Systems | Development | Analytics | API | Testing

According to Statista, the market for legacy modernization tools might reach $36.86 billion by 2027. This growth signifies an increasing demand for modernization in organizations worldwide. However, the journey towards modernization isn’t always successful. In fact, nearly three out of four organizations fail to modernize legacy systems effectively. The best legacy modernization tools can help your organization overcome these challenges.

In the world of computer science and data transmission, encoding and decoding are fundamental concepts. One of the most commonly used encoding schemes is Base64. This encoding method is widely used in various applications, from email encoding and web data transfer to encoding binary data for storage. So let’s explore more in detail about Base64 decoding, exploring its purpose, how it works, with some practical real life examples.

A longtime top innovation partner to Databricks, we continue to demonstrate the power of better analytics through automation.

IT organizations serve the business. Their mission is to help optimize business operations to enhance performance across the enterprise and enable the organization to meet mission-critical goals. With the rapid pace of change, it’s critical to make smarter, faster decisions around business processes to generate a tangible, measurable impact.

Due to market pressures and disruptions, life sciences organizations need to reexamine their supply chain operations and how to more safely and efficiently bring products to market. However, deciding where to begin implementing change can be daunting. Here are some best practices for achieving streamlined end-to-end supply chain orchestration.

New apps and products enter the market daily, each undergoing rigorous testing before release. As automated processes advance across various industries, software development is no exception. Many quality assurance (QA) teams heavily invest in automation to handle most of their tests. This ensures repeatable tests are efficiently executed while quality assurance professionals focus on other tasks. With all these advancements, one might wonder: Is manual testing still important? The answer is yes!

Is there a formula or approach to estimate how much you should spend on your quality engineering (QE) efforts? Our CEO, Steve Semelsberger, is frequently asked that question in discussions with other leaders. In part II of his quality engineering for CEOs series, Steve guides us through various scenarios and offers a unique approach to calculating your QE spend based on your specific business needs. Read the article now! If you missed part I, you can catch up on it here.