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Capturing the opportunity of AI while keeping an eye on sustainability with STaaS

The ever-growing tide of data, fueled by analytics and AI, places a significant strain on data center resources and increases energy consumption. With more stakeholder scrutiny and evolving regulations, such as the EU’s Corporate Sustainability Reporting Directive (CSRD), and U.S. regulations on the horizon, organizations are taking notice now more than ever before. As a result, organizations are prioritizing sustainability in their IT strategies.

Optimizing Parallel UI Testing with Humans and Machines

Releasing software is often a sequence of repetitive activities, including critical quality gates to assure the right version, configuration, and scope are deployable and releasable. In those critical moments, we want our release quality and risks to be predictable against expected outcomes and behaviors – we want to mitigate any potential risks associated with new changes.

How Embedded Analytics Gets You to Market Faster with a SAAS Offering

April 19, 2024 insightsoftware is a global provider of reporting, analytics, and performance management solutions, empowering organizations to unlock business data and transform the way finance and data teams operate. Companies that offer products to their customers demand analytics, all while juggling multiple priorities. Customers expect rapid value from your product (time-to-value), unwavering security of their data, and access to advanced analytics capabilities.

Latest Innovations In The "Boring" Regression Testing Space

In today's dynamic software landscape, teams struggle with where to invest their time: new feature testing or regression testing. Obviously, ensuring the reliability and stability of applications is paramount so that the end-user experience is not impacted. However, teams must also ensure that new features and capabilities that will propel the company's business to the next level are also properly tested and ready to be put in the hands of the end users.

Exploring the Connection Between Data Governance and Data Quality

Data governance and data quality are closely related, but different concepts. The major difference lies in their respective objectives within an organization’s data management framework. Data quality is primarily concerned with the data’s condition. It ensures the data is complete, accurate, reliable, and consistent. On the other hand, data governance refers is the overall management, maintaining compliance, and ensuring the security of data assets within an organization.

Basel 3.1: Strengthening Global Financial Framework

The financial crisis of 2008 exposed vulnerabilities in the global banking system. In response, the Basel Committee on Banking Supervision (BCBS) introduced the Basel III reforms, a set of regulations designed to strengthen banks’ capital adequacy and risk management practices. Basel 3.1, the latest iteration of these reforms, is set to be implemented in major jurisdictions like the EU and UK in 2025.

Kafka-docker-composer: A Simple Tool to Create a docker-compose.yml File for Failover Testing

Confluent has published official Docker containers for many years. They are the basis for deploying a cluster in Kubernetes using Confluent for Kubernetes (CFK), and one of the underpinning technologies behind Confluent Cloud. For testing, containers are convenient for quickly spinning up a local cluster with all the components required, such as Confluent Schema Registry or Confluent Control Center.