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Showing posts from October, 2017

Why is Artificial Intelligence important?

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The AI learning adventure explores intelligence and its connection to engineering and technology.  Using ideas about human intelligence and intelligence more broadly, engineers can create “artificial intelligence,”; that is, impart “human” intelligence into machines or technology (Classical AI) or design technology that can itself “create” intelligence (future AI).  In fact, understanding how the brain works—”reverse-engineering the brain”—and understanding how engineers design intelligent machines—machines that replicate human intelligence—is one of the “Grand Challenges of Engineering” as set forth by The National Academy of Engineering (NAE). The implications and benefits of understanding the brain are many.  In addition to advances in the treatment of brain injuries and diseases and advancements in communications technology and computer simulations, understanding the brain will allow the design of intelligent machines with even more signicant societal impacts.  Already, mac

Artificial Intelligence: Your Secret Weapon for Increasing Efficiency in Procurement

As artificial intelligence (AI) or machine learning based solutions are fast becoming mainstream in processes including security, predictive analytics, personalization of marketing messages, online searches, image recognition etc., businesses need to turn their attention to AI  to increase automation and efficiency in procurement. Artificial Intelligence (AI) based smart procurement is characterized by its ability to read patterns, learn continually, and trigger corrective actions for optimal performance. In today’s digital world, retaining competitive edge in the marketplace depends on an organization’s ability to process business transactions at higher volumes and velocity. AI-led  smart procurement solutions  are essential in situations where human intervention is unviable in terms of effort and optimal decision making. The self-correcting ability of AI brings responsiveness to procurement by eliminating slower, and often redundant, manual interventions. AI in procurement: Use

Grasp AI and Machine Learning to drive Digital Transformation in businesses

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In the digital age, it becomes important for companies to understand user behavior and needs to offer personalized services for better customer satisfaction. One key aspect is to leverage data assets and machine learning techniques to know more about consumers and products, which will help grow business, increase consumer satisfaction, and optimize operational cost. In Gartner’s Top 10 Strategic Technology Trends for 2017, artificial intelligence (AI) and machine learning promise to be the future. While machine learning provides the backbone of automated decision making, AI helps a company build user-friendly computerized interfaces to interact with the customers.  It  is the world’s leading research and advisory company. Based on the report, creating intelligent interactive systems that can learn and adapt will be the primary battleground through at least 2020. Organizations should leverage artificial intelligence and machine learning to address specific business scenarios

Who introduced DevOps ? Who is a DevOps Engineer? What are his skills and why one should hire them?

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DevOps has a great boom in the enterprises.Enterprises are demanding people with DevOps skills because Devops is giving good growth to their company.Organizations are using DevOps because they are giving enormous high functioning. Who created Devops? At the Agile 2008 conference, Andrew Shafer and  Patrick Debois  presented on "Agile Infrastructure". The term DevOps was popularized through a series of "devopsdays" starting in 2009 in Belgium. Who is DevOps Engineer? A  DevOps  engineer is an information technology (IT) professional who works with s oftware developers, system operators ( SysOps ) and other production IT staff to   oversee code releases . The role calls for someone who has the necessary  hard  and  soft skills  that are required to  overcome the traditional barriers between software development, testing and operations teams .    The DevOps Definition If a DevOps engineer is a specific individual, it is ty

What is "GitHub"? Why Teams should opt it?

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The “Git” in GitHub So, Git is a version control system, but what does that mean? When developers create something (an app, for example), they make constant changes to the code, releasing new versions up to and after the first official (non-beta) release.To understand GitHub, you must first have an understanding of Git. Git is an open-source version control system that was started by Linus Trovalds—the same person who created Linux. Git is similar to other version control systems— Subversion , CVS, and Mercurial to name a few. Version control systems keep these revisions straight, storing the modifications in a central repository. This allows developers to easily collaborate, as they can download a new version of the software, make changes, and upload the newest revision. Every developer can see these new changes, download them, and contribute. Similarly, people who have nothing to do with the development of a project can still download the files and use them. Most Linux

Waterfall vs Agile and Scrum Methodology

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What Is Agile? Agile software development is based on an incremental, iterative approach. Instead of in-depth planning at the beginning of the project, Agile methodologies are open to changing requirements over time and encourages constant feedback from the end users. Cross-functional teams work on iterations of a product over a period of time, and this work is organized into a backlog that is prioritized based on business or customer value. The goal of each iteration is to produce a working product. In Agile methodologies, leadership encourages teamwork, accountability, and face-to-face communication. Business stakeholders and developers must work together to align the product with customer needs and company goals.  Agile refers to any process that aligns with the concepts of the Agile Manifesto. In February 2001, 17 software developers met in Utah to discuss lightweight  development methods. They published the  Manifesto for Agile Software Development , which covered how th