Welcome!

Related Topics: @BigDataExpo, @CloudExpo, @ThingsExpo

@BigDataExpo: Blog Feed Post

Whose Data Is It? | @CloudExpo #IoT #AI #ML #DL #M2M #BigData #Analytics

It now seems that sports, in this case the NBA, are breaking new ground with another data analytics topic: who owns the data?

Many times, sports have been at the leading edge of data analytics.  The book “Moneyball” was one of the first popular books to bring the basic concepts behind data analytics and data science to the general audience.  Fantasy leagues, sabermetrics and even games like “Strat-O-Matic” baseball and basketball provided an introduction into basic statistical concepts.

And it now seems that sports, in this case the National Basketball Association (NBA), are breaking new ground with another data analytics topic: who owns the data?  The National Basketball Players Association recently banned NBA teams from using a player’s wearable data in contract negotiations or other transactions (see “NBA Bans Teams From Using Wearable Data In Contract Negotiations”).

Maybe after the bitter fights professional and college athletes had about their “likeness” being used for advertising and promotions (think College Hoops 2K8), the players association wanted to get ahead of the curve on the data ownership issue.  If that’s the case, then that’s a very smart move – and a very telling move.  It brings to light a very interesting question:  who owns the personal data coming off wearables and other “intelligent” devices, and when and how can that personal data be used?

It’s easy to imagine how the NBA owners, agents and coaches could use the wearables data.  But there is already a plethora of data available on player performance.  Do I really need wearables data to tell me that Carmelo Anthony (over-rated New York Knicks forward) doesn’t hustle back on defense (or maybe even play defense)?  I can just look at some basic statistics to uncover that insight (see Table 1)

Offensive Real Plus-Minus

Defensive Real Plus-Minus

Carmelo Anthony, New York Knicks 2.18 -1.84
League Rank #35 out of 445 #403 out of 445

Table 1:  Source: http://www.espn.com/nba/statistics/rpm/_/sort/ORPM

From Table 1, we can see that Carmelo Anthony ranks #35 out of 445 NBA players for offensive effectiveness; however, he only ranks #403 out of 445 players on defensive effectiveness.  Again, I don’t need to see wearables data to understand where during the game Carmelo Anthony is putting his effort and hustle[1].  Plus there are other ways to get much of the same performance and effort data, such as video analytics.

Wearables data could be very beneficial to teams and players by scientifically flagging when a player is gassed and needs a rest, or whose body might be breaking down and needs to take a game off.  Wearables data could be used to create personalized training programs that optimize an individual athlete’s strength, endurance and agility capabilities.  Wearables data could be used to minimize training injuries and speed injury recovery.  The number of ways that wearables data, especially combined with in-game performance numbers and other external sources such as weather (temperatures, humidity, precipitation), social media and location data, could improve individual athlete as well as team performance is only being scratched.

By the way, check out the twitter account https://twitter.com/strong_science for examples as to how leading edge sports teams and athletes are combining data and analytics to achieve superior player development and in-game performance.

So Who Owns the Nest Data?
In order to take this conversation to the next level, I wanted to get a feel for the privacy statements that shield our personal information from being exploited for nefarious uses.  So I checked out a sample Privacy Policy.  And given the growing explosion of in-home Internet of Things (IOT) devices, I thought I’d start with the industry leader in home-based sensors and devices…Google Nest.

Just imagine all the insights that Google Nest could glean from having sensors placed throughout your house.  Here are just a few examples of the types of insights that Nest could glean from that data:

  • How many people live in the house?
  • When those people are typically home during the week?
  • When those people are typically home during the weekend or holidays?
  • When do they typically go to bed?
  • When do they typically get up in the morning?
  • Is there movement during the sleep period and if so, when and where is that movement?
  • When are the residents on vacation? When do they typically go on vacation?  How long are they typically gone while on vacation?
  • Do they take weekends away from the home (like ski weekends) and does that correlate to any holidays or
  • Does the time away from the home correlate to turning down the heat?
  • And more!

Boy, the Google Nest could know an awful lot about your home living patterns and tendencies.  That could be quite dangerous if all that were to get into the wrong hands.  So let’s see how Google Nest is protecting our personal and residence data via their privacy policy.

Here is the Google Nest Privacy Policy:

Device Usage information: If you are logged into your Nest account, we record the IP address you visit our website from, and if you have a Nest device or other connected device, we record adjustments you make to the product through the website interface. We store this data along with your email address, information about your Nest device, data collected directly by the device, a history of your device settings, and any other information we have collected about your use of Nest products and services. See our Privacy Statement for Nest Products and Services to learn more about the usage information collected through our products.

Okay, so not much comfort here that my personal data is being protected and won’t be used for whatever purpose Google decides.  But here is what I found even more concerning, selecting the “See our Privacy Statement for Nest Products and Services” link took me right back to this statement.  Yea, a circular reference to a privacy statement that says nothing about how they are going to protect your information.  If you have a Nest device and are not concerned, well I got a bridge in San Francisco to sell you…

Summary
As IOT devices continue to invade our homes, cars, work areas, shopping malls, movie theaters, coffee shops, grocery stores, sporting arenas, concert halls and airports, the multitude of different organizations that “own” that data will only become more confusing.  And while that data has great potential to do good for the individual, it also has the potential for much bad as well.  This issue is only going to grow as IOT continues its meteoritic growth in all aspects of our lives.  Read a few privacy policies and you will soon realize that the only thing that separates good from bad is only a few words in a paper-thin privacy policy.

And that should scare you.

[1] Real Plus-Minus (RPM) Real Plus-Minus is meant to be predictive.  RPM can help coaches (and agents) differentiate between players who have been consistently good (and will likely keep being good) and players who are merely going through a hot streak (and will likely regress to their mean).

The post Whose Data is it? appeared first on InFocus Blog | Dell EMC Services.

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.

Latest Stories
Microsoft Azure Container Services can be used for container deployment in a variety of ways including support for Orchestrators like Kubernetes, Docker Swarm and Mesos. However, the abstraction for app development that support application self-healing, scaling and so on may not be at the right level. Helm and Draft makes this a lot easier. In this primarily demo-driven session at @DevOpsSummit at 21st Cloud Expo, Raghavan "Rags" Srinivas, a Cloud Solutions Architect/Evangelist at Microsoft, wi...
Containers are rapidly finding their way into enterprise data centers, but change is difficult. How do enterprises transform their architecture with technologies like containers without losing the reliable components of their current solutions? In his session at @DevOpsSummit at 21st Cloud Expo, Tony Campbell, Director, Educational Services at CoreOS, will explore the challenges organizations are facing today as they move to containers and go over how Kubernetes applications can deploy with lega...
As you move to the cloud, your network should be efficient, secure, and easy to manage. An enterprise adopting a hybrid or public cloud needs systems and tools that provide: Agility: ability to deliver applications and services faster, even in complex hybrid environments Easier manageability: enable reliable connectivity with complete oversight as the data center network evolves Greater efficiency: eliminate wasted effort while reducing errors and optimize asset utilization Security: imple...
High-velocity engineering teams are applying not only continuous delivery processes, but also lessons in experimentation from established leaders like Amazon, Netflix, and Facebook. These companies have made experimentation a foundation for their release processes, allowing them to try out major feature releases and redesigns within smaller groups before making them broadly available. In his session at 21st Cloud Expo, Brian Lucas, Senior Staff Engineer at Optimizely, will discuss how by using...
Today most companies are adopting or evaluating container technology - Docker in particular - to speed up application deployment, drive down cost, ease management and make application delivery more flexible overall. As with most new architectures, this dream takes significant work to become a reality. Even when you do get your application componentized enough and packaged properly, there are still challenges for DevOps teams to making the shift to continuous delivery and achieving that reducti...
In this strange new world where more and more power is drawn from business technology, companies are effectively straddling two paths on the road to innovation and transformation into digital enterprises. The first path is the heritage trail – with “legacy” technology forming the background. Here, extant technologies are transformed by core IT teams to provide more API-driven approaches. Legacy systems can restrict companies that are transitioning into digital enterprises. To truly become a lead...
With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend 21st Cloud Expo October 31 - November 2, 2017, at the Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY, and learn what is going on, contribute to the discussions, and ensure that your enterprise is on the right path to Digital Transformation.
Is advanced scheduling in Kubernetes achievable? Yes, however, how do you properly accommodate every real-life scenario that a Kubernetes user might encounter? How do you leverage advanced scheduling techniques to shape and describe each scenario in easy-to-use rules and configurations? In his session at @DevOpsSummit at 21st Cloud Expo, Oleg Chunikhin, CTO at Kublr, will answer these questions and demonstrate techniques for implementing advanced scheduling. For example, using spot instances ...
SYS-CON Events announced today that Yuasa System will exhibit at the Japan External Trade Organization (JETRO) Pavilion 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. Yuasa System is introducing a multi-purpose endurance testing system for flexible displays, OLED devices, flexible substrates, flat cables, and films in smartphones, wearables, automobiles, and healthcare.
SYS-CON Events announced today that CAST Software 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. CAST was founded more than 25 years ago to make the invisible visible. Built around the idea that even the best analytics on the market still leave blind spots for technical teams looking to deliver better software and prevent outages, CAST provides the software intelligence that matter ...
SYS-CON Events announced today that Daiya Industry will exhibit at the Japanese Pavilion 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. Ruby Development Inc. builds new services in short period of time and provides a continuous support of those services based on Ruby on Rails. For more information, please visit https://github.com/RubyDevInc.
When it comes to cloud computing, the ability to turn massive amounts of compute cores on and off on demand sounds attractive to IT staff, who need to manage peaks and valleys in user activity. With cloud bursting, the majority of the data can stay on premises while tapping into compute from public cloud providers, reducing risk and minimizing need to move large files. In his session at 18th Cloud Expo, Scott Jeschonek, Director of Product Management at Avere Systems, discussed the IT and busine...
SYS-CON Events announced today that Evatronix 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. Evatronix SA offers comprehensive solutions in the design and implementation of electronic systems, in CAD / CAM deployment, and also is a designer and manufacturer of advanced 3D scanners for professional applications.
As businesses evolve, they need technology that is simple to help them succeed today and flexible enough to help them build for tomorrow. Chrome is fit for the workplace of the future — providing a secure, consistent user experience across a range of devices that can be used anywhere. In her session at 21st Cloud Expo, Vidya Nagarajan, a Senior Product Manager at Google, will take a look at various options as to how ChromeOS can be leveraged to interact with people on the devices, and formats th...
First generation hyperconverged solutions have taken the data center by storm, rapidly proliferating in pockets everywhere to provide further consolidation of floor space and workloads. These first generation solutions are not without challenges, however. In his session at 21st Cloud Expo, Wes Talbert, a Principal Architect and results-driven enterprise sales leader at NetApp, will discuss how the HCI solution of tomorrow will integrate with the public cloud to deliver a quality hybrid cloud e...