Legacy enterprises can often resist software testing modernization. An established brand presence and loyal customer base intensify the pressure to introduce new features and technology and can act as barriers to change.

BT Group's Smart Event Mesh: Centralized Event Streaming With Decentralized Customer Experience, Automation, and a Foundation Built on Confluent. BT Group is a British multinational telecommunications holding company headquartered in London, England. It has operations in around 180 countries and is one of the largest telecommunications companies in the world, providing a range of products and services including fixed-line, broadband, mobile, and TV.

As software development evolves, test automation plays an increasingly significant role in improving efficiency and quality. This is particularly true in the field of Continuous Integration and Continuous Deployment (CI/CD), where CI CD test automation has become a crucial component. Recent data from the CDF highlights the impact of these practices. Developers using CI/CD tools are consistently outperforming their peers, with at least a 15% higher likelihood of being top performers.

Data fabric technology can help in a significant way, which is why it’s becoming a go-to method of choice for data management. Data fabric technology integrates information scattered across disparate sources and creates a unified data model through a virtual data layer. Data fabrics let you leave your existing data architecture intact, pulling directly from your current data sources and updating them in real time. So why is a data fabric approach the solution to your complex data challenges?

By December 2027, all SAP customers are required to have migrated to its S/4HANA platform. To streamline this mandatory migration, SAP developed its SAP Activate methodology. The methodology itself is broken down into six key phases as shown below: When we examine these phases through a quality lens, focused on ensuring that the outcome is a highly performant and scalable system – we find that the need for Enterprise Performance Testing is critical at every stage.

Businesses are seeking ways to collect all the data from their digital sources and draw out patterns that can reinterpret human participation with automation. A vanguard in this attempt is the emergence of large language models (LLMs) powered by artificial intelligence (AI).

Low-code gives developers the flexibility to automate and streamline large portions of workflows, applications, and end-to-end processes while still allowing room for high-code development. This dual capability accelerates project timelines and enhances developer productivity. That’s why low-code development is often used as a supplement to high-code approaches; but it can also be the primary driver of development efforts.

Accessibility testing is a type of software testing that ensures that software applications are usable by people with disabilities. It benefits all users by addressing various types of difficulties Knowing these challenges helps you implement testing strategies that guarantee the applications provide a good user experience for everyone.

Since introducing Snowpark Container Services, we’ve seen overwhelming adoption across industries from customers and partners, including Landing.AI, Relational.AI, H20.AI, SailPoint, AIR MILES, Spark NZ, and Eutelsat OneWeb. These organizations and many more are using Snowpark Container Services capabilities to easily and securely deploy everything from custom front-ends and large-scale ML training and inference to open source and homegrown models, all securely within Snowflake.

The world of Data Integration continues to evolve at a rapid pace, and Qlik has evolved along with it at equal pace, starting with acquisitions of Podium, Attunity, and now Talend, Qlik’s Data Integration and Quality solutions are a formidable force to have in your toolkit when you are looking to modernise data engineering in your organisation.