Expert System Is Getting with the AI Boomlet
March 17, 2016
I read “Cognitive Computing Specialist Expands US R&D.” The company is Expert System, founded in Modena (not Bologna) in 1989. The company will be celebrating its 27th birthday this year. Apart from Lexmark ISYS and OpenText’s Fulcrum, Expert System is one of the most senior vendors of semantic technology. To respond the vocabulary of IBM Watson, Expert System is now billing itself as a “cognitive computing specialist.”
The passage I highlighted with a quarter century old marker I found in my Expert System file box was:
The new labs in Palo Alto, California., and Rockville, Maryland., will focus on expanding the company’s Cogito cognitive computing software, the Italian company (EXSY.MI) said Tuesday (March 15). The U.S. locations expand the network of Cogito Labs that includes three in Italy along with facilities in Grenoble, France, and Madrid.
That’s a lot of research laboratories for a company whose share price has only recently blipped above $1.97. See this Google Finance chart. In the past six months, the company has deemphasized its “semantic” positioning and embraced the “cognitive” buzzword.
Other notable developments include:
- Breaking the company into two separate units. This news arrived in October 2015. See “Expert System Announces Plans to Structure U.S. Presence into Two Separate Companies for Public and Private Sectors.” The announcement followed hard on the heels of Expert System’s acquisition of the Temis outfit. Temis was created by a former IBM whiz but ran into a revenue ceiling several years ago. The Temis DNA may explain the “cognitive” appellation. I won’t go into the Watson-esque heritage. Just think rules. Training. Lots of time and human resources.
- A push into the high growth security sector. See “Expert System Launches Cogito Risk Watcher Software.” With the struggles some cybersecurity outfits are facing (example, Norse), one would think cybersecurity might be a somewhat crowded sector. In our research for the forthcoming “Dark Web Notebook,” we logged many references to Terbium Labs and Recorded Future, among others. We did not locate a single reference to Expert System’s Risk Watcher. Perhaps our research is incomplete?
- A deal with Quantic, a company with security intelligence solutions. See “Expert System Partners with Quantic Research for Security Intelligence Solutions.” Quantic Research is a subsidiary for the Holding Nivi Group, The Nivi Group is interesting. Here’s the message Google displays about the organization’s Web site:
The google warning for Navi Group. March 16, 2016.
Interesting relationships. Expert System may want to do some checking to make sure that references in write ups about their innovations do not trigger oddball Google alerts.
To sum up, Expert System will be competing in some hot markets for top research talent. Maybe the downturn in unicorn valuations will free up some human resources for Expert System to hire?
The company is definitely lab rich. The stock price suggests that revenue may be less fecund.
Stephen E Arnold, March 17, 2016
Text Analytics: Crazy Numbers Just Like the Good Old Days of Enterprise Search
March 16, 2016
Short honk: Want a growth business in a niche function that supports enterprise platforms? Well, gentle reader, look no farther than text analytics. Get your checkbook out and invest in this remarkable sector. It will be huuuuge.
Navigate to “Text Analytics Market to Account for US$12.16 bn in Revenue by 2024.” What is text analytics? How big is text analytics today? How long has text analytics been a viable function supporting content processing?
Ah, good questions, but what’s really important is this passage:
According to this report, the global text analytics market revenue stood at US$2.82 bn in 2015 and is expected to reach US$12.16 bn by 2024, at a CAGR of 17.6% from 2016 to 2024.
I love these estimates. Imagine. Close out your life savings and invest in text analytics. You will receive a CAGR of 17.6 percent which you can cash in and buy stuff in 2024. That’s just eight years.
Worried about the economy? Want to seek the safe shelter of bonds? Forget the worries. If text analytics is so darned hot, why is the consulting firm pitching this estimate writing reports. Why not invest in text analytics?
Answer: Maybe the estimate is a consequence of spreadsheet fever?
Text analytics is a rocket just like the ones Jeff Bezos will use to carry you into space.
Stephen E Arnold, March 16, 2016
Xerox and Paper: A Lasting Love Affair
March 14, 2016
I can envision a person with a document in one language and no way to create a digital version so it can be pumped into an online translation service. Granted I have to think hard for scenarios outside of scriptwriters for the Jason Bourne films or some other low probability activity like a hard working person working in a government office in Bulgaria. But paper? Really?
I read “Xerox Adds Instant Translator Feature to Some of Its Printers.” The idea is that one puts in a page, the system digitizes the page, does the optical character recognition thing, and generates a version in the user’s language. Well, that’s the theory.
The write up says:
Just scan the original document, and the machine will instantly print it out in the language you choose among the 40 available.
Yeah, but what if the source language is one that is not supported? Well, there’s dear, old Google Translate with a 100 or so languages.
Xerox. A pacesetter. How quickly will this function become available in Canon and Epson printers?
Stephen E Arnold, March 14, 2016
Online Translation: Google or Microsoft?
March 1, 2016
HI have solved the translation problem. I live in Harrod’s Creek, Kentucky. Folks here speak Kentucky. No other language needed. However, gentle reader, you may want to venture into lands where one’s native language is not spoken or written. You will need online translation.
Should I forget Systran and other industrial strength solutions of yesteryear. Today the choice is Google or Microsoft if I understand “2 Main Reasons Why Google Translate Is Ahead of Microsoft and Skype.” (The link worked on February 22, 2016. If it does not work when you read this blog post, you may have to root around. That’s life in the zip zip world today.)
Reason one is that Google supports more languages than Microsoft. The total is 100 plus. The write up is sufficiently amazed to describe the language support of the Alphabet Google thing as “mind blowing.” Okay.
Reason two is that Google’s translation function works on smartphone. The write up points out:
You can hand-write, speak, type, or even take a picture of a given language and Google Translate will translate it for you. Not only this but on Android, some of the translation features are available offline. So, some features are accessible even if you do not have access to the internet.
The write up does not dig too deeply into Microsoft’s translation capability. If you are interested in Microsoft’s quite capable and useful services, navigate to the Microsoft Language Portal. Google is okay, but one service may not do the job a person who does not speak Kentucky requires.
Stephen E Arnold, February 27, 2016
Data Insight: Common Sense Makes Sense
February 25, 2016
I am skeptical about lists of problems which hot buzzwords leave in their wake. I read “Why Data Insight Remains Elusive,” which I though was another content marketing pitch to buy, buy, buy. Not so. The write up contains some clearly expressed, common sense reminds for those who want to crunch big data and point and click their way through canned reports. Those who actually took the second semester of Statistics 101 know that ignoring the data quality and the nitty gritty of the textbook procedures can lead to bone head outputs.
The write up identifies some points to keep in mind, regardless of which analytics vendor system a person is using to make more informed or “augmented” decisions.
Here’s the pick of the litter:
- Manage the data. Yep, time consuming, annoying, and essential. Skip this step at your decision making peril.
- Manage the indexing. The buzzword is metadata, but assigning keywords and other indexing items makes the difference when trying to figure out who, what, why, when, and where. Time? Yep, metadata which not even the Alphabet Google thing does particularly well.
- Create data models. Do the textbook stuff. Get the model wrong, and what happens? Failure on a scale equivalent to fumbling the data management processes.
- Visualization is not analytics. Visualization makes outputs of numerical recipes appear in graphical form. Do not confuse Hollywood outputs with relevance, accuracy, or math on point to the problem one is trying to resolve.
- Knee jerking one’s way through analytics. Sorry, reflexes are okay but useless without context. Yep, have a problem, get the data, get the model, test, and examine the outputs.
Common sense. Most basic stuff was in the textbooks for one’s college courses. Too bad more folks did not internalize those floorboards and now seek contractors to do a retrofit. Quite an insight when the bill arrives.
Stephen E Arnold, February 25, 2016
Text Extraction from Medical Records
February 21, 2016
If you are interested in the application of text extraction methods to medical records, you may find “Extracting Information from the Text of Electronic Medical Records to Improve Case Detection: A Systematic Review.” if you act quickly, the paper may be available at this link. (If the link goes dead, well, that’s life in 2016.) The paper contains an algorithm table which includes the coding and diagnostic elements. Instead of identifying the specific systems and methods, the write up is an academic review of “studies.” But for those interested in the topic, the write up is worth a look.
Stephen E Arnold, February 21, 2016
Text Analytics Vendors for Your Retirement Fund
February 10, 2016
I located a list of companies involved in content processing. You may want to add one or more of these to your retirement investment portfolio. Which one will be the next Facebook, Google, or Uber? I know I would love to have a hat or T shirt from each of these outfits:
Api.ai
Appinions
Automated Insights
Bitext
Clueda
Cortical.io
Dataminr
DigitalGenius
Equivio
Health Fidelity
Jobandtalent
Linguasys
Medallia
MonkeyLearn
NetBase
NewBrandAnalytics
Semantic Machines
Sensai
Sentisis
Signal
Strossle
Sysomos
TEMIS (Expert System)
Texternel
Textio
Treparel
Viralheat
Wibbitz
Wit.ai
Stephen E Arnold, February 8, 2016
HP Enterprise Investigative Analytics
February 5, 2016
Shiver me timbers. Batten the hatches. There is a storm brewing in the use of Autonomy-type methods to identify risks and fraud. To be fair, HP Enterprise no longer pitches Autonomy, but the sprit of Dr. Mike Lynch’s 1990s technology is there, just a hint maybe, but definitely noticeable to one who has embraced IDOL.
For the scoop, navigate to “HPE Launches Investigative Analytics, Using AI and Big Data to Identify Risk.” I was surprised that the story’s headline did not add “When Swimming in the Data Lake.” But the message is mostly clear despite the buzzwords.
Here’s a passage I highlighted:
The software is initially geared toward financial services organizations, and it combines existing HPE products like Digital Safe, IDOL, and Vertica all on one platform. By using big data analytics and artificial intelligence, it can analyze a large amount of data and help pinpoint potential risks of fraudulent behavior.
Note the IDOL thing.
The write up added:
Investigative Analytics starts by collecting both structured sources like trading systems, risk systems, pricing systems, directories, HR systems, and unstructured sources like email and chat. It then applies analysis to query “aggressively and intelligently across all those data sources,” Patrick [HP Enterprise wizard] said. Then, it creates a behavior model on top of that analysis to look at certain communication types and see if they can define a certain problematic behavior and map back to a particular historical event, so they can look out for that type of communication in the future.
This is okay, but the words, terminology, and phrasing remind me of more than 1990 Autonomy marketing collateral, BAE’s presentations after licensing Autonomy technology in the late 1990s, the i2 Ltd. Analyst Notebook collateral, and, more recently, the flood of jabber about Palantir’s Metropolitan Platform and Thomson Reuters’ version of Metropolitan called QA Direct or QA Studio or QA fill in the blank.
The fact that HP Enterprise is pitching this new service developed with “one bank” at a legal eagle tech conference is a bit like me offering to do my Dark Web Investigative Tools lecture at Norton Elementary School. A more appropriate audience might deliver more bang for each PowerPoint slide, might it not?
Will HP Enterprise put a dent in the vendors already pounding the carpeted halls of America’s financial institutions?
HP Enterprise stakeholders probably hope so. My hunch is that a me-too, me-too product is a less than inspiring use of the collection of acquired technologies HP Enterprise appears to put in a single basket.
Stephen E Arnold, February 5, 2016
Big Data: A Shopsmith for Power Freaks?
February 4, 2016
I read an article that I dismissed. The title nagged at my ageing mind and dwindling intellect. “This is Why Dictators Love Big Data” did not ring my search, content processing, or Dark Web chimes.
Annoyed at my inner voice, I returned to the story, annoyed with the “This Is Why” phrase in the headline.
Predictive analytics are not new. The packaging is better.
I think this is the main point of the write up, but I an never sure with online articles. The articles can be ads or sponsored content. The authors could be looking for another job. The doubts about information today plague me.
The circled passage is:
Governments and government agencies can easily use the information every one of us makes public every day for social engineering — and even the cleverest among us is not totally immune. Do you like cycling? Have children? A certain breed of dog? Volunteer for a particular cause? This information is public, and could be used to manipulate you into giving away more sensitive information.
The only hitch in the git along is that this is not just old news. The systems and methods for making decisions based on the munching of math in numerical recipes has been around for a while. Autonomy? A pioneer in the 1990s. Nope. Not even the super secret use of Bayesian, Markov, and related methods during World War II reaches back far enough. Nudge the ball to hundreds of years farther on the timeline. Not new in my opinion.
I also noted this comment:
In China, the government is rolling out a social credit score that aggregates not only a citizen’s financial worthiness, but also how patriotic he or she is, what they post on social media, and who they socialize with. If your “social credit” drops below a certain level because you post anti-government messages online or because you’re socially associated with other dissidents, you could be denied credit approval, financial opportunities, job promotions, and more.
Just China? I fear not, gentle reader. Once again the “real” journalists are taking an approach which does not do justice to the wide diffusion of certain mathy applications.
Net net: I should have skipped this write up. My initial judgment was correct. Not only is the headline annoying to me, the information is par for the Big Data course.
Stephen E Arnold, February 4, 2016
Palantir: Revenue Distribution
January 27, 2016
I came across a write up in a Chinese blog about Palantir. You can find the original text at this link. I have no idea if the information are accurate, but I had not seen this breakdown before:
The chart from “Touchweb” shows that in FY 2015 privately held Palantir derives 71 percent of its revenue from commercial clients.
The report then lists the lines of business which the company offers. Again this was information I had not previously seen:
Energy, disaster recovery, consumer goods, and card services
- Retail, pharmaceuticals, media, and insurance
- Audit, legal prosecution
- Cyber security, banking
- Healthcare research
- Local law enforcement, finance
- Counter terrorism, war fighting, special forces.
Because Palantir is privately held, there is not solid, audited data available to folks in Kentucky at this time.
Nevertheless, the important point is that the Palantir search and content processing platform has a hefty valuation, lots of venture financing, and what appears to be a diversified book of business.
Stephen E Arnold, January 27, 2016
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