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Friday, January 30, 2015

SAP Complex Event Processing

In Statupfocus: Brought to my attention by a colleague. who is working with SAP Hana.  This lays out the reasons for dealing with more and more complex events.

Sharing Data is Crucial

Something we knew for a long time.  This often also requires the expertise available to make the case that sharing data is valuable for both parties.  That alone is an interesting decision process.  Mapping it out is a great first step to move forward. Expertise is also useful to determine what other, third party or public data can be used to leverage the shared data.  To ultimately produce greater value and a more unified decision process. 

Publix exec: Sharing data is crucial for retailers, suppliers 
" .. Data sharing is key to collaboration between retailers and suppliers, but sometimes patience is necessary when data must be developed strategically, Publix Super Markets President Todd Jones said at the FMI Midwinter Executive Conference. "The supplier information that we receive is extremely important...and I hope they would feel the same way about the information they receive from us," he said.  (May require free registration) ... "

Bayesian Networks as Expert Systems

Modeling causal reasoning is a favorite topic for me. Bayesia has posted another easy to understand demo of how a Bayesian network can be used to model a system of expertise.  Nicely done.  My former enterprise uses this methodology.  If how this fits into other expertise capture work is still confusing to you, this is a good place to start:

" ... Using a Bayesian Network as an Expert System ... 
The well-known "Visit Asia" example in this Quick Start Demo dates back to a seminal paper by Lauritzen and Spiegelhalter (1988). It describes how a Bayesian network can be used as an expert system for medical diagnosis. Visit Asia has been widely used in the literature to illustrate observational and causal inference in Bayesian networks. ... "

Bill Gates on Dangers of AI

In the Wash Post.  He makes some good points about the need for concern. He points to work by MS on personal agents.  And warns: " ... I think we should be very careful about artificial intelligence. If I were to guess like what our biggest existential threat is, it’s probably that. So we need to be very careful with the artificial intelligence. Increasingly scientists think there should be some regulatory oversight maybe at the national and international level, just to make sure that we don’t do something very foolish. With artificial intelligence we are summoning the demon. In all those stories where there’s the guy with the pentagram and the holy water, it’s like yeah he’s sure he can control the demon. Didn't work out. ... " 

Working Ontologist

Had reason to go back and look at ontologies and semantic web solutions, first I had since 2008.  See the Working Ontologist site.  Thought not recently updated.

Thursday, January 29, 2015

Driverless Cars and Traffic

Design and Efficiency.  Some simulation work seems to show that driverless cars would make traffic worse.  Early thought assumed that cars could travel closer together and thus decrease traffic. But cars could also be used as moving offices, increasing use?   Would like to see the assumptions behind this simulation.  It is likely that there would be other unintended consequences of the social changes involved.

Unified Decision Processes Driven with Data

At the Webinar today from Innovation Excellence by Julie Anixter on Big Data and New Product development,  Kobi Gershoni and Tom Davenport highlighted the work done over the years by Procter & Gamble in driving analytics towards operational big data, and by using their Business Sphere and Data Cockpit models.   These are ecosystems that provide a means towards a unified decision model.   Linking analytics ever more closely to the decision process.   Some excellent examples provided.   (I will provide the slides here). Glad to have been a part of that analytics emphasis there over a number of years.  The alumni of that effort continue to drive this ahead.

(Updated:  See this startup, which is doing fundamental work about getting NPD data entered into the system and thus an excellent first step for a unified system )

Coke to Open Innovation Center at GA Tech

Coke and Ga Tech start Center in Atlanta. A favorite topic in these pages.  We established innovation centers starting in 2001.  As places to provide the infrastructure for innovation and link to our regional partners and the increasing amount of data involved.   Also there is increasing interest in emphasis on open innovation approaches.   Later we also looked at regional innovation links to university creativity.   These centers appear to be primarily software oriented. " ... The innovation center, which opens next month, will house about 20 software developers. CCE is attracted to Tech Square for access to Georgia Tech's students, faculty, research. "It's about tapping into Georgia Tech's ecosystem of innovation and people," ... " 

Crowdflower Crowdsourcing

I was asked to take a look at Crowdflower  in order to construct a database of HR data.  Previously we had used Mechanical Turk for a related need.   To provide a crowdsourced way to construct a derived database.   Background.   Comments on its use?

Older Style Prolog AI Still in Use

I just got a note from LPA. relating how their version of the declarative language Prolog is being used to power an Ebola trial in West Africa.  We used Prolog Style declarative languages to deliver successful expert systems in the enterprise.

"... MACRO made it easy to develop the database, data entry forms and validations while the Oxford team were finalizing the trial protocol, thus getting the trial data-ready within six weeks. InferMed efforts included a dramatic dash to Amsterdam by Oli Cram carrying MACRO configured Toughbooks that can withstand repeated sterilization, toensure they caught the connecting flight to West Africa. This version of MACRO uses LPA WIN-PROLOG. ... " 

Crowd Governance Using the Wikipedia

This upcoming talk is intriguing:

OBAIS Seminar SeriesOBAIS Seminar Series
Crowd Governance: The Monitoring Role of Wikipedia in the Financial Market.
Ms Weifang Wu. Phd Candidate at Hong Kong University of Science and Technology
Wednesday, Feb 4, 1:30-3:00 PM EST, 219 Carl H Lindner Hall
At the University of Cincinnati

Abstract:  In this study, we explore whether Wikipedia plays a governance role in the financial market by reducing the information disadvantage of individual investors. We hypothesize that the aggregation of information on Wikipedia enables individual investors to collectively monitor insiders and institutional investors.  Using the creation of a firm Wikipedia page as an information event, our empirical results support our hypothesis and further show that the governance effect is stronger for firms with higher institutional ownership concentration as well as those with more intensive insider trading activity.  Taken together, these findings support the view that Wikipedia helps mitigate the information asymmetry among individual investors, institutional investors and corporate insiders.

More info contact Uday Rao:  uday.rao@uc.edu

Wednesday, January 28, 2015

Computing Now Startup Channel

A Channel, ok a blog, that includes posts and links about computing startups. Have followed the parent Computing Now magazine for years, always very well done.

" ... TV shows like Shark Tank, Project Startup, and Silicon Valley are evidence of an unprecedented wave of interest in entrepreneurship. Driven by crowdfunding, new forms of mentoring, and the ceaseless urge to innovate, startups are popping up everywhere. To hear from successful entrepreneurs, keep abreast of the latest startup news, and find out how to launch and grow a company, read some of the articles below or visit CN's new startup channel .... " 

DashDB Announced as Sandbox Solution

In particular,  presenting the sandbox idea for connecting analytics to data warehouses.  Analytics often requires the ability to test multiple methods and data sets.

Bluemix Announces dashDB is Now Open for Business
IBM dashDB™ continues to grow and improve. A data warehousing and analytics as a service offering, dashDB on the cloud is an easy solution for many different needs. As you build new Bluemix applications, add the dashDB service for fast, easy analytics. If your data warehouse is at capacity, dashDB lets you extend to a hybrid model using proven IBM in-database analytics technology as well as hyper-fast in-memory processing. And if you are a data scientist, dashDB makes an ideal sandbox to solve new analytics problems. ....  " 

Customization Nation with Services and Supply Chain

In Retailwire:   Thoughts about the meaning of services in retail.  Beyond the classic offering of a selection of products.  New changes in the relationship of retailer and manufacturer.  I like the idea that customers are building their own supply chains with the same customization idea.

" ... Supermarket operators are buying into the concept of customization, taking risks and challenging the old ways of doing business. The reward is a distinct uptick in relevance to the shopper.

"As retailers, we have the intimate relation with the shopper," said Bill Nasshan, executive vice president & chief merchandising officer at Bi-Lo Holdings, LLC. "But to become even better, we need to move from just asking the shopper, 'Did you find everything you needed' to 'You should try this product.'" ... ' 

" ... In a session presented by Anthony Flynn, CEO of YouBar and author of Custom Nation, the premise was that grocery retailing is an industry grounded in the delivery of mass produced goods through bricks and mortar locations. But technology now enables consumers to create their own customized supply chains and requires personalized products designed to meet particular needs. What impact will the rise of customization have on traditional and ecommerce retailing? ... " 

Metamind vs Watson

Useful piece in KDNuggets:   In recent conversations with decision makers in the enterprise, see they are always emphasizing the need for more technology as a service.  " ... MetaMind Competes with IBM Watson Analytics and Microsoft Azure Machine Learning ... While Microsoft and IBM rush to bring data science and visualization to the masses, MetaMind follows another path, offering deep learning as a service. .... " 

Changing Role of the CIO

The changing role.  But consider the role too of formulating and directing technical  innovation strategy  as it applies to the needs of the company.

Tuesday, January 27, 2015

Reinventing Supply Chains

From Bain:  Reinventing.  Something we did every few years, and quite successfully.   Most recently just a few years ago.   Here are two public examples:  A Data visualization optimization aided simulation model, with gaming elements.   And an agent based simulation model.  The winning strategy was always to link analytical methods as closely as possible to the decisions involved.  Here an interview with Bain's Adam Borchert. on their take.

Brands Want Actionable Insight

In AdAge:  What we have said for a long time, and why we are still uncertain about the BigData term.  " ... Agencies: Does Your Data Pass the 'So-What' Test? ... ".  Also, I would add, analytics is the driving force to find insight.  But by analytics I mean not just complex (big) analytics, but whatever is needed to get insight.  That can be something as simple as visualizing your data and interacting with it to find value sweet spots.  

Data Science for the Masses

Paper by a colleague. Kirk Borne.  This is not just about Astronomy science data, but broadly applicable to science and industry.  Everyone needs to understand the implications of more and better data and analytics.

The Revolution in Astronomy Education: Data Science for the Masses
Kirk D. Borne (George Mason University), Suzanne Jacoby (LSST Corporation). Karen Carney (Adler Planetarium), Andy Connolly (University of Washington),Timothy Eastman (Wyle Information Systems),  M. Jordan Raddick (JHU/SDSS), J. A. Tyson (UC Davis), John Wallin (GMU)

Abstract:

As our capacity to study ever-expanding domains of our science has increased (including the time domain, non-electromagnetic phenomena, magnetized plasmas, and numerous sky surveys in multiple wavebands with broad spatial coverage and unprecedented depths), so have the horizons of our understanding of the Universe been similarly expanding. This expansion is coupled to the exponential data deluge from multiple sky surveys, which have grown from gigabytes into terabytes during the past decade, and will grow from terabytes into Petabytes (even hundreds of Petabytes) in the next decade. With this increased vastness of information, there is a growing gap between our awareness of that information and our understanding of it. Training the next generation in the fine art of deriving intelligent understanding from data is needed for the success of sciences, communities, projects, agencies, businesses, and economies.

This is true for both specialists (scientists) and non-specialists (everyone else: the public, educators and students, workforce). Specialists must learn and apply new data science research techniques in order to advance our understanding of the Universe. Non-specialists require information literacy skills as productive members of the 21st century workforce, integrating foundational skills for lifelong learning in a world increasingly dominated by data. We address the impact of the emerging discipline of data science on astronomy education within two contexts: formal education and lifelong learners. ...... "

High Speed 3D Microscope

In Kurzweil:   A microscope to take high speed 3D recordings of living things.  " ... A Columbia University scientist has developed a new microscope that can image freely moving living things in 3D at very high speeds — up to 100 times faster 3D imaging than laser-scanning confocal, two-photon, and light-sheet microscopy. ... " 

Content Engineering and AI

Short piece by Omri Astel made me think about how ad content can be engineered based upon the audience.  Early steps have been taken in this direction.  For example, with Watson User Modeling. See this Description/Documentation.    And also some demonstrations.   We experimented with similar methods in the late 80s, managing the interactions of our brand equity.  Based on those early experiences, considerable progress has been made, but not yet to the level of what we would call intelligence.

Smart Phones Altering Brains

In the BBC:   Based on EEG studies.     It is notable that this is a small N study:    " .. Study author Arko Ghosh, from the Institute of Neuroinformatics of the University of Zurich, said: "I was really surprised by the scale of the changes introduced by the use of smartphones."  ... He said the discovery underlines how commonplace smartphones have become in our daily lives. ... " 

Monday, January 26, 2015

Ontologies of Jobs and their Related Tasks and Data


Last year I posted the text below.  Am now in the midst of working on an effort to  classify jobs and included tasks to determine how they can be linked to cognitive and data focused solutions.  Below I link to a very useful resource.   One additional resource would be a more specific and semantic ontology of jobs and task words in context.  Anyone point me to something like that?  ----

---- Have recently started to look at how expertise matches tasks that need to be done.  I have worked in this area in the enterprise  to attempt to optimize resource allocation.  I was pointed to a resource called O Net Online, which includes detailed job task and resource descriptions.  Here is the entry for 'Supply Chain Manager', which I studied in some detail.  While I would disagree with some of the entry, it is still a good place to start.  Generally would need to adapt to your situation anyway.

Further, in our new data intensive world, it is also necessary to add the specifics of data needed to do the work AND the data needed to feed any analytics needed to do the work effectively.   Also consider needs like  the data pattern understanding that might lead to better results.   Making those connections leads to better focus and results.   Also can lead to better tailoring of key advisory systems.

From the comments:
In case you haven't seen it, you may be interested in this paper, which uses the occupations database to forecast how many jobs are "vulnerable" to automation.  - David Schatsky
http://www.oxfordmartin.ox.ac.uk/downloads/academic/The_Future_of_Employment.pdf

EU Internet of Things Architecture Project

I was pointed to this site which reports on the completion of an EU project on IOT architecture.   I like its form.   Its first goal: " ... an architectural reference model for the interoperability of Internet-of-Things systems, outlining principles and guidelines for the technical design of its protocols, interfaces, and algorithms; ... " .  Can anyone point me to to related and up to date work in Europe or elsewhere I can reference for an ongoing study?

Platfora Solution

This Platfora solution was recently mentioned to me.  Examining.

" ... The only complete solution out there. Platfora is the only end-to-end software platform to run natively on Hadoop and provide raw data preparation, in-memory acceleration, and rich visualizations to better share insights. ... " 

Wrist Smart Marketing

In Retailwire:  In-store broadcasting to Smart Watches.  More from InMarket.  I see they are looking at the behavioral interaction between shopper and wearable.  We were also most concerned with what the shopper really wanted in such communications.   We looked at smart displays, cart based devices, smartphones and even wearables before they were feasible.

" ...    Working with Los Angeles-based startup InMarket, Marsh installed beacons across its 75 stores. Shoppers who use Marsh's mobile app or one of the apps in inMarket's numerous applications will be able to decide if they want to receive push notifications on their Watch (when it arrives in March) or smartphone when they enter the store. InMarket's apps include LisEase, Key Ring, Epicurious and CheckPoints. The company's beacon platform reaches 18 percent of all U.S. mobile users, per comScore.

Marsh decides which apps are triggered by the beacons and customers are able to choose which apps work. If approved, a shopping list may pop up for a customer when they enter the store. Shoppers may also be pinged with recipe suggestions or offers in aisles. InMarket believes the Watch is more suitable for messaging than the smartphone. ... " 

Can Big Data Give us Bionic Brains?

Deloitte Analytics report talks about "Bionic Brains"
Juha Hulkkonen,  Business Development Leader at IBM, writes:  "The So What" section in Deloitte Analytics report is good plain language discussion of how cognitive computing will impact any knowledge-intensive domain ... 

Internet of Things from Davos

Correspondent Shoumen Datta of MIT sends along his PDF presentation on the Internet of Systems from Davos.  Always an interesting and a strongly visual resource. Now emphasizing the systems aspects.

Sunday, January 25, 2015

Herb Simon's Last Lecture

From the currently ongoing AAAI conference via Jim Spohrer.  On Herb Simon.  I was most interested in his work about systematizing decision making and AI, still very relevant in the new cognitive world.  Some discussion of Herb Simon's last public lecture.   Will follow up on that.   Also, a YouTube video of Herb Simon speaking.  Talked of engaging him, but never met him.

Microsoft Surface Hub

Saw a demonstration of this last week,  Microsoft Surface Hub, with the aim to make it useable from phones to large touch screens using the upcoming Windows 10.  Beyond conferences, can be used to deliver data directly to multiple decision makers that need process synchronization. Saw a presentation of this when it was being delivered by Perceptive Pixel.   And more in CWorld.

" ... Microsoft wants Windows 10 to run on everything—phones, tablets, PCs, and even whiteboards. The Surface Hub is its take on the interactive whiteboard—a collaboration tool for businesses that combines Skype for Business, a 4K HDTV, and the largest capacitive Pen/touch display on the market.

I got some hands-on time with the product at Microsoft's Windows 10 launch event, and came away with one thought—we have to get one of these for the Labs.

I tried the 84-inch and 55-inch versions of the device. Standing next to the 84-inch version, you really get the sense you are standing in front of an enormous blank canvas. The screen runs at 120Hz, which is double what competing whiteboards can deliver.

If you are familiar with Perceptive Pixel, the display company Microsoft acquired two years ago, the Surface Hub will seem familiar, too. In fact, this is the same technology you see on most broadcast news shows. But Microsoft has made some important changes. ... " 

How Big Data is Changing New Product Development

Below is an  collaborative webinar featuring two groups I have done work with.  And includes Tom Davenport, who included our analytics efforts at Procter & Gamble in his books.   I am looking forward to attending.


WHAT: How Big Data is Changing New Product Development + FREE white paper "Product Development in the Age of Big Data: What You Need to Know"
WHO: A Live Webinar with Tom Davenport and Kobi Gershoni
WHEN: January 29, at 11:00 am Pacific Time/2:00 pm Eastern Time
HOW: Click this link to register

Signals is proud to announce a webinar in partnership with Innovation Excellence, the world’s largest crowdsourced innovation website, with over 150,000 unique visitors from 170 countries.
In this 50-minute webinar, Tom Davenport and Kobi Gershoni will answer questions around what it means to embed the intelligence from Big Data in the development of new products and services and how it will change the work and landscape of new product development. They will explain the practical challenges organizations are facing today and share the key success factors for embedding Big Data in the NPD.

WHAT will you learn:
The main decision points in every NPD process, from ideation to launch that can be supported with Big Data
The types of new product data with which companies are increasingly being faced with
The current and future role of product developers
How other companies are harnessing “product intelligence” - from better, faster decision-making to embedding better data and smarter analytics in the NPD process

Pivoting on your Business Model

In Entrpreneur: Have not seen this covered before, but some of the recent enterprise changes made me think about it. Some good, simple ideas.

Saturday, January 24, 2015

Gartner: Mobile Apps will be Hybrid

A Gartner prediction that over 50 percent of Apps will be hybrid by 2016.  This question came to mind during the recent announcement of Windows 10 enhancements running on Windows phones.   Which of those will also operate on different architectures?  A concern for BYOD enterprises.

' ... "Our advice would be to assume the enterprise will have to manage a large and diverse set of mobile applications that will span all major architectures," said Van Baker, research vice president at Gartner. "Enterprises should consider how applications can be enriched or improved by the addition of native device capabilities and evaluate development frameworks that offer the ability to develop native, hybrid and Web applications using the same code base. Where possible, development activities should be consolidated via cross-platform frameworks."  ... ' 

Mentioned at the meeting were 'Universal Apps', though the meaning of universal is not quite what you might expect.  It means that the same Apps will run on all Windows 10 devices,  but not on other OS like Android or IOS.

Blockchain Beyond Bitcoin

In Radar O'Reilly:  More detailed information about the concept and its broader applications.

Getting Knowledge Management Right

In the APQC Blog:  Some useful thoughts about knowledge management.    KM is still an important topic, but I see it being mentioned less often.   Is that because we have access to so much more knowledge now?

Making Stores Matter

In McKinsey: Stores need to refine how they use their real estate.

" ... For decades, the retail industry has followed the same straightforward formula for growth: open new stores. By replicating a proven store format in a new catchment area, retailers could reliably enlarge their customer base and count on healthy increases in sales.

But the world has changed. More than half of consumers now research their retail purchases online, making purely in-store purchase decisions the shrinking minority. In many categories, e-commerce has dramatically lessened the need for physical stores. “Virtual space”—which we define as the floor space that would be required to generate the sales volume that online retail now accounts for, at a sales density equivalent to the industry average—is expanding at a staggering rate. In this new world, what is the role of the brick-and-mortar store?   ... " 

Friday, January 23, 2015

Systematizing Training Tasks for Specific Goals

I just got a promotion from the Kahn Academy pointing to their new iPad App.  Now available for download.    Always thought it would be a good to systematize the kind of capabilities that Kahn has for topics like math.  For example, consider training as a set of short incremental tasks.  For a manager that wants to update their knowledge, say in business statistics to better understand Big Data, put together a series of these tasks, then prompt them on their tablet to complete sections daily. If useful, gamifying the process.  Here is what they write about the resources they have:

" ... Sharpen your skills: Over 150,000 interactive exercises with instant feedback and step-by-step hints for each question.

Flex your muscles: Get interactive math exercise recommendations tailored just for you.

Show your work: No need for paper or typing -- use our touch scratchpad to work through math problems! Once you have your answer, just write it with your fingertip and we’ll recognize it!

Track back: Your activity auto-magically syncs between your iPad and khanacademy.org, so your progress and recommendations are always up-to-date, anytime, anywhere.    ... "

User Centered Design

In Wired:  Fascinating piece.   " ... How the Home Telephone Sparked the User-Centered Design Revolution .... Have you ever thought about why doorknobs are positioned at around two-fifths of the door’s height, instead of right in the middle? Or why a washing machine is of its particular shape and size? These sound like stoner thoughts, but there’s actually an entire discipline and rich design history devoted to the answers. ... "  ... " 

First Look at Apache Spark

A video and technical view intro of the programming capability.  Examining. " .... Apache Spark, the open-source, cluster computing framework originally developed in the AMPLab at UC Berkeley and now championed by Databricks is rapidly moving from the bleeding edge of data science to the mainstream. Interest in Spark, demand for training and overall hype is on a trajectory to match the frenzy surrounding Hadoop in recent years. Next month's Strata + Hadoop World conference, for example, will offer three serious Spark training sessions: Apache Spark Advanced Training, SparkCamp and Spark developer certification with additional spark related talks on the schedule. It is only a matter of time before Spark becomes a big deal in the R world as well. ... " 

Comment Requirements Changed

Due to increasing Spam in comments,  you now need to register to post a comment.  In addition, as before, all comments are moderated.  Historically this blog has few comments. I still welcome your thoughts, my address can be found in a number of locations.  I will answer any serious questions.  I also sometimes repeat a conversation here.

Thursday, January 22, 2015

The In-Store Internet of Things

In Retailwire:  From research by Cisco.  We talked to Cisco when the only connective technology was phone and RFID tags.  Everything can and will be connected.  Good overview, shows again the need for better standards.

Google Buys Lift

Late, but of interest.   A move in life sciences.  " ... Google has acquired Lift Labs, which makes a mechanical spoon for people suffering from tremors, in a move giving Google new technology for combating neurodegenerative diseases. ... San Francisco-based Lift Labs will become part of Google's Life Sciences division within its Google X research facility for next-generation projects. Terms of the deal, which has already closed, were not disclosed.  ... " 

Mobile Shopping Myths from Data Insight

In McKinsey:   An instructive look at UK mobile data:

" ... Understanding what matters in mobile is increasingly critical as people become ever more wedded to digital devices. In the United Kingdom, for instance, two out of three adults own a smartphone, checking it an average of more than 150 times a day.1 And two-thirds of smartphone and tablet users say mobile has meaningfully changed the way they shop, with more than a third of them visiting fewer brick-and-mortar stores2 —a number that only seems set to rise.

Perhaps it’s no wonder many retailers are scrambling to invest in digital apps, as well as other sophisticated tools and features. Yet they should stop and ask what consumers really want. Because while the perfect mobile strategy has yet to be devised, fresh McKinsey research on mobile habits in the United Kingdom3 suggests it should be based on a simple principle: providing a fast, easy, enjoyable shopping experience. Few mobile shoppers are actively looking for “bells and whistles,” such as video, expert opinions, or magazine-style articles—at least not yet. They want clean, mobile-optimized sites with easy-to-read pages that load quickly, easy-to-use shopping carts, and smooth checkouts  ... "

Leadership Development in a Changing World

My former enterprise is in the news with speculation about who the next CEO will be.   It is still mostly promotion from within there. Candidates mentioned for CEO are still all long time employees. How is this changing in a rapidly changing technology world?  HBR on evaluating your leadership development.

Microsoft HoloLens Demonstration

Saw a demonstration of Microsoft HoloLens today.  An impressive see-through visor that sits on your head and can give you 3-D holographic experiences.   Wirelessly.   Spatial Audio.  Gaze tracking. Gesture and Voice driven.  3D Spatial sensors and mapping without markers.  An associated creation and design tool called HoloStudio.

 I have worked on industry applications for the concept for years, but this is the first approach that appears to be business practical.  Works under the soon forthcoming Windows 10. More obtrusive now than Google Glass, but clearly not meant to be worn all the time.    Link to 3D printing was shown. Could change the way much  complex 3D design and interactions are done.  Obvious gaming implications.  A new interface with computing.   Overlaps virtual reality AND augmented reality. More in Mashable.  Demo at about 1:37 in video here.  Developed in collaboration with the NASA Jet Propulson Laboratory.

This also has the potential as another data source for analytics applications.  Or how about analytic applications that interact with the 3D world?

Wednesday, January 21, 2015

Knowledge Discovery with Unsupervised Learning

Fascinating example using Bayesia's graphical methods.   I like how the visualization leads to useful  implications of the discovery.  Easy to follow example with stock market data.  Links to a complete tutorial.   Why Stocks?  They motivate:

" .... This area can perhaps serve as a very practical proof of the powerful properties of Bayesian networks, as we can quickly compare machine-learned findings with our own understanding of market dynamics. For instance, the prevailing opinions among investors regarding the relationships between major stocks should be reflected in any structure that is to be discovered by our algorithms.

More specifically, we will utilize the unsupervised and supervised learning algorithms of the BayesiaLab software package to automatically generate Bayesian networks from daily stock returns over a six-year period. We will examine 459 stocks from the S&P 500 index, for which observations are available over the entire timeframe. We selected the S&P 500 as the basis for our study, as the companies listed on this index are presumably among the best-known corporations worldwide, so even a casual observer should be able to critically review the machine-learned findings. In other words, we are trying to machine-learn the obvious, as any mistakes in this process would automatically become self-evident. Quite often experts’ reaction to such machine-learned findings is, “well, we already knew that.” That is the very point we want to make, as machine-learning can — within seconds — catch up with human expertise accumulated over years, and then rapidly expand beyond what is already known.expertise accumulated over years, and then rapidly expand beyond what is already known. .... " 

Cognitive Computing Book

Cognitive Computing, A Brief Guide for Game Changers  by Peter Fingar,  just received.  I commented on early versions.   They write:

" ... This book is a concise report on the most noteworthy developments in artificial intelligence having a transformational impact on work and society as a whole. Leaders in government and business can ill afford to miss this early-warning book. A lot of effort went into making the book concise so that very busy people will have time to grab the essence of this hugely important subject —and act! 

This book is a concise report on the most noteworthy developments in artificial intelligence, a field of endeavor that's been around since the 1950s. But now, with a breakthrough called "deep learning," artificial intelligence is finally getting human-like intelligence. The AI redux, Cognitive Computing, is having a transformational impact on work and society as a whole. This quantum leap requires a whole new way of thinking and acting if we are to reap the benefits and understand the potentially catastrophic downsides. The book uses a unique multimedia format with QR codes and tiny URL links that let readers drill down on many of the topics. Leaders in government and business can ill afford to miss this early-warning book. A lot of effort went into making the book concise so that very busy people who have little time to read, the game changers, will have time to grab the essence of this hugely important subject -and act!   ... " 

New Product Development and Big Data

Below is an  collaborative webinar featuring two groups I have done work with.  And includes Tom Davenport, who included our analytics efforts at Procter & Gamble in his books.   I am looking forward to attend.


" .....

WHAT: How Big Data is Changing New Product Development + FREE white paper "Product Development in the Age of Big Data: What You Need to Know"
WHO: A Live Webinar with Tom Davenport and Kobi Gershoni
WHEN: January 29, at 11:00 am Pacific Time/2:00 pm Eastern Time
HOW: Click this link to register

Signals is proud to announce a webinar in partnership with Innovation Excellence, the world’s largest crowdsourced innovation website, with over 150,000 unique visitors from 170 countries.
In this 50-minute webinar, Tom Davenport and Kobi Gershoni will answer questions around what it means to embed the intelligence from Big Data in the development of new products and services and how it will change the work and landscape of new product development. They will explain the practical challenges organizations are facing today and share the key success factors for embedding Big Data in the NPD.

WHAT will you learn:
The main decision points in every NPD process, from ideation to launch that can be supported with Big Data
The types of new product data with which companies are increasingly being faced with
The current and future role of product developers
How other companies are harnessing “product intelligence” - from better, faster decision-making to embedding better data and smarter analytics in the NPD process   ... " 

When to Analyze Big Data

In Smart Data Collective, by Richard Boire  I like the mentions of real time data and also that we need to look at longitudinal (historical) views to understand its implications.

Xerox Licenses Thinfilm Labels

Interesting characteristics of this labeling system, with likely applications to Internet of things applications.

" ... Each label, costing a few pennies, is a plastic tag that’s based on ferroelectric capacitors and allows for power-free archival storage in the 10-15-year range. This isn’t some data center technology though; we’re only talking 10-36 bits. They are however very rewriteable – the data can be rewritten 100,000 times. This means the labels are perfect for continually storing and refreshing the output of sensors. ... "    

Amazon pulls Diaper Brand

This very notable private label introduction has been pulled after six weeks on the market.  In GigaOM.  They say for redesign.   Do expect more examples of private label CPG from Amazon, leveraging their delivery and consumer knowledge expertise.