Audit firms are increasingly engaging with advanced data analytics to improve the efficiency and effectiveness of external audits through automation audit work obtaining a better understanding client's business risk thus their own risk. This paper examines process by which adopt analytics, has been left unaddressed previous research. We derive theory from expert interviews describes activities within organizational units involved. It further how adoption is affected technological,...

In the age of digital business transformation, enterprises seek to increase their agility and speed IT delivery. To accomplish this, they change existing control-driven organizational structures processes establish separate modes for business-oriented traditional delivery ("bimodal IT"). Though concept bimodal has been discussed in practice, empirical research regarding approaches employed implement is scarce. This paper presents findings from a qualitative-empirical study on implementation...

During the last years, many companies established fast IT or digital units dedicated to build and operate customer-facing services. These adopted agile methods, new tool chains as well organizational settings like BizDevOps teams. teams are responsible for continuously (re-)defining business functionality of certain (micro-)services, (re-)developing running them. In these environments, role enterprise architecture management changes dramatically. have a high degree autonomy in designing...

Today, Enterprises act in an increasingly interconnected world and different kinds of collaborative networks. They are part business ecosystems which they interact with their customers, partners competitors. The processes analyzing planning the intertwinement IT architecture within enterprises has been successfully supported by enterprise management (EAM) approaches. In this paper, we analyze four cases from industries (health care, logistics, retail, education) argue that...

Road damages are of great interest for federal road authorities and their infrastructure management as well the automated driving task thus safety comfort vehicle occupants. Therefore, we investigating automatic detection different types by images from a front-facing camera in vehicle. The data basis our work is provided 'IEEE BigData Cup Challenge' its dataset 'RDD-2020' with large number labelled Japan, India Czech Republic. Our Deep Learning approach utilizes pre-trained Faster Region...

The competition and the collaboration of established banks challenging fintechs are expected to dramatically change financial services ecosystem. different types roles as new niche players in ecosystem not well understood so far. However, a better understanding these is required for incumbent actors defining aligning their strategies. In this paper, we analyze business models 195 fintech companies with special focus on role data. Based analysis, present structured overview fintechs' areas...

Companies today interact in an increasingly competitive environment and seek to leverage the potentials of IT for generating new business models changing existing ones. For these models, companies have align respective architectures. This task can be supported by using enterprise architecture management. In this paper, we first analyze integrating (management) model (management). Second, components different approaches describing are compared each other. Third, present a concept into Fourth,...

The processing of personal data has evolved into an integral component businesses by providing several data-driven opportunities. Simultaneously, struggle with the associated responsibility for privacy, as recent scandals have shown. As a consequence, European Commission passed General Data Protection Regulation (GDPR) to enhance rights citizens and requirements on protection. This paper argues that enterprise architecture (EA) models can be key compliance GDPR. Following incremental...

In recent years, automated driving has become one of the most important research fields in automotive industry. A key component for a successful substitution human by vehicles is real-time model current environment including traffic situation, guide-way, and road itself. We propose solution measuring conditions within spring-damper system vehicle. this paper, we utilize Vehicle Level Sensor (VLS) an Acceleration (AS), both which are standard components modern vehicles, condition monitoring....

Safe autonomous vehicles must be able to predict and react the drivers around them. Previous control methods rely heavily on pre-computation are unable dynamic events as they unfold in real-time. In this paper, we extend Model Predictive Path Integral Control (MPPI) using differential game theory introduce Best-Response MPPI (BR-MPPI) for real-time multi-vehicle interactions. Experimental results presented two AutoRally platforms a racing format with BR-MPPI competing against skilled human...

This paper presents and evaluates the concept implementation of two distinct multi-sensor systems for automated manufacturing based on parallel hardware. In most sophisticated implementation, 12 processors had been integrated in a system. Some specialized nodes implement an Artificial Neural Network, used to improve photogrammetry-based computer vision, Fuzzy Logic supervision sensor fusion. Trough distributed intelligent processing units, it was shown that architectures can provide...

Agile service delivery teams with high autonomy and self-organization are spreading throughout many organizations. To foster alignment of the to enterprise strategic vision while maintaining their autonomy, a corresponding IT portfolio management as linking mechanism is perceived necessary. Organizations facing growing number possible approaches for agile management. However, empirical theoretical evidence on best practices being able choose fitting approach own needs relevance business...