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Watson Analytics: The Data Scientist Accelerator

September 19, 2014 by Lillian Pierson

Watson analytics.

On Tuesday, September 16, at Times Square New York, IBM announced the forthcoming release of its Watson Analytics platform. This freemium SAAS offering is positioned to be a *true* game-changer in the fields of big data analytics, business intelligence, and data science.[read more]

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The Demise of the Data Scientist: Heresy or Fact?

September 18, 2014 by Richard Boire

Data scientist. 

One article from an IT leader of a well-respected U.S. organization hypothesized that data scientists will in the future become like switchboard operators:obsolete. The primary reason for this declining demand according to the author was that increased automation and operationalization of business processes will not require the technical skills of the data scientist.[read more]

Big Data Proves Mobile Is Where Your Audience Is: Where Are You?

September 18, 2014 by Tracey Wallace

Mobile phone.

In 2012, Americans spend just 6% of their media diet with print, but that those pages attract 23% of all ad spend. Mobile, on the other hand, took up 12% of the typical American’s media diet, yet only pulled in 3% of all ad spend. That left a whooping $20B opportunity in mobile advertising revenue alone.[read more]

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The Societal Shift of Self Driving Cars

September 18, 2014 by Shawn Gordon

Self driving cars.

We are currently approaching a cross roads in transportation that we really haven’t seen since the transition from the horse drawn carriage to the internal combustion engine automobile. Namely, the self driving car. Google, quietly and with no fanfare, until announcing in August 2012 that they had logged over 300,000 miles of accident free autonomous driving.[read more]

How Do I Become a Data Scientist?

September 17, 2014 by Kunal Jain

Path of data scientist.

I started my career as an analyst without any knowledge about the tools I was going to work on – all I knew was how to create basic models in Excel. I had not heard about Pivot tables and didn’t know something like conditional formatting even existed in Excel![read more]

The Perfect Storm: Service Aggregation, Automation and Management

September 17, 2014 by Natalie Lehrer

Perfect storm.

By and large, customers are not ready to create truly integrated private or hybrid models of cloud computing and let me caveat that statement by saying, the largest Regional and Domestic APJC corporations. We would argue that for those who can transition through the quagmire that is end to end infrastructure virtualisation.[read more]

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5 Keys to Successfully Using Big Data

September 16, 2014 by Rick Delgado
1

Successfully using big data.

Simply going out to collect data can lead to a business gathering massive amounts of information with little purpose or direction. All companies interested in big data should have a clear goal in mind before collecting that data. With a goal to work toward, companies will know what kind of data they should be going after, helping them form a more defined big data strategy.[read more]

12 Data-Driven Cities Making the Internet of Things a Reality

September 16, 2014 by Tracey Wallace
2

Sondo, South Korea.

These top cities are putting data to real use. Some are only ideas, some are helping to rebuild what once was and some are just out for making history. All the same, each and every one of the cities on this list are out to save lives, change their current economies and architectures and truly make an impact on our world and our collective future.[read more]

Big Data and Ford's Faster Horses

September 15, 2014 by Arent van 't Spijker

Horse? Or horseless carriage?

In the late 19th century, a New York City planner put out a warning that by 1950 the city would be completely uninhabitable. The problem, as he saw it, was that at the current growth rates the city would not be able to sustain the growing number of horses.[read more]

What Does the Regression Model Indicate?

September 15, 2014 by Annie Pettit

The only thing that indicated anything is you. YOU looked at the data and the statistical output and interpreted it based on your limited or extensive skills, knowledge, and experience. If I were to review your data, My skills, knowledge, and experience might say that it indicates something completely different.[read more]

Using esProc to Compute the Online Time of Users [PART 2]

September 15, 2014 by Jim King

esProc. 

In last part we mentioned that the Operation Department of the Web Company brought about a new demand: adding new conditions to the way the online time are computed. As IT department was using esProc as the tool for computation, it's easy to handle such changes in requirements.[read more]

5 Technology Trends for the Financial Industry

September 14, 2014 by Kyle Cebull

Tech for finance.

Let’s face it: the financial industry isn’t exactly the most innovative in terms of embracing emerging technologies. Growing regulations and legacy systems have limited the industry to a certain extent and principals are hesitant to adopt new technologies because of the perceived unknown variables.[read more]

Top 5 Things Recruiters Should Ask Their Big Data

September 13, 2014 by Trips Reddy

Recruiters. 

The human capital of any company truly is one of its most valuable assets. But unlike the technological advances in marketing, customer support and sales, recruitment at most companies hasn't seen significant improvements that support analytics-driven, evidenced-based talent acquisition.[read more]

The Interplay of Software and Hardware with Business and Consumers

September 12, 2014 by Robert Kugel

Analytics.

“What’s next?” is the perennially insistent question in information technology. One common observation about the industry holds that cycles of innovation alternate between hardware and software. New types and forms of hardware enable innovations in software that utilize the power of that hardware.[read more]

US Postal Service Facing Cloud Compliance Issues

September 12, 2014 by Natalie Lehrer

US Postal Service.

Many analysts have wondered how a federal agency can be out of compliance when all federal cloud contractors must possess the FedRamp certifications that ensure a certain level of proficiency in cloud computing. The audit report basically asks the same question and it should be noted that the USPS explicitly requires all cloud.[read more]

Prepare to Be Amazed by Immersive Intelligence

September 12, 2014 by Bill Franks

Immersive intelligence.

The range of immersive visual worlds that can be created is limited only by the types of data that exist and how that data can be utilized. In other words, it is virtually limitless. There is no doubt that immersive intelligence is still an edgy idea that hasn’t been widely adopted. However, the technology is here to make it possible and I suspect we’ll start seeing more of it soon[read more]

Test Your Level of Expertise with SAS/R/Python

September 11, 2014 by Kunal Jain

Table to interpret scores. 

Currently R, SAS and Python are the three languages ruling the analytics industry. Expertise in at least one of the three language is a must to build a competitive profile. But mastering only one language might not make you a hot selling property.[read more]

Mining Bitcoins in the Cloud Catches On

September 11, 2014 by Natalie Lehrer

Bitcoin.

Garza recently shelled out over $1 million for the domain name BTC.com and GAW recently bought out ZenMiner for $8 million in order to expand his this growing Bitcoin cloud mining endeavors. At current rates, Garza’s hashlet products are expected to give Bitcoin speculators a return on their investment within 2 months.[read more]

Does Your Research Company Look Like a Scam?

September 11, 2014 by Annie Pettit

Spam.

There are hundreds, possibly thousands, of companies out there looking for people to answer surveys. Some of these companies are legitimate marketing research companies that truly want to hear opinions from people. Other companies are less than upfront and may be more interested in marketing to people or selling products.[read more]

5 Levels of Big Data Maturity in an Organization [INFOGRAPHIC]

September 10, 2014 by Mark van Rijmenam

Big data maturity.

Once the IT department is capable of working with Big Data technologies and the business understands what Big Data can do for the organisation, an organisation enters level 3 of the Big Data maturity index. Business adoption will result in more in-depth analysis of structured and unstructured data available within the company, resulting in more insights and better decision-making.[read more]

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Don’t Let Internal Obstructionists Derail Your S&OP Initiative

September 10, 2014 by Ray Major

Obstructionists.

I recently ran across an article by Tracy Parsons where she identified obstructionist within an organizations as people who are “Paid by the No.” I found that statement to be not only quite funny, but also quite accurate. We’ve all experienced them.[read more]

Analytics Fortify Resilient Midmarket Companies

September 10, 2014 by Julie Hunt

Midmarket companies.

Midsized companies are much more in touch with customers and their own employees. They are truly interested in nurturing both of these relationships because they know that the right employees foster distinctive and positive interactions with customers.[read more]