Welcome!

Wearables Authors: Pat Romanski, William Schmarzo, Elizabeth White, Liz McMillan, XebiaLabs Blog

Related Topics: @BigDataExpo, Machine Learning , @ThingsExpo

@BigDataExpo: Blog Feed Post

Natural Language Processing | @BigDataExpo #BigData #Analytics #DataScience

Bridging the Gap Between Big Data and Big Information

Apophenia is the propensity to see patterns in random data.”  We encounter it all the time in the real world. Examples include gamblers who see patterns in how the cards are being dealt or investors who imagine patterns in the movement of certain stocks, or basketball fans who believe that their favorite player has the “hot hand.” But apophenia has no place in the world of data science, especially when data science is trying to help us make better decisions about critical things such as the quality of healthcare, where to allocate police resources, ensuring that our airplanes operate effectively or making investment decisions that determine our retirement readiness.

Understanding the differences between epiphany (a sudden, intuitive perception of or insight into the reality) and apophenia (the perception of or belief in connectedness among unrelated phenomena) is critical as data scientists build analytic models to quantify cause and effect. Regression Modeling is a great tool in helping to quantify cause and effect, but one still needs to leverage industry insights and sometimes just plain common sense to make sure that we are not trying to quantify “spurious relationships.” In the world of data science, one cannot automate out the importance of common sense. I think Craig Wilkey nails this distinction in this blog he wrote:

Apophenia is the propensity to see patterns in random data. It was first coined in 1958 by Klaus Conrad – a German neurologist and psychiatrist who, perhaps a little ironically, was attempting to identify early indicators of psychosis.

An apophany (an instance of apophenia) can best be defined in contrast to an epiphany. An epiphany is a moment of sudden and striking realization that leads a person to a greater degree of clarity in the nature of reality – a discovery of a truism, often hidden in plain sight. An apophany is having the experience of an epiphany, but you’re just plain wrong.

We’ve all heard some version of the old adage that correlation does not imply causation. It can be clearly demonstrated that in neighborhoods where there is an increase in ice cream consumption, there is a roughly equivalent spike in aggravated assault incidents. We’d be foolish to assume that eating ice cream makes people irrationally violent, but that doesn’t mean there’s nothing valuable to learn from this. When we broaden the lens a bit and include other variables, the connections become clearer.

In overpopulated urban environments, where there is a greater concentration of disenfranchised people – people who are statistically more likely to commit poverty crimes, and statistically less likely to have air-conditioned homes – heat waves usher in higher levels of frustration, lower levels of tolerance, and more people eating ice cream. We can also sharpen the focus by throwing in aggravation over public transit failures, brown-outs and black-outs, lower productivity, and countless other factors.

So, while enjoying tasty dairy products does not necessarily incite violence, the correlation between ice cream consumption and violence is not meaningless. Ice cream consumption analysis may indeed provide value as a leading indicator, or bellwether, of the potential for violent acts trending upward in a given community. If not a bellwether, it certainly is a valid correlation – as opposed to a simple coincidence.

The purpose of regression analysis is to identify those variables (referred to as independent variables) that help reveal valid correlations in the phenomena one is attempting to predict (the dependent variable).

Regression analysis is a tricky beast to harness. When the whole point is to find hidden correlations that may even defy intuitive understanding, it can be tempting to throw in the entire kitchen sink and see what comes out. The greatest perceived risk in that arises from patterns that may align, but are nevertheless invalid. These coincidences are referred to as ‘spurious relationships’.

If the patterns of some spurious relationship(s) happen to align with the patterns of other independent variables in a regression analysis model, the accuracy of the model will be impacted, and could be dramatically impacted.

It would be foolish to place any faith in all those quirky coincidences we always hear about with sports teams, for example. There is no reasonably conceivable way the first initial of the middle name of the first child born in some small town after the start of a sport’s season could predict the outcome of a team’s playoff standings – but I’d be genuinely surprised if there weren’t some spurious relationship to be found there.

On the other hand, we do have a valid argument for getting rid of the dramatic orchestra strike that foreshadows violent crime in movies, and replacing it with the sound of an ice cream truck.

How do we strike the balance between the desire to uncover hidden variables that provide valuable insight into trends, and the fear of creating an apophenic, potentially psychotic, regression analysis model?

My nearly two and a half decades of experience in IT have led me to the conclusion that the field suffers from rampant apopheniphobia: The irrational fear of finding ostensibly meaningful patterns in random data. (Yes, I did just make that word up. © Craig Wilkey, 2016)

Almost invariably, we simply do not push far enough. Should stock market analysis include things like weather patterns, celebrity news stories and grade school holidays? Absolutely! Classical stock market analysis techniques don’t work as well as they used to. Why? Frankly, we have a greater number of ignorant people playing the market. The proliferation of ‘Day Traders’ has crippled the old market truisms, because so many people who are affecting the market dynamics don’t have any classical training. The things that affect the moods and daily lives of ‘normal people’ need to be considered, because ‘normal people’ are far more active in the markets than they used to be. If they don’t play by the rules, then some of those rules simply cease to apply.

Apopheniphobia is fueled by fears of falling prey to spurious relationships. Who wants to be known as the person who unleashed a dangerously psychotic algorithm into the world? People think about the many statistical oddities they’ve come across, and it stunts their creative growth. For example, did you know there is a direct correlation between the per capita consumption of margarine and the divorce rate in Maine? Cheese consumption is far more dangerous than margarine consumption – it correlates with the number of people who die by becoming tangled in their bed sheets. (And you thought lactose intolerance was bad?) The number of people who drowned by falling into a pool also correlates with the number of films Nicholas Cage appeared in from 1999 through 2009. (Source)

In IT, we have a tendency to drive toward ‘proving’ clear, unambiguous relationships that quantify efforts, justify means and, more often than not, clearly align to our own preconceived notions. We want to be able to show clear lines of progression and indisputably direct relationships – we tend to believe anything less will not be trusted by those who hold the purse strings.

Our hyper-rational modes of thinking have a tendency to overshadow our creative imaginations – which, almost inevitably, leads to hampered understanding. Perhaps the greatest value of regression analysis is that it allows us to challenge our preconceived notions and learn something new. The greatest challenge with it is rarely throwing too much data at our models – it’s not having enough.

Yes, I know… We’re IT. We’re awash with data. We’re swimming in lakes of data and constantly inhaling the fumes of endless data exhaust. What we’re missing is the meaningful data extracted from unstructured information sources – in other words, the extraordinarily valuable information that’s locked away in language that has historically been inaccessible to machines – human language.

Estimates have been telling us for a decade or more that 80% of all information in a given organization is in the form of unstructured, human-readable text. I think there is nowhere that rings more true or significant than in trying to understand customer experience. I’d also argue that the majority of the most important service information is within that 80%.

Customer Experience Personalization absolutely depends on translating that human-readable text to machine-actionable data. When it comes to understanding and deriving value from actionable insights within our customer interactions, we must extract as much understanding from that unstructured text as possible and add it all to the other data in our regression models. Apopheniphobia be damned!

While it’s, admittedly, an oversimplification, it’s convenient to talk about two general approaches to extracting data from text. Text Analytics/Mining breaks the textual input into digestible chunks of string variables and uses statistical modeling techniques to find patterns in those variables. The ideal of Natural Language Processing is to develop a translation engine between human language and machine language. It uses some of the same statistical modeling approaches as Text Analytics, but goes much further by applying semantic and syntactic analysis to extract meaning, intention, sentiment and key concepts (among other things) included in the text.

Our best opportunity to achieve our vision of industry-leading Customer Experience Personalization is to take advantage of Natural Language Processing. This barely scratches the surface of what’s possible. Natural Language Processing will enable us to step aggressively toward extracting real meaning from the vast amount of otherwise machine-invisible, extraordinarily valuable content we have. Using that extracted meaning, in conjunction with our structured data points, will allow us to build truly valuable regression analysis models to understand our customers like never before. Keep pushing until the model breaks, then dial it back a scosche. That is the path to progress.

Apopheniphobia is the enemy of personalization and Customer Relationship Management. This is why I’ve decided to launch the Apopheniphobia Awareness Campaign. Please spread the word! I need to come up with a design for the lapel pin… Maybe a ribbon with as many digits of pi I can squeeze on it – with all the prime digits bolded? Maybe we should schedule a charity walk… We can follow the streets in alphabetical order.

The post Natural Language Processing: Bridging the Gap Between Big Data and Big Information appeared first on InFocus Blog | Dell EMC Services.

Read the original blog entry...

More Stories By William Schmarzo

Bill Schmarzo, author of “Big Data: Understanding How Data Powers Big Business”, is responsible for setting the strategy and defining the Big Data service line offerings and capabilities for the EMC Global Services organization. As part of Bill’s CTO charter, he is responsible for working with organizations to help them identify where and how to start their big data journeys. He’s written several white papers, avid blogger and is a frequent speaker on the use of Big Data and advanced analytics to power organization’s key business initiatives. He also teaches the “Big Data MBA” at the University of San Francisco School of Management.

Bill has nearly three decades of experience in data warehousing, BI and analytics. Bill authored EMC’s Vision Workshop methodology that links an organization’s strategic business initiatives with their supporting data and analytic requirements, and co-authored with Ralph Kimball a series of articles on analytic applications. Bill has served on The Data Warehouse Institute’s faculty as the head of the analytic applications curriculum.

Previously, Bill was the Vice President of Advertiser Analytics at Yahoo and the Vice President of Analytic Applications at Business Objects.

@ThingsExpo Stories
WebRTC is great technology to build your own communication tools. It will be even more exciting experience it with advanced devices, such as a 360 Camera, 360 microphone, and a depth sensor camera. In his session at @ThingsExpo, Masashi Ganeko, a manager at INFOCOM Corporation, will introduce two experimental projects from his team and what they learned from them. "Shotoku Tamago" uses the robot audition software HARK to track speakers in 360 video of a remote party. "Virtual Teleport" uses a...
SYS-CON Events announced today that App2Cloud will exhibit at SYS-CON's 21st International Cloud Expo®, which will take place on Oct. 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. App2Cloud is an online Platform, specializing in migrating legacy applications to any Cloud Providers (AWS, Azure, Google Cloud).
When shopping for a new data processing platform for IoT solutions, many development teams want to be able to test-drive options before making a choice. Yet when evaluating an IoT solution, it’s simply not feasible to do so at scale with physical devices. Building a sensor simulator is the next best choice; however, generating a realistic simulation at very high TPS with ease of configurability is a formidable challenge. When dealing with multiple application or transport protocols, you would be...
Internet-of-Things discussions can end up either going down the consumer gadget rabbit hole or focused on the sort of data logging that industrial manufacturers have been doing forever. However, in fact, companies today are already using IoT data both to optimize their operational technology and to improve the experience of customer interactions in novel ways. In his session at @ThingsExpo, Gordon Haff, Red Hat Technology Evangelist, shared examples from a wide range of industries – including en...
Detecting internal user threats in the Big Data eco-system is challenging and cumbersome. Many organizations monitor internal usage of the Big Data eco-system using a set of alerts. This is not a scalable process given the increase in the number of alerts with the accelerating growth in data volume and user base. Organizations are increasingly leveraging machine learning to monitor only those data elements that are sensitive and critical, autonomously establish monitoring policies, and to detect...
To get the most out of their data, successful companies are not focusing on queries and data lakes, they are actively integrating analytics into their operations with a data-first application development approach. Real-time adjustments to improve revenues, reduce costs, or mitigate risk rely on applications that minimize latency on a variety of data sources. Jack Norris reviews best practices to show how companies develop, deploy, and dynamically update these applications and how this data-first...
Intelligent Automation is now one of the key business imperatives for CIOs and CISOs impacting all areas of business today. In his session at 21st Cloud Expo, Brian Boeggeman, VP Alliances & Partnerships at Ayehu, will talk about how business value is created and delivered through intelligent automation to today’s enterprises. The open ecosystem platform approach toward Intelligent Automation that Ayehu delivers to the market is core to enabling the creation of the self-driving enterprise.
SYS-CON Events announced today that Grape Up will exhibit at SYS-CON's 21st International Cloud Expo®, which will take place on Oct. 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. Grape Up is a software company specializing in cloud native application development and professional services related to Cloud Foundry PaaS. With five expert teams that operate in various sectors of the market across the U.S. and Europe, Grape Up works with a variety of customers from emergi...
"We're a cybersecurity firm that specializes in engineering security solutions both at the software and hardware level. Security cannot be an after-the-fact afterthought, which is what it's become," stated Richard Blech, Chief Executive Officer at Secure Channels, in this SYS-CON.tv interview at @ThingsExpo, held November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA.
Consumers increasingly expect their electronic "things" to be connected to smart phones, tablets and the Internet. When that thing happens to be a medical device, the risks and benefits of connectivity must be carefully weighed. Once the decision is made that connecting the device is beneficial, medical device manufacturers must design their products to maintain patient safety and prevent compromised personal health information in the face of cybersecurity threats. In his session at @ThingsExpo...
SYS-CON Events announced today that Massive Networks will exhibit at SYS-CON's 21st International Cloud Expo®, which will take place on Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. Massive Networks mission is simple. To help your business operate seamlessly with fast, reliable, and secure internet and network solutions. Improve your customer's experience with outstanding connections to your cloud.
Everything run by electricity will eventually be connected to the Internet. Get ahead of the Internet of Things revolution and join Akvelon expert and IoT industry leader, Sergey Grebnov, in his session at @ThingsExpo, for an educational dive into the world of managing your home, workplace and all the devices they contain with the power of machine-based AI and intelligent Bot services for a completely streamlined experience.
Because IoT devices are deployed in mission-critical environments more than ever before, it’s increasingly imperative they be truly smart. IoT sensors simply stockpiling data isn’t useful. IoT must be artificially and naturally intelligent in order to provide more value In his session at @ThingsExpo, John Crupi, Vice President and Engineering System Architect at Greenwave Systems, will discuss how IoT artificial intelligence (AI) can be carried out via edge analytics and machine learning techn...
SYS-CON Events announced today that Datera, that offers a radically new data management architecture, has been named "Exhibitor" of SYS-CON's 21st International Cloud Expo ®, which will take place on Oct 31 - Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. Datera is transforming the traditional datacenter model through modern cloud simplicity. The technology industry is at another major inflection point. The rise of mobile, the Internet of Things, data storage and Big...
SYS-CON Events announced today that GrapeUp, the leading provider of rapid product development at the speed of business, will exhibit at SYS-CON's 21st International Cloud Expo®, which will take place October 31-November 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. Grape Up is a software company, specialized in cloud native application development and professional services related to Cloud Foundry PaaS. With five expert teams that operate in various sectors of the market acr...
In the enterprise today, connected IoT devices are everywhere – both inside and outside corporate environments. The need to identify, manage, control and secure a quickly growing web of connections and outside devices is making the already challenging task of security even more important, and onerous. In his session at @ThingsExpo, Rich Boyer, CISO and Chief Architect for Security at NTT i3, discussed new ways of thinking and the approaches needed to address the emerging challenges of security i...
In his opening keynote at 20th Cloud Expo, Michael Maximilien, Research Scientist, Architect, and Engineer at IBM, discussed the full potential of the cloud and social data requires artificial intelligence. By mixing Cloud Foundry and the rich set of Watson services, IBM's Bluemix is the best cloud operating system for enterprises today, providing rapid development and deployment of applications that can take advantage of the rich catalog of Watson services to help drive insights from the vast t...
SYS-CON Events announced today that CA Technologies has been named "Platinum Sponsor" of SYS-CON's 21st International Cloud Expo®, which will take place October 31-November 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. CA Technologies helps customers succeed in a future where every business - from apparel to energy - is being rewritten by software. From planning to development to management to security, CA creates software that fuels transformation for companies in the applic...
There is only one world-class Cloud event on earth, and that is Cloud Expo – which returns to Silicon Valley for the 21st Cloud Expo at the Santa Clara Convention Center, October 31 - November 2, 2017. Every Global 2000 enterprise in the world is now integrating cloud computing in some form into its IT development and operations. Midsize and small businesses are also migrating to the cloud in increasing numbers. Companies are each developing their unique mix of cloud technologies and service...
Recently, IoT seems emerging as a solution vehicle for data analytics on real-world scenarios from setting a room temperature setting to predicting a component failure of an aircraft. Compared with developing an application or deploying a cloud service, is an IoT solution unique? If so, how? How does a typical IoT solution architecture consist? And what are the essential components and how are they relevant to each other? How does the security play out? What are the best practices in formulating...