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.

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.

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.

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.

ServiceNow is focused on making the world work better for everyone. More than 7,700 customers rely on ServiceNow’s platform and solutions to optimize processes, break down silos and drive business value. Achieving 20% year-over-year growth with a 98% renewal rate (as of Q1 2023) requires a data-driven understanding of the customer journey.

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.

Application Programming Interfaces (APIs) are the glue powering SaaS application connectivity. However, ensuring smooth operation of APIs requires more than just implementation; vigilant oversight and alerting can make or break your API products.

The conversation around data fetching and API management is increasingly dominated by two major players: GraphQL and REST. These technologies, while serving the same purpose of facilitating communication between client and server, offer markedly different approaches and philosophies. GraphQL, emerging as a powerful alternative to the traditional RESTful architecture, brings a new dimension to data retrieval efficiency and flexibility.

The challenge with security around the development process is that too often it has felt like it was bolted on after the fact, because it was. It’s no wonder that an announcement that a new security tool has been added to the process is likely to elicit a collective eye roll from a development team. To be clear, developers are not against security, but they are skeptical of new processes and tools being added by security teams with no development experience.

Google Analytics is one of the most widely used web analytics platforms for businesses working to understand web traffic trends. Google Analytics integrates with many other business applications and data sources, but for some organizations, these integrations are difficult to set up for more complex platforms like data warehouses and lakes. Fortunately, a number of leading data integration and ETL companies offer accessible connectors, tools, and support specific to Google Analytics integrations.