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Monday, March 02, 2015

Center for Neural Decision Making

Was referred to this recently.  I like the broader view of looking at decision making in general, not just that which can be detected by brain science.

"... The Center for Neural Decision Making at the Fox School of Business (At Temple University) investigates the neurobiological bases of human behavior, preference formation, and decision making. .... 

CNDM research has recently been featured in several news articles, including  in Forbes: Neuromarketing: Pseudoscience No More  (February 24th, 2015) and  in Science Magazine:  What will be the best Super Bowl commercial? Science may have the answer (January 27th, 2015).  .... "   (Links at the site)

We followed the super bowl ad metric for some years here.

A number of interesting publications are pointed to.  Part of @foxschool, but there appears to be no stream for the Neural Decision Making work except at the site link above.

On the State of Neuromarketing as Science

Via Forbes,  by Roger Dooley.  He examines the status of a long running ARF study, which he says includes both positive and negative results for neuromarketing.  I have been part of neuromarketing tests, both inside a large enterprise, and as part of a startup that sold the analysis methods.

" .... Most recently, an exciting new study from Temple University researchers took direct aim at the most popular neuromarketing technologies in an attempt to validate their effectiveness. The work was done at Temple University’s Center for Neural Decision Making at the Fox School of Business. A separate team at New York University analyzed the collected data and compared it to actual advertising results. The project was funded by the Advertising Research Foundation, which has been engaged in a multi-year effort to develop standards for neuromarketing. ... " 

Good read, but still preliminary. Links to the Temple study above are worthwhile.   Conclusion?  Neuromarketing studies appear to extend classical maketing analysis techniques.  But the reason the studies appear to work cannot yet be confirmed by the neuroscience reasons suggested.  Seems to aim towards an art vs science conclusion.  Which increases risk in their application.   Similar to what I heard from neuro scientists in 2007.

Shopping in Virtual Reality

Spent some time looking at how people might shop using virtual reality.  In particular was part of a retail innovation group that looked at Second Life for this.  That broader 3D environment there did change the result. Our outcome was that VR, as it existed then, did not promote shopping for the CPG categories we examined. But should the virtual environment mimic live retal?  Clearly for some domains, especially those that integrated complex 3D interaction, or information,  the outcome would be different. Retailwire examines this in a discussion.   Worth a yet closer look.  Glad to share informally.   Any other reactions?

" ... According to Walker Sands' "2015 Future of Retail Study," more than a third of consumers would do more online shopping if they were able to try on a products virtually using a device like Oculus Rift. What do you think the arrival of virtual reality technology will mean for e-commerce? How will it affect physical stores?  ... " 

Linear vs Jackknife Regression

A technical and practical  piece on the topic.  I recall a project in the enterprise that could have used this explanation.  The idea is not used often enough, perhaps because it is not taught fundamentally in analytics overviews?  It should be near the top of the tool box.   Just sent this note out to several business intelligence practitioners to get comment.   Reminds me that there should always be a way to automate a half dozen common analyses at play.  And we are starting to see exactly that.   Again, surprised this has taken so long, it has been discussed for many years.

Expanding Gannt Modeling

More dimensions applied to the Gannt chart. Knowledge Cubes they are calling it.  From Metier.  Inspired by Tufte. Its certainly an expansion of data in the process space,  but not what I would call Big Data.   Interesting view,  though more dimensions does not always mean better understanding.   You can get a demonstration at the link. ...

Designing Wearables

On Wearable design. Do people have to re-learn how to wear, and utilize a watch.    Or has it become pure ornamentation for a few?

Sunday, March 01, 2015

IKEA to Sell Furniture that Charges Devices

At least with Android devices.    I am a long time follower of office design that embeds technology. Despite how that is seemingly becoming obsolete.    Was unaware of this line, but look forward to wireless clutter.   " .... IKEA Will Start Selling Qi Wireless Charging-Enabled Furniture In April 2015 ... " .  More on Qi Wireless.

Keys to Presentation and Storytelling

In Presentation Zen:   Have not visited for some time.  Good thoughts.

" ... The key to success with presentation—and storytelling in general—is to focus not on getting approval or a particular response from the audience, but on giving something meaningful to them. That is, it’s not about getting but about giving. Many years ago I was inspired by the approach to performance by the conductor Benjamin Zander. In his teachings, and in his book The Art of Possibilities, Zander encourages us to move the focus from ourselves —“Am I good enough? Will they like me?”—and instead to turn our attention to the audience and ask the question “How can I make a contribution? ... " 

Zakta Search and Social Intelligence

I went back to look at Zakta, a company formed by a number of former colleagues.  A few years ago I had cause to take a deeper dive.  Now looking again.    " ... Zakta is the Social Intelligence Platform. Enable smarter decisions by tapping into the collective wisdom ... ".    Worth taking a look, because enterprise research and analysis is rarely done well collectively.  This came out of a number of deep looks at how the enterprise works and how it now uses search, often very ineffectively.   Good white paper is included.

Challenges of Synchronizing Marketing and Technology

MIT Tech Review:   Some of the motivations and approaches behind cognitive approaches that address delivering intelligence.  Thoughtful piece.   Noticing these dynamics:
" ... “I very much admire the end goal,” said Boris Katz, a professor of computer science at MIT and a member of the original Watson team, speaking at the Yorktown event. But he added that business pressures could encourage IBM’s researchers to move more quickly than they would like. “If the management is patient, they will really go far,” he said. ... " 

Big Data Strategy

Teradata Magazine on Big Data Strategy.   Nicely done, readily scannable information and graphics.   Useful statistics and detail.  A number of useful case studies.

Saturday, February 28, 2015

A Short History of Big Data

Overview by Bernard Marr.  Really about data systems in general. Not enough about the actual distinctions between data Big or otherwise, because there are not that many.  Lots about volume, too little about analytics needed.  Still worth a read.

Palindrome Games at Bletchley Park

Brought to my attention in the Language Log,  Which points to a much longer piece on  Palindrome construction games played by the code breakers at Bletchley Park,  as shown in the recent movie about Alan Turing and the Enigma Machine: The Imitation Game.   Still in theaters.  For you text analytics, game playing code breakers out there, this is meaty stuff.  For others, bear with us.   At very least it shows the complex structure and richness of human language.

Longest clever English palindrome (It reads the same in both directions, ignoring spaces and punctuation):

Doc, note: I dissent. A fast never prevents a fatness. I diet on cod

Exploiting the non Randomness of People

Fascinating piece in the Wolfram blog on methods to exploit the inability of people to create random patterns, using the example of the 'Where's Waldo' search game. Nicely done analysis using Wolfram analytical software.  Applications for the real world?   I recall examples we worked on to find 'hidden' items in a space.  To what degree does this work best when the human is trying harder to be random?  They mention another example of building a system to win the rock-paper-scissors game against humans.

Design Sketching and Coding

From IEEE: A favorite topic, how do we take the informal sketches of a non graphic artist and convert them into knowledge with precision?    See also post on CogSketch.

How Software Designers Interact with Sketches at the Whiteboard
Nicolas Mangano, Thomas D. LaToza, Marian Petre, and Andre van der Hoek, Member, IEEE

Abstract—Whiteboard sketches play a crucial role in software development, helping to support groups of designers in reasoning about a software design problem at hand. However, little is known about these sketches and how they support design ‘in the moment’ particularly in terms of the relationships among sketches, visual syntactic elements within sketches, and reasoning activities. To address this gap, we analyzed 14 hours of design activity by eight pairs of professional software designers, manually coding over 4000 events capturing the introduction of visual syntactic elements into sketches, focus transitions between sketches, and reasoning activities. 

Our findings indicate that sketches serve as a rich medium for supporting design conversations. Designers often use general-purpose notations. Designers introduce new syntactic elements to record aspects of the design, or re-purpose sketches as the design develops. Designers constantly shift focus between sketches, using groups of sketches together that contain complementary information. 

Finally, sketches play an important role in supporting several types of reasoning activities (mental simulation, review of progress, consideration of alternatives). But these activities often leave no trace and rarely lead to sketch creation. We discuss the implications of these and other findings for the practice of software design at the whiteboard and for the creation of new electronic software design sketching tools. ... "
(Full technical paper at link above)

Friday, February 27, 2015

Useful Data Science Tutorials

Have mentioned this resource before, but I passed it on to a colleague today and see it is worth mentioning again.  A resource of key short tutorials for data scientists.  Technical details for beginners and all practitioners.  I agree, this is an essential starting point.  From the often useful Data Science Central.  Subscribe.

Fembots and the Gender of AI

Interesting piece on the presented gender of AI and notably robotics as it is delivered today.  Why is this often presented as female?  I think this will change as the idea extends more broadly into our everyday office and home world.

Enterprise Data Usage

Statement of a growing problem.  Recently saw this in a project.  More about the kind of and completeness of data rather than the volume of data.

"As the volume and complexity of data barraging businesses from all angles increases, IT organizations have a choice: they can either succumb to information-overload paralysis, or they can take steps to harness the tremendous potential teeming within all of those data streams," said EMC's Jeremy Burton.

Enterprises have made headway in their data management since then, given the number of big data initiatives and the thousands of organizations of all sizes that are undertaking them. If nothing else, there has been a reshaping of thinking in the data center about data under management."As the volume and complexity of data barraging businesses from all angles increases, IT organizations have a choice: they can either succumb to information-overload paralysis, or they can take steps to harness the tremendous potential teeming within all of those data streams," said EMC's Jeremy Burton  ... " 

Tech Megatrends and IT

In CIOInsight.   A good survey on the influence of tech megatrends on IT.   Obvious examples like Bringing your own devices in the enterprise.

Spontaneous Discovery

Thoughtful piece via a scan from the Tom Peters Blog:

Surprise, Transformation & Excellence through “Spontaneous Discovery”:
A Personal Saga,  this is a revision of an antique—but arguably more relevant than ever (PDF version also available):  "Thinking is the enemy of creativity. It's self-conscious and anything self-conscious is lousy. You simply must ... Do things."—Ray Bradbury.

Book: Big Data Revolution is Big Data at work.

Just received a preview copy of: Big Data Revolution: What farmers, doctors and insurance agents teach us about discovering big data patterns  by Rob Thomas and Patrick McSharry.  To be published next week.

Will read shortly.  An initial scan would indicate this is a very practically oriented, entirely non-technical look at why the Big Data analytics revolution is important for many industries.  Ideal for the executive scan and selective read in related contexts. Deals with actual business decisions to be made and the consequence of making them better!  Will comment later after a read.

They write:

" ... Exploit the power and potential of Big Data to revolutionize business outcomes

Big Data Revolution is a guide to improving performance, making better decisions, and transforming business through the effective use of Big Data. In this collaborative work by an IBM Vice President of Big Data Products and an Oxford Research Fellow, this book presents inside stories that demonstrate the power and potential of Big Data within the business realm. Readers are guided through tried-and-true methodologies for getting more out of data, and using it to the utmost advantage. This book describes the major trends emerging in the field, the pitfalls and triumphs being experienced, and the many considerations surrounding Big Data, all while guiding readers toward better decision making from the perspective of a data scientist. ... " 

Thursday, February 26, 2015

Favorite Data Science Books from Kirk Borne

Correspondent Kirk Borne posts a selection of his favorite books on Data Science, Machine Learning and Analytics.    Taking a look now.  Met Kirk at a recent conference and was impressed by his mingling of the learnings of physical science (notably also in my own specialty, Astrophysics)  and business data science.  There is much to learn from mixing deep quant science and data.  I am trying to convince him that this could be taken further, into the realm of decision science.    See also his Twitter stream.  @KirkDBorne.  I follow it. Keep up the good reporting work.

Planograms for Profits

Planograms are diagrams of where goods are placed in a physical retail store.   We did much work on how to implement them consistently and to comply with manufacturer - retailer agreements and produce real value.   Plus linking them to actual consumer shopping behavior.   Retailwire discusses their application.

How Enterprises Use AI

In CWorld:   Good overview of the expansion of the use of cognitive, AI and links to Machine learning.  Based on learnings at the recent AAAI meeting.   My experience and connections, have led to getting lots of queries about where to start.

" .... While A.I. is being used in smartphones and self-driving cars, it's also working its way into the enterprise to filter spam out of email, handle complicated scheduling or detecting fraud in big data deployments.

"I think IT probably needs artificial intelligence," said Stephen Smith, a professor who specializes in robotics and A.I. at Carnegie Mellon University. "There are increasing cyberattacks we're dealing with. We have bigger, more complex problems with all the issues arising out of the explosion of the Web and all of our big data. We're already using A.I. It's already there. I think A.I. in the enterprise is going to start to cascade." ... " 

Service Innovation in a Digital World

In McKinsey Quarterly:  New Business models for services.  Discussion of key technologies that are modifying service delivery.

" ... New digital upstarts are threatening the bottom lines, growth prospects, and even business models of traditional service providers. It’s time for incumbents to innovate—or be left behind.

A growing number of companies are finding their service businesses under threat. The culprits are members of a new wave of digital upstarts that capitalize on changes in technology, customer behavior, and the availability of data to create innovative, customer-friendly alternatives to the services incumbents offer. Indeed, the sorts of digital disruptions that began in retailing with the likes of Amazon, two decades ago, are fast coming to an industry near you—if they haven’t already. Examples include Uber and Zipcar in transportation, Airbnb in hotels and hospitality, AngelList in venture capital, and Castlight Health and Healthgrades in healthcare. Attackers such as these may be small now, but they represent a growing challenge to traditional companies. .. " 

Google for the Enterprise

We participated in several Google tests at work, starting with internal search and knowledge organization methods.  Now they are taking another run at the enterprise workplace via Android:

 " ... On Wednesday, Google Inc. announced its Android for Work program in an effort to tap into the “business and innovation potential” of the more than one billion Android smartphones in use.

Google claims that for many Android smartphone owners the devices have become essential tools in their day to day lives, both personal and professional. But Rajen Sheth, director of product management of Android and Chrome for Work feels that “for the majority of workers, smartphones and tablets are underutilized in the workplace.” ... ' 

Bluetooth Weaving a Mesh

In CWorld:     A natural next step is outlined.   " ... Bluetooth starts weaving its mesh for IoT ... Low-power Bluetooth devices should get a standard way to organize themselves in networks next year .... " 

Good Bad and the Ugly about Big Data

What is next? Wondering what to expect? Check out this presentation from Juan Miguel Lavista, Principal Data Scientist. Bing.  'The Good, the Bad and the Ugly about Big Data & Data Science':   Requires registration.

Wednesday, February 25, 2015

Sample Naive Bayes Text Classification in Python

Via O'Reilly: Nice Python example of using Naive Bayes for text classification.  With actual code, and links to talk and slides.

" ... Full repo here: https://github.com/arnicas/NLP-in-Python
This is an example of going from labeled text to machine classification, first with NLTK and then the Python machine learning library scikit-learn. Examples updated from my OpenVis Conf talk here, which is more entertaining: https://www.youtube.com/watch?v=f41U936WqPM and slides: http://www.slideshare.net/arnicas/the-bones-of-a-bestseller
Warning: Rated NC-17. Using text samples from "50 Shades of Gray"! (Because spam is boring.) ... " 

Gamification for Testing and Learning Analytic Tools

In the HBR: Gamification Can Help People Actually Use Analytics Tools ... We did this to test supply chain design alternatives ...  since any game includes a simulation to evaluate a particular set of parameters, typically applied over time, its a natural idea.  We used the idea more for testing the results,  rather than learning the tool.    It should be tried more often.                

Pringles as Global Kelloggs Snack Equity

Was a participant in the design of Pringles supply chain.  I saw first hand how widely it was sold in Japan.  In clothing stores?   It is interesting to see how this very global brand,  after its sale to Kellogg, has changed its global snack presence.  An interesting article with numbers in Food Business News.

Status and New Product Adoption

In Knowledge@Wharton: 

" ... Certain consumers are keen about adopting new products and are prone to mimicking the product choices of others. But when it comes to status-enhancing products, people in the middle of the status hierarchy are most likely to adopt a new product quickly, according to a recent paper co-authored by Yansong Hu, a professor at the University of Warwick in the U.K., and Wharton marketing professor Christophe Van den Bulte. The paper, “Nonmonotonic Status Effects in New Product Adoption,” was published in the May 2014 edition of the journal Marketing Science. ... "  

Hospitality Innovation at Starwood

We worked with groups in the hospitality industry to brainstorm the future of business mobility.    So the industry has always fascinated me.

Now in McKinsey:  " ... Redefining service innovation at Starwood. The head of the hotel company’s loyalty program, Mark Vondrasek, describes its approach to technology, guest loyalty, and disruptive new competitors .. " .  

Notably also, learnings in loyalty:       "  ... Guest loyalty has always been important to Starwood, but a few years back we began to get far more granular in how we approached it as we studied the profitability of our guests in side-by-side comparisons. We found, for example, that the top 2 percent generated 30 percent of our organization’s profits—an incredibly high concentration. We also learned that the “platinum” members of our loyalty program—Starwood Preferred Guest (SPG)—are many, many times more profitable than guests who aren’t SPG members. Analyzing the data was eye opening, and really pushed us to reexamine how we think about loyalty and benefits.   ... " 

More granularity loyalty should be better analyzed in retail as well.

A Look at Correlation

A useful, only mildly technical tutorial by Vincent Granville.  How can you determine if a correlation is spurious?   Understanding this point is one of the most important aspects of using analytics in business.  It matches a technical measure with a real life decision. Worth a read.

Storytelling, Context and Persuasion

All data tells a story, in a context, and suggests a future.

" ...  In a world increasingly saturated with data and information, visualizations are a potent way to break through the clutter, tell your story, and persuade people to action. Raw statistics by themselves are fine. But showing in context, whether with a simple chart or more creatively in an interactive form, is the future of sharing information, and needs to be embedded in the thinking of all communications professionals.

Combining data - which can be dry - with real creativity - which isn't something humans, even creative ones, can simply turn on and off - can be challenging. Yet we live in a stream-powered mobile world that is increasingly visual, inspiring demands from media to achieve equal parts style and substance for news. This explains why unique and truly compelling visualizations are an underused, yet devastatingly effective tactic. They are equal parts rare and in demand. They beg to be shared. They are a catalyst for conversation, awareness, and action. .... ".

Tuesday, February 24, 2015

The Yo Store

Why?  Its a one stop shopping place for sensing online events.   In Fastcompany.   " ... Eight months after bewildering the tech world, Yo is getting a substantial revamp, according to TechCrunch. Today, the startup launched the Yo Store, a repository of branded channels that let you subscribe to notifications of your choosing. Want to know when an item on Product Hunt gets 500 upvotes? Yo will tell you. Need to know whenever there's a new listing under a certain search term on Craigslist? Don't worry about it, yo. ... " 

P&G's Strategic CIO

In CIO Mag:

by Phil Weinzimer: 

P&G's Filippo Passerini Stands Out as Stellar Example of a Strategic CIO ...  I didn't know what to expect when Procter & Gamble CIO Filippo Passerini agreed to be interviewed for my book, The Strategic CIO: Changing the Dynamics of the Business Enterprise. Passerini rose through the ranks at P&G to become not only CIO, but also president of the company's Global Business Services division. Given that P&G is an $84.2 billion consumer products company with almost 5 billion customers in 70 countries, managing one of its four main business units is of course quite a responsibility.  ... " 

Graph Databases and Modeling the Internet of Things

Have had a number of conversations on the use of graphical databases lately.  It is a good technology to understand.    It works well with anything that is interconnected.  As are people and any communicating things.  Obviously:  Its exploratory data analysis and resulting discovery.   In SiliconAngle:

" .... As a result, the Internet of Things should perhaps instead be called the “Internet of Connected Things.” This emphasizes the network itself, and the many interaction points between individual devices, people, apps, and locations; and how they can and should (or should not) interact. Understanding and managing these connections will be at least as important for businesses as understanding and managing the devices themselves.

Imagination is key to unlocking the value of connected things. For example, in a telecommunications or aviation network, the questions, “What cell tower is experiencing problems?” and “Which plane will arrive late?” can be answered much more accurately by understanding how the individual components are connected and impact one another.

Understanding connections is also key to understanding dependencies and uncovering cascading impacts. Such insight allows businesses to identify opportunities for new services and products that make the most of the IoT. To identify these opportunities, businesses need tools that can show these connections quickly and easily. ... " 

Building a Mobile Supply Chain

By their nature, supply chains are mobile and real time:

" .... Embracing mobility promises to increase visibility and responsiveness in the supply chain when properly leveraged. For these reasons, businesses are more and more interested in embracing mobile applications. In this year's North American Mobile Enterprise Applications report, Frost & Sullivan reported that companies reporting the use of at least one mobile worker application rose from 73% in 2013 to 82% this year. "Currently, 49 percent of businesses across North America adopt between one and ten applications, indicating a significant acceptance of these solutions," the report said. ... " 

Searching on Amazon vs Google

Thought about this the other day.  Where do I search?  Google,  Amazon, Wikipedia.   My own blog posts.   I typically categorize my search need quickly to make a decision.   Overlap often exists.

Monday, February 23, 2015

Technology Disruption in Health Care

Video interview: Dr. Robert Wachter, chief of hospital medicine at UCSF Medical Center and a noted expert on quality and safety, says information technology is disrupting healthcare in unexpected and sometimes unfortunate ways. ... " 

An Adaptive Dance of Drones

In NewScientist: Drones continue to advance, their cooperation, adaption and autonomy is particularly interesting.

Visualizing Sound

In the CACM:
" .... In the movies, people often discover their room is bugged when they find a tiny microphone attached to a light fixture or the underside of a table. Depending on the plot, they can feed their eavesdroppers false information, or smash the listening device and speak freely. Soon, however, such tricks may not suffice, thanks to efforts to recover speech by processing other types of information.

Researchers in the Computer Science and Artificial Intelligence Laboratory at the Massachusetts Institute of Technology (MIT), for instance, reported at last year's SIGGRAPH meeting on a method to extract sound from video images. Among other tricks, they were able to turn miniscule motions in the leaves of a potted plant into the notes of "Mary Had a Little Lamb," and to hear a man talking based on the tiny flutterings of a potato chip bag.     ... " 

Multi Sensory Computer

In Forbes, on the IBM Chip:

Meet The Brain-Inspired Computer Chip That Can Smell, Feel And Hear
By Dharmendra S. Modha, Ph.D., IBM Research

Building a computer that could match the power of the human brain has long been a goal of scientists. In August, we made a breakthrough, published in Science in collaboration with Cornell Tech, which is a significant step toward bringing cognitive computers to society. We announced that we’ve built a computer chip that functions like a brain does with the ability to sense, taste, feel, smell, hear and understand its surroundings.

The SyNAPSE chip is a neurosynaptic computer chip that is a size of a postage stamp and runs on the energy equivalent of a hearing-aid battery. This technology could transform science, technology, business, government, and society by enabling vision, audition, and multi-sensory applications ... " 

Storeless Generation

How can the 'storeless' generation be won back?   Good thoughts important to retail.

" .... But can a big-box store truly be a third space in the classic Oldenburg sense? Recent research suggests yes, but stores need to make a strategic decision about what role they play in the lives of consumers: Are you merely a fulfillment center or do you have enough permission from consumers to turn your store into a third space again? If the answer is the latter, the pleasure of shopping and the social interaction the younger generation crave can take center stage again. It’s not too late. ... " 

Japanese Hotel to Be Staffed by Robots

New robotic service application.  Here in Japan.  " ... This summer, a hotel will open in the Netherlands-themed Huis Ten Bosch amusement park in Nagasaki, Japan. It will have 72 rooms. Room fees will start at $60 per night. And it will be staffed by 10 humanoid robots. ... "   The humanoid aspect is interesting

Warning of a Digital Dark Age

Despite methods like the Internet Archive, in the BBC:

" ... Vint Cerf, a "father of the internet", says he is worried that all the images and documents we have been saving on computers will eventually be lost. Currently a Google vice-president, he believes this could occur as hardware and software become obsolete.

He fears that future generations will have little or no record of the 21st Century as we enter what he describes as a "digital Dark Age".. ... "

Sunday, February 22, 2015

HBR: Data Scientist as Sexiest Job

Probably, but still on a wave of hype, as currently defined .... Is Decision Scientist next? Data Scientist; The Sexiest Job of the 21st Century. - HBR.

Watson and Jeopardy at the Brink

Jim Hendler mentions how close Ken Jenning's came to winning the Jeopardy competition over Watson - very true - check out his TED talk about after the event and his reflections  How much would this event have changed a new future for AI?    IBM is not the only player today, though it has raised interest in the topic.

Microsoft Launches Azure Machine Learning

Newly announced:

" ... Microsoft officially announced at the Strata Conference today, the general availability of the Azure Machine Learning service for big data processing in the cloud. It also announced some enhancements to the platform since its Beta release in June.

As we wrote in June, “The product is built on the machine learning capabilities already available in several Microsoft products including Xbox and Bing and using predefined templates and workflows has been built to help companies launch predictive applications much more quickly than traditional development methods, even allowing customers to publish APIs and web services on top of the Azure ML platform.” ... " 

Saturday, February 21, 2015

Data Layers in Big Data

Bernard Marr on data layers that comprise big data.   Very nice, instructive and non technical, this is the essential part of defining what Big Data is.

What Does the Term Cognitive Assistance Mean?

A Linkedin Discussion started in the CSG group by Frank Stein, Director of Analytics Solution Center at IBM.  I have added some additional examples and comments

What Does the Term "Cognitive Assistance" mean? .... 

A US Government representative asked one of our team, Chuck Howell, "What does the term 'Cognitive Assistance' mean"? What is in scope for cognitive assistance systems? Chuck stitched together this working definition, after a quick back and forth, by combining excerpts from two important documents ....  "

Chuck Howell, Mitre, Scott Kordella, Mitre,
Frank Stein, IBM

Liquid Metal Electronics

In Gizmag: Possible application to 3D printing,  reminds me of a product development fabrication experiment long ago.  Probably not useful in my realm, but fascinating.

NGrams, Data and Patterns in Human Culture


A data lens to human culture.  As yet unread, but of interest.  Uncharted: Big Data as a Lens on Human Culture  Hardcover – December 26, 2013 by Erez Aiden  (Author), Jean-Baptiste Michel (Author)  See also here.

" ... Between 2007 and 2010, graduate students Erez Aiden, Jean-Baptiste Michel and Yuan Shen developed a tool for analyzing Google’s digitized books. Known as the N-gram viewer, their tool essentially just counted the number of times a word or phrase appeared in all the digitized publications for a given year.  ....

Aiden and Michel have written about their N-gram viewer and how they came to develop it in a book: Uncharted: Big Data as a Lens on Human Culture (2013). The book gives lots of interesting example of how N-grams might be used to track fame, understand nationalism, explore the birth and death of words and concepts, and follow the influence of inventions. Aiden and Michel see their tool as part of a big data revolution that will transform the way we understand human culture in general and history in particular. “Big data,” they argue, “is going to change the humanities, transform the social sciences, and renegotiate the relationship between the world of commerce and the ivory tower” (p. 8). ......   "


Simple Graph Plotting

Brought to my attention, a simple way to deliver plots.  Not perfect or anywhere near complete, but I like to collect simple means.  I have Tableau, Excel and half dozen other means at hand too.

Realtime Strategic execution

Trends in 2015, the need for real time

" ... Project teams will deliberate less and plan in real-time more. Companies will recognize a cultural difference as a point of strength, rather than a source of confusion. And, more than ever, IT will emerge as a leading influence on the critical decisions that drive organizational success. These and other developments are among the following top 10 "strategic execution trends for 2015," as adapted from a list compiled by IPS Learning. Above all, the trends speak to the increasing need-for-speed mindset that CIOs and other executives must adapt to keep up with the pace of technology and market changes. "As business continues to accelerate, flexibility and speed of strategic execution become ever more important," says Tim Wasserman, chief learning officer of IPS Learning and program director of the Stanford Advanced Project Management (SAPM) program. "Smart, high-performing organizations have already structured themselves to react more quickly to external and internal shifts. They view the future as a possibility, change as an opportunity and their strategy as the tool to get them there." IPS Learning partners with a variety of academic institutions, associations and organizations, including the Stanford Center for Professional Development (SCPD), to advise organizations on how to achieve better growth and smarter innovation