Technology Does Not Level the Playing Field
July 12, 2016
Among the many articles about how too much automation of the labor force will devastate humanity, I found another piece that describes how technology as tools are a false equalizer. The Atlantic published the piece titled: “Technology, The Faux Equalizer.” What we tend to forget is that technology consists of tools made by humans. These tools have consistently become more complicated as society has advanced. The article acknowledges this by having us remember one hundred years ago, when electricity was a luxurious novelty. Only the wealthy and those with grid access used electricity, but now it is as common as daylight.
This example points to how brand new technology is only available to a limited percentage of people. Technological process and social progress are not mutually inclusive. Another example provided, notes that Gutenberg’s printing press did not revolutionize printing for society, but rather the discovery of cheaper materials to make books. Until technology is available for everyone it is not beneficial:
“Just compare the steady flow of venture capital into Silicon Valley with the dearth of funding for other technological projects, like critical infrastructure improvements to water safety, public transit, disintegrating bridges, and so on. ‘With this dynamic in mind, I would suggest that there is greater truth to the opposite of Pichai’s statement,’ said Andrew Russell, a professor at Stevens Institute of Technology. ‘Every jump in technology draws attention and capital away from existing technologies used by the 99 percent, which therefore undermines equality, and reduces the ability for people to get onto the ‘playing field’ in the first place.’”
In science-fiction films depicting the future, we imagine that technology lessens the gap between everyone around the world, but we need to be reminded that the future is now. Only a few people have access to the future, compare the average lifestyle of Europeans and Americans versus many African and Middle East nations. History tells us that this is the trend we will always follow.
Oh, oh. We thought technology would fix any problem. Perhaps technology exacerbates old sores and creates new wounds? Just an idle question.
Whitney Grace, July 12, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
The Potential of AI Journalism
July 12, 2016
Most of us are familiar with the concept of targeted advertising, but are we ready for targeted news? Personalized paragraphs within news stories is one development writer Jonathan Holmes predicts in, “AI is Already Making Inroads Into Journalism but Could it Win a Pulitzer?” at the Guardian.
Even now, the internet is full of both clickbait and news articles generated by algorithms. Such software is also producing quarterly earnings reports, obituaries, even poetry and fiction. Now that it has been established that, at least, some software can write better than some humans, researchers are turning to another question: What can AI writers do that humans cannot? Holmes quotes Reg Chua, of Thomson Reuters:
“‘I think it may well be that in the future a machine will win not so much for its written text, but by covering an important topic with five high quality articles and also 500,000 versions for different people.’ Imagine an article telling someone how local council cuts will affect their family, specifically, or how they personally are affected by a war happening in a different country. ‘I think the results might show up in the next couple of years,’ Caswell agrees. ‘It’s something that could not be done by a human writer.’”
The “Caswell” above is David Caswell, a fellow at the University of Missouri’s Donald W Reynolds Journalism Institute. Holmes also describes:
“In Caswell’s system, Structured Stories, the ‘story’ is not a story at all, but a network of information that can be assembled and read as copy, infographics or any other format, almost like musical notes. Any bank of information – from court reports to the weather – could eventually be plugged into a database of this kind. The potential for such systems is enormous.”
Yes, it is; we are curious to see where this technology is headed. In the meantime, we should all remember not to believe everything we read… was written by a human.
Cynthia Murrell, July 12, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Six Cybercriminal Archetypes from BAE Systems
July 11, 2016
Tech-security firm BAE Systems has sketched out six cybercriminal types, we learn from “BAE Systems Unmasks Today’s Cybercriminals” at the MENA Herald. We’re told the full descriptions reveal the kinds of havoc each type can wreak, as well as targeted advice for thwarting them. The article explains:
“Threat intelligence experts at BAE Systems have revealed ‘The Unusual Suspects’, built on research that demonstrates the motivations and methods of the most common types of cybercriminal. The research, which is derived from expert analysis of thousands of cyber attacks on businesses around the world. The intention is to help enterprises understand the enemies they face so they can better defend against cyber attack.”
Apparently, such intel is especially needed in the Middle East, where cybercrime was recently found to affect about 30 percent of organizations. Despite the danger, the same study from PwC found that regional companies were not only unprepared for cyber attacks, many did not even understand the risks.
The article lists the six cybercriminal types BAE has profiled:
“The Mule – naive opportunists that may not even realise they work for criminal gangs to launder money;
The Professional – career criminals who ‘work’ 9-5 in the digital shadows;
The Nation State Actor – individuals who work directly or indirectly for their government to steal sensitive information and disrupt enemies’ capabilities;
The Activist – motivated to change the world via questionable means;
The Getaway – the youthful teenager who can escape a custodial sentence due to their age;
The Insider – disillusioned, blackmailed or even over-helpful employees operating from within the walls of their own company.”
Operating in more than 40 countries, BAE Systems is committed to its global perspective. Alongside its software division, the company also produces military equipment and vehicles. Founded in 1999, the company went public in 2013. Unsurprisingly, BAE’s headquarters are in Arlington, Virginia, just outside of Washington DC. As of this writing, they are also hiring in several locations.
Cynthia Murrell, July 11, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
The Twiggle Challenges Amazon
July 11, 2016
Twiggle sounds like the name for a character in a children’s show. Rather Twiggle is the name of an Israeli startup. It is working on the algorithms and other operating factors to power ecommerce search, using machine learning techniques, artificial intelligence, and natural language processing. Venture Beat shares an insightful story about how Twiggle is not going to compete with Google, but rather Amazon’s A9: “Twiggle Raises $12.5 Million To Challenge A9 Ecommerce Search Engine.”
The story explains that:
“Rather than going up against well-established search giants like Google, Twiggle is working more along the lines of A9, a search and ad-tech subsidiary created by Amazon more than a decade ago. While A9 is what Amazon itself uses to power search across its myriad properties, the technology has also been opened to third-party online retailers. And it’s this territory Twiggle is now looking to encroach on.”
Twiggle has not released its technology, but interested users can request early access and it is already being incorporated by some big players in the eCommerce game (or so we’re told).
Twiggle functions similar to A9 with the ultimate goal of converting potential customers into paying customers. Twiggle uses keywords to generate results based on keywords and it might transition into a visual search where users submit an image to find like items. Natural language processing will also take regular human conversation and turn it into results.
The series A round funding of $12.5 million was led by Naspers with other contributors. Yahoo Japan, State of Mind Ventures, and Sir Ronald Cohen. Twiggle says it is not copying A9 and has powerful search technology behind it, but are the rebranding the same product under a new title? When they deliver the goods, then the tests will tell.
Whitney Grace, July 11, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Rare Sighting in Silicon Valley: A Unicorn
July 8, 2016
Unicorns are mythical creatures with a whole slew of folklore surrounding them, but in modern language the horned beast has been used as a metaphor for a rare occurrence. North Korea once said that Kim Jong Un spotted a unicorn from their despotic controlled media service, but Fortune tells us that a unicorn was spotted in California’s Silicon Valley: “The SEC Wants Unicorns To Stop Bragging About Their Valuations”.
Unicorns in the tech world are Silicon Valley companies valued at more than one billion. In some folklore, unicorns are vain creatures and love to be admired, the same can be said about Silicon Valley companies and startups as they brag about their honesty with their investors. Mary Jo White of the SEC said she wanted them to stop blowing the hot air.
“ ‘The concern is whether the prestige associated with reaching a sky-high valuation fast drives companies to try to appear more valuable than they actually are,’ she said.”
Unlike publicly traded companies, the SEC cannot regulate private unicorns, but they still value protecting investors and facilitating capital formation. Silicon Valley unicorns have secondary markets forming around their pre-IPO status. The status they retain before they are traded on the public market. The secondary market uses derivative contracts, which can contribute to misconceptions about their value. White wants the unicorns to realize they need to protect their investors once they go public with better structures and controls for their daily operations.
Another fact from unicorn folklore is that unicorns are recognized as symbols of truth. So while the braggart metaphor is accurate, the truthful aspect is not.
Whitney Grace, July 8 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
What Makes Artificial Intelligence Relevant to Me
July 7, 2016
Artificial intelligence makes headlines every once in awhile when a new super computer beats a pro player at chess, go, or even Jeopardy. It is amazing how these machines replicate human thought processes, but it is more of a novelty than a practical application. The IT Proportal discusses the actual real world benefits of artificial intelligence in, “How Semantic Technology Is Making Sense Of Our Big Data.”
The answer, of course, revolves around big data and how industries are not capable of keeping up with the amount of unstructured data generated by the data surges with more advanced technology. Artificial intelligence processes the data and interprets it into recognizable patterns.
Then the article inserts information about the benefits of natural language processing, how it scours the information, and can extrapolate context based on natural speech patterns. It also goes into how semantic technology picks up the slack when natural language processing does not work. The entire goal is to make unstructured data more structured:
“It is also reasonable to note that the challenge also relates to the structure and output of your data management. The application of semantic technologies within an unstructured data environment can only draw real business value if the output is delivered in a meaningful way for the human tasked with looking at the relationships. It is here that graphical representations add user interface value and presents a cohesive approach to improving the search and understanding of enterprise data.”
The article is an informative fluff piece that sells big data technology and explains the importance of taking charge of data. It has been discussed before.
Whitney Grace, July 7, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
OnionScan Checks for Falsely Advertised Anonymous Sites on Dark Web
July 6, 2016
Dark Web sites are not exempt from false advertising about their anonymity. A recently published article from Vice’s Motherboard shares a A Tool to Check If Your Dark Web Site Is Really Anonymous. The program is called OnionScan and it determines issues on sites that may unmask servers or reveal their owners. An example of this is that could potentially be metadata, such as photo location information, hidden in images on the site. Sarah Jamie Lewis, an independent security researcher who developed OnionScan, told Motherboard:
The first version of OnionScan will be released this weekend, Lewis said. “While doing some research earlier this year I kept coming across the same issues in hidden services—exposed Apache status pages, images not stripped of exif data, pages revealing information about the tools used to build it with, etc. The goal is [to] provide an easy way of testing these things to drive up the security bar,” Lewis added. It works “pretty much the same as any web security scanner, just tailored for deanonymization vectors,” she continued.”
It is interesting that it appears this tool has been designed to protect users from the mistakes made by website administrators who do not set up their sites properly. We suppose it’s only a matter of time before we start seeing researchers publish the number of truly secure and anonymous Dark Web sites versus those with outstanding issues.
Megan Feil, July 6, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
The Cloud: Yep, Flying Blind Is Fun
July 5, 2016
Most of the information technology disasters I know about have a common characteristic. Ready for it? Managers did not do their job. The reasons ranged from a lack of informed decision making (this is a nice way of saying “stupid”) to a desire to leave the details to others (this is a nice way of saying “shirk responsibility”). Example: Portland, Oregon’s incompetence.
I thought about information technology crash and burns when I read “75 Percent of IT Pros Lack Visibility into Their Hybrid Clouds.” What I think the write up is trying to say is, “Folks with clouds don’t know what’s happening in the mist and haze.” The desire to get out of having computer systems down the hall is an admirable one. When I fiddled with the IBM mainframe at my third rate university in the 1960s, who wanted one of these puppies at home. The cloud is little more, in my opinion, than a return to the mainframe type approach to computing of a half century ago. Life is just easier with a smartphone.
The write up reports:
The study from cloud governance specialist Netwrix reveals that almost 65 percent of organizations do not have complete visibility into user, IT and third-party activity in their IT infrastructure. In addition 75 percent of respondents have partial or no visibility into their cloud and hybrid IT environments. The survey of over 800 people across 30 industries worldwide shows a large majority of respondents (78 percent) saying they are unaware or only partly aware of what is happening across their unstructured data and file storage.
The painful reality is that people who are supposed to be professional struggle to know what the heck is going on with their cloud computing systems. MBAs and failed middle school teachers as well as bright young sprouts from prestigious university computer science programs have this characteristic too.
Understanding the limits of one’s own knowledge is a difficult undertaking. The confidence with which some “pros” talk about nifty technology is remarkable. The likelihood of a escalating costs, annoyed customers, grousing colleagues, and outright failure are highly likely events.
Whether it is the baloney about figuring out the context of a user query or an F 35 aircraft which cannot be serviced by a ground crew are examples of how arrogance or human behavior ensure information technology excitement.
Change human behavior or go with a Google and Facebook style smart system? Interesting choice or is it a dilemma.
Stephen E Arnold, July 5, 2016
Watson Weekly: IBM Watson Service for Use in the IBM Cloud: Bluemix Paas, IBM SPSS, Watson Analytics
July 5, 2016
The article on ComputerWorld titled Review: IBM Watson Strikes Again relates the recent expansions of Watson’s cloud service portfolio, who is still most famous for winning on Jeopardy. The article beings by evoking that event from 2011, which actually only reveals a small corner of Watson’s functions. The article mentions that to win Jeopardy, Watson basically only needed to absorb Wikipedia, since 95% of the answers are article titles. New services for use in the IBM Cloud include the Bluemix Paas, IBM SPSS, and Predictive Analytics. Among the Bluemix services is this gem,
“Personality Insights derives insights from transactional and social media data…to identify psychological traits, which it returns as a tree of characteristics in JSON format. Relationship Extraction parses sentences into their components and detects relationships between the components (parts of speech and functions) through contextual analysis. The Personality Insights API is documented for Curl, Node, and Java; the demo for the API analyzes the tweets of Oprah, Lady Gaga, and King James as well as several textual passages.”
Bluemix also consists of AlchemyAPI for ftext and image content reading, Concept Expansion and Concept Insights, which offers text analysis and linking of concepts to Wikipedia topics. The article is less kind to Watson Analytics, a Web app for data analysis with ML, which the article claims “tries too hard” and is too distracting for data scientists.
Chelsea Kerwin, July 5, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Google Throws Hat in Ring as Polling Service for Political Campaigns
July 4, 2016
The article on Silicon Angle titled Google is Pitching Its Polling Service at Journos, Politicians…Also, Google Has a Polling Division explores the recent discovery of Google’s pollster ambitions. Compared to other projects Google has undertaken, this desire to join Gallup and Nielsen as a premier polling service seems downright logical. Google is simply taking advantage of its data reach to create Google Consumer Surveys. The article explains,
“Google collects the polling data for the service through pop-up survey boxes before a news article is read, and through a polling application…The data itself, while only representative of people on the internet, is said to be a fair sample nonetheless, as Google selects its sample by calculating the age, location, and demographics of those participating in each poll by using their browsing and search history…the same technology used by Google’s ad services including DoubleClick and AdWords.”
Apparently Google employees have been pitching their services to presidential and congressional campaign staffers, and at least one presidential candidate ran with them. As the article states, the entire project is a “no-brainer,” even with the somewhat uncomfortable idea of politicians gaining access to Google’s massive data trove. Let’s limit this to polling before Google gets any ideas about the census and call it a day.
Chelsea Kerwin, July 4, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
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