Disruptive Innovations and Disruptive Assurance: Assuring Machine Learning and Autonomy

Autonomous and machine learning-based systems are disruptive innovations and thus require a corresponding disruptive assurance strategy. We offer an overview of a framework based on claims, arguments, and evidence aimed at addressing these systems and use it to identify specific gaps, challenges, and potential solutions

Modular architecture providing convergent and ubiquitous intelligent connectivity for networks beyond 2030

The transition of the networks to support forthcoming beyond 5G (B5G) and 6G services introduces a number of important architectural challenges that force an evolution of existing operational frameworks. Current networks have introduced technical paradigms such as network virtualization, programmability and slicing, being a trend known as network softwarization. Forthcoming B5G and 6G services imposing stringent requirements will motivate a new radical change, augmenting those paradigms with the idea of smartness, pursuing an overall optimization on the usage of network and compute resources in a zero-trust environment. This paper presents a modular architecture under the concept of Convergent and UBiquitous Intelligent Connectivity (CUBIC), conceived to facilitate the aforementioned transition. CUBIC intends to investigate and innovate on the usage, combination and development of novel technologies to accompany the migration of existing networks towards Convergent and Ubiquitous Intelligent Connectivity (CUBIC) solutions, leveraging Artificial Intelligence (AI) mechanisms and Machine Learning (ML) tools in a totally secure environment

AGILE IT SERVICE MANAGEMENT DESIGN OF FINTECHCO DIGITALIZATION BASED ON COBIT 2019 DEVOPS FOCUS AREA

The Indonesian Financial Technology (Fintech) industry plays a pivotal role in driving digital technology advancements and propelling the nation's growth. The rapid development of Fintech presents a unique challenge for established financial companies, necessitating effective government regulation through a Sandbox approach. FintechCo, operating under the watchful eye of State-Owned Enterprises and the Financial Service Authority, must strike a delicate balance between their agile services and security risks. Hence, FintechCo necessitates an examination of optimal agile services through the utilization of five stages derived from the Design Science Research approach. This need arises to adhere to the Good Corporate Governance standards established by State-Owned Enterprises (SOE) and the Financial Services Authority (FSA). The cutting-edge COBIT 2019 DevOps Focus Area framework is employed for analysis. The research identifies three highest priority Governance and Management Objectives (GMOs): Managed Security Services (DSS05), Managed Problem (DSS03), and Managed Solution Identification and Build (BAI03). These GMOs are thoroughly evaluated, and comprehensive recommendations are provided based on their seven key components. There is an estimated 17% increase in the average capability score, from 2.82 to 3.30, across all three GMOs. The contribution of this study is twofold: to serve as a valuable knowledge resource for agile IT services in digitalization within organizations and to offer practical implications for FintechCo to enhance their digitalization. Furthermore, this research sets a precedent for the Fintech industry, signifying a benchmark for excellence and innovation