Agencies typically have older procurement systems or too many systems. In either case, they are data entry intensive and error-prone, negatively impacting the procurement process and outcomes. The Office of Federal Procurement Policy’s Procurement Acquisition Lead Time memo from 2021 specifically calls for government modernization by “leveraging technology to modernize operations and help the workforce move from low- to high-value activities.”

Mobile users are unforgiving, and discovering an issue in the wild might result in users abandoning the app for good. Therefore, mobile apps and websites must be rock solid before launching to meet market demands. In this article, we explore the top 10 mobile testing challenges that app developers and testers face, as well as recommended strategies and best practices for addressing them effectively.

Black box testing can help! Black box testing refers to a whole treasure trove of software testing techniques that help us achieve excellent test coverage while narrowing the number of cases and saving time. Read on to understand what black box testing is (exactly) and the techniques your team can use to impact your next cycle. You’ll also find some real-world examples along with the techniques.

For many Gen AI-based applications, usage-based billing is crucial. It is especially important if you are using third-party models that charge you for tokens used. You want to ensure that your cost of tokens used is covered by your customers, in addition to charging for your own value add. In this tutorial, we will build a quick Chat Bot API using OpenAI’s ChatGPT, and then use Moesif and Stripe to meter the number of tokens used and report the usage to Stripe to be charged.

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.

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.

Enterprise IT leaders across industries are tasked with preparing their organizations for the technologies of the future – which is no simple task. With the use of AI exploding, Cloudera, in partnership with Researchscape, surveyed 600 IT leaders who work at companies with over 1,000 employees in the U.S., EMEA and APAC regions.

APIs are the backbone of the modern enterprise. However, troubleshooting API errors and resolving issues quickly can be challenging given their role in application operational continuity and customer experience. Time-sensitive resolution demands monitoring and deep analytical insights into API performance and usage. Combining both these capabilities in one tool accelerates real-time resolution and empowers stakeholders to surface business-critical API performance metrics through a self-service motion.

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.

Given its intricate and cross-system nature, effectively managing master data necessitates a robust technological infrastructure. The process begins with data collection, utilizing Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) processes for normalization and integration.