The Tweet Gross Domestic Product Tool
October 16, 2015
Twitter can be used to figure out your personal income. Twitter was not designed to be a tool to tally a person’s financial wealth, instead it is a communication tool based on a one hundred forty character messages to generate for small, concise delivery. Twitter can be used to chat with friends, stars, business executives, etc, follow news trends, and even advertise products by sent to a tailored audience. According to Red Orbit in the article “People Can Guess Your Income Based On Your Tweets,” Twitter has another application.
Other research done on Twitter has revealed that your age, location, political preferences, and disposition to insomnia, but your tweet history also reveals your income. Apparently, if you tweet less, you make more money. The controls and variables for the experiment were discussed, including that 5,191 Twitter accounts with over ten million tweets were analyzed and accounts with a user’s identifiable profession were used.
Users with a high follower and following ratio had the most income and they tended to post the least. Posting throughout the day and cursing indicated a user with a lower income. The content of tweets also displayed a plethora of “wealth” information:
“It isn’t just the topics of your tweets that’s giving you away either. Researchers found that “users with higher income post less emotional (positive and negative) but more neutral content, exhibiting more anger and fear, but less surprise, sadness and disgust.” It was also apparent that those who swore more frequently in their tweets had lower income.”
Twitter uses the information to tailor ads for users, if you share neutral posts get targeted ads advertising expensive items, while the cursers get less expensive ad campaigns. The study also proves that it is important to monitor your Twitter profile, so you are posting the best side of yourself rather than shooting yourself in the foot.
Whitney Grace, October 16, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Technology Fear News Flash: Search Not in the Top 10
October 15, 2015
I read one of those out-of-the-blue research study summaries. The information appears in Network World, a corporate family member of my favorite mid tier consulting firm IDC. The write up is titled with a zippy angle: Fear; to wit, “Technology Scares the Hell Out of People, University Survey Finds.”
I found the article a fiesta of take-it-to-the-bank information.
The snappy graphic caught my eye. Each of the Top 10 fears warrants a cartoon treatment. Here’s an example for running out of money in the future Fear Number Nine.
Source: Network World which used a cartoon from Chapman University. Academia and cartoons. Interesting.
I like the human carrying a weight (at first glance it looks like a debt bomb) up the pile of what appears to be back issues of unsold copies of print version of IDC reports. Adult Swim may do a feature based on this fear. That will be a winner.
On to another gem from the article. I highlighted this passage in the write up:
Technology-related concerns account for 3 of the top 5 biggest fears among Americans surveyed recently by Chapman University of Orange, Calif. — and a couple of the other concerns on the top 10 list could be considered tech-related worries as well.
And the tech fears are:
- Cyber terrorism
- Corporate tracking of personal information
- Government tracking of personal information
The write up adds:
Numbers 7 (Identity theft) and #10 (Credit card fraud) could also be classified as tech-related worries.
Quite a payload of fear. The write up does not include any details about the sample size, the methodology, or the folks doing the work which could be undergraduates or adjuncts for all I know.
Stepping back, let’s think about technology and analytics. On the surface, those in the sample are not exactly comfortable with what I call the Silicon Valley way. Thinking more deeply, the fears suggest that the survey suggests trust is not part of the warp and woof of the lives of the lucky folks in the sample.
My hunch is that if we polled some government officials, big time technology company CEOs, a couple of hundred top one percenters, and 20 somethings looking for a job in Palo Alto, the results might be different. I look forward to a report from IDC on this topic. I hope the author is my favorite IDC expert Dave Schubmehl. He is not afraid of technology based on my experience.
Stephen E Arnold, October 15, 2015
Predictive Search Tries to Work with Videos
October 14, 2015
Predictive search is a common feature in search engines such as Google. It is more well-known as auto-complete, where based on spelling and keyword content the search engine predicts what a user is searching for. Predictive search speeds up the act of searching, but ever since YouTube became the second biggest search engine after Google one has to wonder if “Does Video Enhance Predictive Search?” asks Search Engine Watch.
Search engine and publisher of travel deals Travelzoo created a video series called “#zootips” that was designed to answer travel questions people might search for on Google. The idea behind the video series was that the videos would act as a type of predictive feature anticipating a traveler’s needs.
“‘There’s always push and pull with information,’ says Justin Soffer, vice president of marketing at Travelzoo. ‘A lot of what search is, is people pulling – meaning they’re looking for something specific. What videos are doing is more of a push, telling people what to look for and showing them things.’ ”
Along with Travelzoo, representatives from SEO-PR and Imagination Publishing also agree that video will enhance video search. Travelzoo says that video makes Web content more personal, because an actual person is delivering it. SEO-PR recommends researching keywords with Google Trends and creating videos centered on those words. Imagination Publishing believes that video content will increase a Web site’s Google ranking as it ranks media rich pages higher and there is an increase in voice search and demand for how-to videos.
It is predicted that YouTube’s demand as a search engine will increase more content will be created for video. If you understand how video and predictive analytics work, you will have an edge in future Google rankings.
Whitney Grace, October 14, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
IBM Research: An Inside Look
October 13, 2015
The Los Angeles Times may be on the ropes, but it ran an interesting story with the alluring title “A Peek Inside IBM’s Research Lab Points to the Shortcomings of Corporate R&D.” The information seems to come from an interview with a former laborer in the Big Blue Vineyards.
I noted several points which I found interesting:
First, the congeniality of IBM researchers:
“Bell evolved into a very competitive internal culture. People were really knocking against each other. Internal seminars were quite an ordeal because you were subjected to really heavy scrutiny. Internal dealings among scientists at IBM were much more congenial.”
Perhaps that is why no one at IBM Watson points out the silliness of the Jeopardy promotion, the notion that newspaper readers grasp APIs, or Bob Dylan’s pitching cognitive computing. Congenial. Good.
Second, the role of physics and physicists. Now keep in mind that Google relies on physicists. Maybe not as much as the physicists would like, but the folks are there. Here’s the snippet about IBM and physics:
IBM still has a physics department, but at this point almost every physicist is somehow linked to a product plan or customer plan.
Yes, I knew it. The secret to a successful product and growing revenues is linking a physicist to a product used by a Jeopardy aficionado. Obvious.
Finally, the patent league table:
The corporation in 2014 notched its 22nd straight year leading the world in the number of patents granted, with 7,534 patents granted, absolutely smoking the competition. (Samsung was second, with 4,952; Microsoft and Google were well down the list with ranks of 5th and 8th, according to a reckoning by Fortune.)
I can hear the chant now, “We’re number one. We’re number one.” Perhaps IBM will adopt a Black Lace tune like Do the Conga to promote Watson. You know:
It’s conga It’s Watson night so join the party everyone. The night has just begun. Do do do. Come on and do the Watson. (Source: LyricsMania with inputs from the addled goose.)
Remember, we’re all having fun, Watson.
Stephen E Arnold, October 13, 2015
Kroger IT Management and the Pain of Reality
October 12, 2015
In Harrod’s Creek, we have access to a giant store doing business here as Kroger. There is an all organic outfit down the hollow. I like that outfit. The prices are higher for some things, but the store is human scale. The Kroger warehouse requires me to walk almost 500 meters to get my dogs treats, my wife some ersatz milk product, and for me to stock up on Mountain Dew and M&Ms.
The salad bar is history, replaced with plastic boxes of pre-jigged stuff. The Fancy Dan foods cost the same and Organic City, so many folks in this area avoid the Kroger offerings. The center of our store houses Wal-Mart and Home Depot type products. I don’t think about buying red and blue non stick pans when I do a trip to the grocery for my wife.
I read with considerable interest “Kroger CIO: Four lessons for strategic IT.”
Each time I visit the Kroger in Harrod’s Creek or more accurately, Prospect, Kentucky, I fear the Hitachi based automatic check out systems. Kroger is trimming humans at check outs, presumably the Hitachi units are better, faster, and cheaper.
A trip to the local chain grocery can be an enjoyable experience. Don’t forget your customer loyalty card. Don’t complain about the difficulty of finding a product. Don’t hassle the Kroger humans about one price on the product and a different price in the Kroger database. Have a nice day.
I learned from Chris Hjelm, the CIO, of Kroger, one of the world’s largest companies, that information technology must be relevant. I wonder, “To whom, Mr. Hjelm.” Your boss, to suppliers, or to the individual customer? Mr. Hjelm is responsible for managing the company’s nationwide network of Information and Technology Systems, including systems used in retail stores, manufacturing plants, distribution centers and offices, as well as Research & Development. He also oversees 84.51°, Aviation, Corporate Travel, Indirect Sourcing, and the Check Recovery Center.” He has an honorary PhD degree and before joining Kroger in 2005, he was CIO of Cendant’s Travel Distribution Services, eBay, and Excite@Home, and a CIO at Federal Express. He “has a particular passion for food and is an aspiring amateur chef.” Cendant broke up into four companies. eBay is an online flea market. Excite@Home was a darned exciting outfit when it purchased Kendara’s personalization technology before Excite lost its excitement. FedEx, well, FedEx ships stuff.
Now what are the lessons for strategic IT. I assume this is different from making information technology actually work.
First, the lesson numero uno is to earn credibility as a reliable service provider. I think this means deal with vendors who will implement systems which meet the needs of the Kroger person or unit with an IT need. Yep, making stuff work is good.
Second, one must learn the business. This is no small task when one considers that work experience in shipping, Internet flame outs, online flea marketing, and travel may not seem to be directly related to selling groceries. No, I understand. The IT part is the fiber of these businesses. Ergo, food is just like eBay.
Third, form relationships with one superiors. Okay, that seems to be a safe statement. Due to the ultra conservative, siege mentality of most senior executives in many traditional businesses facing heat from online vendors, that’s good. Keeping one’s job is strategic.
Fourth, use experts. Nay, rely on experts. The good manager, it seems, can terminate experts or ignore them if down the hall. The strategy may reinforce self preservation like the relationships with those higher on the food chain (pun intended).
Now reality. Annoying reality.
At the local Kroger, senior management have deployed self check out units. Most of the time, about one third of the available units are operating. The reason is management’s desire to funnel customers to few self check outs and thus reduce the need for expensive humans who have to intervene frequently when customer transactions go off the rails.
Example: I bought an Ambrosia apple, number 3438. The Hitachi scanning system registered one pound of cheddar cheese. A moonlighting law enforcement officer was at the self check out and managed to clear the transaction. I got the apple for free. Ah, an annoying anomaly.
The new Kroger stores are large. They are organized according to the type of anti social thinking pioneered by Paco Underhill; to wit, make customers who want bread and fruit and milk walk from the entrance along a path of an equilateral triangle. Why put frequently purchased products in one convenient location? The strategy is to force a person to walk so the person will buy stuff not on the person’s list.
The scale of the products in our local Kroger is astounding. One employee told me that were more than 90,000 things in the story. Wow, how many red skillets sit for months without a human touching them? How much food is dumped at expiration time because no one buys the product?
Our local Kroger offers printed on paper maps, not mobile content, to help a customer find a product. Do you know where mustard is? Do you know where a mixture of mustard and relish is? Answer: in separate aisles, not together.
Kroger cannot alphabetize. Look at the signs hanging from the ceiling list products in an aisle. Are these alphabetized. Nope. Waste of time.
Everything in the Kroger—from the database which is out of sync with the product codes to the location of the products—is presented in a way that says, “Hey, go to Paul’s or Fresh Market.”
What is the information strategy at Kroger stores?
- Create a perception of credibility among your co workers and colleagues.
- Implement the routine business and learn the camp fire stories about how wonderful Kroger was and is.
- Get to be pals with those with more Kroger juice
- Use those consultants because it is easier to deflect criticism than take responsibility for tasks.
Kroger is a grocery store. Information technology should make it easier for customers. IT should make it possible for management to know when databases are not in sync. Partners can use Kroger IT to reduce waste and inefficiency.
Kroger, like any retail chain based on the build it they will come principle, will have to deal with two types of technical debt. Like credit card debt, the interest adds friction to keeping the flawed systems u9p and running. Like Walgreen’s, the interest on the real estate is not chimera.
Excitement is ahead for those living the retail dream in a world in which Amazon wants to use technology to eliminate the need to experience the pain and waste the time dribbled away at the grocery store.
Has Kroger IT entertained this statement, “When will that automated delivery arrive? I just ordered 10 minutes ago.” Amazon, are you listening?
Stephen E Arnold, October 12, 2015
Artificial Intelligence: A Jargon Mandala to Understand the Universe of Search
October 12, 2015
I read “Lux: Useful Sankey Diagram on AI.” A Sankey diagram, according to Sankey Diagrams a “Sankey diagram says more than 1,000 pie charts.” The assumption is, of course, that a pie chart presents meaningful data. In the energy sector you can visual flows in complex systems. It helps to have numbers when one is working towards a Sankey map, but if real data are not close at hand, one can fudge up some data.
Here’s the Sankey diagram in the write up:
You can see an almost legible version at this link.
What the diagram suggests is that certain information access and content processing functions flow into data mining, machine learning, and statistics. If you are a fan of multidimensionality, the arrow of time may flow in the reverse direction; that is from data mining, machine learning, and statistics to affective computing, cognitive computing, computational discovery, image and video analytics, language translation, navigation, recommender systems, and speech recognition.
The intermediary state, tinted a US currency green provides intermediating operations or conditions; for example, anomaly detection, collaborative filtering, computer eavesdropping, computer vision, pattern recognition, NLP, path planning, clustering, deep learning, dimensionality reduction, networks graphic models, online reinforcement learning, pattern similarity, probabilistic modeling, regression, and, my favorite, search algorithms.
The diagram, like the wild and crazy chemical imagery for Watson, seems to be a way to:
- Collect a number of discrete operations
- Arrange the operations into some orderly framework
- Allow the viewer to perceive relationships or the potential for relationships among the operations.
In short, skip the wild and crazy presentations by search and content processing vendors about how search enables broader and, hence, more valuable activities. Search is relegated to an entry in the intermediating column of the Sankey diagram.
My thought is that some folks will definitely love the idea that the many different specialties of content processing can be presented in a mandala which invites contemplation and consideration.
The diagram makes clear that when a company wants to know what one can do with the different and often clever operatio0ns one can perform with content, the answer may be, “Make a poster and hang it on the wall.”
In terms of applications, the chart makes quite explicit that some clever team will have to put the parts in order. Does this remind you of building a Star Wars character from Lego blocks.
The construct is the value, not the individual enabling blocks.
Stephen E Arnold, October 12, 2015
Web Site Search Goes Camping
October 12, 2015
It is a common fact that if you are a major retailer and your Web site’s search function is horrible, you are losing millions of dollars in sales. Cabela’s is the world’s largest marketer of hunting, fishing, camping, and other outdoor merchandise decided to upgrade their Web site with GroupBy says PR Newswire in the press release, “Cabela’s And GroupBy Partner To Improve Site Search.”
With GroupBy’s advice, Cabela’s has made a good choice:
“After careful evaluation, Cabela’s selected Searchandiser to replace their Oracle Endeca site search, as they required a robust solution that would deliver accurate search results and an improved user experience for their customers. ‘At Cabela’s we strive to continually improve our customer experience and search relevance is an opportunity area we have identified,’ said Scott Johnstone, Cabela’s Technology Partner Relationship Manager. ‘To that end, we are partnering with GroupBy Inc. to leverage their merchandising tools, search expertise and the underlying technology.’”
As Cabela’s market expands, with Searchandiser creates a better online shopping experience for users with more secure transactions. Any outdoor enthusiast with tell you that equipment is vital for a good adventure. As more people are heading outside to experience the great outdoors, they rely on a decent Web site to order their supplies and gear. Cabela’s is set to meet the new surge with better searching functionalities.
Whitney Grace, October 12, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Real Journalism Forks Real Humans
October 9, 2015
“AP’s Robot Journalists Are Writing Their Own Stories Now” suggests that wizards who suggest that automation creates jobs may want to outthink their ideas. Remember the good old days. The Associated Press, United Press International and other “we use humans” news gathering organizations hired people. Now some of the anecdotes about real journalists are derogatory. I never met a journalist who was inebriated at 9 30 am. Noon? Maybe?
In the write up, the Associated Press, which has a fascinating approach to its ownership, rolled out Automated Insights. The idea was that software filtered and assembled real news stories.
Well, how is that working out?
IBM’s CEO believes that automation will not decimate the work force. Gannett is making an effort to buy up more newspapers so these too can be tooled to the tolerances of the Louisville Courier Journal. Fine newspaper. Fine operation.
And the AP itself? Well, the accumulated loss continues to go up. I recall reading “Employment Rates Are Improving For Everyone But Journalism Majors.”
I noted this passage in a NASDAQ write up:
The prospect of technology-driven job destruction is a matter of great debate for many scientists, technologists, and economists, some of whom predict massive losses in the labor market. In the past, new technology has destroyed jobs and created new ones, but some experts wonder if the increasing power of information technology will leave relatively less and less for people to do.
Journalism majors, unemployed “real” journalists, and contract journalists once called stringers—life is only going to get better. Lyft will make it easier for some folks to become taxi drivers. There are plenty of jobs as data scientists, a profession eager for those who can write prose. There are also opportunities to become experts in search and content processing. Hey, words are words.
Stephen E Arnold, October 9, 2015
Amazon Updates Sneaker Net
October 8, 2015
I remember creating a document, copying the file to a floppy, and then walking up one flight of steps to give the floppy to my boss. He took the floppy, loaded it into his computer, and made changes. A short time later he would walk down one flight of steps, hand me the floppy with his file on it, and I would review the changes.
I thought this was the cat’s pajamas for two reasons:
- I did not have to use ledger paper, sharpen a pencil, and cramp my fingers
- Multiple copies existed so I no longer had to panic when I spilled my Fresca across my desk.
Based on the baloney I read every day about the super wonderful high speed, real time cloud technology, I was shocked when I read “Snowball’s Chance in Hell? Amazon Just Launched a Physical Data Transfer Service.” The news struck me as more important than the yap and yammer about Amazon disrupting cloud business and adding partners.
Here’s the main point I highlighted in pragmatic black:
A Snowball device is ordered through the AWS Management Console and is delivered to site within a few days; customers can order multiple devices and devices can be run in parallel. Described as coming in its “own shipping container” (it doesn’t require packing or unpacking) the Snowball is entirely self-contained, complete with 110 Volt power, a 10 GB network connection on the back and an E Ink display/control panel on the front. Once received it’s simply a matter of plugging the device in, connecting it to a network, configuring the IP address, and installing the AWS Snowball client; a job manifest and 25 character unlock code complete the task. When the transfer of data is complete the device is disconnected and a shipping label will automatically appear on the E Ink display; once shipped back to Amazon (currently only the Oregon data center is supporting the service, with others to follow) the data will be decrypted and copied to S3 bucket(s) as specified by the customer.
There you go. Sneaker net updated with FedEx, UPS, or another shipping service. Definitely better than carrying an appliance up and down stairs. I was hoping that individuals participating in the Mechanical Turk system would be available to pick up an appliance and deliver it to the Amazon customer and then return the gizmo to Amazon. If Amazon can do Etsy-type stuff, it can certainly do Uber-type functions, right?
When will the future arrive? No word on how the appliance will interact with Amazon’s outstanding search system. I wish I knew how to NOT out unpublished books or locate mysteries by Japanese authors available in English. Hey, there is a sneaker net. Focus on the important innovations.
Stephen E Arnold, October 8, 2015
Compare Cell Phone Usage in Various Cities
October 8, 2015
Ever wonder how cell phone usage varies around the globe? Gizmodo reports on a tool that can tell us, called ManyCities, in their article, “This Website Lets You Study Cell Phone Use in Cities Around the World.” The project is a team effort from MIT’s SENSEable City Laboratory and networking firm Ericsson. Writer Jamie Condliffe tells us that ManyCities:
“…compiles mobile phone data — such as text message traffic, number of phone calls, and the amount of data downloaded —from base stations in Los Angeles, New York, London, and Hong Kong between April 2013 and January 2014. It’s all anonymised, so there’s no sensitive information on display, but there is enough data to understand usage patterns, even down the scale of small neighbourhoods. What’s nice about the site is that there are plenty of intuitive interpretations of the data available from the get-go. So, you can see how phone use varies geographically, say, or by time, spotting the general upward trend in data use or how holidays affect the number of phone calls. And then you can dig deeper, to compare data use over time between different neighbourhoods or cities: like, how does the number of texts sent in Hong Kong compare to New York? (It peaks in Hong Kong in the morning, but in the evening in New York, by the way.)”
The software includes some tools that go a little further, as well; users can cluster areas by usage patterns or incorporate demographic data. Condliffe notes that this information could help with a lot of tasks; forecasting activity and demand, for example. If only it were available in real time, he laments, though he predicts that will happen soon. Stay tuned.
Cynthia Murrell, October 8, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
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