In the current era of technological advancement, the proliferation of diverse data sources has revolutionised decision-making processes across the globe. This exponential growth in data availability has reshaped decision-making paradigms and unlocked unprecedented opportunities for applying machine learning methodologies.

Testing software is essential in the development phase because it enables the developers to produce robust, error-free software that is usable, acceptable, and functional. The research reviews software testing and explicitly testing techniques and levels utilised in all testing of software products.

In the current era of technological advancement, the proliferation of diverse data sources has revolutionised decision-making processes across the globe. This exponential growth in data availability has reshaped decision-making paradigms and unlocked unprecedented opportunities for applying machine learning methodologies.

The essential need for security of information in higher education will remain to expand. Professional details offence has happened before and there is a possibility to occur again without correct management of risk. This research survey utilizes the concepts of Comprehensive Literature Review (CLR) approach to integrate researches within AI and cyber security issue by analyzing the already available literature well known vulnerabilities, actors of threat, events of threat and assets in higher education institution.

SAP Fiori, the business user experience redefined, offers a simpler, more user-friendly approach for your company to use SAP applications. SAP Fiori, with its emphasis on an intelligent, consistent, and integrated user experience, can assist you in taking a fresh look at how you operate in the digital age.

Generative Adversarial Networks (GANs) have emerged as a novel approach to generative modeling, revolutionizing the field of machine learning. GANs consist of two neural networks, a generator, and a discriminator, that are trained competitively.

In the realm of supply chain management, the integration of Industry 4.0 technologies is revolutionizing traditional processes, and SAP stands at the forefront of this transformation. This abstract delves into how SAP's supply chain solutions are embracing the principles of Industry 4.0 to enhance efficiency, agility, and responsiveness.

This article will focus on creating an Azure IoT Central application and connecting your smartphone device. Azure IoT Central is a key platform in the Internet of Things space for developing, overseeing, and evaluating IoT applications without the hassles of conventional infrastructure administration.

As wearable technologies and the concept of AR and VR take the world by storm, they redefine the notions of teamwork through virtual interactions. From the knowledge derived from this paper, it is rather possible to implement and integrate AR and VR technologies into remote teamwork so that colleagues who may be separated geographically can work together as if they are in a shared environment.

In today’s fast-paced and technology-driven world, maintaining operational efficiency is critical for businesses striving to stay competitive. Predictive maintenance, powered by Artificial Intelligence (AI), emerges as a game-changer, revolutionizing how companies approach equipment upkeep and overall operational strategies. This article delves into the significance of predictive maintenance and how AI is transforming traditional maintenance paradigms.

Due to the constantly evolving environment and rapidly growing competition in the financial sector, utilizing AI for systematic goals and gaining optimum benefits has been a major focus. This article analyses the importance of Data Engineering when it comes to the development of sound AI structures in the field of finance. It underscores the need for quality data in any AI project to be effective, efficient, and accurate in its operations.

This paper discusses novel predictive modeling features of a cloud-based enterprise data warehousing platform (Snowflake) that allow for high-speed, nearly real-time updating of predictive models with new training data. The ability to process collaborative filtering-type recommendations is shown in the context of new Internet of Things (IoT) sensor data. The prediction update process is linear in the number of predictions and 68x +- 12x faster than batch updating methods if a linear model can be used.

The term machine learning refers to the capability of a program or application to learn and optimize its performance as a consequence of its exposure to a multitude of external conditions. The development of ML technologies has reached the level where they can be introduced to address logical operations and tasks that are typically carried out by highly skilled technical personnel in the repetitive and mundane day-to-day product testing phase of the manufacturing process.

The transportation of people and goods presents a long-standing conundrum for public policymakers. This is amply demonstrated in the transportation sector among the greenhouse gas (GHG) emitters: it represents 17.9% of global anthropogenic GHG emissions (up to 24% when accounting for indirect emissions) and 23% of the energy-related CO2 emissions, with annual increases of GHG emissions of more than 3% in the last 35 years.

Data protection has emerged as one of the most significant issues in the modern world due to the ever-increasing accumulation and use of personal information. The use and application of artificial intelligence include the following opportunities and threats that are associated with the subject. This article aims to discuss multiple approaches to AI-based solutions targeting the protection of individuals’ data and innovative implementations of the mentioned approaches.

In a world where the technologies of software development and delivery are changing, the role of DevOps becomes one of the determinative methods to increase productivity and share output. However, the adoption of DevOps for cloud-native environments offers a seemingly endless list of security issues that organizations have to pay a lot of attention to. As will be revealed progressively in this paper, the current strategies to protect DevOps pipelines in cloud-native surroundings are diverse and effective.

This is due to the fact that the technological growth, most especially in the artificial intelligence and automation system has influenced a number of fields, among them being software development. Also, in this paper, the author looks at the advancement of AI and Automation in software engineering and discusses the effect of the two key concepts in enhancing the development processes, efficiency and quality of code, as seen in the sections below.

Fraudulent activities in financial transactions present significant challenges to financial institutions, resulting in substantial monetary losses and damage to reputation. With the exponential growth in the volume and velocity of financial data, traditional fraud detection methods often fail to deliver timely and accurate results. This paper presents an in-depth study on utilizing deep learning techniques for real-time fraud detection in financial transactions.

The operational difficulties that banks encounter are examined in this thesis, along with how ServiceNow could be able to provide a revolutionary remedy. The banking sector is constantly under pressure to manage operational risks, increase customer satisfaction, maintain regulatory compliance, and improve efficiency. These problems can be solved with the help of ServiceNow's workflow automation, data integration, and service management features.

The application of Artificial Intelligence (AI) has become significant over the years, and especially within the financial sector and more so within the fraud detection in the investment and pension accounts. Since fraud ultimately is a financial crime, traditional methods of detecting financial frauds are sometimes unable to cope up with emerging threats. Real-time fraud monitoring and analysis use artificial intelligence together with machine learning technique to analyze large data sets and detect and analyze patterns of fraudulent activities.

The more a cloud services provider relies on Internet-facing applications, the more important the security becomes. As security challenges are evolving, dynamic threat modelling is an emerging critical methodology. Dynamic threat modelling is different from static approaches because it combines real-time data and lets the real-time landscape and architecture change constantly.