Watson Joins the Hilton Family
April 30, 2016
It looks like Paris Hilton might have a new sibling, although the conversations at family gatherings will be lackluster. No, the hotel-chain family has not adopted Watson, instead a version of the artificial intelligence will work as a concierge. Ars Technica informs us that “IBM Watson Now Powers A Hilton Hotel Robot Concierge.”
The Hilton McLean hotel in Virginia now has a now concierge dubbed Connie, after Conrad Hilton the chain’s founder. Connie is housed in a Nao, a French-made android that is an affordable customer relations platform. Its brain is based on Watson’s program and answers verbal queries from a WayBlazer database. The little robot assists guests by explaining how to navigate the hotel, find restaurants, and tourist attractions. It is unable to check in guests yet, but when the concierge station is busy, you do not want to pull out your smartphone, or have any human interaction it is a good substitute.
” ‘This project with Hilton and WayBlazer represents an important shift in human-machine interaction, enabled by the embodiment of Watson’s cognitive computing,’ Rob High, chief technology officer of Watson said in a statement. ‘Watson helps Connie understand and respond naturally to the needs and interests of Hilton’s guests—which is an experience that’s particularly powerful in a hospitality setting, where it can lead to deeper guest engagement.’”
Asia already uses robots in service industries such as hotels and restaurants. It is worrying that Connie-like robots could replace people in these jobs. Robots are supposed to augment human life instead of taking jobs away from it. While Connie-like robots will have a major impact on the industry, there is something to be said for genuine human interaction, which usually is the preference over artificial intelligence. Maybe team the robots with humans in the service industries for the best all around care?
Whitney Grace, April 30, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Webinjection Code a Key to Security
April 25, 2016
The heady days of open cybercrime discussions on the Dark Web are over, thanks to increasing investigation by law-enforcement. However, CaaS vendors still sell products like exploit kits, custom spam, and access to infected endpoints to those who know where to look. Security Intelligence discusses one of the most popular commodities, webinjection resources, in its article, “Dark Web Suppliers and Organized Cybercrime Gigs.” Reporter Limor Kessem explains:
“Webinjections are code snippets that financial malware can force into otherwise legitimate Web pages by hooking the Internet browser. Once a browser has been compromised by the malware, attackers can use these injections to modify what infected users see on their bank’s pages or insert additional data input fields into legitimate login pages in order to steal information or mislead unsuspecting users.
“Whether made up of HTML code or JavaScript, webinjections are probably the most powerful social engineering tool available to cybercriminals who operate banking Trojan botnets.
“To be considered both high-quality and effective, these webinjections have to seamlessly integrate with the malware’s injection mechanism, display social engineering that corresponds with the target bank’s authentication and transaction authorization schemes and have the perfect look and feel to fool even the keenest customer eye.”
Citing IBM X-Force research, Kessem says there seem to be only a few target-specific webinjection experts operating on the Dark Web. Even cybercriminals who develop their own malware are outsourcing the webinjection code to one of these specialists. This means, of course, that attacks from different groups often contain similar or identical webinjection code. IBM researchers have already used their findings about one such vendor to build specific “indicators of compromise,” which can be integrated into IBM Security products. The article concludes with a suggestion:
“Security professionals can further extend this knowledge to other platforms, like SIEM and intrusion prevention systems, by writing custom rules using information about injections shared on platforms like X-Force Exchange.”
Cynthia Murrell, April 25, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Watson Lacks Conversation Skills and He Is Not Evil
April 22, 2016
When I was in New York last year, I was walking on the west side when I noticed several other pedestrians moving out of the way of a man mumbling to himself. Doing as the natives do, I moved aside and heard the man rumble about how, “The robots are taking over and soon they will be ruling us. You all are idiots for not listening to me.” Fear of a robot apocalypse has been constant since computer technology gained precedence and we also can thank science-fiction for perpetuating it. Tech Insider says in “Watson Can’t Actually Talk To You Like In The Commercials” Elon Musk, Bill Gates, Stephen Hawking, and other tech leaders have voiced their concerns about creating artificial intelligence that is so advanced it can turn evil.
IBM wants people to believe otherwise, which explains their recent PR campaign with commercials that depict Watson carrying on conversations with people. The idea is that people will think AI are friendly, here to augment our jobs, and overall help us. There is some deception on IBM’s part, however. Watson cannot actually carry on a conversation with a person. People can communicate with, usually via an UI like a program via a desktop or tablet. Also there is more than one Watson, each is programmed for different functions like diagnosing diseases or cooking.
“So remember next time you see Watson carrying on a conversation on TV that it’s not as human-like as it seems…Humor is a great way to connect with a much broader audience and engage on a personal level to demystify the technology,’ Ann Rubin, Vice President IBM Content and Global Creative, wrote in an email about the commercials. ‘The reality is that these technologies are being used in our daily lives to help people.’”
If artificial intelligence does become advanced enough that it is capable of thought and reason comparable to a human, it is worrisome. It might require that certain laws be put into place to maintain control over the artificial “life.” That day is a long time off, however, until then embrace robots helping to improve life.
Whitney Grace, April 22, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Digging for a Direction of Alphabet Google
April 21, 2016
Is Google trying to emulate BAE System‘s NetReveal, IBM i2, and systems from Palantir? Looking back at an older article from Search Engine Watch, How the Semantic Web Changes Everything for Search may provide insight. Then, Knowledge Graph had launched, and along with it came a wave of communications generating buzz about a new era of search moving from string-based queries to a semantic approach, organizing by “things”. The write-up explains,
“The cornerstone of any march to a semantic future is the organization of data and in recent years Google has worked hard in the acquisition space to help ensure that they have both the structure and the data in place to begin creating “entities”. In buying Wavii, a natural language processing business, and Waze, a business with reams of data on local traffic and by plugging into the CIA World Factbook, Freebase and Wikipedia and other information sources, Google has begun delivering in-search info on people, places and things.”
This article mentioned Knowledge Graph’s implication for Google to deliver strengthened and more relevant advertising with this semantic approach. Even today, we see the Alphabet Google thing continuing to shift from search to other interesting information access functions in order to sell ads.
Megan Feil, April 21, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Predictive Analytics on a Budget
March 30, 2016
Here is a helpful list from Street Fight that could help small and mid-sized businesses find a data analysis platform that is right for them—“5 Self-Service Predictive Analytics Platforms.” Writer Stephanie Miles notes that, with nearly a quarter of small and mid-sized organizations reporting plans to adopt predictive analytics, vendors are rolling out platforms for companies with smaller pockets than those of multinational corporations. She writes:
“A 2015 survey by Dresner Advisory Services found that predictive analytics is still in the early stages of deployment, with just 27% of organizations currently using these techniques. In a separate survey by IDG Enterprise, 24% of small and mid-size organizations said they planned to invest in predictive analytics to gain more value from their data in the next 12 months. In an effort to encourage this growth and expand their base of users, vendors with business intelligence software are introducing more self-service platforms. Many of these platforms include predictive analytics capabilities that business owners can utilize to make smarter marketing and operations decisions. Here are five of the options available right now.”
Here are the five platforms listed in the write-up: Versium’s Datafinder; IBM’s Watson Analytics; Predixion, which can run within Excel; Canopy Labs; and Spotfire from TIBCO. See the article for Miles’ description of each of these options.
Cynthia Murrell, March 30, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
IBM Continued to Brag About Watson, with Decreasing Transparency
February 29, 2016
A totally objective article sponsored by IBM on Your Story is titled How Cognitive Systems Like IBM Watson Are Changing the Way We Solve Problems. The article basically functions to promote all of the cognitive computing capabilities that most of us are already keenly aware that Watson possesses, and to raise awareness for the Hackathon event taking place in Bengaluru, India. The “article” endorses the event,
“Participants will have an unprecedented opportunity to collaborate, co-create and exchange ideas with one another and the world’s most forward-thinking cognitive experts. This half-day event will focus on sharing real-world applications of cognitive technologies, and allow attendees access to the next wave of innovations and applications through an interactive experience. The program will also include panel discussions and fireside chats between senior IBM executives and businesses that are already working with Watson.”
Since 2015, the “Watson for Oncology” program has involved Manipal Hospitals in Bengaluru, India. The program is the result of a partnership between IBM and Memorial Sloan Kettering Cancer Center in New York. Watson has now consumed almost 15 million pages of medical content from textbooks and journals in the hopes of providing rapid-fire support to hospital staffers when it comes to patient records and diagnosis. Perhaps if IBM put all of their efforts into Watson’s projects instead of creating inane web content to promote him as some sort of missionary, he could have already cured cancer. Or not.
Chelsea Kerwin, February 29, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
IBM Sells Technology Platform with a Throwback to Big Datas Mysteries
February 2, 2016
The infographic on the IBM Big Data & Analytics Hub titled Extracting Business Value From the 4 V’s of Big Data involves quantifying Volume (scale of data), Velocity (speed of data), Veracity (certainty of data), and Variety (diversity of data). In a time when big data may have been largely demystified, IBM makes an argument for its current relevance and import, not to mention its mystique, with reminders of the tremendous amounts of data being created and consumed on a daily basis. Ultimately the graphic is an ad for the IBM Analytics Technology Platform. The infographic also references a “fifth “V”,
“Big data = the ability to achieve greater Value through insights from superior analytics. Case Study: A US-based aircraft engine manufacturer now uses analytics to predict engine events that lead to costly airline disruptions, with 97% accuracy. If this prediction capability had ben available in the previous year, it would have saved $63 million.”
IBM struggles for revenue. But, obviously from this infographic, IBM knows how to create Value with a capital “V”, if not revenue. The IBM Analytics Technology Platform promises speedier insights and actionable information from trustworthy sources. The infographic reminds us that poor quality in data leads to sad executives, and that data is growing exponentially, with 90% of all data forged in only the last two years.
Chelsea Kerwin, February 2, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Microsoft Cortana Update Draws Users to Bing
January 22, 2016
The article titled Microsoft Updates Windows 10 Cortana With New Search Tools for Better Results on IB Times heralds the first good news for Bing in ages. The updates Microsoft implemented provide tremendous search power to users and focused search through a selection of filters. Previously, Cortana would search in every direction, but the filters enable a more targeted search for, say, applications instead of web results. The article explains,
“It’s a small change, but one that shows Microsoft’s dedication to making the assistant as useful as possible. Cortana is powered by Bing, so any improvements to the Windows 10 assistant will encourage more consumers to use Microsoft’s search engine. Microsoft made a big bet when it chose to deeply integrate Bing into Windows 10, and there is signs that it’s paying off. After the June 2015 Windows 10 launch, Bing attained profitability for the first time in October 2015.”
That positive note for Bing is deeply hedged on the company’s ability to improve mobile search, which has continued to grow as a major search platform while desktop search actually peaked, according to research. Microsoft launched Cortana on Android and iOS, but it is yet to be seen whether this was sufficient action to keep up the Bing momentum.
Chelsea Kerwin, January 22, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
The Total Patent Counts for 2015 Are in, and IBM Wins (Again)
January 21, 2016
The article on Reuters titled IBM Granted Most U.S. Patents in 2015, Study Finds confirms the 23rd consecutive win in this area for IBM. Patents are a key indicator of the direction and focus of a given business, and top companies take these numbers very seriously. Interestingly, 2015 was the first year since 2007 that the total count of U.S. patents fell. Following that trend, Microsoft Corp’s patents were also 31% lower than past totals, and as a result the company took only tenth place on the list. The article provides some other details on patent rankings,
“Among the technology giants notable for their intellectual property, Alphabet Inc’s (GOOGL.O) Google stepped up its patent activity, moving to the fifth position from eighth in 2014, while Apple Inc (AAPL.O) stayed at the 11th position. Patents are sometimes the subject of legal battles, and investors, analysts and enthusiasts alike track patents closely to see what companies are looking to develop next. Following IBM, Samsung Electronics Co Ltd (005930.KS) and Canon Inc (7751.T) rounded off the top three spots…”
There are no big surprises here, but one aspect of patents that the article does not cover is whether patents count as revenue? We were under the impression that money did that trick, but the emphasis on patents seems to suggest otherwise.
Chelsea Kerwin, January 21, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
IBMs CFO Reveals IBMs Innovation Strategy: Why Not Ask Watson
January 11, 2016
The article on TechTarget titled IBM CFO Schroeter on the Company’s Innovation Strategy delves into the mind of Martin Schroeter regarding IBM’s strategy for chasing innovation in healthcare and big data. This year alone IBM acquired three healthcare companies with data on roughly one hundred million people as well as massive amounts of data on medical conditions. Additionally, as the article relates,
“IBM’s purchase of The Weather Co.’s data processing and analytics operations brought the company a “massive ingestion machine,” which plays straight into its IoT strategy, Schroeter said. The ingestion system pulls in 4 GB of data per second, he said, and runs a lot of analytics as users generate weather forecasts for their geographies. The Weather Co. system will be the basis for the company’s Internet of Things platform, he said.”
One of many interesting tidbits from the mouth of Schroeter was this gem about companies being willing to “disrupt [themselves]” to ensure updated and long-term strategies that align technological advancement with business development. The hurtling pace of technology has even meant IBM coming up with a predictive system to speed up the due diligence process during acquisitions. What once took weeks to analyze and often lost IBM deals has now been streamlined to a single day’s work. Kaboom.
Chelsea Kerwin, January 11, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
-
- Subscribe to Beyond Search
Feature archive
News archive
-
