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Data Nerd's Corner
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Toward Better Privacy, Data Breach Laws - Krebs on Security

Toward Better Privacy, Data Breach Laws - Krebs on Security | Data Nerd's Corner | Scoop.it
Krebs on Security Toward Better Privacy, Data Breach Laws Krebs on Security President Obama on Monday outlined a proposal that would require companies to inform their customers of a data breach within 30 days of discovering their information has...
Carla Gentry CSPO's insight:

Leaving aside the weighty question of federal preemption, I’d like to see a discussion here and elsewhere about a requirement which mandates that companies disclose how they got breached. Naturally, we wouldn’t expect companies to disclose the specific technologies they’re using in a public breach document. Additionally, forensics firms called in to investigate aren’t always able to precisely pinpoint the cause or source of the breach.

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Google publishes third Windows 0-day vulnerability in a month

Google publishes third Windows 0-day vulnerability in a month | Data Nerd's Corner | Scoop.it
“The issue is the implementation in CNG.sys doesn’t check the impersonation level of the token when capturing the logon session id (using SeQueryAuthenticationIdToken) so a normal user can impersonate at Identification level and decrypt or encrypt data for that logon session,” the Google Project Zero researchers said in a description of the flaw. “This might be an issue if there’s a service which is vulnerable to a named pipe planting attack or is storing encrypted data in a world readable shared memory section.”
Carla Gentry CSPO's insight:

According to Project Zero, Microsoft was notified of the vulnerability on Oct. 17 and initially planned to fix it during its January Patch Tuesday, three days ago. However, the fix had to be postponed because of compatibility issues.

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Representation of women and the genius myth

Representation of women and the genius myth | Data Nerd's Corner | Scoop.it
In a recent issue of Science, there was an article entitled Belief that some fields require ‘brilliance’ may keep women out (hat tip Gary Cornell) that absolutely resonates with my experiences, both as a mathematician and as a teacher.

Namely, it talks about the extent to which women are discouraged to go into a field because that field is somehow reserved for “geniuses,” and women are rarely if ever bestowed with that label. Mathematics is definitely one of those fields; if you are exceptionally successful in mathematics, people call you a genius, and it’s pretty hard to be successful if people don’t think you’re a genius.
Carla Gentry CSPO's insight:

But other STEM fields have less of a reputation for geniuses, and they have correspondingly more women. Biology, for example. Moreover, there are some fields outside of STEM that have way fewer women, which seems unexplained unless you have the “genius” theory. Philosophy is the obvious example here, a very macho field.

In the Science article, they were reporting on a study done by Sarah-Jane Leslie, Andrei Cimpian, Meredith Meyer, and Edward Freeland, in which they surveyed researchers from all sorts of fields in all sorts of research universities and asked them to rate, on a scale of 1-7, statements about their own discipline along the lines of, “Being a top scholar of [discipline] requires a special aptitude that just can’t be taught”. 

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Data Scientists Frustrated by Data Variety, Find Hadoop Limiting

Data Scientists Frustrated by Data Variety, Find Hadoop Limiting | Data Nerd's Corner | Scoop.it
A survey of data scientists finds that a majority of them believe their work has grown more difficult as a result of the rapidly increasing variety of data sources they need to draw upon, and nearly a quarter feel Hadoop is not suited to the analytics they need to perform.
Carla Gentry CSPO's insight:

Companies are focusing more and more attention on building out big data analytics capabilities and data scientists are feeling the pressure.

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Cloudera vs Hortonworks vs MapR: Has MapR Already Won This Contest?

Cloudera vs Hortonworks vs MapR: Has MapR Already Won This Contest? | Data Nerd's Corner | Scoop.it
If you’re part of the decision making process in how to get started with Big Data then you’ve probably already discovered that open source Apache Hadoop has a big lead.  You also know that unless you’ve got a particularly deep NoSQL team or want to write your own proprietary code that the free open source version of Hadoop is not for the great majority of businesses.  You want the benefits of open source but with some support and some capabilities that tie the open source components together in an enterprise quality database system.  You want a Hadoop Distribution.
Carla Gentry CSPO's insight:

Let’s step back a minute though and talk about the decision tree that led up to this point.  Unless you were building an app that clearly needed a NoSQL graph database you were basically selecting from among the three remaining NoSQL options, Key-Value, Document Oriented, and Columnar databases.  (For more on these differentiations see our earlier blog series “9 Lessons for Starting a Big Data Initiative and Selecting the Right NoSQL Tools”).

 

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Customer Analytics Is Key To Growth In Banking

Customer Analytics Is Key To Growth In Banking | Data Nerd's Corner | Scoop.it
Understanding customers is the foundation to a sustainable competitive advantage in banking. Therefore, financial marketers can no longer wait to embrace the power of advanced analytics to gain insights and evaluate opportunities that will improve cross-selling, up-selling and enhance share of wallet.
Carla Gentry CSPO's insight:

It is amazing how some topics continue to stay relevant in banking despite the passage of time. One such topic is the importance of customer analytics in banking. In 2013, I referenced a report from Celent entitled, Customer Analytics in Banking: Why Here, Why Now?, where senior analyst, Bob Meara wrote that it was the time for banks and credit unions to leverage the advances in processing, memory, database design and analytic methods to improve performance and reduce costs

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2015 - The Year of the Sustainability Report

2015 - The Year of the Sustainability Report | Data Nerd's Corner | Scoop.it

Good sustainability reporting requires collection of information from every pocket of your organisation. Make Rivo your sustainability hub and centralise where that information goes, but allow data input from anywhere in the world in almost any format. Centralise audit, inspection or survey templates for completion at local sites. Form a register of key metrics or reporting indicators you must report against and easily see when each becomes compliant: integrate audits, actions and documents to each sustainability obligation to form a fully integrated solution, all accessible from any browser.

Carla Gentry CSPO's insight:

GRI, SASB, CDP, your own methodology? The framework you adopt needs to reflect your sustainability objectives and obligations and needs to be flexible as you evolve. Rivo’s world-leading Associate Thought Leaders will help you select the framework that best reflects the needs of your business and returns the most value. 

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The Internet of Things has four big data problems - O'Reilly Radar

The Internet of Things has four big data problems - O'Reilly Radar | Data Nerd's Corner | Scoop.it
Problem one: Nobody will wear 50 devices

If there’s one lesson today’s IoT start-ups have learned from their failed science project predecessors, it’s that things need to be simple and turnkey. As a result, devices are designed to do one thing really well. A corollary of this is that there’s far too much specialization happening — a device specifically, narrowly designed to measure sleep, or eating speed, or knee health.

Unfortunately, nobody’s going to charge, manage, and wear 50 devices, looking like a demented garage-sale cyborg. VentureBeat’s Harrison Weber managed to try on 56 different wearables at CES.

With this many competitors, the industry will crash. Wearables today are a digital quilt, a strange patchwork of point solutions trying to blanket a human life. To achieve simplicity, companies have over-focused on a single problem, or a single use case, deluding themselves that their beach-head is actually a sustainable market. The aisles of CES were littered with digital yoga mats, smart sun sensors, epilepsy detectors, and instrumented snowboard bindings.
Carla Gentry CSPO's insight:

There might be hope here. If I had a photo stream of every day, and with it a voice recorder, I might be able to see who I was with (and whom to avoid). Start-ups like Narrative Clip, which constantly logs my life by taking a photo every 30 seconds and using algorithms to decide which of those photos are interesting, might give me a clue about what triggered my stress. And portable recorders like Kapture can record conversations with time stamps; their transcripts, analyzed, could help me understand how I react to certain topics.

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Are We Asking the Right Questions in the Wake of the Sony Pictures Breach?

Are We Asking the Right Questions in the Wake of the Sony Pictures Breach? | Data Nerd's Corner | Scoop.it
Much has been written about the Sony Pictures data breach and no doubt, more will be revealed as time goes on.
Carla Gentry CSPO's insight:

Incidents like these seem to surface daily and although the origin and details of most breaches are eventually determined, the origin of the Sony breach, as well as the perpetrators remain up for debate. The US government claims the incident was a nation-state attack launched by North Korea, while cyber security experts seem less sure that’s the case. One security intelligence firm investigating the incident argues for the involvement of an embittered ex-Sony employee, with in-depth knowledge of Sony’s network infrastructure.

In any case, theories abound and it seems as more time passes, the theories offered become more diverse. Most of them are focused on trying to discover the nature of the attack. What malware was used? How did it operate? When did it first enter the network and more importantly, how can we keep it from getting into our organization?

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IBM Insights from the IBM Global C-suite Study

IBM Insights from the IBM Global C-suite Study | Data Nerd's Corner | Scoop.it
The final part of our Global C-suite Study draws on frank face-to-face conversations with 4,183 CxOs around the world to explore what's happening in the inner circle.
Carla Gentry CSPO's insight:

Ten years, 17 studies and 23,000 face-to-face executive interviews have given us rich insights into how private and public sector leaders think. “Exploring the inner circle” is the final installment in our current global C-suite study series. We explore how the C-suite is jointly preparing for the digital era and how they are working together in support of the enterprise

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Agile Data Scientist, A Disciplined Hiker or Reckless Hunter?

Agile Data Scientist, A Disciplined Hiker or Reckless Hunter? | Data Nerd's Corner | Scoop.it
So there in lies two major differences between product and data agile practices:
Product organizations march to milestones like launches and software releases, data science is more of a journey.
Agile product teams evolve products around a stable set of platforms and infrastructure. Data scientists have to choose if and when to be disciplined because there are many tools that can easily bypass defined data structures and practices.
Carla Gentry CSPO's insight:

These two differences are key to managing data science practices and big data technologies. 

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How big data got its mojo back

How big data got its mojo back | Data Nerd's Corner | Scoop.it
Big data never really went anywhere, but as a business, it did get a little boring over the past couple years.

Big data technologies (and not just Hadoop) proved harder to deploy, harder to use and were a lot more limited in scope than all the hype suggested. Machine learning became the new black as startups infused it into everything, but most often marketing and sales software. So much ink and breath were wasted trying to define (or disprove) the idea of data science, probably because the tools of the trade were still so foreign to most people.
Carla Gentry CSPO's insight:

But while the early days of the big data movement hinted at greatness, it’s probably fair to say they didn’t deliver — even if the resulting tools were very useful and very necessary to set the stage for things to come. And, realistically, many companies still haven’t adopted these technologies or these techniques.

 

 

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5 Ways how Social Data can boost Customer Retention for Insurers

5 Ways how Social Data can boost Customer Retention for Insurers | Data Nerd's Corner | Scoop.it

Know your customer – So you have the social data, but do you have the social profile? Most tools today look for keywords in a sea of data, and use those key words for what they think is the customer profile. Dig wider. Go beyond the obvious demographic details. Build a persona of the customer by meshing in what you know about her and what you get from the social channels. Questions like where does he like to eat? Where does he travel most frequently – domestic or international? What is the best way to reach him  – Phone, email, Twitter?

Carla Gentry CSPO's insight:

Customers are more likely to trust you with their lifestyle declarations that they are sharing their social profiles. Ever wondered why? Yes, the answer is lack of trust. And customers are not to be blamed. Time and again corporations have proved they are capable of ‘losing’ critical customer data or being hacked into.  According to a 2013 study by Symantec Corporation, the average total organizational cost of data breach for India is USD 1.1 mn!  Companies need to convince customers that their social data will be used to improve services and not to spy on them, and that they will NOT lose it!

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World of Warcraft May Soon Have a Free Veteran Edition - IGN

World of Warcraft May Soon Have a Free Veteran Edition - IGN | Data Nerd's Corner | Scoop.it
Datamined files suggest Blizzard may soon be offering those who've previously subbed to WoW a new free-to-play option.
Carla Gentry CSPO's insight:

While it sounds like the Veteran Edition may be Blizzards attempt to add World of Warcraft to the list of subscription based MMO that became Free-to-Play titles, the name Veteran Edition and the fact that characters can join guilds if that player already has a character in that guild hints otherwise. At the moment Veteran Edition sounds like it’s aimed more at players who have quit WoW but never really lost that itch to turn it on one more time yet still don’t due to subscriptions.

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The data science project lifecycle

The data science project lifecycle | Data Nerd's Corner | Scoop.it
The CRISP-DM model (CRoss Industry Standard Process for Data Mining) has traditionally defined six steps in the data mining life-cycle. Data science is similar to data mining in several aspects, hence there's some similarity with these steps.
Carla Gentry CSPO's insight:

Given a certain level of maturity in big data and data science expertise within the organization, it is reasonable to assume availability of a library of assets related to data science implementations. Key among these are:
1. Library of business use-cases for big data/ data science applications
2. Data requirements - business use case mapping matrix
3. Minimum data quality requirements (test cases to ensure minimum level of data quality to ensure feasibility)

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Can this app protect you from being hacked?

Can this app protect you from being hacked? | Data Nerd's Corner | Scoop.it
Pop into the Greektown office of Keeper Security and you'll see a mural of goblins trying to break into a safe. It's a metaphor for the company's password management and cloud storage app, which has attracted more than 6.5 million registered users.
Carla Gentry CSPO's insight:

Having your own lockbox for documents, files and photos is a big part of Keeper's sales pitch. At least as big is convenience: Users get one master password to access all their files and logins from any device.

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What Should Data Scientists Know?

What Should Data Scientists Know? | Data Nerd's Corner | Scoop.it
Are there really 28,504 data scientist positions posted on the recruiting site Dice.com? That’s the number that comes up when you search for “data scientist,” but that incorporates listings that include both words, together or not. According to Dice, the number at any given time is actually more like 150.
Carla Gentry CSPO's insight:

Even so, it’s a desirable job. After all, no less than theHarvard Business Review, back in 2012, dubbed the position of data scientist as the sexiest job of the 21stcentury. As Wired noted the following year, “Nate Silver’s eerily accurate election predictions and Paul DePodesta’s baseball-revolutionizing Moneyballtechniques” made celebrities of math nerds. Just a week or so ago, Mashable called it 2015’s hottest profession

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Data Science Art

Data Science Art | Data Nerd's Corner | Scoop.it
What is amazing is the very realistic fractal shape of the coastline, assuming this would be a fictitious map representing some island. The physical process that created these stains is identical to the simulated Markov Process illustrated in one of my previous data videos published in October, with the final frame shown below
Carla Gentry CSPO's insight:

This picture below represents a piece of paper where I wrote down my ideas for new articles, in the last few days, when making my 10 am tea pause. The tea kettle leaked on the sheet, slowly creating the brown stain. Many of my previous ideas were written with a purple pen, creating the purple stains. 

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Disney: Big Data Means Big Value | Light Reading

Disney: Big Data Means Big Value | Light Reading | Data Nerd's Corner | Scoop.it

Today Walt Disney Co. (NYSE: DIS) is one of the leaders in using analytics to improve customer experience at its parks through its unique MagicBands which allow guests to access their rooms, purchase goods and services, get FastPass tickets to rides and attractions, and more.

Carla Gentry CSPO's insight:

With the amount of data being collected skyrocketing and the technology to process and store data being cheaper than ever, technology is no longer the challenge for big data. "The challenge is, 'What are you going to do with the data?'" he says in an interview with The New IP. "Technology vendors and consulting firms do a great job of selling these silver bullet types of approaches, but if you don't have the internal processes, the right people in place to make something out of it, that is going to be the biggest challenge. In my opinion, this is true for small, medium, large companies," he said. (See The Disney Take on Big Data's Value.)

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See Charlie Hebdo's First Cover After Last Week's Attack

See Charlie Hebdo's First Cover After Last Week's Attack | Data Nerd's Corner | Scoop.it
See Charlie Hebdo's First Cover After Last Week's Attack
Carla Gentry CSPO's insight:

Charlie Hebdo's first cover after the attack on its newsroom will feature an image of the Prophet Mohammed, holding one of the "Je Suis Charlie" signs being used to show solidarity with the magazine. The title reportedly expects to produce three million copies this week. Its usual run is 60,000

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Big Data and Data Science: Gold Rush or Bright Future?

Big Data and Data Science: Gold Rush or Bright Future? | Data Nerd's Corner | Scoop.it
There is increasing accessibility to big data. On an individual level, we already are used to the fact that before a job interview, a prospective employer will have Googled, LinkedIn’d and Facebooked our public profiles on the Internet. Now this is migrating to the next level, with all these social service providers selling our digital life histories to third parties. So when we apply for a loan or health insurance, we can expect that our past behavior, both in its individual form and as a collective of a social group, is purchased by the financial institution or insurer for the purpose of developing a commercial response to their (prospective) customers.
Carla Gentry CSPO's insight:

To put this into perspective, the number of APIs (the means by which these services are made possible) available online has been doubling every 18-24 months over the last five years according to ProgrammableWeb.

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Is Facebook hazardous to your health?

Is Facebook hazardous to your health? | Data Nerd's Corner | Scoop.it
It’s Facebook. And research indicates the pervasive urge to see what’s been posted since the last time you checked could be cutting into your sleep, your relationships and your health.
While using Facebook may seem like a harmless habit, some research points to health hazards — and a few benefits.

About 73 percent of adults online use social networking sites, with Facebook leading the pack, according to the Pew Research Center’s Internet Project . Facebook users are also some of the most engaged, with 40 percent of users checking in multiple times each day.
Carla Gentry CSPO's insight:

You may not give much thought to how a status message or shared photo affects you, but research indicates that these seemingly benign actions can have a collective effect on your health and well-being.

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Big Data or Big Confusion?

Big Data or Big Confusion? | Data Nerd's Corner | Scoop.it
60% of marketers surveyed by Econsultancy and Monetate reported having at least four different data sources they used for marketing activities. Another 10% of those surveyed didn’t even know how many they had.
Carla Gentry CSPO's insight:

74% of C-suite executives surveyed by BusinessIntelligence.com and Domo reported that they need to get their data from multiple, unconnected sources. Only 21% of those surveyed said the reports they receive actually contain the information they need.

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Understanding the nature of IoT data

Understanding the nature of IoT data | Data Nerd's Corner | Scoop.it

How will Smart objects communicate?

How will billions of devices communicate? Primarily through the ISM band and Bluetooth 4.0 / Bluetooth low energy.

Certainly not through the cellular network (Hence the above distinction between M2M and IoT is important).

Cellular will play a role in connectivity and there will be many successful applications / connectivity models (ex Jasper wireless which primarily require a SIM card in the device).

A more likely scenario is IoT specific networks like Sigfox(which could be deployed by anyone including Telecom Operators).  Sigfox currently uses the most popular European ISM band on 868MHz (as defined by ETSI and CEPT), along with 902MHz in the USA (as defined by the FCC), depending on specific regional regulations.

Carla Gentry CSPO's insight:

In the ultimate vision of IoT, Things are identifiable, autonomous, and self-configurable. Objects  communicate among themselves and interact with the environment. Objects can sense, actuate and predictively react to events

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What’s the big deal about big data loss (actually theft)? | Fearless Security

What’s the big deal about big data loss (actually theft)? | Fearless Security | Data Nerd's Corner | Scoop.it
In the US, there are about 350M people. Once all of them have their “personally identifiable
information” stolen, is all the liability gone? Think about it. What if we paid annually as a
country? 350M*$90=$31.5B/y for full identity theft insurance for every person in the US. The
US losses from identity theft are less than that, or insurance couldn’t cover it. The US GDP in
2013 was about $16.7T, which means this would cost less than 0.2% of the GDP. At some
point, we can simply assign a value to protection, charge protection prorated to those with the
data, and end the fuss. We could even make all the data public and demotivate the break-ins!
Carla Gentry CSPO's insight:

But risk aggregation issues, imperfections in defenses, and protection costs aside, I am having some difficulty understanding why we care so much about this. The fear mongers seem to be telling us that something dire is happening. But I don’t really see it. I live a life like many others. I work a lot on computers, use email, social media, and VoIP/cellular to communicate. I use credit (not debit) cards to make most of my purchases. I have personal data, health data, pictures of travel, my calendar, etc. online. I drive a car, buy clothes I like, go out to meals sometimes, get cash at the bank, go for walks, play music, watch cable TV, read, write, sleep, move stuff, make dinner (more often eat what others have made), etc - See more at: http://fearlesssecurity.com/whats-the-big-deal-about-big-data-loss-actually-theft/#sthash.e92bU7hu.dpuf

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