Featured

Google: What For-Fee Thought Leader Love? And for Money? Yep

Talk about disinformation. Alphabet Google finds itself in the spotlight for normal consulting service purchases. How many of those nifty Harvard Business Review articles, essays in Strategy & Business (the money loser published by the former Booz, Allen & Hamilton), or white papers generated by experts like me are labors of thought leader love.

Why not ask a person like me, an individual who has written a white paper for an interesting company in Spain? You won’t. Well, let me interview myself:

Question: Why did you write the white paper about multi-language text analysis?

Answer: I did a consulting job and was asked to provide a report about the who, what, why, etc. of the company’s technology.

Question: Is the white paper objective and factual?

Answer: Yes, I used information from my book research, a piece of published material from the “old” Autonomy Software, and the information gathered at the company’s headquarters in Madrid by one of my colleagues from the engineers. I had a couple of other researchers chase down information about the company, its products, customers, and founder. I then worked through the information about text analysis in my archive. I think I did a good job of presenting the technology and why it is important.

Question: Were you paid?

Answer: Yes, I retired in 2013, and I don’t write for third parties unless those third parties pony up cash.

Question: Do you flatter the company or distort the company’s technology, its applications, or its benefits?

Answer: I try to work through the explanation in order to inform. I offer my opinion at the end of the write up. In this particular case, the technology is pretty good. I state that.

Question: Would another expert agree with you?

Answer: Some would and some would not. When figuring out with a complex multi-lingual platform when processing text in 50 languages, there is room for differences of opinion with regard to such factors as [a] text through put on a particular application, [b] corpus collection and preparation, [c] system tuning for a particular application such as a chatbot, and other factors.

Question: Have you written similar papers for money over the years?

Answer: Yes, I started doing this type of writing in 1972 when I left the PhD program at the University of Illinois to join Halliburton Nuclear in Washington, DC.

Question: Do people know you write white papers or thought leader articles for money?

Answer: Anyone who knows me is aware of my policy of charging money for knowledge work. I worked at Booz, Allen & Hamilton and a number of other equally prestigious firms. To my knowledge, I have never been confused with Mother Teresa.

Mother Theresa A Person Who Works for Money
Image result for mother teresa seajpg02

 

I offer this information as my reaction to the Wall Street Journal’s write up “Google Pays Scholars to Influence Policy.” You will have to pay to read the original article because Mr. Murdoch is not into free information.The original appeared in my dead tree edition of the WSJ on July 12, 2017 on the first page with a jump to a beefy travelogue of Google’s pay-for-praise and pay-for-influence activities. A correction to the original story appears on Fox News. Gasp. Find that item here.

Google, it seems, is now finding itself in the spotlight for search results, presenting products to consumers, and its public relations/lobbying activities.

My view is that Google does not deserve this type of criticism. I would prefer that real journalists tackle such subjects as [a] the Loon balloon patent issue, [2] Google’s somewhat desperate attempts to discover the next inspiration like Yahoo’s online advertising approach, and [3] solving death’s progress.

Getting excited about white papers which have limited impact probably makes a real journalist experience a thrill. For me, the article triggers a “What’s new?”

But I am not Mother Teresa, who would have written for Google for nothing. Nah, not a chance.

Stephen E Arnold, July 14, 2017

Interviews

Bitext: Exclusive Interview with Antonio Valderrabanos

On a recent trip to Madrid, Spain, I was able to arrange an interview with Dr. Antonio Valderrabanos, the founder and CEO of Bitext. The company has its primary research and development group in Las Rosas, the high-technology complex a short distance from central Madrid. The company has an office in San Francisco and a number of computational linguists and computer scientists in other locations. Dr. Valderrabanos worked at IBM in an adjacent field before moving to Novell and then making the jump to his own start up. The hard work required to invent a fundamentally new way to make sense of human utterance is now beginning to pay off.

Antonio Valderrabanos of Bitext

Dr. Antonio Valderrabanos, founder and CEO of Bitext. Bitext’s business is growing rapidly. The company’s breakthroughs in deep linguistic analysis solves many difficult problems in text analysis.

Founded in 2008, the firm specializes in deep linguistic analysis. The systems and methods invented and refined by Bitext improve the accuracy of a wide range of content processing and text analytics systems. What’s remarkable about the Bitext breakthroughs is that the company support more than 40 different languages, and its platform can support additional languages with sharp reductions in the time, cost, and effort required by old-school systems. With the proliferation of intelligent software, Bitext, in my opinion, puts the digital brains in overdrive. Bitext’s platform improves the accuracy of many smart software applications, ranging from customer support to business intelligence.

In our wide ranging discussion, Dr. Valderrabanos made a number of insightful comments. Let me highlight three and urge you to read the full text of the interview at this link. (Note: this interview is part of the Search Wizards Speak series.)

Linguistics as an Operating System

One of Dr. Valderrabanos’ most startling observations addresses the future of operating systems for increasingly intelligence software and applications. He said:

Linguistic applications will form a new type of operating system. If we are correct in our thought that language understanding creates a new type of platform, it follows that innovators will build more new things on this foundation. That means that there is no endpoint, just more opportunities to realize new products and services.

Better Understanding Has Arrived

Some of the smart software I have tested is unable to understand what seems to be very basic instructions. The problem, in my opinion, is context. Most smart software struggles to figure out the knowledge cloud which embraces certain data. Dr. Valderrabanos observed:

Search is one thing. Understanding what human utterances mean is another. Bitext’s proprietary technology delivers understanding. Bitext has created an easy to scale and multilingual Deep Linguistic Analysis or DLA platform. Our technology reduces costs and increases user satisfaction in voice applications or customer service applications. I see it as a major breakthrough in the state of the art.

If he is right, the Bitext DLA platform may be one of the next big things in technology. The reason? As smart software becomes more widely adopted, the need to make sense of data and text in different languages becomes increasingly important. Bitext may be the digital differential that makes the smart applications run the way users expect them to.

Snap In Bitext DLA

Advanced technology like Bitext’s often comes with a hidden cost. The advanced system works well in a demonstration or a controlled environment. When that system has to be integrated into “as is” systems from other vendors or from a custom development project, difficulties can pile up. Dr. Valderrabanos asserted:

Bitext DLA provides parsing data for text enrichment for a wide range of languages, for informal and formal text and for different verticals to improve the accuracy of deep learning engines and reduce training times and data needs. Bitext works in this way with many other organizations’ systems.

When I asked him about integration, he said:

No problems. We snap in.

I am interested in Bitext’s technical methods. In the last year, he has signed deals with companies like Audi, Renault, a large mobile handset manufacturer, and an online information retrieval company.

When I thanked him for his time, he was quite polite. But he did say, “I have to get back to my desk. We have received several requests for proposals.”

Las Rosas looked quite a bit like Silicon Valley when I left the Bitext headquarters. Despite the thousands of miles separating Madrid from the US, interest in Bitext’s deep linguistic analysis is surging. Silicon Valley has its charms, and now it has a Bitext US office for what may be the fastest growing computational linguistics and text analysis system in the world. Worth watching this company I think.

For more about Bitext, navigate to the firm’s Web site at www.bitext.com.

Stephen E Arnold, April 11, 2017

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