Category: Tech & Engineering 2928

  • Policy Analysis Project: Surfside Miami Condo Collapse

    The areas most affected by condo collapse in Florida are the Miami suburb. The recent surfside of the Champlain Towers South, located at 8777 Collins Avenue, supports the importance of preventing another deadly failure (Lu et al., 2021). The condominium complex tragedy calls for an adequate assessment of the overall conditions of buildings within Surfside…

  • Purple Cloud Final Integrated Case Study

    Summary of the Current Environment With the rapid advancement of innovative technologies, cybersecurity has become an integral part of peoples lives throughout the whole world. In fact, the practice of protecting systems, networks, and programs from information disclosure contributes to the improvement of business continuity management. At the same time, in case the data of…

  • Aspects of System Engineering

    Table of Contents Introduction Technical Risks Quality Improvement Tailoring Standards System Prototype Conclusion Reference List Introduction System engineering is generally required for the proper arrangement of the managed system and for professional risk management practices. Considering the fact, that the necessity to improve the entire performance of any system is required for the smoother decision…

  • Data Theft Issue Prevention Aspects

    At its core, theft of private, proprietary, and sensitive data is a transfer or storage of this information by an unauthorized party. In other words, the offenders steal the information from electronic devices, including computers, storage devices, and servers. It can be performed from the inside by the employees of the company or by an…

  • Cloud Storage and File Storage

    Cloud storage is a service framework that transmits and stores information on remote storage networks. It is maintained, controlled, backed up, and accessible to consumers over a network, which is typically the internet. It is delivered with just-in-time capability and expenses on request and eliminates the information storage network (Yamato, 2016). Cloud storage gives versatility,…

  • Recommendations for Advancing the Evie.ai Service

    Table of Contents Background Recommendation Basis for recommendation Next Steps This paper recommends that Evie expands its operations by including more professionals in its team to make Evie more practical and user-friendly while prioritizing artificial intelligence. Implementation will take place within 180 days (6 months) of approval. Improved productivity, reliability, and productivity will be realized…

  • The Concept of Technological Singularity

    Over time, the way people think and perceive the world is subjected to constant change. Since ancient Greece, various thinkers and philosophers have been trying to express their understanding of the world and society through different concepts based on the available means of studying them. In this context, modern human philosophy is greatly influenced by…

  • Active Directory Domains: Cloud Services

    In this part of the paper, Microsofts Active Directory, which is one of the latest approaches to managing networks, will be discussed. Despite being a challenging technology to install and manage, cloud services provide numerous advantages that make them highly popular among companies of any size (Bin Abid). Active Directory centralizes network monitoring and gives…

  • Data Mining: The Results and Accuracy

    Data mining is one of the most developing concepts contributing to sufficient data implementation within business activities. Advanced companies emerge with this strategy to efficiently analyze business-related information to strengthen their weaknesses and solidify their strengths (Mughal, 2018). However, as with any technological tool, data mining technologies can have errors or system mistakes. Moreover, without…

  • Overfitting: Data Augmentation, Feature Selection, and Ensemble Methods

    The machine learning process in data and analytics can be faced with an array of different challenges. Among them is overfitting, which is the result of loss of bias and an increase in variance (Provost and Fawcett, 2013). In other words, overfitting is a concept in data science, which occurs when a statistical model fits…