Why the UK Shouldn’t Be Concerned About the Gobbling up of Their Tech Industry
May 5, 2016
The article on MotherBoard titled Why the US Is Buying Up So Many UK Artificial Intelligence Companies surveys the rising tech community in the UK. There is some concern about the recent trend in UK AI and machine learning startups being acquired by US giants (HP and Autonomy, Google and DeepMind, Microsoft and Swiftkey, and Apple and VocalIQ.) It makes sense in terms of the necessary investments and platforms needed to support cutting-edge AI which are not available in the UK, yet. The article explains,
“And as AI increasingly becomes core to many tech products, experts become a limited resource. “All of the big US companies are working on the subject and then looking at opportunities everywhere—“…
Many of the snapped-up UK firms are the fruits of research at Britain’s top universities—add to the list above Evi Technologies (Amazon), Dark Blue Labs (Google), Vision Factory (also Google) that are either directly spun out of Cambridge, Oxford, or University College London…”
The results of this may be more positive for the UK tech industry than it appears at first glance. There are some companies, like DeepMind, that demand to stay in the UK, and there are other industry players who will return to the UK to launch their own ventures after spending years absorbing and contributing to the most current technologies and advancements.
Chelsea Kerwin, May 5, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Software That Contains Human Reasoning
April 20, 2016
Computer software has progressed further and keeps advancing faster than we can purchase the latest product. Software is now capable of holding simple conversations, accurately translating languages, GPS, self-driving cars, etc. The one thing that that computer developers cannot program is human thought and reason. The New York Times wrote “Taking Baby Steps Toward Software That Reasons Like Humans” about the goal just out of reach.
The article focuses on Richard Socher and his company MetaMind, a deep learning startup working on pattern recognition software. He along with other companies focused on artificial intelligence are slowly inching their way towards replicating human thought on computers. The progress is slow, but steady according to a MetaMind paper about how machines are now capable of answering questions of both digital images and textual documents.
“While even machine vision is not yet a solved problem, steady, if incremental, progress continues to be made by start-ups like Mr. Socher’s; giant technology companies such as Facebook, Microsoft and Google; and dozens of research groups. In their recent paper, the MetaMind researchers argue that the company’s approach, known as a dynamic memory network, holds out the possibility of simultaneously processing inputs including sound, sight and text.”
The software that allows computers to answer questions about digital images and text is sophisticated, but the data to come close to human capabilities is not only limited, but also nonexistent. We are coming closer to understanding the human brain’s complexities, but artificial intelligence is not near Asimov levels yet.
Whitney Grace, April 20, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Microsoft Azure Plans Offers Goldilocks and Three Bears Strategy to Find Perfect Fit
April 15, 2016
The article on eWeek titled Microsoft Debuts Azure Basic Search Tier relates the perks of the new plan from Microsoft, namely, that it is cheaper than the others. At $75 per month (and currently half of for the preview period, so get it while it’s hot!) the Basic Azure plan has lower capacity when it comes to indexing, but that is the intention. The completely Free plan enables indexing of 10,000 documents and allows for 50 megabytes of storage, while the new Basic plan goes up to a million documents. The more expensive Standard plan costs $250/month and provides for up to 180 million documents and 300 gigabytes of storage. The article explains,
“The new Basic tier is Microsoft’s response to customer demand for a more modest alternative to the Standard plans, said Liam Cavanagh, principal program manager of Microsoft Azure Search, in a March 2 announcement. “Basic is great for cases where you need the production-class characteristics of Standard but have lower capacity requirements,” he stated. Those production-class capabilities include dedicated partitions and service workloads (replicas), along with resource isolation and service-level agreement (SLA) guarantees, which are not offered in the Free tier.”
So just how efficient is Azure? Cavanagh stated that his team measured the indexing performance at 15,000 documents per minute (although he also stressed that this was with batches organized into groups of 1,000 documents.) With this new plan, Microsoft continues its cloud’s search capabilities.
Chelsea Kerwin, April 15, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Slack Hires Noah Weiss
March 29, 2016
One thing you can always count on the tech industry is talent will jump from company to company to pursue the best and most innovating endeavors. The latest tech work to jump ship is Eric Weiss, he leaps from Foursquare to head a new Search, Learning, & Intelligence Group at Slack. VentureBeat reports the story in “Slack Forms Search, Learning, & Intelligence Group On ‘Mining The Chat Corpus.’” Slack is a team communication app and their new Search, Learning, & Intelligence Group will be located in the app’s new New York office.
Weiss commented on the endeavor:
“ ‘The focus is on building features that make Slack better the bigger a company is and the more it uses Slack,” Weiss wrote today in a Medium post. “The success of the group will be measured in how much more productive, informed, and collaborative Slack users get — whether a company has 10, 100, or 10,000 people.’”
For the new group, Weiss wants to hire experts who are talented in the fields of artificial intelligence, information retrieval, and natural language processing. From this talent search, he might be working on a project that will help users to find specific information in Slack or perhaps they will work on mining the chap corpus.
Other tech companies have done the same. Snapchat built a research team that uses artificial intelligence to analyze user content. Flipboard and Pinterest are working on new image recognition technology. Meanwhile Google, Facebook, Baidu, and Microsoft are working on their own artificial intelligence projects.
What will artificial intelligence develop into as more companies work on their secret projects.
Whitney Grace, March 29, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
A Hefty Guide to Setting up SharePoint 2013 Enterprise Search Center
March 8, 2016
The how-to guide titled Customizing SharePoint 2013 Search Center on Code Project provides a lengthy, detailed explanation (with pictures) of the new features of SharePoint 2013, an integration of the 2010 version and Microsoft FAST search. The article offers insights into certain concepts of the program such as crawled properties and managed properties before introducing step-by-step navigation for customizing the result page and Display template, as well as other areas of Sharepoint. The article includes such tips as this,
“Query rules allow you to modify the users keyword search based on a condition. Let’s say when the user types Developer, we want to retrieve only the books which have BookCategory as Developer and if they type ‘IT Pro’, we only want to retrieve the Administrator related books.”
Nine steps later, you have a neat little result block with the matching items. The article outlines similar processes for Customizing the Search Center, Modifying the Search Center, Adding the Results Page to the Navigation, and Creating the Result Source. This leads us to ask, Shouldn’t this be easier by now? Customizing a program so that it looks and acts the way we expect seems like pretty basic setup, so why does it take 100+ steps to tailor SharePoint 2013?
Chelsea Kerwin, March 8, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
The Progress and Obstacles for Microsoft Delve When It Comes to On-Premise Search
March 7, 2016
The article titled Microsoft Delve Faces Challenges in Enterprise Search Role on Search Content Management posits that Microsoft Delve could use some serious enhancements to ensure that it functions as well with on-premises data as it does with data from the cloud. Delve is an exciting step forward, an enterprise-wide search engine that relies on machine learning to deliver relevant results. The article even goes so far as to call it a “digital assistant” that can make decisions based on an analysis of previous requests and preferences. But there is a downside, and the article explains it,
“Microsoft Delve isn’t being used to its full potential. Deployed within the cloud-based Office 365 (O365) environment, it can monitor activity and retrieve information from SharePoint, OneDrive and Outlook in a single pass — and that’s pretty impressive. But few organizations have migrated their entire enterprise to O365, and a majority never will: Hybrid deployments and blending cloud systems with on-premises platforms are the norm… if an organization has mostly on-premises data, its search results will always be incomplete.”
With a new version of Delve in the works at Microsoft, the message has already been received. According to the article, the hybrid Delve will be the first on-premise product based on SharePoint Online. You can almost hear the content management specialists holding their breaths for an integrated cloud and on-premise architecture for search.
Chelsea Kerwin, March 7, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Delve Is No Jarvis
March 3, 2016
A podcast at SearchContentManagement, “Is Microsoft Delve Iron Man’s Edwin Jarvis? No Way,” examines the ways Delve has yet to live up to its hype. Microsoft extolled the product when it was released as part of the Office 365 suite last year. As any developer can tell you, though, it is far easier to market than deliver polished software. Editor Lauren Horwitz explains:
“While it was designed to be a business intelligence (BI), enterprise search and collaboration tool wrapped into one, it has yet to make good on that vision. Delve was intended to be able to search users’ documents, email messages, meetings and more, then serve up relevant content and messages to them based on their content and activities. At one level, Delve has failed because it hasn’t been as comprehensive a search tool as it was billed. At another level, users have significant concerns about their privacy, given the scope of documents and activities Delve is designed to scour. As BI and SharePoint expert Scott Robinson notes in this podcast, Delve was intended to be much like Edwin Jarvis, butler and human search tool for Iron Man’s Tony Stark. But Delve ain’t no Jarvis, Robinson said.”
So, Delve was intended to learn enough about a user to offer them just what they need when they need it, but the tool did not tap deeply enough into the user’s files to effectively anticipate their needs. On top of that, it’s process is so opaque that most users don’t appreciate what it is doing, Robinson indicated. For more on Delve’s underwhelming debut, check out the ten-minute podcast.
Cynthia Murrell, March 3, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Is Bing Full of Bugs or Is Constant Change And “Agility” the Wave of the Future?
February 29, 2016
The article titled 600 Engineers Make 4,000 Changes to Bing Each Week on WinBeta goes behind the scenes of a search engine. The title seems to suggest that Bing is a disaster with so many bugs that only a fleet of engineers working around the clock can manage the number of bugs in the system. That is actually far from the impression that the article makes. Instead, it stresses the constant innovation that Bing calls “Continuous Delivery” or “Agility.” The article states,
“How about the 600 engineers mentioned above pushing more than 4,000 individual changes a week into a testing phase containing over 20,000 tests. Each test can last from 10 minutes to several hours or days… Agility incorporates two “loops,” the Inner Loop that is where engineers write the code, prototype, and crowd-source features. Then, there’s an Outer Loop where the code goes live, gets tested by users, and then pushes out to the world.”
For more details on the sort of rapid and creative efforts made possible by so many engineers, check out the Bing Visual Blog Post created by a Microsoft team. The article also reminds us that Bing is not only a search engine, but also the life-force behind Microsoft’s Cortana, as well as being integrated into Misrosoft Office 2016, AOL and Siri.
Chelsea Kerwin, February 29, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Bing Clocks Search Speed
February 4, 2016
Despite attempts to improve Bing, it still remains the laughing stock of search engines. Google has run it over with its self-driving cars multiple times. DuckDuckGo tagged it as the “goose,” outran it, and forced Bing to sit in the proverbial pot. Facebook even has unfriended Bing. Microsoft has not given up on its search engine, so while there has been a list of novelty improvements (that Google already did or copied not long after their release) it has a ways to go.
Windows Central tells about the most recent Bing development: a bandwidth speed test in “Bing May Be Building A Speed Test Widget Within Search Results.” Now that might be a game changer for a day, until Google releases its own version. Usually to test bandwidth, you have to search for a Web site that provides the service. Bing might do it on command within every search results page. Not a bad idea, especially if you want to see how quickly your Internet runs, how fast it takes to process your query, or if you are troubleshooting your Internet connection.
The bandwidth test widget is not available just yet:
“A reader of the site Kabir tweeted a few images displaying widget like speed test app within Bing both on the web and their phone (in this case an iPhone). We were unable to reproduce the results on our devices when typing ‘speed test’ into Bing. However, like many new features, this could be either rolling out or simply A/B testing by Microsoft.”
Keep your fingers crossed that Microsoft releases a useful and practical widget. If not just go to Google and search for “bandwidth test.”
Whitney Grace, February 4, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Bing Goes Green, as in Dollar Bills and Brand New Logo
January 29, 2016
The article on Microsoft News titled Microsoft Releasing New Bing Logo Today briefly overviews the recent growth and profitability of the often mocked and overlooked search engine. Microsoft also updated Cortana lately, which is deeply connected to Bing search. So what will the new Bing logo look like? The article explains,
“In the new logo, Microsoft is switching its color scheme to green as it “is easier to see over yellow” and “b” in now in upper case. This new version of the logo will be used across various Microsoft apps and services. Speaking to AdAge, Rik van der Kooi, Microsoft’s corporate VP of advertiser and publisher solutions said that Bing is the only search engine that is experiencing steady, consistent growth and have increased our share for 26 consecutive quarters.”
The article also points out that it is Bing powering Yahoo, AOL, Apple Siri and several other services, from behind the scenes. The green logo looks less like an imitation of Google, especially with the capitalization. Perhaps the new logo is meant to be easier on the eyes, but it is also certainly trying to keep up the positive attention Bing has been receiving lately as 1/3 of the search market.
Chelsea Kerwin, January 29, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
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