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.

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.

Without a doubt, 2023 has shaped up to be generative AI’s breakout year. Less than 12 months after the introduction of generative AI large language models such as ChatGPT and PaLM, image generators like Dall-E, Midjourney, and Stable Diffusion, and code generation tools like OpenAI Codex and GitHub CoPilot, organizations across every industry, including government, are beginning to leverage generative AI regularly to increase creativity and productivity.

Kong Konnect is an API lifecycle management platform streamlining the connectivity between your APIs and microservices. The control plane is hosted in the cloud by Kong and available across the US, EU, and AU, while the data plane is managed by you within your preferred network environment, like Koyeb.

Arrays enable you to group and order elements of the same type, so they play a crucial role in organizing your app’s data. If you’re building an iOS app, arrays are a vital part of your toolkit, and today we’re going to help you understand them. Specifically, we will give you a backend view of how Arrays work and jump into a host of specific operations, from simple filtering and sorting to complex ways of mapping and reducing them.

In this blog post, we dive into the top five developer struggles associated with maintaining self-hosted CI/CD hardware, and present solutions offered by Bitrise.