Hulbee Is In the Enterprise Search Derby
June 18, 2020
Enterprise search should be an easy out-of-the-box, deployable solution, but more often it is a confusing mess. Companies like Hulbee Enterprise Search develop search programs that delete the guesswork and immediately function:
“Hulbee Enterprise Search not only provides a simple search software, but also consolidates our experience and knowledge, which has been accumulated for over 17 years and combines intelligent search, format diversity, different corporate infrastructures, security, etc. in areas such as document management.
Our goal is to create a timely software technology for you that meets all security requirements. We would be very pleased if you test our software. Request a Proof of Concept.
Our software complements existing software products from other manufacturers such as SharePoint, Exchange, DMS etc. through the innovation of the search. It is thus not a competition, but an addition to and completion of the optimal search in the company.”
The purpose of enterprise search is to quickly locate information, so it can be employed by a business. Information includes structured and unstructured data, so enterprise search needs to be robust and smart enough to filter relevant results. Search must also be compliant with security measures, especially as more businesses host their data on clouds.
Enterprise search solutions like Hulbee must be flexible enough to adjust to changing security measures, but also continue to offer the same and better features for search.
Customization is key to being a contender in the marker for enterprise search.
Whitney Grace, June 18, 2020
Google and Pirate Sites
June 16, 2020
DarkCyber is preparing for the National Cyber Crime Conference lectures: Two live and one on pre-recorded video. We noted in our feed this article: “Popular Pirate Sites Slowly ‘Disappear’ From Google’s Top Search Results.” The write up states:
Over the past few months, it has become harder and harder to find the homepages of some popular pirate sites. Instead, Google points people to Wikipedia pages or entirely different – sometimes scammy – sites that use the same name. We’ll address a few examples here, contrasting our findings with Bing and DuckDuckGo.
Interesting.
Some DarkCyber readers may want to note that pointers to stolen software are findable in Google’s YouTube service. Here’s a results page for illegal and cracks of Photoshop CC6:
Why are these results appearing? There are other examples of content protected by copyright and other regulations. Try queries for other popular software.
The videos are either tutorials with links in comments, download locations within the videos as static text, or often amusing videos of the steps one must follow to get the software up and running, often with malware along for the ride.
How does one find this information? Just type the name of the software and the secret word “crack” or a synonym.
If the information in the cited article is correct, whatever Google is doing to filter search results, the story may be incomplete.
Doesn’t Google have a list of stops words which allow certain content to be blocked? Doesn’t Google have supreme domination of smart software? Doesn’t Google have its eye on the legal ball?
DarkCyber sure doesn’t know the answer. Now what about partners who recycle Google search results for their metasearch systems? There is another story there, but DarkCyber is not a “real news” outfit like Fox News which altered via Photoshop some images. Who owns Fox News? Isn’t it Mr. Murdoch, who also owns the Wall Street Journal?
Are there any similarities in corporate gyroscopes between some of these large, globe spanning companies? Nah.
Stephen E Arnold, June 16, 2020
Apple: Search Still Missing from Its Core
June 5, 2020
How about that search function for the App Store? The “new” and “improved” baby iTunes?
This new AI-powered search platform targets a very specific audience. DEVONagent is tailor made for researchers who do their work on Macs, not PCs. It gathers search results from user-specified search engines and removes irrelevant results. Furthermore, it will check selected websites and notify the user when something new matches their query. The description reveals:
“DEVONagent filters everything on its own. Use advanced Boolean operators, proximity operators, and wildcards of unlimited complexity even when the search engines can’t handle them. DEVONagent finds, e.g., galleries or linked documents for you too. Its unique See Also list lets you dig deeper. Read a smart summary of the results, go through them one by one, or explore them with the topics map. Archive the good ones, discard the others. DEVONagent’s web browser, built for research, lets you extract images, news feeds, links, email addresses, even linked documents, with a single click and save them for reference or reuse. The searchable archive keeps your results for reference. Alternatively send them to DEVONthink or save them as files. DEVONagent exports your research in a variety of formats, from a simple list of bookmarks to comprehensive RTF digests and PDF reports. Save your search to continue later on or share it with your coworkers.”
There is a free version, called DEVONagent Lite, but the search assistant earns its keep through two paid versions: Pro ($49.95) and Express ($4.95). DEVONtechnologies uses AI to manage torrents of information; its other products include an app to manage documents and one to map connections between seemingly unrelated pieces of data. (Yes, those are also iOS-specific.) Based in Coeur D’alene, Idaho, the company was founded in 2002.
Cynthia Murrell, June 6, 2020
Coveo Enterprise Search: A Pivot and a Double Flip from a 15 Year Old Startup
June 4, 2020
DarkCyber noted this story in a New Zealand online information service: “Xero Partners with Coveo to Empower Small Businesses with Machine Learning.” The write states:
Xero has partnered with Coveo to empower small businesses with new functionality on its app marketplace search, powered by machine learning.
Before taking a look at the direct quotes in the article, DarkCyber needs to answer two questions.
First, what’s Coveo? According to the firm’s Web site, the company:
Provide effortless tailored journeys with the Coveo Experience Intelligence Platform. Imagine the experiences you could deliver by embracing the cloud, data, and AI today.
Got that? Coveo was profiled in the first three editions of the Enterprise Search Report as a vendor of Microsoft-centric search and retrieval. Over the years, the company has evolved or at least changed. The firm offered its search system as a customer support component and now it has evolved into providing “tailored journeys”. Let’s call this enterprise search.
Second, what’s Xero? The company’s Web site explains:
Xero is the emerging global leader of online accounting software that connects small businesses to their advisors and other services. Xero provides business owners with real-time visibility of their financial position and performance in a way that’s simple, smart and secure. For accountants, Xero forges a trusted relationship with clients through online collaboration and gives accountants the opportunity to extend their services.
Okay, the company wants to offer an online “store” to sell licenses to companies looking for accounting software.
Now back to the write up. The article quotes an executive at Coveo as saying:
Coveo CEO and chairman Louis Tetu says, “Creating intelligent experiences like Xeros [sic] app marketplace and Xero Central are critical to compete in today’s experience economy. Digital leaders run on data and AI to create the relevant, unified experiences their customers expect – while adding real business value. Few companies understand that better than Xero. Whether a small business is looking to move sales online, coordinate staff or manage projects, Xero’s app marketplace features an array of third-party apps to help with their unique industry and business administration challenges.”
DarkCyber thinks that this means that Coveo will provide product search for Xero’s online store. It is easy to be mystified by words like “intelligence experiences,” “experience economy”, and AI (artificial intelligence). Yeah, jargon is one way to get around the fact that Coveo is providing search and retrieval. (SLI Systems — New Zealand eCommerce search system — is probably surprised by the lingo as well.)
How does Xero explain search? One of Xero’s managers says:
“We’ve seen a 50% increase in people searching for cash flow apps from February to April this year, so we know making it easy to access the right technology is more important than ever…. Tapping into smart insights through machine learning, not only improves the journey for time-poor small businesses, but enables us to consistently evolve our offering to provide beautiful experiences for our customers.
Okay, jargon like “machine learning,” “time poor”, and “beautiful experiences” seems to be a bit of frosting on a donut.
The Canadian company has licensed its search system to a New Zealand accounting centric company to provide search and retrieval for about 800 products.
Interesting. DarkCyber assumes that the inclusion of the buzzwords and jargon is an attempt to make a fairly straightforward ecommerce service into something with a bit more zing. Did it work? You decide because eCommerce search features established options like Elasticsearch and new solutions from vendors like Luigis Box. Coveo was founded in 2005 as a spin off from Copernic desktop search. Luigis Box, on the other hand, was founded in 2017.
Stephen E Arnold, June 4, 2020
Command E: A Cross App Search Tool?
June 3, 2020
There are two ways to search on a devices: using a search engine or the device’s search function. As of now, a tool does not exist that searches across an entire device. TechCrunch shares that searching might change with, “Command E Raises $4.3 Million To Build The Ultimate Cross-App Search Tool.” Command E is a San Francisco based tech startup that has worked on unified desktop search tool for the past two years. The tool is designed to search across every app loaded on a device.
Command E was founded by Tom Uebel and Ben Standefer with the goal to address new enterprise problems have arisen, particularly the need for across the board communication between all devices and application. Standefer and Uebel discovered multiple problems with software integration and it inspired them to develop a universal enterprise search solution.
Uebel said:
“ ‘Enterprise search has traditionally been this big bulky IT integration, we’ve changed it to where you can download it and have all your accounts connected and your data synced in five minutes,’ CEO Tom Uebel tells TechCrunch. ‘As the costs of building purpose-built tools keeps coming down, I think you’re going to see a lot of really great software continue to proliferate. Part of our thesis is that you’re going to need a layer to glue them all together in a nice way.’”
Command E’s nice layer of glue raised $4.3 billion in seed funding. The company plans on using the money to hire more team members.
Command E wants their search tool to be available as a simple keyboard shortcut that seamlessly connects and searches every enterprise service. Data integration is not Command E’s only trouble, they also are working on data encryption with the search tool.
If Command E is successful will they sell their tool to enterprise system developers or as a separate extension that is not part of the bigger package?
Whitney Grace, June 3, 2020
Now These Are Numbers You Can Bank On
June 1, 2020
In the midst of the pandemic, DarkCyber noted “How Semantic Search Helps Users Help Themselves.” The write up is from Lucidworks, a company reselling open source engineering support, proprietary software, and other jazzed up solutions. In the write up was a reference to an IBM document. The idea is that the IBM data make a case for buying IBM? Of course not. The data support the contention that semantic search is like training wheels on a toddler’s bicycle.
What are these magical data? First, the data come from an IBM blog post dated October 17, 2017. That’s a couple of years ago. Change does happen, doesn’t it?
Check out these numbers:
- Businesses spend $1.3 trillion on 265 billion customer service calls each year
- Phone interactions cost around $35-$50
- Text chat costs about $8-$10 per session
- It is realistic to aim to deflect between 40% – 80% of common customer service inquiries to automated frameworks.
- A drop in per-query cost from $15-$200 (human agents) to $1 (virtual agents)
What’s the connection to the SOLR centric Lucidworks? The company wants to convince prospects that it has the solution known as chatbots. Clever phrase for what is a cost reduction play. Do chatbots work? That depends on whom one asks.
The good thing about chatbots is that they don’t create Rona hot spots. The bad thing is that most of the chatbots don’t work particularly well.
The IBM data, even though old and not in step with the Rona business climate, suggest that the on going cost of helping a “customer” deal with a product and service is brutal. Combine these here and now costs with the technical debt of informationized products and services and what do you get?
The short answer is that one has to have quite a bit of money to keep the good ship technology afloat.
Even Google-type companies, faced with sky rocketing costs and a dicey economic environment, are having to make money saving changes.
Net net: The happy talk about super duper technologies often creates cost black holes. What about IBM? Layoffs and ultra hedgey forecasts. What about Lucidworks type outfits? Wow. Much sales work ahead.
One suggestion? Watch those assertions and one’s cost accounting. Can one “help oneself”? Absolutely, maybe.
Stephen E Arnold, June 1, 2020
Crazy Enterprise Search Report: Sketchy Astounding Info PLUS a Free Consultation
June 1, 2020
This week’s crazy enterprise search report is titled “Enterprise Search Market: Global Industry Analysis 2020-2026 by Types, Applications and Key Players.” The content seems to be a rehash, reprint, or repositioning of the weird Covid and enterprise search market report. The DarkCyber team did a little poking around, and it appears the “author” of this report is using free news release services. As we have noted in our previous crazy ESR market stories, the companies covered are a fruit salad. Elastic is left out; Concept Searching is included. Also rans like Expert System, IBM, and SAP are included. The others? Well, each company uses “enterprise search” in its marketing material. That is close enough for horse shoes for this report.
But the real plus is that after you buy the multi thousand dollar report, the buyer gets “free consulting.” From whom? Not revealed? On what? Not disclosed. How good? Not addressed.
Some people must buy these reports. Google believes these news releases are “real news.” Well, that’s a plus. If one is not in Google, one does not exist, right. That’s a bit like the market for enterprise search when Elasticsearch is a click away. The data in the report? Maybe a Hopf fibration calculation gone awry? Maybe Dr. Hopf (were he alive) would award an “A” for effort?
Stephen E Arnold, June 1, 2020
Wiby Search
May 29, 2020
DarkCyber noted the existence of Wiby, a throwback Web search system, in 2017. The idea for the service is to process queries. The queries are matched to shorter or old-fashioned Web pages. Let’s take a look at queries run on May 28, 2020, for some current hot topics. Wiby may be a precursor of the small Web movement. More details about this type of thinking appear in “Rediscovering the Small Web.”
Here’s the query for “Inca stone quarry” and the results:
The results are not directly related to the Inca or quarries. The system did return an off color headline “Results of Suck Off Between Eminem, Rolling Stone, and the Grammy’s.” DarkCyber doubts the relevance methodology used by Wiby.
A less arcane query “Ryzen 3950x” retrieved these results:
One similarity between each result set is the appearance of the morpheme “suck.” DarkCyber finds this interesting. The results are off point.
There is also some basic information about the service on the unlinked About page. We learned:
Search engines like Google are indispensable, able to find answers to all of your technical questions; but along the way, the fun of web surfing was lost. In the early days of the web, pages were made primarily by hobbyists, academics, and computer savvy people about subjects they were interested in. Later on, the web became saturated with commercial pages that overcrowded everything else. All the personalized websites are hidden among a pile of commercial pages. Google isn’t great at finding those gems, its focus is on finding answers to technical questions, and it works well; but finding things you didn’t know you wanted to know, which was the real joy of web surfing, no longer happens. In addition, many pages today are created using bloated scripts that add slick cosmetic features in order to mask the lack of content available on them. Those pages contribute to the blandness of today’s web. The Wiby search engine is building a web of pages as it was in the earlier days of the internet. In addition, Wiby helps vintage computers to continue browsing the web, as page results are more suitable for their performance. What’s the upside of Wiby? The system does generate some surprising results. No query is needed. Wiby offers a link which says “surprise me.”
Wiby also offers an old fashioned “submit a url” form. I entered one of my Web sites. Nothing happened, but maybe there is an editorial review process which struggles with law enforcement and intelligence related content? You can find the “submit a url” page at this link.
When one has an idle moment, a click on surprise me can be interesting.
Stephen E Arnold, May 29, 2020
Zabasearch: Not Too Useful for Targeting Me
May 26, 2020
A reader wanted to know, “Have you used Zabasearch.” The answer was, “No.” I navigated to the Web site and learned:
People Search. Honestly Free! Search by Name.
Find People in the USA. Free People Finder.
Free. Okay! I tested the system by plugging my name into the search box. This once was called “ego surfing.” Here’s what the system revealed:
According to Zabasearch, I am in an industrial park between two computer stores. I feel safe because I am not at that location. I have driven by that location.
I did a Zabasearch using the site’s reverse phone look up. It found the name of the person whose number I plugged in. Once again, instead of living 500 feet from my office (not in the middle of a parking lot, thank you), the individual resides at the Edge Full Service Salon somewhere in West Louisville.
Close enough for free? Sure.
The system reports an incorrect telephone number for me too. I called it and I was invited to leave a message at Entré Computer Center. I checked the full profile and discovered that I am related to “Jeff Arnold.” Nope, sorry.
Net net: Zabrasearch is not likely to become my go-to person locator or source of phone numbers.
Stephen E Arnold, May 35, 2020
Microsoft: Rationalizing Is a Synonym for Good Enough Search
May 25, 2020
On May 16, 2020, Microsoft — the JEDI champions and the target of amusement for Google’s Action Blocks — updated its “Rationalizing Semantic and Keyword Search on Microsoft Academic” page. One notable change is references to everyone’s favorite pandemic and bandwagon for virtue signaling: Covid 19.
What’s Microsoft saying about its Microsoft Academic Search?
The write up points out that the four year old method for delivering “results that best matched semantically coherent interpretations of user queries, informed by the Microsoft Academic Graph (MAG)” is fixed up. I assume this means the fixing up which Longhorn required before it became semi ready for prime time.
Microsoft points out (mostly in a mist of misinformation) that the competitors just do keyword matches. I won’t repeat what I have written in my three Google monographs, the New Landscape of Search, and numerous columns and blog posts.
Well, Microsoft does allow some stupid, old fashioned, and hopelessly archaic keyword searching. The new search will avoid returning pages with null results or zero hits. FYI, gentle reader, learning there are “no hits” is high value information for many queries. Just ask someone running scientific, technical, engineering, and medical queries. Those quite specific searches with no hits are informationized payloads.
Keyword matching is now “rudimentary.” And what’s better? Okay, Boolean lovers who know how to formulate specific queries created after a reference interview by the light of an oil lamp in a damp cave in Eastern Europe:
To put it simply, we’ve changed our semantic search implementation from a strict form where all terms must be understood to a looser form where as many terms as possible are understood.
What’s this mean? Irrelevant, or at best tangential information. But without the explicit mechanisms of a faceted based search system. (Endeca, Endeca, why did you beat up on those who wanted to perform “guided navigation?” Are you wizards to blame?)
The write up presents some before and after queries. Guess what? You get more results, more to scan and review, and more time burned because the search system is being helpful.
Ah, no, thank you.
There is zero search system of which I know capable of “knowing” how to relax a query to provide the specific information for which I am looking. I prefer to formulate a query, scan, reformulate the query, scan, and hone my attention to the content object which in my judgment a useful nugget of information can be found.
Microsoft presents data and “distance” as evidence their new and improved system works. Better than sliced bread? For Microsoft search experts, the answer is a chorus of “yes indeeds.”
The result is another modern system which makes a person less skilled in retrieving “academic” information get a “good enough” answer.
Remember. This Microsoft outfit is going to be in the warfighting game. How does “good enough” information retrieval intentionally displaying content not directly related to the query meet the needs of an analyst in one of the more academic units of the Pentagon?
Oh, I bet this new system is not intended for that PhD. That individual uses a next generation information retrieval which provides specific tools to locate on point information.
Microsoft wants to be the search champion. Too bad it is emulating the king of irrelevant results and doing it without the payoff of massive advertising revenue.
Need academic information? Gentle reader, try iSeek, Qwant or Swisscows or your library’s online commercial databases. Include Microsoft’s offering, but supplement, analyze, and aggregate. You know like do research, not accept what the JEDI crowd offers up.
Stephen E Arnold, May 25, 2020
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