Imagine your business is an ocean. Under the surface, a rich ecosystem of processes, people, and technology needs to work together to create a healthy environment. Above the surface, constant waves can make or break your business, either propelling you to new opportunities or sinking you under pressure.
At Kong, we’re always looking to expand the experience of running our products in the AWS cloud. As we steadily move into 2023, we want to continue this streak because we see firsthand the tremendous growth and success it provides our customers. Today, we’re excited to announce that the Kong API management platforms, Kong Enterprise and Kong Konnect, are validated integrations with Amazon VPC Lattice.
ChatGPT has taken the world by storm. Apps powered by large language models (LLMs) have suddenly taken center stage, with OpenAI, Google, Baidu, and Microsoft getting into the act. A spurt of startups and use cases has emerged on the scene. Suddenly, Generative AI, a branch to which these LLMs belong, seems to dominate every conversation, not just in the technology industry but among professionals the world over.
Artificial intelligence (AI) promises outsized gains in business efficiency. And since organizations live or die by their processes, integrating AI into the picture through AI process optimization can help boost ROI with end-to-end process automation and enhancements. This blog will explore five ways AI can be used to improve and optimize process efficiency. But first, let’s explain what AI process optimization means.
We recently rolled out our very own GPU autoscaler in Collaboration with Genesis Cloud and it has been quite a success. Also recently, YOLOv8 by Ultralytics was unveiled, the new king of object detection, segmentation and classification. In this blogpost we’ll see that you can train a computer vision model using the ClearML/Genesis Cloud autoscaler at a fraction of the cost of competing cloud services like AWS or GCP. And it even runs 100% off of green energy! 😎
If you have managed a cloud data platform, you have undoubtedly gotten that call. You know the one, it's usually from finance or the office of the CFO, inquiring about your monthly spend. And it usually comes in one of two forms: While both are clear and present dangers to cloud data platform owners, they don’t have to be.
