Capstone research paper and Power Point Presentation for the Project: Handwriting Recognition. Python Language basics needed.

Department of Computer and Information Systems,

Christian Brothers University

Management and Information Systems

ECIS-635

Harichand Nair Ph.D.

CLOUD COMPUTING

The distribution of computing services, such as servers, storage, databases, communications, programming, analytics, and expertise, is referred to as cloud storage. Formats (PaaS), Transport systems (IaaS), and Business applications are the other three primary categories of cloud-based computing services (SaaS) (Gray, 2007).

Public clouds are cloud computing environments that are frequently built using IT infrastructure that is not the end users. Locational and ownership divisions are now irrelevant as a result. Never anymore must private clouds be sourced from those on IT architecture. Now that businesses are constructing private clouds in off-site, rented data centers operated by vendors, all standards governing location and management are irrelevant (Gray, 2007).

IaaS stands for a cloud service provider who uses an internet connection to handle your infrastructure, including the real servers, connectivity, virtualization, and data storage. The user effectively rents the hardware and has access via an API or dashboard. PaaS refers to an external cloud service provider providing and managing the infrastructure and a mobile application, but the user is in charge of the apps that run on top of this platform and the content such apps rely on (Gray, 2007).

A private cloud is a cloud infrastructure that is completely dedicated to one final consumer or group, typically running that behind the user's or company's firewall. Although not all multi clouds are mixed clouds, all hybrid systems are multiclouds. Hardware, systems, or applications that are managed by external companies and made accessible to users online are referred to as cloud computing. When numerous clouds are linked together by some kind of interaction or automation, they become hybridization platforms (Gray, 2007).

ENTERPRISE RESOURCE PLANNING SYSTEMS

Accountancy, sales, advertising, personnel management, manufacturing, sourcing, finances, product testing, production lines, customer engagement, and project management are just a few of the many modules that an ERP system might encompass. Early ERP systems were primarily concerned with giving industrial organizations the means to manage their operations. Your whole business, from sales and marketing to client interactions and finance, is managed by an ERP solution (Cornford, 1990).

With ERP, you can keep track of everything from payroll to purchasing, inventory to shipping. Business process management is an example of innovation, evolution, and change. ERP systems started to provide solutions for companies in a variety of areas, including retail, healthcare, and financial services, as they grew more extensive, and the industry developed. ERP programs available, in this piece we'll concentrate on the advantages of implementing ERP on the Salesforce platform (Cornford, 1990).

While many of the advantages are same for all users, Salesforce offers extra features and connectors that make it possible to further link corporate activities in ways that are not otherwise conceivable. increases productivity and accuracy Internal activities can be automated and integrated to reduce duplication and increase accuracy and efficiency. With integrated systems, departments may coordinate their efforts to deliver quicker and better outcomes (Cornford, 1990).

 The advantages of ERP are well known. However, it's simple to underestimate the positive effects ERP may have on businesses. Business ERP, conventional solutions carry out all the essential tasks associated with ERP systems. ERP for small enterprises system, small businesses may pick and choose the features that best suit their operations and needs (Cornford, 1990).

CYBER SECURITY

A range of security systems are needed to reduce business cyber risk as cyberattacks become more frequent and complex and organizational connections become even more complicated (Derrick, 2011).

Some of the different types of cyber security are Network security These attacks are intended to be recognized and prevented by network security systems. These systems includes access and information controls including Next-Generation Firewall (NGFW) application controls, Data Loss Prevention (DLP), Identity Access Management (IAM), Network Access Control (NAC) (Derrick, 2011).

A cloud security plan should incorporate cyber security tools, procedures, guidelines, and services to safeguard a company's overall cloud deployment. End point security The zero-trust security concept advises enclosing data wherever it may be in micro-segments. Using endpoint security with a mobile workforce is one method to do that.

By using data and network security controls, sophisticated threat prevention tools like anti-phishing and anti-ransomware, and endpoint security, businesses can protect end-user devices like PCs and laptops (Derrick, 2011).

Mobile security Because corporate data may be accessed on mobile devices like tablets and smartphones, organizations are at risk from phishing, malicious software, zero-day vulnerabilities, and IM (Instant Messaging) assaults. These assaults are stopped by mobile security, which also protects operational platforms and devices from tapping and baseband firmware (Derrick, 2011).

ARTIFICIAL INTELLIGENCE

Artificial intelligence (AI) is the process through which a computer may act on data through statistical analysis, allowing it to comprehend, examine, and learn from data using specially created algorithms. Intelligent software devices can remember patterns of behavior and adapting their responses to fit those tendencies or promote behavioral changes (McCarthy, 1990).

Some of the examples of artificial intelligence are like Maps and Navigation Traveling has been greatly enhanced by AI. You may now use Google or Apple Maps on your phone and punch in your location rather than relying on printed maps or directions. Incorporating machine intelligence will provide users with a significantly improved experience (McCarthy, 1990).

We now use artificial intelligence on a regular basis in the form of virtual filters on our faces while taking photos and face ID to unlock our phones. Any human face is recognized in the former thanks to face detection. The user provides the front-end data collection, which is then saved and subject to deep learning and machine learning techniques for analysis. Customer service interactions can be night before going to bed and stressful. It's a costly, ineffective department that is difficult to manage for businesses (McCarthy, 1990).

To keep you engaged and "plugged in," social media platforms utilize AI to monitor content, recommend connections, and send adverts to specific users, among many other functions. With visual image recognition and keyword analysis, AI algorithms can quickly identify and remove posts that are problematic and in violation of the terms and conditions. Although a crucial part of this process, deep learning goes beyond its neural network design (McCarthy, 1990).

MACHINE LEARNING

The new term in intelligent machines is machine learning, a branch of the discipline that permits a device to learn from previous experiences and advance without being recurrent neural networks automatically. Computer science is dynamic and does not rely on pre-programmed rules or directives. On the specific data, where another output is known, the system learns in supervised learning. This serves as the model's "supervisor" during training by offering an answer key the algorithm may use to gauge its correctness using the training set of data (AL, 1959).

This is employed to forecast the values of upcoming or ambiguous data. This method is task-driven. Customer acquisition, staff attrition, fraud incident monitoring, goods sales price predicting, validation forecasting, malware scanning, and fingerprint recognition are a few examples of supervised methods. Between both supervised and unsupervised learning methods is semi-supervised learning. It uses both supervised and unsupervised learning for training, with a large number of data sets and a typical modest portion of annotated data (AL, 1959).

Training process allows the model to infer hidden patterns and structures from unlabeled input. Such data do not contain a response or a target variable to supervise the examination of what is correct or incorrect. Identification of accident-prone regions, consumer segmentation, image segmentation, market basket analysis, and delivery store efficiency. The feedback system, which is predicated on an agent and environmental, is the foundation of supervised learning. This behavior-driven method relies on reinforcements discovered through trial and error. the functional performance of systems, such as industry, supply chain logistics, robotics, and academia (AL, 1959).

BLOCKCHAIN TECHNOLOGY

Blockchain technology is easy to comprehend. The technology basically consists of a central database with entries that must be encrypted and verified using mentoring networks.

Imagine it as a shared Google Document that is strongly encrypted, authenticated, and where each entry in the sheet depends on a logical relationship to all its predecessors and is accepted by everyone on the network. Beyond only being the engine that powers Bitcoin, blockchain technology has a wide variety of other possible applications (Chen, 2022).

This makes it ideal for money transfers and financial transactions. Advantages the blockchain systems provide capital markets include faster settlement process, a centralized audit trail, and operational enhancements, according to a McKinsey analysis (Chen, 2022).

Detailed info like age or gender, as well as perhaps more fundamental medical history information like immunization records or vital signs, are examples of health data that is appropriate for blockchain (Chen, 2022).

According to PWC, the ability of blockchain technology to underpin systems for metering, invoicing, and clearing in addition to carrying out energy supply transactions. Ownership documentation, asset management, origin guarantees, emission permits, and renewable power certificates are some more potential uses (Chen, 2022).

IT CERTIFICATIONS

Obtaining an IT certification is one of the best methods for IT workers to advance their careers. With the help of these certificates, individuals with all levels of experience may show off their abilities and competence while gaining in-depth knowledge of a specific field of IT. Whether a professional wants to advance professionally through a promotion, lateral transfer within their company, or the start of a new career path, obtaining a certification may help them develop their skill set and realize their goals (Quan, 2000).

Certifications are significant because they provide a simple means of demonstrating your proficiency in particular IT fields. To claim that you can use a new technology is one thing. Individuals in level positions: IT certifications can swiftly broaden an employee's range of skills, allowing them to take on more responsibility or apply for promotions. Upper professionals: IT certification can aid mid-career professionals in upskilling, reskilling, mastering a new speciality, and ensuring that their knowledge and expertise are current with the most recent advances in the field. IT certifications can be a useful approach to build on current abilities and establish new ones for anyone wishing to advance in their job or to trace a new career path (Quan, 2000).

There are numerous IT certifications and learning opportunities, ranging from those that offer important core knowledge to those that concentrate on establishing and proving proficiency in a particular skill, technology, or platform. The most fundamental information about a subject is provided by foundations courses, which are offered on a variety of IT topics. For instance, Oracle provides foundations courses in Oracle Cloud Infrastructure (OCI) for IT professionals. For those who are brand-new to a certain subject or technology, foundational courses are designed to educate the fundamentals and lay a strong foundation for developing further skills (Quan, 2000).

INFORMATION TECHNOLOGY JOBS

Information Technology Job are the jobs that are jobs that some professional helps to organization to maintain their infrastructure and provides good assistance to the technology Consumers. An individual who creates new software application utilizing coding languages like HTML, JavaScript, and CSS is known as a programmer. Video game programming can be updated to enhance online multiplayer, giving programmers a chance to address issues gamers may have after the game is made available to the wider public (Litan, 2009).

A systems analyst examines design elements and uses their information technology expertise to address business issues. They pinpoint the infrastructure changes that are necessary to improve business and IT processes. They can help technologists train staff members to make the suggested adjustments. In order to make the group's computer network accessible and effective for all employees, network engineers work on the regular building and support of the network. depending on the product (UX) engineer is involved with every stage of the product development cycle, including usability testing, branding, usability testing, and usability testing (Litan, 2009).

A computer scientist uses their knowledge of technology and resources to address IT issues for companies. Computer scientists are greatly relied upon by IT firms to develop new programming languages and increase the effectiveness of hardware and software systems (Litan, 2009).

As more companies rely on IT for daily operations, marketing, management, and sales, the IT industry is flourishing. sectors that are always changing with great potential for the future. IT managers, and tech support workers within the organization (Litan, 2009).

E-COMMERCE

When browsing on, the purchase and selling of products and services over the internet. The most profitable e-commerce businesses rely on data to drive best practices like audience segmentation, digital marketing, and targeted email marketing (Dey,1999).

E-commerce, often known as online shopping, is the act of buying and selling products and services over the internet. Less interaction with shoppers: Since customers can't engage with anyone while buying, they could feel less of a connection to your company (Dey,1999).

Additionally, shoppers won't have the chance to touch the thing before making a purchase to confirm that it is what they want. More cooperation is necessary for shipping logistics: Customers for e-commerce companies can be found anywhere in the world, so company owners need to make sure their shipping and logistics can deliver goods to their destination quickly (Dey,1999).

Have you ever paid an online parking fine? Then you have encountered C2G. This concept also incorporates online tax payment and e-auction purchases from a government body. You engage in C2G e-commerce whenever you use the internet to send money to a public organization. C2B can, for instance, be as straightforward as a customer submitting a positive review for a company or a stock photography website buying pictures from independent contractors. Additionally, companies that sell secondhand goods occasionally buy goods from common people online. Modern e-retailers are beginning to investigate the potential of virtual reality, giving potential customers the chance to try a product before buying (Dey,1999).

PROGRAMMING LANGUAGES

Programming Language consist of a group of guidelines that enable the conversion of textual values into different machine code or, in the example of visual computer programming, graphics components (Burks, 1954). C's Popular iOS applications like WordPress, Mozilla Firefox, SoundCloud, and even the game Flappy Bird employ the Swift programming language. In comparison to other languages, Swift is easier to learn and can be used with IBM Quick and decisive Emulator and IBM Able to carry out basic (Warren, 1954).

Applications created in R are used to process information, including testing, calculation, presentation, and analysis for both linear and nonlinear models. Applications written in R may process simultaneously organized and semi structured and connect to a variety of databases. Improved version of C is C++ (Burks, 1954). Both languages are widely used in the fields of computer science. To create applications for deep learning and machine learning, programmers utilize MATLAB. Users may analyze data, develop algorithms, manipulate photos, and validate studies using MATLAB-based software (Warren, 1954).

Compared to the other scripting languages on our list, MATLAB is simpler to learn. For identifying mistakes and preventing systemic problems, TypeScript is used to construct JavaScript-based applications with typing in both client-side and server-side development. For identifying mistakes and preventing systemic problems, TypeScript is used to construct JavaScript-based applications with both client-side and server-side development (Warren, 1954).

References

Abowd, G. D., Dey, A. K., Brown, P. J., Davies, N., Smith, M., & Steggles, P. (1999). Towards a better understanding of context and context-awareness.  In International Symposium on Handheld and Ubiquitous Computing (pp. 304-307). Springer, Berlin.

Burks, A. W., D. W. Warren, and J. B. Wright, An Analysis of a Logical Machine Using Parenthesis-free Notation", Mathematical Tables and Other Aids to Computation, Vol. VIII (1954), pp 53—57.