Source: https://cloud.google.com/blog/

A Gartner survey finds 61% of organizations are evolving their data and analytics operating model due to AI technologies, requiring simpler data unification and integration, AI-assisted tools, and governance across the data estate and AI models.

Source: https://cloud.google.com/blog/

Google Cloud and MLB are hosting a hackathon where developers can submit projects using Gemini AI models, with a deadline of February 4, 2025, and a chance to win.

Source: https://cloud.google.com/blog/

Google Cloud's Database Center now supports Bigtable, Memorystore, and Firestore databases in preview. This expansion offers a unified view of the entire database fleet, proactive risk management, and optimization opportunities for these new databases.

Source: https://cloud.google.com/blog/

In 2024, Spanner introduces tier-based pricing for multi-model capabilities. This follows previous improvements such as doubling storage and increasing throughput by 50% at no extra cost. The new pricing approach, called Spanner editions, aims to offer flexibility, cost transparency, and additional cost-saving opportunities for various needs and budgets.

Source: https://cloud.google.com/blog/

Google Cloud removed data transfer fees in January 2024, allowing users to focus on projects without financial constraints. The company also shared tips on utilizing data and AI in the new year.

Source: https://cloud.google.com/blog/

Google Distributed Cloud (GDC) offers on-premises generative AI services, addressing data sovereignty, regulatory compliance, and low-latency requirements. This fully managed hardware and software solution, designed for AI and data-intensive workloads, is now available in various extensible hardware forms.

Source: https://cloud.google.com/blog/

The NIS2 regulation requires entities in critical sectors to adopt new security measures, including risk management, business continuity plans, and enhanced supply chain security. Failure to comply may result in fines and reputational damage.

Source: https://cloud.google.com/blog/

Google Cloud SQL updates include Memorystore for Redis Cluster GA, enabling single shard clusters and dynamic scaling, as well as node-level metrics and OSS Autoscaler. Additionally, Bigtable is now available in the northamerica-south1 region.

Source: https://cloud.google.com/blog/

Evaluating RAG systems involves using appropriate metrics, often from predefined testing frameworks like Ragas. These frameworks measure aspects like factual accuracy, answer relevance, and content matching.

Source: https://cloud.google.com/blog/