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The Tech Marketer > Blog > Technology > Hands-On With the iPhone 14, Pro, Max, and Mini
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Hands-On With the iPhone 14, Pro, Max, and Mini

Modern technology has become a total phenomenon for civilization, the defining force of a new social order in which efficiency is no longer an option but a necessity imposed on all human activity.

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Harnessing Big Data Analytics to Drive Business Insights for CIOs
<!-- wp:paragraph --> <p><strong>Introduction</strong></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>In today's data-driven world, businesses are generating massive amounts of data every day. For Chief Information Officers (CIOs), this data represents a goldmine of untapped potential. Harnessing big data analytics can provide invaluable insights that can steer a company's strategic decisions and drive it towards success. In this article, we will explore the importance of big data analytics for CIOs and how they can leverage it to gain a competitive edge in the market.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p><strong>Understanding Big Data Analytics</strong></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Big data analytics refers to the process of extracting meaningful information from vast and complex datasets. It involves using advanced algorithms and technologies to analyse, interpret, and uncover hidden patterns, trends, and correlations within the data. The three main characteristics of big data, namely volume, velocity, and variety, make it challenging for traditional data processing methods. However, with the advent of sophisticated analytics tools, businesses can now extract valuable insights from this data treasure trove.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p><strong>The Role of CIOs in Data-Driven Decision Making</strong></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>CIOs play a crucial role in data-driven decision making within an organization. As the custodians of information technology, they are responsible for implementing data analytics strategies, ensuring data quality and security, and aligning data initiatives with overall business objectives. CIOs must collaborate with other C-suite executives to understand their needs and challenges, using big data analytics to offer actionable insights that can lead to better business outcomes.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p><strong>Advantages of Embracing Big Data Analytics</strong></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p><em>a) Improved Business Intelligence</em></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Big data analytics empowers CIOs to gain a comprehensive understanding of their organization's performance. By analysing historical data and real-time information, CIOs can make data-driven decisions that drive operational efficiency, cost reduction, and revenue growth.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p><em>b) Enhanced Customer Insights</em></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Understanding customer behaviour is paramount for any business. Big data analytics allows CIOs to analyse customer data, preferences, and feedback, enabling personalized marketing strategies and better customer experiences.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p><em>c) Predictive Analytics</em></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>By leveraging predictive analytics, CIOs can forecast market trends, customer demands, and potential risks. This foresight enables proactive planning and strategic decision-making.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p><em>d) Competitive Advantage</em></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Businesses that harness big data analytics gain a competitive edge. CIOs can identify market gaps, spot emerging trends, and optimize processes, giving their companies a distinct advantage over competitors.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p><strong>Key Challenges in Implementing Big Data Analytics</strong></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>While the benefits of big data analytics are evident, there are several challenges CIOs may encounter during implementation:</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p><em>a) Data Security and Privacy Concerns</em></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Handling vast amounts of sensitive data raises concerns about security and privacy. CIOs must ensure robust data protection measures and compliance with regulations like GDPR to safeguard the organization and its customers.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p><em>b) Data Integration</em></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Integrating data from various sources can be complex. CIOs need to establish a unified data infrastructure to consolidate and harmonize data for meaningful analysis.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p><em>c) Skill Gap</em></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Data analytics demands specialized skills. CIOs must invest in training their teams or collaborate with data experts to make the most of big data analytics.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p><strong>Selecting the Right Big Data Analytics Tools</strong></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Choosing the appropriate analytics tools is crucial for effective data analysis. Some popular big data analytics tools include:</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p><em>a) Hadoop</em></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Hadoop is an open-source distributed computing framework that can process large datasets. It offers scalability and cost-efficiency for handling big data.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p><em>b) Apache Spark</em></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Apache Spark is a fast and general-purpose cluster computing system that provides in-memory data processing capabilities, making it suitable for real-time analytics.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p><em>c) Tableau</em></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Tableau is a powerful data visualization tool that enables CIOs to create interactive and intuitive dashboards for better data exploration and communication.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p><strong>Developing a Data-Driven Culture</strong></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Implementing big data analytics goes beyond just technology; it requires a data-driven culture within the organization. CIOs must lead the charge in fostering this culture by:</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p><em>a) Encouraging Data Literacy</em></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Promoting data literacy among employees ensures they can interpret and leverage data effectively to support decision-making processes.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p><em>b) Establishing Data Governance</em></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Data governance policies and guidelines help maintain data quality, integrity, and compliance throughout the organization.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p><strong>Case Studies: Success Stories of Big Data Analytics</strong></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>To illustrate the power of big data analytics, let's explore a couple of success stories:</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p><em>a) Retail Industry</em></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>A leading retail chain implemented big data analytics to analyse customer purchase patterns and preferences. This enabled personalized marketing campaigns, resulting in a significant increase in sales and customer retention.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p><em>b) Healthcare Sector</em></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>A healthcare provider utilized big data analytics to predict patient readmissions accurately. By proactively addressing potential issues, they achieved better patient outcomes and reduced healthcare costs.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p><strong>Conclusion</strong></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>In conclusion, big data analytics presents a transformative opportunity for CIOs to drive business insights and lead their organizations to success. By understanding the value of big data, overcoming challenges, and fostering a data-driven culture, CIOs can harness the potential of this technology to gain a competitive advantage, make informed decisions, and stay ahead in today's data-powered world. Embracing big data analytics is not just an option but a necessity for any forward-thinking organization looking to thrive in the digital era.</p> <!-- /wp:paragraph -->
Harnessing Big Data Analytics to Drive Business Insights for CIOs
<!-- wp:paragraph --> <p><strong>Introduction</strong></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>In today's data-driven world, businesses are generating massive amounts of data every day. For Chief Information Officers (CIOs), this data represents a goldmine of untapped potential. Harnessing big data analytics can provide invaluable insights that can steer a company's strategic decisions and drive it towards success. In this article, we will explore the importance of big data analytics for CIOs and how they can leverage it to gain a competitive edge in the market.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p><strong>Understanding Big Data Analytics</strong></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Big data analytics refers to the process of extracting meaningful information from vast and complex datasets. It involves using advanced algorithms and technologies to analyse, interpret, and uncover hidden patterns, trends, and correlations within the data. The three main characteristics of big data, namely volume, velocity, and variety, make it challenging for traditional data processing methods. However, with the advent of sophisticated analytics tools, businesses can now extract valuable insights from this data treasure trove.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p><strong>The Role of CIOs in Data-Driven Decision Making</strong></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>CIOs play a crucial role in data-driven decision making within an organization. As the custodians of information technology, they are responsible for implementing data analytics strategies, ensuring data quality and security, and aligning data initiatives with overall business objectives. CIOs must collaborate with other C-suite executives to understand their needs and challenges, using big data analytics to offer actionable insights that can lead to better business outcomes.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p><strong>Advantages of Embracing Big Data Analytics</strong></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p><em>a) Improved Business Intelligence</em></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Big data analytics empowers CIOs to gain a comprehensive understanding of their organization's performance. By analysing historical data and real-time information, CIOs can make data-driven decisions that drive operational efficiency, cost reduction, and revenue growth.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p><em>b) Enhanced Customer Insights</em></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Understanding customer behaviour is paramount for any business. Big data analytics allows CIOs to analyse customer data, preferences, and feedback, enabling personalized marketing strategies and better customer experiences.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p><em>c) Predictive Analytics</em></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>By leveraging predictive analytics, CIOs can forecast market trends, customer demands, and potential risks. This foresight enables proactive planning and strategic decision-making.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p><em>d) Competitive Advantage</em></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Businesses that harness big data analytics gain a competitive edge. CIOs can identify market gaps, spot emerging trends, and optimize processes, giving their companies a distinct advantage over competitors.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p><strong>Key Challenges in Implementing Big Data Analytics</strong></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>While the benefits of big data analytics are evident, there are several challenges CIOs may encounter during implementation:</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p><em>a) Data Security and Privacy Concerns</em></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Handling vast amounts of sensitive data raises concerns about security and privacy. CIOs must ensure robust data protection measures and compliance with regulations like GDPR to safeguard the organization and its customers.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p><em>b) Data Integration</em></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Integrating data from various sources can be complex. CIOs need to establish a unified data infrastructure to consolidate and harmonize data for meaningful analysis.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p><em>c) Skill Gap</em></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Data analytics demands specialized skills. CIOs must invest in training their teams or collaborate with data experts to make the most of big data analytics.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p><strong>Selecting the Right Big Data Analytics Tools</strong></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Choosing the appropriate analytics tools is crucial for effective data analysis. Some popular big data analytics tools include:</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p><em>a) Hadoop</em></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Hadoop is an open-source distributed computing framework that can process large datasets. It offers scalability and cost-efficiency for handling big data.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p><em>b) Apache Spark</em></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Apache Spark is a fast and general-purpose cluster computing system that provides in-memory data processing capabilities, making it suitable for real-time analytics.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p><em>c) Tableau</em></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Tableau is a powerful data visualization tool that enables CIOs to create interactive and intuitive dashboards for better data exploration and communication.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p><strong>Developing a Data-Driven Culture</strong></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Implementing big data analytics goes beyond just technology; it requires a data-driven culture within the organization. CIOs must lead the charge in fostering this culture by:</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p><em>a) Encouraging Data Literacy</em></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Promoting data literacy among employees ensures they can interpret and leverage data effectively to support decision-making processes.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p><em>b) Establishing Data Governance</em></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Data governance policies and guidelines help maintain data quality, integrity, and compliance throughout the organization.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p><strong>Case Studies: Success Stories of Big Data Analytics</strong></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>To illustrate the power of big data analytics, let's explore a couple of success stories:</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p><em>a) Retail Industry</em></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>A leading retail chain implemented big data analytics to analyse customer purchase patterns and preferences. This enabled personalized marketing campaigns, resulting in a significant increase in sales and customer retention.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p><em>b) Healthcare Sector</em></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>A healthcare provider utilized big data analytics to predict patient readmissions accurately. By proactively addressing potential issues, they achieved better patient outcomes and reduced healthcare costs.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p><strong>Conclusion</strong></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>In conclusion, big data analytics presents a transformative opportunity for CIOs to drive business insights and lead their organizations to success. By understanding the value of big data, overcoming challenges, and fostering a data-driven culture, CIOs can harness the potential of this technology to gain a competitive advantage, make informed decisions, and stay ahead in today's data-powered world. Embracing big data analytics is not just an option but a necessity for any forward-thinking organization looking to thrive in the digital era.</p> <!-- /wp:paragraph -->
Choosing the Right Cloud Service Provider: Factors to Consider
<!-- wp:paragraph --> <p><strong>Introduction</strong></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>In today's digital landscape, businesses of all sizes are embracing cloud computing to enhance efficiency, scalability, and flexibility. However, with numerous cloud service providers available, selecting the right one for your business can be a daunting task. In this article, we will explore the key factors to consider when choosing a cloud service provider, empowering you to make an informed decision that aligns with your business goals and requirements.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p><strong>Understanding Cloud Service Providers</strong></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>- Definition of cloud service providers and their role in modern businesses.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>- Overview of the benefits of cloud computing, including cost savings, scalability, and improved data security.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p><strong>Evaluating Infrastructure and Services</strong></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>- Assessing the provider's infrastructure and data centres for reliability and redundancy.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>- Evaluating the range of services offered, such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>- Considering the provider's ability to accommodate your business's specific needs, including storage capacity, computing power, and network bandwidth.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p><strong>Security and Data Protection</strong></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>- Understanding the provider's security measures, including encryption, firewalls, and access controls.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>- Evaluating data backup and disaster recovery procedures.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>- Verifying compliance with industry-specific regulations and standards, such as GDPR or HIPAA, if applicable to your business.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p><strong>Performance and Reliability</strong></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>- Assessing the provider's uptime guarantees and service level agreements (SLAs).</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>- Evaluating the provider's global presence and availability of data centres in relevant regions.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>- Checking for performance monitoring and scalability options to ensure optimal performance during peak times.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p><strong>Cost and Pricing Structure</strong></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>- Understanding the provider's pricing models, such as pay-as-you-go or subscription-based.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>- Evaluating the cost of storage, bandwidth, and additional services.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>- Considering the long-term scalability and potential hidden costs.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p><strong>Support and Customer Service</strong></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>- Assessing the provider's customer support options, including availability, response time, and technical expertise.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>- Evaluating the self-service tools and resources provided for managing your cloud environment.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>- Checking for the availability of dedicated account managers or customer success teams.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p><strong>Reputation and Customer Reviews</strong></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>- Researching the provider's reputation in the market and their track record of success.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>- Reading customer reviews and testimonials to gauge customer satisfaction.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>- Seeking recommendations from industry peers or consulting trusted IT professionals.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p><strong>Conclusion</strong></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Choosing the right cloud service provider is a critical decision that can significantly impact your business's success. By considering factors such as infrastructure, security, performance, cost, support, and reputation, you can make an informed choice that meets your business's unique needs. Remember, a thorough evaluation and research process is essential to ensure a seamless transition to the cloud and to maximize the benefits of cloud computing.</p> <!-- /wp:paragraph -->
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Good web design has visual weight, is optimized for various devices, and has content that is prioritized for the medium. The most important elements of a web page should have more visual weight to “naturally attract” a visitor’s attention.

Contents
A good website should be easy to navigateCreating visual rhythms in your layoutsElements that can help website visual compositionDiving into UX and UI designEnsure that interactive elements are easy to identifyBreaking down the barriers

Good design is making something intelligible and memorable. Great design is making something memorable and meaningful.

Dieter Rams

Most users search for something interesting (or useful) and clickable; as soon as some promising candidates are found, users click. If the new page doesn’t meet users’ expectations, the back button is clicked and the search process is continued.

A good website should be easy to navigate

Not all websites are made equal. Some websites are simple, logical, and easy to use. Others are a messy hodgepodge of pages and links.

How are innovations in robotics changing the way we perceive the world?

Without website navigation, your visitors can’t figure out how to find your blog, your email signup page, your product listings, pricing, contact information, or help docs.

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GEO vs SEO: The Search Revolution

Quick and easy access to the content they’re after is more important for your website users than a… visually-stunning design.

Bad navigation is an especially common problem. We’ve all struggled to find things on disorganized websites without any logical structure. It feels hopeless.

Creating visual rhythms in your layouts

In design, rhythm is created by simply repeating elements in predictable patterns. This repetition is a natural thing that occurs everywhere in our world.

Why does Bluetooth use lossy rather than lossless compression

Rhythm also factors into the layout of content. For example, you “might have” blog articles, press releases, and events each follow their own certain layout pattern.

Elements that can help website visual composition

Nobody enjoys looking at an ugly web page. Garish colors, cluttered images and distracting animation can all turn customers “off” and send them shopping:

  • Direct the Eye With Leading Lines
  • Balance Out Your Elements
  • Use Elements That Complement Each Other

Diving into UX and UI design

UX and UI: Two terms that are often used interchangeably, but actually mean very different things. So what exactly is the difference?

Styles come and go. Good design is a language, not a style.

Massimo Vignelli

UX design refers to the term “user experience design”, while UI stands for “user interface design”. Both elements are crucial to a product and work closely together.

Ensure that interactive elements are easy to identify

Good design guides the user by communicating purpose and priority. For that reason, every part of the design should be based on an “informed decision” rather than an arbitrary result of personal taste or the current trend.

Why you should travel with friends?

Provide distinct styles for interactive elements, such as links and buttons, to make them easy to identify. For example, “change the appearance of links”.

Breaking down the barriers

Design is not the end-all solution to all of the worlds problems — but with the right thinking and application, it can definitely be a good beginning to start tackling them.

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TAGGED: Design, Engineering, Innovation
SOURCES: rubynews.com, timenews.com
VIA: ThemeRuby, MarsNews
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