Guess What? Most Conferences Leak High Value Information
September 24, 2024
This essay is the work of a dumb dinobaby. No smart software required.
I read the Wired “real news” article titled “Did a Chinese University Hacking Competition Target a Real Victim?” The main idea of the article is that a conference attracted security professionals. To spice up the person talking approach to conferences, “games” were organized. The article makes clear that the conference and the activities could have and maybe were a way for some people involved with and at the conference to obtain high-value information.
News flash! A typical conference setting. Everyone is listening for hot info. Thanks, MSFT Copilot. Good enough.
I have a “real news” flash for the folks at Wired. Any conference — including those with restricted attendance or special security checks — can be vectors for exfiltration of high-value information. After one lecture I delivered at a flashy public conference, a person who identified himself as a business professional wanted to invite me to give lectures in a country not in the EU. I listened. I asked questions. I received only fuzzy wuzzy answers. I did hear all expenses paid and an honorarium. I explained that I was a dinobaby. I wanted more details before I could say yes or no. I told the gentleman I had a meeting and had to get to that commitment. How often has that happened to me? At one conference I attended for six or seven years, a similar conversation took place with me and a business professional every time I gave a lecture.
Within the last 12 months, one of my talks was converted into an email from someone in the audience and a “real” journalist. Some of my team’s findings appeared without attribution in one of few remaining big name online publications. Based on my experience alone, I think attending conferences related to any “hot” technical subject is going to be like a freshly grilled Trader Joe’s veggie burger to a young-at-heart member of the Diptera clan (that’s a house fly, but you probably know that).
Let me offer several observations which may be use to people speaking at public, semi-public, or restricted events:
- Make darned sure you are not providing high-value actionable information. If one is not self aware, speakers get excited and do a core dump. The people seeking information for a purpose the speaker has not intended just writes it down and snaps mobile phone pix of the visuals. If a speakers says something of utility, that information is gone and can make its way into the hands of competitors, bad actors, or enemies of one nation state or another. The burden is on the attendee. Period.
- If handouts are provided, make certain these do not contain the complete information payload. If I prepare what I call a feuilles détachées, these are sanitized by omitting specific details. The general idea is expressed, but the good stuff is omitted. In short, neuter what is publicly available.
- Research the conference. Know before you go. If the conference is “secure,” you will have to chase down one of the disorganized and harried organizers and ask them to read you the names of the companies or agencies which sent representatives.
- Find out who the exhibitors are. Often some names appear on the conference Web site, but others — often some interesting outfits — don’t want any publicity. The conference is a way to learn what competitors are doing, identify prospects, pick up high value information, and recruit people to do work that can get them in some interesting conversations. Who knows? Maybe that consulting job dangled in front of a clueless attendee is a way to penetrate an organization?
- Leveraging conferences for intelligence is standard operating procedure.
Net net: Answer the question, “What’s the difference between high-value information and marketing baloney?” Here’s my response: “A failure to know or anticipate what the other person knows and needs. This is not news. It is common sense.
Stephen E Arnold, September 24, 2024
Anarchist Content Links: Zines Live
July 19, 2024
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This essay is the work of a dinobaby. Unlike some folks, no smart software improved my native ineptness.
One of my team called my attention to “Library. It’s Going Down Reading Library.” I know I am not clued into the lingo of anarchists. As a result, the Library … Library rhetoric just put me on a slow blinking yellow alert or emulating the linguistic style of Its Going Down, Alert. It’s Slow Blinking Alert.”
Syntactical musings behind me, the list includes links to publications focused on fostering even more chaos than one encounters at a Costco or a Southwest Airlines boarding gate. The content of these publications is thought provoking to some and others may be reassured that tearing down may be more interesting than building up.
The publications are grouped in categories. Let me list a handful:
- Antifascism
- Anti-Politics
- Anti-Prison, Anti-Police, and Counter-Insurgency.
Personally I would have presented antifascism as anti-fascism to be consistent with the other antis, but that’s what anarchy suggests, doesn’t it?
When one clicks on a category, the viewer is presented with a curated list of “going down” related content. Here’s a listing of what’s on offer for the topic AI has made great again, Automation:
Livewire: Against Automation, Against UBI, Against Capital
If one wants more “controversial” content, one can visit these links:
Each of these has the “zine” vibe and provides useful information. I noted the lingo and the names of the authors. It is often helpful to have an entity with which one can associate certain interesting topics.
My take on these modest collections: Some folks are quite agitated and want to make live more challenging that an 80-year-old dinobaby finds it. (But zines remind me of weird newsprint or photocopied booklets in the 1970s or so.) If the content of these publications is accurate, we have not “zine” anything yet.
Stephen E Arnold, July 19, 2024
McKinsey Black Heart: Smart Software Flat Lines!
December 7, 2022
The McKinsey online marketing content machine is chugging along. The service is called McKinsey Black, but I like to think of it as the McKinsey Black Heart. (There are many logo and branding opportunities with my version of the online publication’s name in my opinion.)
The Black Heart made available “The State of AI in 2022 and a Half Decade in Review.” I am not sure who the two or three sled dogs were who assembled the report. I know for sure that one or more managing partners are pulling their their harnesses like the horses bedecking the Brandenburg Gate.
I urge you to read this pontifical document yourself. I want to highlight one possibly irrelevant finding tucked into the mass of content marketing data; to wit:
While AI adoption globally is 2.5x higher today than in 2017, it has leveled off over the past few years.
Is this statement accurate? Come on now. That’s not a fair question due to the sampling methodology, the question formation, and the super analytic procedures used to generate the finding. Pretty boring like most Statistics 101 questions; for instance:
The online survey was in the field from May 3 to May 27, 2022, and from August 15 to August 17, 2022, and garnered responses from 1,492 participants representing the full range of regions, industries, company sizes, functional specialties, and tenures. Of those respondents, 744 said their organizations had adopted AI in at least one function and were asked questions about their organizations’ AI use. To adjust for differences in response rates, the data are weighted by the contribution of each respondent’s nation to global GDP.
Ah, ha. A finger on the scale perhaps? Let’s move on and think about this.
The obvious value of the finding is that if you aren’t doing AI, you may be left behind. You will be like a small child watching the TGV disappear with your parents and nanny toward Nimes as you stand alone on the empty platform at Gare Montparnasse. Bad. How bad? Very bad which means, “Hire McKinsey.”
For me the idea that one of the most hyped, wild and crazy techno jargon crazies has gone flat line. Now that’s not just very bad; it is downright truly bad.
Why is the Black Heart report presenting a graph which does not look like a hockey stick. McKinsey wants to move people along the hockey stick handle, not report that the growth looks like the surface of the ice rink in the Patinoire de Nimes.
And what are the killer applications? How about making customer service great again? The idea is that smart software can replace expensive, litigious, unreliable, and non-McKinsey grade humans with digital magic. Think about your most recent brush with “customer service.” Those big company chatbots are wonderful, super wonderful.
The write up has one additional feature designed to cement the Black Heart content into your work life. You can sign up for “new artificial intelligence articles.” Presumably these will not be written by smart software. Real live Black Heart experts will share their insights.
Remember. AI is not doing the hockey stick thing. My view is that some fancy dancing was required to find violets and daisies sprouting in the opioid waste refinement system.
Imagine. A flat line. After all the pension fund money, all the hype, and all the excitement for workers who can be replaced. Here’s a question? Can those text generators replace a small McKinsey team?
That’s a good question.
Stephen E Arnold, December 7, 2022
Will Decision Intelligence Lead to Better Decision Making?
November 24, 2022
After years of hype, it turns out big data is not paying off as promised. Not yet. Marc Warner, CEO of AI firm Faculty, asserts, “Data-Driven Decision Making Will Fail—and Here Is Why” at Computer Weekly. Simply pouring through an abundance of data does not result in accurate conclusions. Warner turns philosophical as he elaborates:
“About 400 years ago, philosophers realized that collecting data to create understanding was a good thing. However, they also thought data alone was sufficient to establish how the world was and predict what would happen next – a process called induction. They thought a wider understanding of what was going on didn’t matter. Notice this is the same claim made for data-driven decision making – but we know a wider understanding does matter. Will stars appear in the sky because they did yesterday? Well, yes – for a while. But at some point, they will burn out. What was an obvious extrapolation is, suddenly, no longer true. This view changed with the philosopher Karl Popper, who said we don’t extrapolate inductively from data, because that’s impossible. In fact, we guess what’s going on, then find data to falsify that theory. This is a crucial change. Suddenly, the focus is the theory – not the data. This means the theory can be very different from an extrapolation from data.”
Not surprisingly, the AI entrepreneur believes the way to develop such theories lies in machine learning, specifically decision intelligence. Warner describes how his company used this approach to help the UK’s National Health Service wrangle an overwhelming amount of data to manage resources during the pandemic. The resulting decisions, he states, are credited with saving thousands of lives. It makes sense, of course, that accurate understanding leads to better decisions. Perhaps decision intelligence can get us there. But can this budding approach do anything to combat the stubborn problem of bias in machine learning? Nothing stops better, faster, and cheaper. More time to watch TikTok.
Cynthia Murrell, November 24, 2022
Google: Business Intelligence, Its Next Ad Business
October 11, 2022
Google has been a busy beaver. One example popped out of a ho hum write up about Google management’s approach to freebies. The write up “Google’s CEO Faced Intense Pushback from Employees at a Town Hall. His 2-Sentence Response was Smart Leadership” contains a rather startling point, if the article is accurate. Here’s the passage which is presumably a direct quote from Sundar Pichai, the top Googler:
Look, I hope all of you are reading the news, externally. The fact that you know, we are being a bit more responsible through one of the toughest macroeconomic conditions underway in the past decade, I think it’s important that as a company, we pull together to get through moments like this.
Did you see the crazy admission: “being a bit more responsible”. Doesn’t this mean that the company has been irresponsible prior to this announcement. I find that amusing: More responsible. Does responsibility extend beyond Foosball and into transparency about alleged online ad fraud or the handling of personnel matters such as the Dr. Timnit Gebru example?
But to the business at hand: Business intelligence. Like enterprise search and artificial intelligence, I am not exactly sure what business intelligence means. To the people who use spreadsheets like Microsoft Excel, rows and columns of data are “business intelligence.” But there must be more than redos of Lotus 1-2-3?
Yes, there are different ways to “do” business intelligence. These range from listening in a coffee shop to buying data from a third party provider and stuffing the information into Maltego to spot previously unnoticed relationships. And there are, of course, companies eager to deliver search based applications to make finding a competitor’s proposal to a government agency easier than figuring out which Google Dork to use.
“Google Days It’s Cracked the Code to Business Intelligence” explains that the Google is going to make BI as business intelligence is known to those in the know the King of the Mountain. I noted this passage:
In business intelligence [BI], “there was always this idea of governing BI and of self-service, and there was no reconciliation of the degree of trust and the degree of flexibility,” Google’s Gerrit Kazmaier told reporters last week, ahead of the Google Cloud Next conference. “At Google, I think we have cracked that code to how you get trust and confidence of data with the flexibility and agility of self-service.”
This buzzword infused statement raises several fascinating ideas. Let’s look at a couple of them, shall we?
First, the idea of “governance.” That’s a term to which I can say I don’t know what the heck it means. But the notion of “governance” and “trust” is that somehow the two glittering generalities are what Google has “cracked.” I must say, “What’s the meaning, Gerrit Kazmaier?”
Second, I noted three buzzwords strung together like faux silver skulls on a raver’s necklace: Trust, confidence, flexibility, and agility. To me, these words mean that more users want a point-and-click solution to answer a question about a competitor or the downstream impacts of an event like sanctions on China. The reality is that like the first buzzword, these don’t communicate, they evoke. The intention is that Mother Google will deliver business intelligence.
The solution, however, is not one Google crafted. The company’s professionals could not develop a business intelligence solution. Google had to buy one. Thus, the code cracking was purchased in the form of a company called Looker. The appeal of the Looker solution is that the user does not have to figure out data sources, determine if the data are valid, wrestle to get the data normalized, run tests to determine if the data set meets the requirements of a first year statistics class problem, and figure out what one needs to know. Google will make these steps invisible and reduce knowledge work to clicking an icon. There you go. To be fair, other companies have similar goals. These range from well known US companies to small firms in Armenia. Everyone wants to generate money from easy business intelligence.
Google is an online advertising business. The company wants to knock Microsoft off its perch as the default vendor to business and government. The Department of Defense is going to embrace the Google Cloud. I am not sure that some DoD analysts will release their grip on Microsoft PowerPoint, however.
Can a company trust Google? Does Google have a mechanism for governance for data handling, managing its professional staff (hello, Dr. Gebru), and ensuring that automated advertising systems are straight and true? Does Google abandon projects without thinking too much about consequences (hello, Stadia developers and customers)?
My hunch is that reducing business intelligence from a craft to a mouse click sets the stage for:
- Potential embedded and intentional data bias
- Rapid ill-informed decisions by users
- A way to inject advertising into a service application and personalization.
Will the days of the free car washes return to the Google parking lot? Will having meetings in a tree house in the London office become a thing again? Will Google displace other vendors delivering search based applications which engage the user in performing thoughtful analyses?
Time will provide the answer or rather Looker will provide the answer. Google will collect the money.
Stephen E Arnold, October 11, 2022
Salesforce, Alibaba, and China: Is an Enterprise Superapp the Goal?
August 4, 2022
I read an announcement about a tie up among Salesforce, Alibaba, and whoever is over-seeing the high profile online outfit. “Salesforce Shutters Hong Kong Office, Leans on Alibaba in China” reports:
As a result of its tightened partnership with Alibaba, Salesforce is “optimizing our business structure to better serve the Greater China Region” and “opening new roles while eliminating some others,” the spokesperson said. The company’s career page shows it’s currently hiring a product management director and a senior software engineer in the southern Chinese city Guangzhou, where it placed its tech team.
The cited article points out:
Salesforce’s interest in China lies in serving international businesses localizing in China, but it can’t do it alone due to the country’s intricate regulatory restrictions.
What will Alibaba do?
Alibaba will be taking over the firm’s sales in mainland China and Hong Kong, while Taiwan will fall under the management of its Singapore office…
Several observations:
- Like Oracle, Salesforce is taking steps to make sure it is able to operate in some acceptable way in China
- The technology for these deals is probably sealed in a quantum secure container so that “partners” are unable to learn what’s in the black boxes. (Well, that’s the hope?)
- China faces some challenges, and it is possible that Alibaba’s overseers could make helpful suggestions which make this tie up less or completely unattractive.
What happens if Alibaba integrates Salesforce functionality into its apps and services? Will we have a commercial superapp purpose built for China and companies permitted to operate in the Middle Kingdom?
Net net: Nah, just “lean on” and lean in.
Stephen E Arnold, August 4, 2022
Swedish Radio Tunes In to the Zuckbook Baloney
June 30, 2022
Sveriges Radio AB or Swedish Radio is a combo of the US National Public Radio and a “real” newspaper. In general, this approach to information is not the core competency of the Meat (sorry, Meta) Zuckbook thing. An interesting case example of the difference between Sveriges Radio and the estimable Silicon Valley super company is described in “Swedish Radio Created Fake Pharmacy – Reveals How Facebook Stored Sensitive Information.”
The main idea is that the Sveriges team did not listen to much disco or rap. Instead the canny outfit set up a honey pot in the form of a fake pharmacy. Then Sveriges analyzed what Facebook said it did with health-related information versus what the the Zuckster actually did.
Guess how that turned out? The write up explains:
After four days, 25 000 fake visits from customers had been registered with Facebook. But they had neither shut down nor warned the owners of the made-up pharmacy – Swedish Radio News’ reporters. When the reporters log into their account, they see that Facebook has stored the type of sensitive information that they say their filter is built to delete again and again. The question that the reporters then asked themselves was whether or not Facebook even has a filter that works in the Swedish language. One of the pharmacies that Swedish Radio reported on say that they cannot find any warnings from Facebook on data transfers that have taken place. The other has not wanted to answer the question. According to state investigators in the USA last year, Facebook only filtered in English.
Interesting? Yes, for three reasons:
- The radio outfit appears to have caught the Zuckers in a bit of a logical problem: Yes, there are filters? No, we just do marketing speak.
- Dismissing the method used to snap a mouse trap on Zuck’s big toe is probably a mistake. The “I’ll get back to you, Senator” works in the lobby-rich US. In Sweden, probably the method will swim like a plate of Surströmming.
- “Real” news — at least in Sweden — still has value. Perhaps some of the US “real” news people will give the approach a spin without the social justice and political sheen.
Net net: Will Facebook change its deep swimming in the information ocean? Has the Atlantic herring changed in the last two decades?
Stephen E Arnold, June 30, 2022
Apple: Intense Surveillance? The Core of the Ad Business
June 28, 2022
I read “US Senators Urge FTC to Investigate Apple for Transforming Online Advertising into an Intense System of Surveillance.” The write up reports:
Apple and Google “knowingly facilitated harmful practices by building advertising-specific tracking IDs into their mobile operating systems,” said the letter, which was signed by U.S. Senators Ron Wyden (D-Oregon), Elizabeth Warren (D-Massachusetts), and Cory Booker (D-New Jersey), as well as U.S. Representative Sara Jacobs (D-California).
There are references to Tracking IDs, “confusing phone settings, and monitoring a user when that user visits non-Apple sites and services. Mais oui! Surveillance yields data. Data allows ad targeting. Selling targeted ads generates money. Isn’t that what the game is about? Trillion dollar companies have to generate revenue to do good deeds, make TV shows, and make hundreds of thousands of devices obsolete with a single demo. Well, that’s my view.
Will something cause Apple to change?
Sure. TikTok maybe?
Stephen E Arnold, June 27, 21022
AlphaSense Downloads Some Bucks
May 3, 2022
AlphaSense is a market intelligence platform utilized by businesses to extract insights from 10,000 business sources, including SEC filings, news sources, analyst research, and transcripts. AlphaSense prides itself on assisting companies to save time and discover important market information that is translated into profits. Alley Watch details the business platform’s latest round of fundraising: “AlphaSense Raises $180M For Its Market Intelligence And Search Platform For Businesses To Be In The Know.”
The article is an interview with AlphaSense’s CEO Jack Kokko, who stated that the investors in the Series C fundraising were Goldman Sachs Asset Management, Morgan Stanley, AllianceBernstein, Viking Global Investors, City, Cowen Inc., Barclays, Wells Fargo Strategic Capital, Bank of America, as well as their past investors. He also highlighted the services AlphaSense offers and what makes it different from its competition:
“AlphaSense is a market intelligence and search platform for businesses. It leverages AI and natural language processing technology to extract relevant insights from an extensive universe of public and private content, including over 10,000 premium business sources. Without AlphaSense, people would lack a reliable way to find the mission-critical information that matters, given how disparate and inaccessible much of it is. We enable professionals to make critical decisions with confidence and speed, improving their business performance and outcomes.”
What appears to make AlphsaSense different is its AI-enabled tech teamed with NLP that locates pertinent information and then delivers it in a user-friendly manner.
Kokko started AlphaSense because when he worked at Morgan Stanley he found the current search technology lacking. He partnered with Rag Neervannan to launch AlphaSense in 2011 to create a platform that would fill a niche. Kokko was proud that during this round of investing many of his clients invested in AlphaSense. With the funding, he plans to invest in product development, expand in new territories and languages, and hire more employees.
Whitney Grace, May 3, 2022
DarkCyber for January 18, 2022 Now Available : An Interview with Dr. Donna M. Ingram
January 18, 2022
The fourth series of DarkCyber videos kicks off with an interview. You can view the program on YouTube at this link. Dr. Donna M. Ingram is the author of a new book titled “Help Me Learn Statistics.” The book is available on the Apple ebook store and features interactive solutions to the problems used to reinforce important concepts explained in the text. In the interview, Dr. Ingram talks about sampling, synthetic data, and a method to reduce the errors which can creep into certain analyses. Dr. Ingram’s clients include financial institutions, manufacturing companies, legal subrogration customers, and specialized software companies.
Kenny Toth, January 18, 2022
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