The Challenge for Traditional Banking Institutions

Traditional banking institutions face significant challenges from alternative fintech solutions such as digital banks, wallets, mobile payments, peer-to-peer lending platforms, and cryptocurrencies. These fintech innovations have embraced DevOps methodologies and technologies from the outset, benefiting from advantages such as zero downtime, rapid delivery of new features, fewer bugs, enhanced performance and scalability, and reduced maintenance costs. In contrast, traditional banks have been slow to adopt new IT methodologies due to their legacy systems, stringent regulations, and conservative IT management frameworks. As a result, they have fallen behind in certain fintech areas.

A slow testing process often stands in the way of development teams striving for fast and efficient releases. For many, manual testing creates a bottleneck where time, resources, and quality are at stake. But there is a solution that can speed up the process while also improving quality: automated testing.

For many companies, production issues bring more than frustration – they result in costly reworks, bug corrections, and retesting, disruptions to user experience, and damage to customer trust. Often, these issues stem from the limitations of manual testing and the pressure on development teams to keep up with release deadlines. Here, we explore how automated testing, further enhanced by AI, allows teams to feel more secure in their deliveries, and can thus keep a higher pace. 

A successful collaboration is about more than just delivery and satisfied parties. Through a 17-year partnership with Alfa Laval, System Verification has shown that cultural alignment, entrepreneurial spirit, and long-term responsibility can contribute to regional growth in Skåne and social change in Sarajevo.

At System Verification, we recognize the rapid advancements in artificial intelligence and the growing need for strong testing practices. To stay ahead, we’ve made AI and machine learning key priorities in our 2024-2025 competence development strategy. One major initiative has been the ISTQB AI Tester certification, which equips our consultants with the skills to handle AI-driven systems.

This article explores Gen Z UF’s journey, including how they developed their business idea, why they chose to focus on Gen Z and employers, what they hope companies will learn from their insights, and how their collaboration with Sabina Engdahl, Digital Marketing Officer at System Verification, has supported them. It also highlights the lessons they’ve gained from having their first company as a client.

Additionally, the article examines the value of collaborating with Gen Z UF for companies looking to understand the next generation’s workplace expectations. Miriam Adhanom (Talent Acquisition Lead & HR Partner), representing the company as the customer, shares her perspective on the partnership—explaining how it supports CSR efforts, fosters young entrepreneurship, and contributes to creating a more attractive workplace for future talent.

In an age where digital transformation is revolutionizing industries, the importance of Software Quality Assurance (QA) has reached unprecedented levels, particularly within the defense sector. As systems grow more complex and interconnected, safeguarding their security, reliability, and compliance is of utmost importance.

APIs, or Application Programming Interfaces, are the connectors that allow different software systems to communicate. They establish a standardized communication protocol for sending and receiving data, ensuring consistency across platforms. The OpenAPI Specification (OAS) is a popular format used to document these APIs in a machine-readable way (typically in JSON or YAML). Because it’s both comprehensive and machine-readable, OAS powers many automation scenarios in API testing, acting as a blueprint for test generation. 

What is the first thing that crosses your mind when you see the report that a test has failed in the automated run?

• “O-o, we have a bug here,” or
• “What is wrong with this test case now?”

The European Union has just rolled out the InvestAI initiative, a colossal endeavor to rally €200 billion for AI investment. Think of it as Europe's grand plan to become the superstar of AI development and application, sparking innovation and competitiveness across a multitude of industries. But what does this mean for companies in Europe? Let's dive into the potential impact and opportunities that InvestAI brings to the table.