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Gary Edwards

Mining the knowledge locked in ECM | IDM Magazine - 0 views

www.idm.net.au/...51-mining-knowledge-locked-ecm

ECM Deep-Learning SaaS

shared by Gary Edwards on 16 Mar 16 - No Cached
  • The first announcement was that Google open sourced TensorFlow, a type of machine learning system that uses unsupervised learning, i.e. “Deep Learning.” TensorFlow powers Google Photos, Google Translator and backbone features such as search and Smart Reply. Not to be outdone, Microsoft announced that it is a open sourcing its “Deep Learning” system called Distributed Machine Learning Toolkit (DMTK).
  • Why would Google and Microsoft open their “secret sauces” to the world? There are a number of reasons one can speculate, but anytime you open up your secret sauce, it’s to win over programmer’s minds. In fact, machine learning and specifically Deep Learning subjects are not for the average corporate web application developer. You will need people who have strong mathematics and computer science skills along with machine learning background.
  • The impact of having access to these Deep Learning system capabilities will be truly disruptive, especially in the area of unstructured data. It is true Hadoop has all the underpinnings of a great ECM system with its distributed file system, map/reduce for large-scale data processing. Generating indexes associated with documents is a natural progression since Hadoop abundantly provides these capabilities.
  • ...3 more annotations...
  • However, ECM is much more than just large volumes of documents that is in need of indexing. ECM involves the whole life cycle of document management that includes: create, capture, indexing, approval (workflow/case management processing), publishing (version management), collaboration (share), archiving & defensible disposal (Records Management) Having Deep Learning capabilities will transform ECM into a more advanced type of product. A product that can determine the content regardless of its content type (image, text, audio, and video). This will shift the technology from a simple content management solution to a knowledge management system.
  • Today, the best ECM systems can do is to classify your content by looking at metadata tags and keywords in documents. As an example, it will not be enough to look at a document and classify it as a legal contract. Deep Learning will take ECM to the next level, by not only classifying the document as a contract but also evaluating it to make sure it is an iron clad contract that has the necessary clauses to assure your company is protected!
  • Deep Learning will also provide Natural Language Processing (NLP) capabilities. You now have turned your corporate Enterprise Content Management system from a simple unstructured data repository into an oracle of corporate data.
  • Gary Edwards on 16 Mar 16
     
    By Mitch DeFelice Recent announcements from Google and Microsoft regarding machine-learning capabilities will provide the ability to transform corporate Enterprise Content Management (ECM) system from a simple unstructured data repository into an oracle of corporate data. In their book Smart Customer Stupid Companies…Why Only Intelligent Companies Will Thrive, and How to Be One of Them - the authors Michael Hinshaw and Bruce Kasanoff articulate how customers are becoming "smarter" with technology advancements.  The book presents a sound case that companies that do not evolve with their customers will become irrelevant. There have been two recent announcements that have occurred (November 9th, 2015 and November 12th, 2015 respectively) that have the potential to turn the metaphorical phase "Stupid Companies" to mean literally that.
Gary Edwards

How Google will beat Amazon's cloud | ZDNet - 0 views

www.zdnet.com/...google-will-beat-amazons-cloud

Cloud-Computing Cloud-Productivity-Platform

shared by Gary Edwards on 29 Feb 16 - No Cached
  • The cloud has upended the enterprise storage market, but that isn't its competitive advantage. Local scale-out storage can be competitive with cloud because network bandwidth isn't cheap.What the cloud has that no enterprise-scale datacenter will ever have is the ability to spin up 10s of thousands CPUs - a virtual supercomputer - to run analytics against the data. CPUs are expensive - and they'll remain so as long as Intel can keep them that way.
  • The ready access to massive CPU cycles means that cloud will always be better at deep analytics, especially ad-hoc queries, than enterprise scale datacenters. But more importantly, cloud-based machine learning, neural networks and artificial intelligence are the next major evolution in how we use data.
  • And that's where Google has a huge lead over Amazon. Amazon's focus on building cloud-based datacenters makes them irresistable now, but the future of the cloud is with applications that can use thousands of cores to create value.
  • Gary Edwards on 29 Feb 16
     
    "THE EVOLUTION OF NEW TECHNOLOGY New technologies go through predictable phases. The hype cycle is phase one. Cloud is well beyond that. Phase two: we build what we already have with the new technology. So, cloud-based file storage. Amazon has moved far beyond storage. They enable customers to build entire data centers in the cloud. That is their key strategic advantage. Phase three is where life gets interesting: we build what we could not build before. More on that in a moment. That's the build side. What about the use side? Today, customers are happy building data centers in the cloud. They are looking for AWS to add more capabilities so they can run their legacy apps and get rid of their internal data centers altogether i.e. cloud admin will be a fast growing occupation; sys admin won't. THE NEXT STEP The cloud has upended the enterprise storage market, but that isn't its competitive advantage. Local scale-out storage can be competitive with cloud because network bandwidth isn't cheap. What the cloud has that no enterprise-scale datacenter will ever have is the ability to spin up 10s of thousands CPUs - a virtual supercomputer - to run analytics against the data. CPUs are expensive - and they'll remain so as long as Intel can keep them that way. The ready access to massive CPU cycles means that cloud will always be better at deep analytics, especially ad-hoc queries, than enterprise scale datacenters. But more importantly, cloud-based machine learning, neural networks and artificial intelligence are the next major evolution in how we use data. And that's where Google has a huge lead over Amazon. Amazon's focus on building cloud-based datacenters makes them irresistable now, but the future of the cloud is with applications that can use thousands of cores to create value. Look at what Google - and Microsoft - has done with machine translation. Yes, you need many petabytes of storage for the corpus, but the real key is in the compute resources and algorit
Gary Edwards

It's Time for Microsoft to Reboot Office - WSJ - 0 views

www.wsj.com/...ft-to-reboot-office-1444155726

Office-365 Office-Productivity

shared by Gary Edwards on 25 Apr 16 - No Cached
  • The target customer for much of Office’s evolution is corporate. But there are 15 million people who pay $70 or more a year for Office updates—and countless more who, like me, have bought Office for a home computer.
  • There’s a generational divide at work here: A survey last summer by the tech firm BetterCloud found that companies whose employee base averaged between 18 and 34 were 55% more likely to use Google than Office; those who average 35 to 54 were 19% more likely to use Office.
  • I'm a transactional lawyer, been using Word since 2002, and I think it's a terrible word processing program.  But we're stuck in it - there's no way out.MS has never fixed the two core horrible problems in Word - Styles and Section Breaks.  They should be removed from the program completely - there is no way to "fix" them.Before you say that they can be learned -- and I have indeed learned them -- here's the reality:  No one but me -- and I mean not one single lawyer or secretary I have ever worked or emailed with -- works correctly with Styles or Section Breaks.  Our long documents are emailed to the lawyers for the other parties, they make changes in their own, different Styles with additional manual formatting, and the documents become a mess.  Since we save and re-use our documents, I have to spend a lot of time cleaning them up, only to see them messed up again by the end of each deal.  And Styles can break by themselves.Word is junk.  Still inferior to 1996 WordPerfect.
  • ...6 more annotations...
  • Thom - We still have WordPerfect on our office PCs.  We stopped using it because all our clients have only Word.  And no one has WordPerfect.  So what good does it do to make a document in WordPerfect when no one else can open it or revise it.We're stuck with Word, and it is awful awful awful. It was a shock how bad Word was when we switched from WordPerfect in 2002, and Word gets worse with each iteration.And it's not just Styles and Section Breaks; it's so many other things.I could do and edit macros in WordPerfect.  Not Word.Automatic numbering in Word is a failure, and Word does not play nice when we buy "add-ons" to try to fix that.Word does NOT incorporate an Excel spreadsheet easily, and Word's tables are below primitive.Word cannot even capitalize correctly in "Title Case", but WordPerfect could in 1996.
  • What Microsoft needs to do is fix some of the issues it's had for years - creating robust numbered/billeted lists that don't mysteriously change format - word styles that just work instead of changing anytime a word in that style is bolded. I spend more time fixing templates than I do using them in some instances. Word should look at Adobe FrameMaker for some methods on how they could simplify the application while making it more robust.
  • Fowler is correct that workplaces are the bread and butter of Office. Many home users who aren't students really don't need a complete office suite. But they never did - that's nothing new.
  • @Kevin Morgan, the problem is that everyone uses Office and Word.  They are compatible with offices across the world.
  • @Timothy D. Naegele @Kevin Morgan I think that the problem is that users (neither companies nor individuals) have pushed for standard formats such as open documents.  When you are tied to a particular standard, you are stuck with the platform.
  • @Vance Burks  Vance there are several very specific examples of things that make my teeth grind right here in Mr. Fowler's article.  I ran into exactly the same things. The biggest thing that bugs me about Office 365 is that you never know whether your document, or your edits are going to be there when you come back.  It relates to their decision to hold back the full feature set of the product, and the way they sync.  It's a flawed product architecture. With Google docs, it's sticky and I know that no matter what, my doc and my edits are going to be there when i return.  Also there are the annoying, unnecessary prompts - detailed in this article.  They are sort of Microsoft's signature, a symptom of their culture. I lived in Woodinville-Redmond for almost two years, and I never once met a happy Microsoft employee.  Well, there was one he has 18 patents and worked there for 25 years.  Then they fired him, and now he's unhappy too.  It's a very messed-up company. Unhappy culture.
  • Gary Edwards on 25 Apr 16
     
    "I've purchased the latest Microsoft Office for every computer I've owned. It was a foregone conclusion. Dating back to when Word was white type on a blue screen, I used it so often I could recite the shortcuts. (Thesaurus? Shift-F7.) But Microsoft has run out of reasons to keep me paying. How we get work done on computers has fundamentally changed. For the new Office 2016, Microsoft wants you to pay $150 for collaborative capabilities that others already do better, free. It brings little new to people who rely on deep features in Word, Excel, PowerPoint or Outlook. Its mediocrity led me to a larger conclusion: It's time for Microsoft to press Control-Alt-Delete on the whole concept of Office. My relationship with Office started to sour as smartphones carried my work everywhere while my Office files stayed in the cubicle. I began emailing myself instead of fretting about scattered .doc files. Google ran with the work-anywhere idea early. Its free Web-based word processor and spreadsheet allow people in different locations to edit a document together. With Google Docs and Sheets, there's no more emailing drafts back and forth."
Gary Edwards

How Google will beat Amazon's cloud | ZDNet - 0 views

www.zdnet.com/...google-will-beat-amazons-cloud

AWS Google SaaS

shared by Gary Edwards on 16 Mar 16 - No Cached
  • What the cloud has that no enterprise-scale datacenter will ever have is the ability to spin up 10s of thousands CPUs - a virtual supercomputer - to run analytics against the data. CPUs are expensive - and they'll remain so as long as Intel can keep them that way.The ready access to massive CPU cycles means that cloud will always be better at deep analytics, especially ad-hoc queries, than enterprise scale datacenters. But more importantly, cloud-based machine learning, neural networks and artificial intelligence are the next major evolution in how we use data.
  • And that's where Google has a huge lead over Amazon. Amazon's focus on building cloud-based datacenters makes them irresistable now, but the future of the cloud is with applications that can use thousands of cores to create value.
  • Gary Edwards on 16 Mar 16
     
    "Amazon has built a multibillion-dollar business in AWS, while Google is far behind. But the cloud is a rapidly evolving beast, and Amazon's advantages are about to be turned against them. THE EVOLUTION OF NEW TECHNOLOGY New technologies go through predictable phases. The hype cycle is phase one. Cloud is well beyond that. Phase two: we build what we already have with the new technology. So, cloud-based file storage. Amazon has moved far beyond storage. They enable customers to build entire data centers in the cloud. That is their key strategic advantage. Phase three is where life gets interesting: we build what we could not build before. More on that in a moment. That's the build side. What about the use side? Today, customers are happy building data centers in the cloud. They are looking for AWS to add more capabilities so they can run their legacy apps and get rid of their internal data centers altogether i.e. cloud admin will be a fast growing occupation; sys admin won't."
Paul Merrell

The CIA Says It Can Predict Social Unrest as Early as 3 to 5 Days Out - Defense One - 0 views

www.defenseone.com/...132121

surveillance state CIA cloud computing social-unrest-prediction

shared by Paul Merrell on 12 Oct 16 - No Cached
  • The reason: a dramatic improvement in analytics, cloud computing and ‘deep learning.’
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