On-premises software is stored on local machines, such as desktop computers or servers, so people connected to a network can access critical features. Within an enterprise context, on-premises software almost exclusively exists on on-site servers that multiple employees can access. You might already know that many business leaders want to embrace cloud strategies.

Databox is mostly known for its business analytics and visualization capabilities. As a single-product company for the majority of its existence, it was developed in a way that catered to just one product. As the company began its path as a startup, it was convenient to keep the architecture simple and flexible to quickly adapt to change and align direction if needed to ensure business success.

Cloudera is launching and expanding partnerships to create a new enterprise artificial intelligence “AI” ecosystem. Businesses increasingly recognize AI solutions as critical differentiators in competitive markets and are ready to invest heavily to streamline their operations, improve customer experiences, and boost top-line growth.

In our previous How to Design a Dashboard in Yellowfin: Part Two article, the Yellowfin Japan Team covered how to design a complete image of a dashboard, from start to finish, in our visual-based canvas interface. In this article, the team will demonstrate the necessary process to create the final dashboard.

Amazon Aurora PostgreSQL represents a significant leap forward in database technology, skillfully combining the innovation of Amazon’s cloud capabilities with the reliable framework of PostgreSQL. It's not merely a database; it's a solution designed for the cloud, promising high performance, availability, and compatibility with PostgreSQL. This guide aims to walk you through the setup process comprehensively.

Customer service is an art—and a science. It isn’t just a transactional function. It's also a relationship building activity that’s deeply tied to physiological responses in our brains. And the stakes are high: these interactions shape the neural architecture of customer loyalty. So can you use AI for customer service? Let’s explore that question.

As the connecting blocks of modern data communication, webhooks and APIs play pivotal roles, yet their distinctions are often blurred. Delving into their underlying mechanisms, functionalities, and use cases, after this blog post you will fully master the difference between webhooks and APIs. By unraveling the intricacies of these technologies, this explorative post serves as a resource for anyone looking to navigate their landscape of data integration and communication protocols.

The heart of SaaS innovation in the modern era is API technology, connecting one digital tool to another seamlessly. As APIs have taken center stage, the term “API Developer Portal” has become more than just a buzzword—it’s a crucial element in the realm of software development and the easiest way to ensure seamless connectivity.

The rise of generative AI (gen AI) is inspiring organizations to envision a future in which AI is integrated into all aspects of their operations for a more human, personalized and efficient customer experience. However, getting the required compute infrastructure into place, particularly GPUs for large language models (LLMs), is a real challenge. Accessing the necessary resources from cloud providers demands careful planning and up to month-long wait times due to the high demand for GPUs.

Adopting and deploying Generative AI within your organization is pivotal to driving innovation and outsmarting the competition while at the same time, creating efficiency, productivity, and sustainable growth. Acknowledging that AI adoption is not a one-size-fits-all process, each organization will have its unique set of use cases, challenges, objectives, and resources.