Kotlin was built to replace Java. Or at least, supersede it for a wide range of Android development tasks. Released by JetBrains in 2016, it is designed to address some of Java’s drawbacks and provide a smoother, faster alternative for devs everywhere. So really the question in the title is redundant, right? Kotlin is just better, surely? Well, actually it’s much more nuanced than that.

Businesses handle massive amounts of data daily. To make informed decisions, this data must be optimized for accuracy and consistency, which requires effective data management. However, for best results, data management must be coupled with data governance, which provides essential frameworks to manage data quality and security. Data stewardship takes it a step further.

In our latest update to the WSO2 support portal, we’ve introduced two important new features: Service Requests and Change Requests. These are designed specifically for Managed Deployment based accounts and replace the previous Hosting tasks and Hosting query type cases, offering a more streamlined and efficient way to manage your support needs.

Cloud operations were once the logical next step for streamlining business processes, but now they have become the go-to solution for maximizing operational efficiency. With the advent of ‘cloud-first’ architectures and strategies, cloud computing is the rule, not the exception.

Big data storage tools like BigQuery, Hadoop, and Cassandra are used to manage large volumes of structured and unstructured data generated by modern applications. Unlike traditional databases, these tools provide scalable and distributed infrastructure that efficiently stores, processes, and analyzes petabytes of data across clusters.

Bringing your futuristic vision for a new product to life is one of the biggest hurdles for aspiring entrepreneurs. The new product development process may seem mysterious in the beginning, however, when cracked, this journey to a final product can easily become a straight line. The majority of customers shopping online regularly are usually clueless about the rigorous and time-consuming process that every product goes through before they enter the digital realm.

In the continuous quest to raise the bar on software quality, product teams often find it difficult to avoid trade-offs between release speed and test coverage. One of the more significant sources of trade-off tension is associated with test automation runtimes. Achieving the necessary device coverage during testing often requires teams to seek out multiple device cloud providers with different strengths across security, geolocation, device types, and support for alternative test automation frameworks.

Since generative AI exploded onto the global market, organizations have flocked to adopt it. SAP is no exception–late last year, the ERP launched its embedded AI copilot, Joule. In addition, SAP has invested in other AI companies, hired a chief artificial intelligence officer, and added generative AI features to its products. In order to spur cloud adoption, many of SAP’s premium AI features will only be available to RISE with SAP and GROW with SAP customers.