Yandex Faces the Reality of the Android Phone Trojan Horse
January 20, 2016
I noticed this statement in “Russia’s Google Could Be Poised for a Huge 2016”:
…Just two years ago Yandex had twice the search market share as Google, the company only owns 57% of the Russian search market today. Google, on the other hand, has increased its share from 25% to nearly 35%. But this is where the story gets interesting. Yandex contends that the reason Google has increased its market share is because Android phones — which account for 80% of the smartphone market in Russia, according to Yandex — are preloaded with the Google search app, while the same isn’t the case for Yandex’s app.
The Yandex system is pretty good. If you are looking for information in Russian, the system is excellent.
What Yandex lasts is a Trojan horse like Android to carry the search clicks to the mother ship.
Will litigation in Russia thwart the Alphabet Google thing? Nope.
Stephen E Arnold, January 20, 2016
Big Data Blending Solution
January 20, 2016
I would have used Palantir or maybe our own tools. But an outfit named National Instruments found a different way to perform data blending. “How This Instrument Firm Tackled Big Data Blending” provides a case study and a rah rah for Alteryx. Here’s the paragraph I highlighted:
The software it [National Instruments] selected, from Alteryx, takes a somewhat unique approach in that it provides a visual representation of the data transformation process. Users can acquire, transform, and blend multiple data sources essentially by dragging and dropping icons on a screen. This GUI approach is beneficial to NI employees who aren’t proficient at manipulating data using something like SQL.
The graphical approach has been part of a number of tools. There are also some systems which just figure out where to put what.
The issue for me is, “What happens to rich media like imagery and unstructured information like email?”
There are systems which handle these types of content.
Another challenge is the dependence on structured relational data tables. Certain types of operations are difficult in this environment.
The write up is interesting, but it reveals that a narrow view of available tools may produce a partial solution.
Stephen E Arnold, January 20, 2016
IBM: 15 Whiffs in a Row
January 20, 2016
Watson seems to be running out of answers. The system came up with a cook book, a plan to put a dent in cancer, and make sense of Big Data. Great public relations efforts, but the financial payoff seems to be lacking.
I read “IBM Shares Slide as Revenue Drops for 15th Stright Quarter.” How can this be when a company has the smartest, fastest, bestest artificial intelligence system in the world?
The answer is similar to Google’s analysis of its autonomous car’s track record. Wrecks are the fault of those pesky humans. IBM may be better off letting Watson and its Lucene based, home brew, and acquired technology make business decisions for IBM.
I learned in the write up:
Revenue shrank to $22.06 billion versus $24.11 billion.
And in “IBM Still on a Downward Roll with 15th Consecutive Quartgerly Revenuye Drop” this caught my attention:
“We continue to make significant progress in our transformation to higher value,” offered IBM chairwoman and chief executive Ginni Rometty.
Perhaps Ms. Rometty is not listening to IBM Watson? Or, on the other hand, perhaps she is? Either way, Watson is not delivering the payoff that IBM’s somewhat wonky Watson marketing purports.
Revenue, gentle reader, not marketing fluff seems to be needed. Cognitive computing and humans seem to be ineffective when it comes to generating sustainable, substantive revenue.
Stephen E Arnold, January 20, 2016
A Death of Dark Web Weapons
January 20, 2016
President Obama recently announced some executive orders designed to curb gun violence; one of these moves, according to the U.S. Attorney General, specifically targets weapon purchases through the Dark Web. However, Deep.Dot.Web asks, “Do People Really Buy Weapons from Dark Web Markets?” Not many of them, as it turns out. Reporter Benjamin Vitáris writes:
“Fast Company made an interview with Nicolas Christin, assistant research professor of electrical and computer engineering at Carnegie Mellon University (CMU). The professor is one of the researchers behind a recent deep-dive analysis of sales on 35 marketplaces from 2013 to early 2015. According to him, dark web gun sales are pretty uncommon: ‘Weapons represent a very small portion of the overall trade on anonymous marketplaces. There is some trade, but it is pretty much negligible.’ On the dark net, the most popular niche is drugs, especially, MDMA and marijuana, which takes around 25% of sales on the dark web, according to Christin’s analysis. However, weapons are so uncommon that they were put into the ‘miscellaneous’ category, along with drug paraphernalia, electronics, tobacco, viagra, and steroids. These together takes 3% of sales.”
Vitáris notes several reasons the Dark Web is not exactly a hotbed of gun traffic. For one thing, guns are devilishly difficult to send through the mail. Then there’s the fact that, with current federal and state laws, buying a gun in person is easier than through dark web markets in most parts of the U.S.; all one has to do is go to the closest gun show. So, perhaps, targeting Dark Web weapon sales is not the most efficient thing we could do to keep guns away from criminals.
Cynthia Murrell, January 20, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
She Is a Meme Librarian
January 20, 2016
Memes are random bits of Internet culture that come and go faster than the highest DSL speed. There are so many memes out there that it seems impossible to catalog the trends, much less each one. The Independent tells us that Amanda Brennan has made a career out of studying and documenting memes, becoming the world’s first meme librarian: “Meet Tumblr’s ‘Meme Librarian,’ The Woman With The Best Job On The Internet.”
Brennan works at Tumblr and her official title is content and community manager, but she prefers the title “meme librarian.” She earned a Master’s in Information from Rutgers and during graduate school she documented memes for Know Your Meme, followed by Tumblr.
“[In graduate school] immediately I knew I did not want to work in a traditional library. Which is weird because people go to library school and they’re like ‘I want to change the world with books!’ And I was like ‘I want to change the world of information.’ And they started a social media specialization in the library school, and I was like, ‘This is it. This is the right time for me to be here.’”
Brennan is like many librarians, obsessed with taxonomy and connections between information. The Internet gave her an outlet to explore and study to her heart’s content, but she was particularly drawn to memes, their origins, and how they traveled around the Internet. After sending an email to Know Your Meme about an internship, her career as a meme librarian was sealed. She tracks meme trends and discovers how they evolve not only in social media, but how the rest of the Internet swallows them up.
I wonder if this will be a future focus of library science in the future?
Whitney Grace, January 20, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Will 2016 Be the Year of the French Search Revolution?
January 19, 2016
I think about French search and content processing systems once a year. Okay, maybe less frequently. I check out what’s new with Antidot, KBCrawl, Exalead Dassault, Sinequa, CustomerMatrix (né Polyspot), and Pertimm Qwant plus a handful of other outfits.
Most of these firms are unknown to those who kibitz in Sillycon Valley. Each of the companies has a revolutionary technology, world class technology, and galactic confidence in their zeros and ones.
The concern I have for French information access companies in 2016 is a story in USA Today, the McPaper which is often a source of amusement for me.
The article is “French President Declares Economic Emergency.” Here’s the passage I noted:
French President Francois Holland pledged Monday to redefine France’s business model and declared what he called “a state of economic and social emergency,” unveiling a 2-billion-euro ($2.2 billion) plan to revive hiring and catch up with a fast-moving world economy.
Will a couple of billion filter down to impact the economic fortunes of the French search and retrieval vendors? That’s a good question.
But the answer is, “Non.”
Some of the systems are quite interesting. Most of the firms struggle to generate substantial organic revenue in the US. Once a search vendor announces that it will expand its US operations, the follow through is often modest.
France cranks out some good engineers. But 2016 is going to be as or more challenging for the French search engine vendors as any other year in recent memory.
Stephen E Arnold, January 19, 2016
Social Media Search: Will Informed People Respond?
January 19, 2016
I recall asking for directions recently. There were three young people standing outside a bookstore. I wanted to know where the closest ice cream shop was. The three looked at me, smiled, looked at one another, smiled, and one of them said: “No clue.”
I like the idea of asking a group of people for information, but the experiences I have suggest that one has to be careful. Ask a tough question and no one may know the answer. Ask a question in an unfamiliar way such as “shop” instead of Dairy Queen, and the group may not have the faintest idea what one is talking about.
These thoughts influenced my reading of “Social Media: The Next Best Search Engine.” The title seemed to suggest that I could rely on my old school tricks but I would be silly not to use Facebook and Twitter to get information. That’s okay, but I don’t use Facebook, and the Twitter tweet thing seems to be down.
Bummer.
The write up reports:
Many consumers skip right over Google or Yahoo when conducting a search, and instead type it into social media networks.
The approach may work for peak TV and Miley Cyrus news, but I find analysis of social media intercept data more helpful for some of my queries.
Here’s the trick, according to the article:
To make sure you are responding to this growing trend, be present on social media on the channels that best make sense for your company. …The best way to optimize your posts is through hashtags and the content itself. For Facebook, Twitter, Google+ and Instagram, be sure to include relevant hashtags in your posts so that users can find your posts. For sites such as LinkedIn and Yelp which don’t utilize hashtags, make sure that you fill out your profiles as completely as possible.
Okay, indexing and details.
Search? I don’t think I will change my methods.
Stephen E Arnold, January 19, 2016
Semantic Machines: A Voice Search Revolution?
January 19, 2016
I read “Newton Startup Scoops Up Talent As It Works to Perfect Artificial Intelligence.” The write up takes an enthusiastic approach to the efforts of a smart software company in the Boston area. I like these types of articles. They remind me of the days when Route 128 was the cat’s pajamas.
I learned that when I talk to my phone, the system is not “smart enough.” I know. Background noise, speaking too quickly, or mumbling are issues with the voice to search thing. Then there is the output. Our test involves asking for the phone number of a person with a Russian name like Kolmogorov in a bus station or a convertible going 40 miles per hour.
The write up points out:
Semantic Machines is currently working on artificial intelligence technology that could do a better job than Siri or other platforms as they interact with users.
There is big money involved; for example, $20 million from the Bainies and other illuminati.
Here’s the angle:
…The idea behind the startup is to develop a “new paradigm” in a field known as conversational computing — essentially improving the way you interact with your phone or computer, whether via voice or text — “much, much closer to the conversational style in the way people talk…”
Worth noting.
Stephen E Arnold, January 19, 2016
Ebay Is Sold Structured Data
January 19, 2016
PayPal and eBay split in 2015 and many people thought it was a poor mistake on eBay’s part. However, eBay has recouped any potential loses by record profits and more than 159 million sellers. Channel Advisor explains that one of the reasons eBay has grown so much is due to its incorporation of structured data and its importance for organic search in the article, “eBay Moves Towards Structured Data-And Why It Matters.”
As an avid eBay buyer and seller, I have been impressed with the new changes in eBay’s demand for structured data. In the past, if you wanted to find anything on eBay you had to go directly to the Web site and dig through results. Sometimes you could find results on Google or another search engine, but these were usually cached auctions. Since the switchover, eBay listings are prominent within Google’s search results. What is even better is how accurate they are!
EBay has turned to structured data as a way to compete with Amazon. While this is beneficial in the long run, it forces sellers to refocus their strategies. The article gives some great tips on how to improve your listings for the best organic search effectiveness. What eBay is demanding now is item specifics so items are placed in the right categories and also helps buyers make more informed decisions. Product identifiers are now very important and mandatory in many categories. These include item specifics such as UPCs, ISBNs, MPNs, GTINs, and more. The goal with all this extra information is to increase visibility in Google and eBay search results.
“In addition to the above benefits, adding identifiers will give you:
- The ability to match your item with a product from the more robust eBay catalogue
- More accurate pricing guidance when you list your items
- Trending price alerts — when your listings are priced lower than the trending price
EBay suggests adding identifiers even if they’re not yet required for your category – doing so will earn you an early competitive edge.”
EBay used to be the one-stop shopping destination online, but Amazon has quickly stolen that title from them. With more detailed listings and visibility in Google, eBay is sure to win back customers.
Whitney Grace, January 19, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Many Companies Worldwide Underprepared for Cyber Attacks
January 19, 2016
A recent survey from KPMG Capital suggests that only about half the world’s CEOs feel their companies are “fully prepared” to counter a cyber breach in the next three years. One notable exception: businesses in the U.S., where about ninety percent of CEOs feel their companies are ready to fend off hackers. We are not surprised that KPMG is gathering information on in the subject, since it recently took an equity stake in cyber-intelligence firm Norse Corp.
KPMG Australia comments on the survey’s results in its post, “Cyber Security: A Failure of Imagination.” The write-up relates:
“According to the 2015 KPMG CEO Outlook Study [PDF] of more than 1,200 CEOs, one out of five indicated that information security is the risk they are most concerned about. ‘Collectively we sleepwalked into a position of vulnerability when it comes to cyber,’ said Malcolm Marshall, Global Head of Cyber Security at KPMG. ‘This combination of lack of preparedness and concern, from those organizations that are among the best equipped to deal with risks of this magnitude, clearly illustrates cyber security challenges remain severely unaddressed.’”
A lack of skilled cyber-security workers seems to be a large part of the problem, particularly ones who also have management or social-science skills. However, we’re told the root cause here is the “failure to imagine” what hackers can do and might try before they’ve tried it. Clearly, many executives would do well to get themselves up to speed on the subject, before their companies fall victim.
Cynthia Murrell, January 19, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
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