How our commitment to open source unlocks AI and ML innovation
Google believe anyone should be able to quickly and easily turn their artificial intelligence (AI) idea into reality. Open source software (OSS) has become increasingly important to this goal, heavily influencing the pace of innovation in AI and machine learning (ML) ecosystems. Over the last…
Moving to Log Analytics for BigQuery export users
If you’ve already centralized your log analysis on BigQuery as your single pane of glass for logs & events…congratulations! You’re already benefiting from BigQuery’s: Petabyte-scale cost-effective analytics, Analyzing heterogeneous data across multi-cloud & hybrid environments, Running on fully-managed serverless data warehouse with enterprise security features, Democratizing analytics…
Building Large Scale Recommenders using Cloud TPUs
Introduction Personalized recommender systems are used widely for offering the right products or content to the right users. Some examples of such systems are video recommendations (“What to Watch Next”) on YouTube, Google Play Store app recommendations and similar services offered by other app stores…
Introducing gcloud storage: up to 94% faster data transfers for Cloud Storage
Cloud Storage customers often ask us about the fastest way to ingest and retrieve data from their buckets. Getting the best performance often requires the users to know the right flags and parameters to optimize transfer speeds. In many situations, customers are using Cloud Storage…
Streamline your models to production with the Vertex AI Model Registry
Machine learning (ML) is iterative in nature — model improvement is a necessity to drive the best business outcomes. Yet, with the proliferation of model artifacts, it can be difficult to ensure that only the best models make it into production. Data science teams may…
Built with BigQuery: How Tinyclues and Google Cloud deliver the CDP capabilities that marketers need
What are Customer Data Platforms (CDPs) and why do we need them? Today, customers utilize a wide array of devices when interacting with a brand. As an example, think about the last time you bought a shirt. You may start with a search on your…
How to secure APIs against fraud and abuse with reCAPTCHA Enterprise and Apigee X
A comprehensive API security strategy requires protection from fraud and abuse. To better protect our publicly-facing APIs from malicious software that engages in abusive activities, we can deploy CAPTCHAs to disrupt abuse patterns. Developers can prevent attacks, reduce their API security surface area, and minimize…
Google is a Leader in Gartner Magic Quadrant for Cloud Infrastructure and Platform Services
For the fifth consecutive year, Gartner® has named Google a Leader in the 2022 Gartner Magic Quadrant™ for Cloud Infrastructure and Platform Services. Over the past year, we have continued to invest in platform and go-to-market capabilities that have an immediate impact on the speed and…
Cloud Ace Renews Specialization Training Certification for Google Cloud Data Analysis
Cloud Ace, Inc. (Headquarters: Chiyoda-ku, Tokyo; President: Makoto Aoki) announced on October 19, 2022, that they have renewed their specialization training certification for the data analysis field in the Google Cloud Partner Advantage program. Cloud Ace was the first Google Cloud partner in Japan to…
Cloud Ace Establishes Its First Subsidiary in India
Built as the foundation for expansion in Asian markets with Google Cloud On June 30, 2022, Cloud Ace Inc. (headquarters: Chiyoda-ku, Tokyo; President and CEO: Makoto Aoki; hereafter “Cloud Ace”) announced the establishment of a new subsidiary in India. India is the second most important…
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Recent Posts
- Find key insights with contribution analysis in BigQuery ML
- Secure your data ecosystem: a multi-layered approach with Google Cloud
- Gemini for Google Workspace now supports additional languages
- 5 ways small business owners can use Gemini for Workspace to plan for the holiday season and New Year
- Vertex AI grounding: More reliable models, fewer hallucinations
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