Why the modern data stack is critical for leveraging AI
Databricks’ 2023 State of Data + AI report highlights the importance of the modern data stack in leveraging AI.
Databricks’ 2023 State of Data + AI report highlights the importance of the modern data stack in leveraging AI.
Artificial intelligence (AI) has reached a tipping point in the public consciousness. Much of this has been driven by technology developments related to large language models (LLMs) and the release of generative AI tools, including ChatGPT from OpenAI. However, for enterprises shaping forward-looking AI strategy, a critical part of the conversation that needs to be addressed is the issue of private AI vs. public AI.
How BigQuery’s ML inference engine can be used to run inferences against unstructured data in BigQuery using Vertex AI pre-trained models.
Chat Generative Pre-Trained Transformer (ChatGPT) is a pre-trained AI bot that can chat with you and generate relevant natural language text in response to your input text. The most impressive aspect of this software is that it promptly provides clear and concise information. Financial institutions, payment gateways, and processors securely process payment transactions.
A microVM is a lightweight virtual machine. Any function or container workload can run inside of one. It is ideal for running multiple high-performance and secure workloads concurrently on a single machine because it combines the security and isolation of traditional VMs with the resource efficiency of containers. In this blog post, we dive into the world of microVMs, specifically Firecracker microVMs.
Over the years, software developers have heavily relied on manual testing processes, which continue to play a vital role in the testing phase. However, it’s important to acknowledge that there are scenarios where test automation becomes important too. That is where test automation tools come in handy. In recent years, automated testing has emerged as a valuable addition to the field of software testing.