Comment period for internet “fast lanes” closes today, FCC sees record submissions

analyticalsolution:

What do all those comments say? So far, sentiment analysis by NPR and the Sunlight Foundation suggests the vast bulk of the comments are in favor of keeping the internet rules as they are. But it’s far from clear that Chairman Tom Wheeler has the political juice to use the only legal process (called “Title II”) that would allow the agency to do that.

Originally posted on Gigaom:

The great debate over the “open internet” or “net neutrality” or “fast lanes” — or however you describe the FCC’s proposal to change the rules of the internet — enters a new phase this week, and Monday is the public’s final opportunity to weigh in on a process that has already attracted more comments than the infamous Janet Jackson “wardrobe malfunction” incident.

The process pits the telecom industry, which wants to be able to offer priority treatment to preferred websites, against a coalition of companies and public interest advocates who want the FCC to maintain the practice under which internet providers must treat all online the traffic the same way. Some are styling the fight as “Team Cable” versus “Team Internet.”

Monday’s deadline represents the close of a “reply period” to a first round of comments, and means the [company]FCC[/company] will, in theory, have all the input it needs to…

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4 Tips for Maximizing Analytics for Business Forecasting

Predictive analytics can help CFOs and other business leaders examine market and operational data that can help them better forecast business outcomes.

Source: spotfire.tibco.com

The use of predictive analytics and data discovery tools can help CFOs and other business leaders identify shifts in business and operational results that can offer valuable lessons regarding future cycles (e.g., sales of a certain product category tend to rise and ebb during the first and third fiscal quarters).

See on Scoop.itData Nerd’s Corner

How Banks Are Using Big Data to Set Deposit Rates

Worried that the Federal Reserve will start raising interest rates next year, many banks are reconsidering their strategies for attracting and keeping deposits — and turning to analytics software to help.

Source: www.information-management.com

Erhardt acknowledged that right now, most customers "are not yet shopping around."

But the overall low rate environment is a good time to test the new analytics software while it’s still relatively quiet.

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Ex-Googler Shares His Big-Data Secrets With the Masses | WIRED

Google’s search engine makes it wonderfully easy to locate stuff on the web, whether it’s in a news article, a corporate website, or a video on YouTube. But that only begins to describe Google’s ability to find information. Inside the company, engineers use several uniquely powerful tools for searching and analyzing its own massive trove…

Source: www.wired.com

There are a few other Dremel clones out there already, such as Cloudera’s Impala and MapR’s Drill. But these other projects are more concerned with collecting data, says Madsen, while Quest is focused on manipulating data. “Data in its raw form isn’t that useful,” he says. “You have to do things to it. You have to shape, and discard the stuff you don’t need.”

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​The creepy side of data mining: Selling “sick” lists

Thanks to social media and phone apps, health marketers may have your name on the disabled list

Source: www.cbsnews.com

No federal law provides consumers with the right to correct inaccuracies in the data or assumptions made by data brokers on their own profiles

See on Scoop.itData Nerd’s Corner

Using Data Science Techniques for the Automatic Clustering of IT Alerts | Pivotal P.O.V.

Source: blog.pivotal.io

Insights such as these are useful for setting up alert review policies and can help automate response prioritization. Operationalizing the categorization of alerts enables their automatic routing to the right support person. In addition, root cause analysis and failure prediction use cases can also benefit from signals from these alert clusters.

While broad class labels of alerts may be available, often they are too general to be useful. So how can we use data science to achieve finer categorization of alerts?

Semi-structured text alerts are generated by IT infrastructure components such as storage devices, network devices, servers, etc. For the client-facing data science engagement I detail in this post, we leveraged only the textual information. To cluster the text data, the following steps were performed:

See on Scoop.itData Nerd’s Corner

It’s all about the data: Soon you won’t need a wristband to use Jawbone’s apps

Jawbone is opening up its app to the users of other fitness trackers. This is exactly what needs to happen for the internet of things to develop.

Source: gigaom.com

The arrival of Apple’s wearable isn’t the only potentially game-changing development coming out of Apple’s big product launch for companies such as Jawbone. HealthKit, Apple’s platform for health and fitness data, is about to arrive. It’ll make it easier for Jawbone and others to get fitness information in and out of their own systems, and will presumably allow them to connect with the data which Apple’s own device collects. If HealthKit catches on, the whole idea of a piece of fitness hardware being tied to one device might start to feel obsolete

See on Scoop.itData Nerd’s Corner

It’s all about the data: Soon you won’t need a wristband to use Jawbone’s apps

analyticalsolution:

The arrival of Apple’s wearable isn’t the only potentially game-changing development coming out of Apple’s big product launch for companies such as Jawbone. HealthKit, Apple’s platform for health and fitness data, is about to arrive. It’ll make it easier for Jawbone and others to get fitness information in and out of their own systems, and will presumably allow them to connect with the data which Apple’s own device collects. If HealthKit catches on, the whole idea of a piece of fitness hardware being tied to one device might start to feel obsolete

Originally posted on Gigaom:

Jawbone, the maker of bluetooth headsets, speakers and a series of fitness trackers, including the impressive Jawbone Up, will soon allow folks without the physical Jawbone devices to use the Jawbone app. That means if you have a Fitbit (see disclosure), a smartphone like the iPhone 5s or even the future Apple Watch, you can send your data to Jawbone and get the benefits of the Jawbone integrations and coaching.

From the Jawbone blog post:

[blockquote person="" attribution=""]Later this month we are launching a new UP app that allows anyone with a compatible smartphone, Android Wear device, Pebble smartwatch, or any wearable connected to the Health app for iOS 8 – such as the Apple Watch – to instantly join the UP community. In addition to making UP more widely available, we will also release an open device-connectivity framework for the new app, enabling device manufacturers to build products…

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New Surveys On Big Data, Big Decisions, Analysis, And Intuition

Two new reports on big data and big decisions were released today by Accenture and PwC. Both reports shed new light on the impact of big data on enterprises today, and how it is changing the process of decision making by senior executives.

Source: www.forbes.com

Executives see tangible business outcomes from big data in finding new sources of revenue (56%), enhancing the customer experience (51%), new product and service development (50%), and winning and keeping customers (47%).

See on Scoop.itData Nerd’s Corner

Be a data scientist for the love of the craft not the perks

Data science is a hot field, but it’s not a good career choice for everyone. Find out what makes a good data scientist.

Source: www.techrepublic.com

As a leader or a manager, it’s important to hire the right people for the data scientist position. Some people may already have a sense they’re not right for data science, and others may have a false sense of optimism. Either way, it’s your responsibility to protect your organization and your interviewee from an improper fit. During the interview process, look for several things.

 

First, ask them about their hobbies and interests. There’s nothing wrong with a potential data scientist who loves to skydive or play in a rock band. However, you should be able to draw the connection between data science and their lifestyle outside the workplace. For instance, I love gambling — not just on horses, but all kinds of gambling. When I’m not helping clients, you might find me on a craps table in Vegas or in a smoky room playing poker. When I’m not analyzing corporate data, I’m analyzing odds at a casino. It’s easy to understand why I’m good at data science.

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