October 04, 2015

How Is Knowing the Business Important to Data Science?

Many Data Scientists forget the essential step of learning about the business from the business's perspective. Since the business is the customer of the Data Scientist, this can be easily boiled down to “What does the customer truly want to accomplish?” This simple but straightforward question may seem frivolous to an inexperienced Data Scientist, but getting at what the business objectives are for any Data Science project will create a necessary roadmap for moving forward. The fact of the matter is that most businesses have many competing objectives and constraints that have to be properly balanced in order to be successful on a day-to-day basis. As the Data Scientist, one of your primary aims in ensuring a successful Data Science project is uncovering important, possibly derailing factors that can impact outcomes.

The Best Android Wear Watch

Choosing the right Android Wear smartwatch remains a very personal decision. Given that the functionality of Android Wear is mostly consistent across devices you don’t necessarily lose any core experience from one watch to the other. If one simply looks gorgeous to you, chances are you’ll be happier with it in the long run. Below are detailed all the smartwatches running Android Wear available to buy right now. ... While a lot of the Android Wear watches are dust proof and can survive submerged in about 1M of water, the ZenWatch is little more susceptible to dust and cannot be submerged. ASUS’s time in the Android market has been slightly overshadowed by other, more established mobile-phone manufacturers, such as Samsung,

A CIO's guide to enterprise cloud migration

A poorly planned and implemented migration, however, can put a serious dent in the cloud business case. With that in mind, CIOs need to address a number of questions to ensure a smooth migration: Which enterprise cloud migration strategy is right for your organization, if any?; Which applications are suitable for the cloud and which aren't?; Do you have the appropriate tools to aid in migration efforts and cut back on expensive manual tasks?; and What types of computing workloads will work best in which specific types of clouds? In this CIO Essential Guide, we'll address these questions by exploring the intricacies of cloud migration and suggesting best practices for getting the job done.

Data Integrity - A Sequence of Words Lost in the World of Big Data

Data Integrity should, in my opinion, be enforced at the source to the greatest extent possible, to avoid unnecessary work at the end. I hate to bring it up in this day of Hadoop, but Relational Database Management Systems (RDBMS) still have their place in the world of data management. As stated earlier, there is no question about it, Big Data that satisfies the definition of at least the three V's listed above, requires a new approaches, e.g., Hadoop. However, if your data is not that big, consider more traditional means of managing your data to still obtain cutting edge advantages, like predictive analysis. Analysis of good data is worth a ton of analysis on bad data. Even in a Big Data environment, there are principles that, when enforced, will ensure the quality of the data, and enhance its value.

The workforce of the future will live in the cloud

The design of the workplace needs to put employees first, ensuring they have the necessary tools to work efficiently. According to a study by Cushman & Wakefield’s Global Business Consulting, the older generations of employeesadapt to the workplace, but millennials expect the workplace to be adapted to their preferences. By utilising cloud technologies, offices can adopt an open concept where employees may not necessarily be assigned to a fixed workstation, especially in organizations where employees have to travel between multiple offices frequently. The practice of ‘hot desking’, a concept where employees sit at any free desk or work from remote locations, has gained traction in a number of multi-national corporations today.

The Blockchain Might Be The Next Disruptive Technology

But to go ahead, the blockchain technology needs to fix a few issues. Starting with the network capacity. As we saw earlier, a block is added to the ledger every 10 minutes. Due to the limited size of a block (1MB), the network is restricted to processing 7 transactions per second (tps). This is way far from what VISA can handle, with up to 56,000 tps. A debate around the block size appeared a few weeks ago and a fork happened in the blockchain: A few miners started increasing block size to 8MB. And this sized is scheduled to double every two years. To solve this debate, if the Bitcoin XT reaches 75 percent of the network, the network will entirely switch to the new block size.

Brain Networking

By applying control theory equations to the wiring diagrams generated from brain scans, the researchers showed that the geographical and functional differences between regions of the brain are linked. While the analysis cannot say whether the frontal cortex’s location or its role evolved first, it suggests that part of the frontal cortex’s ability to control executive function depends on its distance from other parts of the brain network.  “This study heralds a new wave of network science, grounded in rigorous control theory,” said co-author Grafton, director of UCSB’s Brain Imaging Center. “When applied to state-of-the-art brain imaging data we begin to see some of the design tradeoffs inherent in the architecture of brain connections.”

Modeling Enterprise Risk Management and Security with the ArchiMate® Language

The importance of Enterprise Risk Management (ERM) and security rises with the progress of globalization and growth of the Internet. An increasing number of organizations interact with consumers and trading partners around the world, and are therefore exposed to an increasing variety of risks. In this context, organizations need to understand the variables that affect their operations, so describing, classifying, managing, and mitigating risk factors is very important. Enterprise Architects must help organizations manage risk through architectures that help avoid, transfer, mitigate, or accept adverse risks. Risk and security models help organizations develop guidance and take action to embrace opportunity and manage risk.

How Enterprise Cloud and Virtual Networking are Changing the Telco Market

As far as telcos are concerned, SDN is an enabling technology, not a revenue-generating product in itself. It is a new way to architect their networks that enables them to manage infrastructure and deliver services in new ways. “What’s more interesting is NFV and virtualization of services,” Chander said. NFV is a blueprint for defining those services, things like VPN, WAN, intrusion detection, firewall, and so on. It is virtualizing functions that used to be performed by physical boxes. They become software defined, but they are actual revenue-generating services. AT&T and Japan’s NTT Communications are examples of service providers that use SDN technologies in the most advanced ways.

Enterprise Architecture: Just Breathe and Find the Time to Plan

Just breathe. Besides being one of my favorite Pearl Jam songs, that is my advice when you are feeling the pressures of this brave new digital world. Just breathe – and start planning. That old adage “failing to plan is planning to fail” has never rung so true. With the category in its report, The Forrester Wave™: Enterprise Architecture Management Suites, Q3, 2015, we believe that Forrester is confirming that using EA to plan and manage business and IT transformation is essential for digital success. Today, IT is being called upon to move mountains and move them quickly. So just when it seems there is no time to sit down and plan ahead, that is the time when it is most important to keep calm.

Quote for the day:

"Leadership is a process of influencing the probability of achieving a desired change through human relationships." -- P Semark

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