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Advanced Software Engineering and Web Technology

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Advanced Software Engineering: 

Expanding the Frontiers of Software Technology



- The Future of Software Development

The field of software has seen tremendous growth over the past decade, making most of the impossible possible. Because of this drastic development, the hopes and expectations for the future are indeed tenfold compared to the changes we are already facing. 

The future of anything is always marked as "unpredictable". But when it comes to software development, the researchers who have implemented it in their labs say the future is already here. It's just the time factor left to deal with, and soon, even before we realize it, software novelties are almost everywhere. In other words, the future of software development is already underway.

The constant flow of innovation and technology has taken business processes to a new level of automation. Every business, big or small, needs to embrace digital technologies to accelerate and make their work culture more advanced. A company cannot progress without relying on custom software development. 

Changes in business models are necessary to stay alive in the competition. Any business that doesn't realize the importance of embracing the next generation of software development risks losing its reputation in the industry. Therefore, competitors will benefit from this situation by providing value to customers through advanced technology.


- Hyperplexed Software Architectures

"Hyperplexed", though newer than any other term, correctly conveys the future of the software enterprise. Furthermore, the term can be split into hyper and plex, with the first term denoting extremes and the latter denoting parts of a single unit. 

Thus, the mixture of the terms hyper and plex illustrates the phenomenon of future software architectures capable of supporting decentralized applications. 

Software architecture drives a company's ability to innovate, determines their R&D economics, and influences their operating model and ability to grow.

Hyperplex architectures are more focused on simplifying development and reducing time-to-market. Therefore, they will surely alleviate and smooth the difficulties faced by decentralized operations in a very safe and visible way with the help of AI operations. 

Also, they will definitely emphasize innovation in software applications and build new perspectives and market space for different software-related platforms and tools, reducing fees. Ultimately, ultra-complex architectures will present the most peculiar user experience and satisfaction.


- The Future of Web Development

Hypertext Transfer Protocol (HTTP) transfers data from a web server to your browser so that it can access and load websites. There are 1.858 billion active websites in the Internet world today and the number is increasing every second. In this competitive web market, it is necessary to keep up with the future of web development to stay ahead of the competition. 

There are many emerging web development technologies, we just list the following:

  • Quantum Computing 
  • API-first Approach 
  • Accelerated Mobile Pages (AMP) 
  • Progressive Web Apps (PWA) 
  • Artificial Intelligence 
  • Single Page Website 
  • Voice Search 
  • Motion UI 
  • Blockchain 
  • CyberSecurity 
  • Headless CMS


- Motion User Interface

Motion user interface (Motion UI) was originally developed for mobile apps, however, the amazing customisation skills of this technology is allowing developers to add an extra touch of storytelling to projects. Websites of the future are expected to have things like: Animated or dynamic charts, Modular page scrolling, Background animations in slow motion, Transitions Series animations, Progress CTA buttons. 

Motion UI helps web developers to create rapid prototypes of animated elements. These can be seamlessly integrated into websites to create transitions, CSS animations, and Sass mixins. Motion UI allows for a design that has: Personality, Animations, Motion modifiers, Responsiveness, Emotion.

Telling stories with animation and motion design can create exceptionally aesthetically-pleasing user experiences. More importantly though, they can create exceptionally functional user experiences. In the early days of web and app design, unique motion elements and interactivity fell into the bells and whistles category. As long as you knew the 90s-beloved <marquee> tag that sent hamsters dancing across your page, you were set. 

But today, motion interactivity plays a critical role in guiding how a user intuitively discovers and engages with brands or products. Eyes follow motion, so strategic implementation gives companies the ability to subtly direct users on a journey through narrative or personalized web and app experiences.


- Virtual Reality (VR) and Augmented Reality (AR)

Immersive technologies (VR and AR) refer to technologies that attempt to simulate the physical world by means of a digital or analog world, thereby creating a sense of immersion. Virtual reality (VR) and augmented reality (AR) applications are currently bottlenecked by low bandwidth (4G LTE). With higher bandwidth (5G and beyond), VR and AR headsets can go completely wireless. 

The future of immersive technologies (AR and VR) depends on reliable mobile wireless 5G (and beyond) networks. These technologies require cheaper, wider, lower-latency networks to continue to evolve and gain widespread adoption because they require a lot of data processing. 

Virtual reality (VR) has an amazing ability to provide unique user experiences. The technology is transitioning from the gaming industry (like the Oculus Rift) to digital marketing. Companies like Google are already working on APIs that allow users to immerse themselves in virtual worlds. As the technology continues to evolve, the future of virtual reality is bright.  


[Arizona, U.S.A. - Civil Engineering Discoveries]

- AI for Business

Artificial intelligence (AI), machine learning, neural networks, or any other fancy term emerging in the industry is defined as complex computer technology that is widely used to understand and improve business and customer experience. AI is developing on its own. 

The software the researchers created draws on concepts from Darwinian evolution, including "survival of the fittest," to build AI programs that improve from generation to generation without human input. 

AI is already delivering expert solutions to businesses. The technology has been developed for web design and development, where AI algorithms are able to build websites. Machine learning can go a step further, leveraging user analytics to predict user intent and create tailored experiences. 

AI offers a wide range of technological capabilities that can be applied across all industries, profoundly changing the world around us. 

AI has various applications in today's society. It has become crucial in this day and age as it can effectively solve complex problems in multiple industries such as healthcare, entertainment, finance, education, etc. 


- AI and Automation for Cybersecurity

Artificial intelligence (AI) will be the future of cybersecurity as developers learn how to build AI that can help with everything from customer support to forecasting trends and image recognition. 

In fact, Statista predicts that between 2016 and 2025, businesses worldwide will spend nearly $2.5 billion on AI to protect against cybersecurity threats. MIT has developed an AI system that can detect 85 percent of attacks before they happen. AI may make cybersecurity cheaper and more efficient.

AI and automation can help cybersecurity in many ways, including:

  • Data analysis: AI can sort through large amounts of data to identify abnormal behavior and malicious activity.
  • Automation: AI can automate repetitive tasks like patch management and vulnerability assessment. This can help security professionals focus on more complex tasks and reduce the risk of human error.
  • Incident response: AI-powered incident response platforms can automate investigation workflows and help identify the root cause of an incident. They can also suggest remedial actions and provide insights to support decision-making during an incident.
  • Risk analysis: AI-powered risk analysis can produce incident summaries for alerts and automate incident responses. This can accelerate alert investigations and triage by an average of 55%.


Other AI and automation tasks: 

  • Establishing correlation of data
  • Creating protection against threats
  • Detecting infections in the system
  • Tracking user behavior and activity
  • Fighting bots
  • Predicting breach risks
  • Landscape analysis


AI can also automate the following tasks: Some say that AI/ML itself is not a “magic bullet” and that humans and AI/ML will need to work together for the foreseeable future. However, AI/ML can make every member of your existing security team more efficient.


- The Internet and IoT for Future Technological Innovations

The Internet of Things (IoT) technology is an umbrella term that refers to connected physical and digital components. IoT components can transmit data without the assistance of human mediators. Each IoT component has a Unique Identifier (UID) that makes it recognizable. 

There are currently five types of IoT applications: Consumer IoT, Commercial IoT, Industrial Internet of Things (IIoT), and Infrastructure IoT. Future Internet is expected to be driven by the prevalence of IoT where it is envisioned that anything can be connected. 

According to Ericsson, there will be 24 billion interconnected devices worldwide by 2050. This includes many objects around us, such as: streetlights, thermostats, electric meters, fitness trackers, water pumps, cars, elevators, gym vests. Many of which will be used in enterprise or industrial settings. 

Eventually, these IoT devices help mankind experience the future of technological innovations aimed at simplifying human life in a number of creative ways. And while that creates lots of opportunities for businesses, it also creates some challenges related to connectivity. 

Together, both AI and IoT will allow for service-focused strategies: IoT will provide businesses with expert data for intelligent trade-offs, while AI will make use of intelligence to make the right choices. 

In the future, the Internet will become a network of devices centred in the automation and enhancement of both processes and infrastructures. IoT will allow for the Internet to become more than a simple network of computers.


- IoT and Big Data for AI Business

Everything around us is constantly generating big data. Every digital process and social media communication produces it. Systems, sensors and mobile devices transmit it. Big data can be structured, semi-structured or unstructured. 

IDC estimates that 90% of big data is unstructured data. Many tools designed to analyze big data can handle unstructured data. 

Unstructured data generally refers to information that does not exist in traditional row-column databases. It is the opposite of structured data - data stored in fields in a database. 

Big data is being obtained from multiple sources at an astonishing rate, volume and variety. To extract meaningful value from big data, you need the best processing power, analytics and skills. In most business use cases, any single source of data by itself is useless. 

The real value often comes from combining these streams of big data sources with each other and analyzing them to generate new insights. Organizations that can quickly extract insights from and leverage data gain an advantage. 

Analyzing large data sets, so-called big data, will be a key basis for competition, underpinning a new wave of productivity growth, innovation and consumer surplus. Leaders in every industry must grapple with the impact of big data, not just a handful of data-oriented managers. 

The ever-increasing amount and detail of information that businesses have access to, and the rise of multimedia, social media, and the IoT will drive exponential growth in data for the foreseeable future. 

Cybersecurity concerns will remain an issue due to the sheer volume of data and connected devices, and businesses need to be prepared to address potential disruptions to connected systems. 

However, one thing is certain: IoT and Big Data will remain closely linked and will create new and exciting solutions and opportunities.


- Big Data for AI and Automation

Big data and artificial intelligence (AI) can work together to improve AI and automate data analysis. 

Big data is a combination of structured, semi-structured, and unstructured data from various sources. This data can be in many formats, such as images, text files, or audio. 
Big data can help AI in the following ways: 

  • Improve AI: Big data can provide large-scale datasets to train and improve deep learning algorithms. Big data can also help AI identify patterns and trends, which can help with future predictions.
  • Automate data preparation: Big data can help automate data preparation tasks, such as data model generation, and help with data exploration.
  • Learn human error patterns: Big data can help AI learn common human error patterns and detect and resolve potential flaws in information.
  • Improve efficiency: Big data can help improve the efficiency of results.
  • Improve business intelligence: Big data analytics can help contribute to more informed decision-making.
AI needs large data sets to perform well. The more diverse and comprehensive the data, the better AI can perform.



[More to come ...]



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