With our new dbt Cloud™ orchestration integration, automated end-to-end data integration is now at your fingertips.

It’s not hyperbole to say that generative AI (gen AI) is radically transforming the advertising, media and entertainment industry. There has been widespread excitement about the potential of gen AI to open brand-new creative opportunities and unlock unprecedented efficiencies. At the same time, there has been understandable concern about issues such as inherent bias, deep fakes and the impact of gen AI on jobs.

Delivering transformational innovation and accurate business decisions requires harnessing the full potential of your organization’s entire data ecosystem. Ultimately, this boils down to how reliable and trustworthy the underlying data that feeds your insights and applications is. This applies to modern generative AI solutions that are particularly reliant on trusted, accurate, and context-specific data.

As technology advances, so do user expectations. Advanced analytics has emerged as a hot topic and a key area of focus for buyers looking to provide higher quality analysis to inform business decision-making in a turbulent market. Furthermore, the era of cheap money is over. Funding is scarce and Independent Software Vendors (ISVs) must ensure their offer is seen as an essential expense for financially constrained buyers, delivering quick value, quality, and innovation.

The concept of time-to-market has emerged as a pivotal factor in determining success. Bringing new products, services, or features to market can make the crucial difference between seizing opportunities and falling behind. But faster tech advancements, changing consumer preferences, and global market dynamics meant that businesses need a paradigm shift in their approach to strategy. The adoption of APIs has surged, fundamental to rapid development and innovation.

AI automation involves leveraging artificial intelligence (AI) to automate repetitive tasks within operational workflows, thereby enhancing efficiency and productivity. This not only streamlines routine tasks within core business processes but also enables companies to scale growth efficiently by integrating a broad range of digital tools such as robotic process automation, APIs, and software robots.

Fivetran’s fraud detection solution combines data acquisition, ingestion and movement capabilities with BigQuery data analytics and machine learning.

The first release of Kong Mesh for 2024 (version 2.6) brings many new features that ease day 0 for new starters of service mesh reinforcing our goal of making a simple yet powerful product! In this blog, we'll break down these new features and provide tailored use cases to illustrate how Kong Mesh 2.6 can elevate your service mesh experience. We'll focus on three main categories: flexibility, usability, and security.

Coming from an HTTP-only background, message queues look very fascinating. Unlike HTTP, you can just push events to the queue and move on. After all, they're a big part of what makes async communication possible between microservices. In this article, we'll take a look at Apache Kafka and how you can build a durable throttling layer with it. Let's get started!