Kasperski Discovers Firmware-Level Spyware Linked to NSA
February 20, 2017
It looks like the NSA is hacking computers around the world by accessing hard-drive firmware, reports Sott in their article, “Russian Researchers Discover NSA Spying and Sabotage Software Hidden in Hard Drives.” We learn that Russian security firm Kaspersky Lab found the sneaky software lurking on hard drives in 30 countries, mostly at government institutions, telecom and energy companies, nuclear research facilities, media outlets, and Islamic activist organizations. Apparently, the vast majority of hard drive brands are vulnerable to the technique. Writer Joseph Menn reports:
According to Kaspersky, the spies made a technological breakthrough by figuring out how to lodge malicious software in the obscure code called firmware that launches every time a computer is turned on. Disk drive firmware is viewed by spies and cybersecurity experts as the second-most valuable real estate on a PC for a hacker, second only to the BIOS code invoked automatically as a computer boots up. ‘The hardware will be able to infect the computer over and over,’ lead Kaspersky researcher Costin Raiu said in an interview.
Though the leaders of the still-active espionage campaign could have taken control of thousands of PCs, giving them the ability to steal files or eavesdrop on anything they wanted, the spies were selective and only established full remote control over machines belonging to the most desirable foreign targets, according to Raiu. He said Kaspersky found only a few especially high-value computers with the hard-drive infections.
Kaspersky’s reconstructions of the spying programs show that they could work in disk drives sold by more than a dozen companies, comprising essentially the entire market. They include Western Digital Corp, Seagate Technology Plc, Toshiba Corp, IBM, Micron Technology Inc and Samsung Electronics Co Ltd.”
Kaspersky did not come right out and name the NSA as the source of the spyware, but did connect it to Stuxnet, a known NSA tool. We also learn that a “former NSA employee” confirmed Kaspersky’s analysis, stating these tools are as valuable as Stuxnet.
Menn notes that this news could increase existing resistance to Western technology overseas due to security concerns. Researcher Raiu specifies that whoever created the spyware must have had access to the proprietary source code for the drives’ firmware. While Western Digital, Seagate, and Micron deny knowledge, Toshiba, Samsung, and IBM remain mum on the subject. Navigate to the article to read more details, or to view the four-minute video (scroll down a bit for that.)
Cynthia Murrell, February 20, 2017
Watson to the Future: The Mainframe
February 19, 2017
Hey, you love mainframes. You may have some. IBMs own. Hitachi-style plug compatibles. Whatever.
Want to run some zip zip stuff on them? Now you can load Watson and get cognitive computing for your airline reservations, your government accounting, or your bank’s back office process which no one knows how to port to Goggle-style servers.
The light shined in my mind’s dark rooms when I read “IBM Brings Machine Learning To The Private Cloud.” Nestled into the article is this statement:
BM has extracted the core machine learning technology from IBM Watson and will initially make it available where much of the world’s enterprise data resides: the z System mainframe, the operational core of global organizations where billions of daily transactions are processed by banks, retailers, insurers, transportation firms and governments.
The write up makes some bold assertions; for example, “any” language, popular machine learning framework, transaction data type, and “without the cost, latency, or risk of moving data off premise.”
The write up provides a snapshot of where IBM thinks mainframes and Watson will generate revenues; specifically:
- Retail
- Financial services
- Healthcare.
My thought is that each of these markets may want to reduce their dependence on mainframes and the challenges of cost control, staffing, and rapid application development “chains.”
If Watson were selling like hot cakes, why chase mainframes? Answer: More revenue. Customer demand, in my opinion, might be the wrong answer.
Stephen E Arnold, February 19, 2017
IBM Watson PR Tax Excitement
February 10, 2017
In one eight hour period I noticed these rah rah write ups about IBM Watson doing taxes. How timely? What a coincidence that these publications ran stories about yet another Watson achievement. Everything it seems except sustainable revenue.
Here are the write ups I reviewed:
- Fast Company, “H&R Block’s Watson-Powered Robots Are Here To Help With Your Taxes” stating “Block and IBM say Watson has digested 600 million “data points” from past filings to learn tips and tricks.” I bet those IRS analysts love those “tricks.”
- TechCrunch, “H&R Block Is Now Using IBM Watson to Find Tax Deductions,” stating “Beginning Sunday, February 5th, H&R Block customers will be able to interact with the new system at the company’s retail locations.” Nifty. Foot traffic for those who want H&R Block to “do” their taxes. In short, no hands on yet, right?
- New York Times, “IBM Gives Watson a New Challenge: Your Tax Return,” stating “For IBM, the collaboration with H&R Block underlines its strategy in the emerging market for artificial intelligence technology. Watson will touch consumers, but through IBM’s corporate clients.” You may have to pay to view this apparent chunk of marketing collateral. I love the “touch” thing.
You get the idea. A huge PR push for Watson, H&R Block, a promo for a super bowl commercial, and jargon about how smart Watson because it indexes text.
Revenues? Did anyone mention revenues? Cost? Did anyone mention cost? Competitive technology? Did anyone mention competitors? Editorial rigor? Are you nuts? Rigor. What’s that?
Nah. Watson. Weakly.
Stephen E Arnold, February 10, 2017
IBM on Cognitive Computing Safari in South Africa
February 9, 2017
The article on ZDNet titled IBM to Use AI to Tame Big Data in Its Second African Research Lab discusses the 12th global research unit IBM has opened. This one is positioned in South Africa for data analytics and cognitive computing as applied to healthcare and urban development. Dr. Solomon Assefa, IBM’s Director of Research for Africa, mentions in the article that the lab was opened in only 18 months. He goes on,
Assefa said the facility will combine industrial research with a startup incubator, working closely with Wits’ own entrepreneur accelerator in the same innovation hub, known as the Tshimologong Precinct. Tshimologong is part of a major urban renewal project by Wits and the City of Johannesburg.
Nowhere else in the world is there an innovation hub that houses a world class research lab,” Assefa said. “One thing we agreed on from the start is that we will make the lab accessible to startups and entrepreneurs in hub.
The lab is funded by a ten-year investment program of roughly $60M and maintains an open door policy with the University of the Witswatersrand (Wits), The Department of Trade and Industry, and the Department of Science and Technology. The immediate focuses of several early applications include Cape region forest fire prevention, disease monitoring, and virtual reality.
Chelsea Kerwin, February 9, 2017
Presenting Watson as a Service
February 9, 2017
Every now and then, interest in Watson re-emerges. Forbes published a long-read recently entitled How IBM Is Building A Business Around Watson. After gaining press during Watson’s victorious Jeopardy face-off with Ken Jennings, Watson’s first commercial applications took off. IBM sold it to Memorial Sloan Kettering Cancer Center and Wellpoint to design an advisory system for its medical staff. Other medical institutions have purchased it since then. The author asserts,
Still, the potentially is undeniable. Think about how much more effective an ordinary doctor can be with Watson as an assistant. First, even before the patient enters the room, it can analyze their personal medical history, which often runs to hundreds of pages. Then, it can compare the case history with the 700,000 academic papers published every year as well as potentially millions of other patient records. All of this is, of course, beyond the capabilities of human doctors, who typically only get a few minutes to prepare for each examination. So being able to consult with Watson will be enormously helpful.
The real value is offering Watson as a service by providing its API, so that developers in organizations can develop their own applications using its technology. Over 550 partners are utilizing this currently for everything from retail to geolocation to travel agencies. Certainly, with all the hype Watson receives, we can only expect usage to grow.
Megan Feil, February 9, 2017
Free One Year Old, 13 Page IBM Ebook about Cognitive Computing
February 3, 2017
I like short books. But 13 pages? If you are thirsty for knowledge about IBM’s cognitive computing push, you will want to navigate to this link and download The Promise of Cognitive Computing, originally published in February 2016. Timely. My undergraduate honors essay was about five times longer than this IBM ebook.
What’s in the scholarly gem? Here’s a sampling of the topics:
- Technology transforms
- The opportunity is providing insights
- The solution: Businesses built on cognitive computing
- The opportunity for start ups
- Six real life examples of cognitive computing products
- Six steps for developing a cognitive computing product
There are two sidebars filled with useful information; for example, a definition of unstructured information and four reasons to build a cognitive computing business using Watson. There is also a link to a 30 day free trial of Watson.
Interesting. What’s happened in a year of cognitive computing? Not enough to warrant a second edition. Apparently the 19 consecutive quarters of declining revenue has blunted some of the marketing enthusiasm for ebooks.
Stephen E Arnold, February 3, 2017
IBM Watson: Inventing a Distilled Rum
January 29, 2017
I think this write up has some drops of truth in it. I wanted to check with a former MADD volunteer, but the email address wobbled and then fell against a light pole. The title was arresting: “IBM Watson Bottles ‘Holiday Spirit’ with New RUM Created Using Artificial Intelligence.” The source? The “real” news outfit the UK Mirror.
The write up explained that Watson allegedly “produces beverage based on social media posts.” I learned:
“Holiday Spirit” is claimed to be the world’s very first data-distilled rum and was created using IBM Watson. The supercomputer analyzed data from social media posts in order to produce a bespoke rum “that tastes like a holiday”. “In just six hours Watson was able to read 15 million posts on Facebook, Instagram and Twitter relating to holidays – and find the predominant emotions and concepts in those posts,” explained Joe Harrods, big data analyst and AI expert, who works closely with Watson.
The idea was that Watson guzzled 5,000 rum reviews. Then Watson demonstrated that it was in control of its faculties by “matching emotions from the reviews with ingredients.” Finally Walked a straight line to a master blender who concocted liquor, hooch, booze, or nectar that
has a subtle vanilla flavor, medium sweetness, hints of coconut and is naturally caressed with cinnamon and allspice.
So what? Here’s the results of the breathalyzer test:
“There’s no reason that this ‘taste sensation’ couldn’t be recreated for all kinds of experiences and emotions. We’ve already seen robot bartenders that can mix custom cocktails for every different punter based on their personality…
I am delighted that I have never had a drink of alcohol. I wonder if the same might be said of Watson or possibly the marketer who blended this knock out punch for artificial intelligence. What was that question? Oh, right. I remember: “Watson, when will you generate enough money to make IBM stakeholders happy.”
After 10 consecutive quarters of declining revenue, Holiday Spirit may be in short supply.
Stephen E Arnold, January 29, 2017
IBM Watson: Now About Generating Big Revenue
January 27, 2017
To IBM’s credit, since the “weather” changed, IBM’s Watson marketing has been less fun for me. I did enjoy reading “Elementary, My Dear IBM: When Will Watson Make Money?” I prefer the concept of substantial, sustainable revenue which generates profits for stakeholders, but the write up’s title is pretty good.
After asking this important question, the write up states:
IBM Watson has taken heat from Wall Street for not adding to Big Blue’s revenue as the company reported a 19th successive quarter of decline.
That’s quite a track record. Nineteen of anything in a row is difficult to pull off. Way to go, IBM.
I highlighted this passage as well:
But quizzing executives following IBM’s financial report on the fourth quarter of 2016, Morgan Stanley’s Katy Huberty noted that although Watson was getting a “pretty significant share of the press” – to put it mildly – unlike the other businesses that it was cited alongside, Watson was “not contributing to revenue”. Huberty probed when Watson would start bringing in money. IBM admitted to shaving spent a combined $16bn on R&D and acquisitions during 2016, including buying 15 companies such as the $2.6bn acquisition of Truven Health Analytics.
I put a Big Blue exclamation point next to this passage. IBM’s CFO commented about Watson’s payoff this way:
revenue would come through Watson serving IBM’s strategic imperatives and cognitive software. Watson is the “silver thread” running though Watson Health and Financial Services, IBM’s IoT and security, he said. “Watson is firmly, firmly established as the silver thread that runs through those cognitive solutions and you can see all of that in the solution software performance.”
Okay, shareholders, there’s your answer. What can one weave with silver thread? How about some silver thread pants for the executive who needs to slay financial dragons in World of Warcraft.
Stephen E Arnold, January 27, 2017
IBM Explains Buggy Whip to Control Corvettes
January 19, 2017
I love IBM. I enjoy the IBM Watson marketing. I get a kick out of the firm’s saga of declining quarterly revenue. Will IBM make it 19 quarters in a row? I am breathless.
I read “IBM’s Rometty Lays Out AI Considerations, Ethical Principals.” The main idea, as I understand it, is:
artificial intelligence should be used to advance and augment humans not replace them. Transparency of AI development is also necessary.
Since smart software is dependent upon numerical recipes, I am not sure that the many outfits involved in fiddling with procedures, systems, and methods are going to make clear what their wizards are doing. Furthermore, IBM, in my opinion, is a bit of a buggy whip outfit. The idea that a buggy whip can control a bright 18 year old monitoring a drone swarm relying on artificial intelligence to complete a mission. Maybe IBM will equip Watson with telepathy?
The write up explains:
Commonly referred to as artificial intelligence, this new generation of technology and the cognitive systems it helps power will soon touch every facet of work and life – with the potential to radically transform them for the better…As with every prior world-changing technology, this technology carries major implications. Many of the questions it raises are unanswerable today and will require time, research and open discussion to answer.
Okay. What’s DeepMind up to? What about those folks at Facebook, Baidu, Microsoft, MIT, and most of the upscale French universities doing? Are the insights of researchers in Beijing finding their way into the media channel?
Well, IBM is going to take action if the information in the “real” journalistic write up is on the money. Here’s what Big Blue is going to do in its continuing effort to become a plus for stakeholders:
- IBM’s systems will augment human intelligence. Sounds good but the direction of some smart software is to make it easy for humans to get a pizza. The digital divide delivers convenience to lots of folks and big paydays to those in the top tier who find a way to sell stuff. Alexa, I need paper towels.
- Transparency. Right, that’s a great idea, but how it plays out in the real world is going to be a bit hit and miss. Actually, more miss than hit. The big money folks want to move to “winner take all” plays. Amazon Alexa has partners. Amazon keeps some money as it continues it march to global digital Wal-Mart-ism.
- Skills. Yep, the smart software movers and shakers buy promising outfits. Even the allegedly independent folks in Montréal are finding Microsoft a pretty nifty place to work.
Perhaps the folks doing smart software will meet and agree on some rules. Better yet, the US government can legislate rules and then rely on the United Nations or NGOs to promulgate them. Wait. There is a better way. Why not use a Vulcan mind meld?
I understand the IBM has to take the high road, but when a drone swarm makes its own decisions, whipping the rule books may not have much effect. Love those MBA chestnuts like buggy whips.
Stephen E Arnold, January 19, 2017
IBM Does Not Correlate Patents and Revenue
January 12, 2017
I read “IBM Achieves Record Number of U.S. patents in 2016, 24th Straight Year of Patent Dominance.” I learned that Big Blue, the owner of the Watson things, “earned a total of 8,088 U.S. patents last year at a rate of 22 patents per day…” Impressive. I checked IBM’s financial performance and verified that the company has reported its 18th consecutive quarter of declining revenue. It certainly seems that generating top line revenue growth is not correlated with filing patents. What is correlated is the overhead cost of preparing patent documents. Less stressful than making sales I believe. I respond to revenue dominance, not lawyering. But that’s my Harrod’s Creek shortsightedness.
Stephen E Arnold, January 12, 2017