Systems | Development | Analytics | API | Testing

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).

We are excited to announce the release of Tricentis Vera 2024.3, delivering further enhancements to approval workflows, user management, system integrations, and performance optimizations for the native Tricentis Tosca integration. These updates streamline processes, improve usability, bolster security, and enhance efficiency, empowering teams to manage projects more effectively.

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.

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.

Logi Symphony from insightsoftware recognized as the premier embedded BI and analytics solution for deriving instant, data-driven insights.

Designing microservices using an event-driven approach has several benefits, including improved scalability, easier maintenance, clear separation of concerns, system resilience, and cost savings. With Apache Kafka as an event plane, services now have a durable, scalable, and reliable source of event data. From Kafka topics, a microservice can easily rebuild and restore the state of the data used to serve end users.

We hosted our first-ever Confluent AI Day on October 23 in San Francisco and virtually. It was sponsored by Confluent, AWS, and MongoDB, with a vibrant gathering of talent and innovation. With 200 attendees, the full-day event brought together AI developers, technology leaders, and startup innovators to explore how data streaming powers generative AI (GenAI) applications.

In this blog, Yellowfin GM Chance Coble discusses the integration of artificial intelligence into our embedded analytics suite, including how we balance innovative features with a responsible approach to the rapidly-evolving fields of AI technologies. At Yellowfin, our philosophy toward artificial intelligence (AI) in business intelligence (BI) solutions is grounded in a deep commitment to innovation and responsibility.

We recently released Kong Gateway Operator 1.4 with support for managing Konnect entities from within the Kubernetes clusters. This means users can now manage their Konnect configurations declaratively, through Kubernetes resources powered by Kong’s Custom Resource Definitions. For example, here’s how you can use a KongConsumer resource in Kubernetes to configure a Consumer in Konnect.

Have you come across the term IoT app development? Of course, you have! Given the widespread popularity of IoT devices and applications, it’s no surprise. However, while many of us understand the basics of IoT, its potential extends far beyond what meets the eye. There’s so much more to explore when it comes to IoT application development and its devices.