Systems | Development | Analytics | API | Testing

2024 has been a year defined by technological innovation as the rise of AI made a profound splash for SAP-powered finance teams. On the other side of the coin, they also struggle with skills shortages that make it difficult to keep up with the speed of developing technology.

As Salesforce expands its no-code capabilities, users transform into no-code developers as they create complex workflows using tools such as Lightning Web Pages and Salesforce Flow. As is the case with coded changes, these no-code changes impact and potentially introduce risk into critical processes. Thorough testing is needed to ensure changes align with business requirements and maintain system reliability.

Thanks to AI, a few people might be starting the new year with bright, shiny smiles. The technology has exploded in popularity and augmented almost everything, including a toothbrush and app combo that uses AI to optimize your dental hygiene habits. Teeth brushers aren’t the only ones grinning due to the AI explosion. Enterprise leaders have been cheerful about the advantages AI can bring to their company’s testing efforts and the software development lifecycle (SDLC).

Integrating legacy ERP systems with cloud platforms is a critical step for businesses aiming to improve operational efficiency and data accessibility. APIs play a key role by providing secure, standardized communication between systems. DreamFactory simplifies this process by automating the creation of REST APIs for SQL Server-based ERP systems.

SQL Server is a cornerstone RDBMS for enterprise applications, handling transactional workloads, analytics, and complex querying. As modern architectures increasingly rely on APIs for data access—particularly in microservices, cloud-native systems, and third-party integrations—efficient exposure of SQL Server data has become essential. API wrappers simplify this process by automating the creation of RESTful endpoints for SQL Server, reducing the need for custom API development.

Everyone wants the same thing: To work less and profit more. But not everybody knows how to achieve those things. At Astera, we’re pretty sure we’ve cracked the code, and you might be surprised to learn that it starts with how you process your documents.

This expert panel discussed how businesses can prepare for challenges and opportunities with AI, powering smarter models and personalized experiences.

Java and Kotlin have been at the forefront for Android development and beyond. Java, a very reliable language with over two decades of dominance, has shaped the foundation of countless software applications and systems. Kotlin, on the other hand, is a newer language designed to improve upon Java, offering modern syntax, enhanced safety, and greater developer productivity. But how do these languages compare in terms of features, performance, use cases, and community support?

Memory leaks happen when a program fails to release memory it no longer needs, and can be a big issue for developers and system administrators alike, as the gradual depletion of available memory often makes for complex troubleshooting and debugging. Given how the consequences of a memory leak can range from decreased system performance to outright crashes, it’s crucial to isolate the root cause of the leak quickly and efficiently.

In 2024, organizations realized the revolutionizing business potential of gen AI. They accelerated their gen AI operationalization processes: explored new use cases to implement, researched LLMs and AI pipelines and contemplated underlying ethical issues. And with the seeds of the AI revolution now planted, the market is maturing accordingly.