing applications in the mobile, big data world. The hackathons are terrific opportunities for developers to engage with their peers and the IDOL OnDemand platform, and are always a lot of fun too.

For me, the most fun I have is watching Hewlett Packard sling mud at Autonomy, Deloitte, and former Autonomy employees.

The idea informing these hackathons appears to be building apps for HP’s Autonomy IDOL in the cloud initiative. Compared to ElasticSearch, HP is putting quite a bit of effort into this program. ElasticSearch, on the other hand, announces a developer training session and the developers show up.

Perhaps HP’s struggles with IDOL have something to do with one or more of these factors:

  1. Open source options / alternatives to proprietary information retrieval systems
  2. HP’s history of management turnover
  3. HP’s on again and off again approach to certain business initiatives
  4. The public relations stemming from the Autonomy litigation.

Did I omit a factor or two? Use the comments section to set me straight.

Stephen E Arnold, September 9, 2014

Thinking about Enterprise Search? VUCA Is for You

September 8, 2014

the Harvard business Review is embracing some of the alleged jargon used by intel analysts, warfighters, and with-it Beltway Bandits. Now the relationship between use of the acronym VUCA and everyday business decisions about toner and where to have lunch is tenuous at best. The term warrants a comment.

First, however, what does the write up “A Framework for Understanding VUCA” share with the managers of the world? The article defines VUCA as “volatility, uncertainty, complexity, and ambiguity.” Ah, these are the concepts that have launched a 1,000 marketing presentations about search, analytics, and content processing. A fancy new, state of the art, analytics system incorporating entity extraction, faceting, and linguistic understanding will help make VUCA a bad dream. VUCA is like Ebola for an organization. Bad indeed. No reliable cure. High mortality rate. VUGA = Bad.

Next, VUCA makes planning difficult. “Hey, it’s crazy out there.” This seems pretty tricky. The HBR write up suggests tackling VUCA with flexibility. Fight with a quadrant, not the original analytics based Boston Consulting grid. VUCA requires one of those squishy grids with quite a bit of subjectivity.

Also, the HBR content requires reading and a sound function. When I accessed the rich media, I heard nothing. A flaw in my system or a reminder of the challenges VUCA presents to publishers as well as lesser managers.

Second, what’s VUCA have to do with search, analytics, and content marketing. Given the spectacular thrashing over Autonomy and the lesser stomping around about Lucid Works (originally Lucid Imagination), VUCA seems to be a large part of the information retrieval sales process and the management process. Stated another way, search, analytics, and content processing are supposed to decrease VUCA. The reality seems to be that where search, analytics, and content processing are deployed, VUCA becomes a very big deal. It does not work particularly well and there is no easy way to figure out what’s right, what’s incorrect, what’s broken, and what’s actually useful.

So the equation can be modified to state VUCA=Search.

One of the comments to the HBR VUCA analysis is interesting to me; to wit:

The VUCA label is so typical in the business world. The idea
that it’s new is such a load of crap. To use it for an excuse not to develop and execute a strategy or plan is abdication of the highest order. I’d say I have as much experience in this as most. Launching a successful international passenger and cargo airline in an active war zone clearly involved all the elements of VUCA. Your analysis is correct. Any leader must deal with these elements daily. The idea that the world is somehow more uncertain, complex or ambiguous is garbage. Volatility varies regularly over time. You create and execute a strategy in this world the same way you did in the world of yesterday and stop whining.

Why not order up a T shirt with VUCA=Ebola to make the point.

For me, consultants will love VUCA. I can’t wait for mid tier consultants to use this hip military lingo in their content marketing.

Stephen E Arnold, September 8, 2014

YouTube: The Real Giant in Online Advertising

September 5, 2014

I wonder who suggested this study? I wonder who sponsored the study? How about a gigantic multi million pool of data? Could the “study” shore up Google’s ad revenue as folks shift to mobile search? What about that lousy Web site traffic? How is that working out for those who chase sales leads and sales with a mere Web site? So many questions.

Navigate to “Study: In Social Advertising, YouTube Converts More Customers Than Anyone Else.”

I learned from a testimonial:

“We believe that YouTube does well in both of these important purchase funnel areas for a number of reasons,” Jeff Zwelling, CEO and co-founder at Convertro told me by phone this week. “YouTube’s own search volume and preferential positioning on Google’s results help drive large amounts of traffic, of course. But when you get to YouTube, the content is rich, descriptive, and usually helpful.” “I’ve done this myself. I recently bought a coffee machine. I had the decision down to three alternatives and couldn’t decide which one was best for me,” Zwelling said. “In the end, I watched videos on YouTube of people using all three machines and chose the one that matched my idea of a good coffee maker.”

But Twitter has some value:

“Throughout our study, it is clear that social media in general — and Twitter in particular — is much more likely than any other marketing channel to provide the customer with brand awareness and consideration of a product,” Zwelling said.

Oh, oh. Twitter. Grrr.

And for you duffs with a Web site. Here’s a “finding” for your consideration:

As we know from recent studies, 99% of organic messages get almost no interaction on social media. Aol Platforms’ report backs this up, showing that only 1% of organic product-promoting tweets lead to a direct purchasing decision. But what happens when you sponsor a tweet?

So there. You can download this report at this link.

Go, YouTube.

Stephen E Arnold, September 5, 2014

An IBM Watson Boot Camp: Gimmee 20!

September 5, 2014

Hopefully a demo will become available. Do you think?

Navigate to “IBM, CUNY Launch Watson Student App Competition.” From a content marketing article, I learned from eWeek:

The contest, known as the CUNY-IBM Watson Case Competition, is an opportunity to learn and develop apps for applying the IBM Watson cognitive technology to improve the operation of organizations and the delivery of services to customers. The IBM Watson technology embodies the future, and this competition enables CUNY students to be part of the new generation involved in the jobs and businesses that will be created.

This is not the first Watson competition. The content marketing article does a round up.

Alas, no links to demos. Just more Watson is wonderful; for example:

Indeed, some possible examples to apply IBM Watson are improving the quality and effectiveness of public undergraduate education and helping to better deliver public services such as public safety, health and transportation. Teams of CUNY students will work through various milestones during the fall 2014 semester, while being mentored by IBM, CUNY faculty and other experts in the field. Teams of three to five students will present their preliminary concepts during Watson “boot camp” Oct. 24 and 25. The finalists will participate in a final round of presentations on Jan. 15, 2015, when cash prizes will be awarded to the top three teams.


Stephen E Arnold, September 5, 2014

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