Google has been named a Leader in the Magic Quadrant™ for Data Science and Machine Learning Platforms by Gartner®. This recognition is attributed to Google's pioneering AI research and development, which includes technologies like transformers, compute-optimal training, optical circuit switch networks, and Tensor Processing Units. Their research has over 2.6 billion citations. Read more.
Google Cloud is launching a new feature called Vertex AI Model Monitoring. This improved system aims to be more versatile and easier to use for monitoring the performance of machine learning models. Here are the key improvements:
You can now use BigQuery as a bridge between Google Apps Script and Gemini for large datasets.
Organizations frequently choose Dialogflow, Google Cloud's service for creating conversational agents, with Dialogflow CX being a popular choice for its advanced capabilities. However, integrating a chatbot without a middleware solution can compromise security by exposing sensitive credentials, such as service account keys, or using unauthenticated URLs. This approach is not suitable for production systems as it can leave your agent and Google project ID vulnerable. Read more.
Monitoring API performance is essential for ensuring a good user experience, protecting the business, and resolving issues proactively. Key metrics to track include response time, throughput, error rate, latency, and availability. Poor performance in these areas can result in user frustration, lost business, and reputational damage, highlighting the importance of optimization. Read more.
Maintaining Kubernetes compliance is challenging due to its dynamic, distributed nature and evolving standards. To address this, Google is introducing a new feature for GKE Enterprise customers: built-in, fully managed GKE Compliance within GKE posture management. This makes achieving and maintaining compliance for Kubernetes clusters easier than ever. Read more.
Google Cloud believes in providing tools for analyzing costs across cloud providers using open standards. As a founding member of the FinOps Foundation and the FOCUS™ project, Google Cloud is introducing a new Looker template view based on FOCUS v1.0 GA to simplify cloud cost management across different clouds. Read more.
Google Cloud is leading with new product innovations aimed at unlocking cloud value through continued innovation.
In a globalized marketplace, finding reviews in a customer's preferred language can be tough. This blog post explores how BigQuery's multilingual embeddings, vector index, and vector search can help by converting text into numerical vectors for advanced, language-specific search capabilities, improving the accuracy and relevance of search results. Read more.
Organizations need both a current "source of truth" and a way to track data changes over time. To achieve this, they use change data capture (CDC) to replicate changes from operational databases like MySQL or PostgreSQL to a cloud data warehouse like BigQuery. Google Cloud's Datastream recently introduced an "append-only" mode, which makes it easier and more cost-effective to replicate changes and maintain historical records in BigQuery. Read more.
Organizations need both a current "source of truth" and a way to track data changes over time. To achieve this, they use change data capture (CDC) to replicate changes from operational databases like MySQL or PostgreSQL to a cloud data warehouse like BigQuery. Google Cloud's Datastream recently introduced an "append-only" mode, which makes it easier and more cost-effective to replicate changes and maintain historical records in BigQuery. Read more.
Organizations gather extensive data for innovation, research, and optimization, necessitating robust data protection to meet various security requirements. Transitioning data warehouses to cloud systems like BigQuery requires safeguarding sensitive data from unauthorized access or exposure. Encryption-based tokenization offers an additional defense layer and precise data control. BigQuery now integrates with Sensitive Data Protection, supporting native SQL functions for seamless, interoperable deterministic encryption and decryption, enhancing data security. Read more.
Source: https://cloud.google.com/blog/products/gcp