Introducing AI-powered insights in Threat Intelligence
Google announced today at RSA Conference in San Francisco, uses the recent advancement in Large Language Models (LLMs) to address three of the biggest challenges in cybersecurity: threat overload, toilsome tools, and the talent gap. Threat intelligence is an area that suffers from all three…
Announcing API abuse detection powered by machine learning
API security incidents are increasingly common and disruptive. With the growth of API traffic, enterprises across the world are also experiencing an uptick in malicious API attacks, making API security a heightened priority. According to our latest API Security Research Report, 50% of organizations surveyed have …
Built with BigQuery: How Mercari US turned BigQuery into an ML-powered customer-growth machine
When peer-to-peer marketplace Mercari came to the US in 2014, it had its work cut out for it. Surrounded by market giants like eBay, Craigslist, and Wish, Mercari needed to carve out an approach to compete for new users. Furthermore, Mercari wanted to build a network for…
Supercharging security with generative AI
Google Cloud continue to invest in key technologies to progress towards our true north star on invisible security: making strong security pervasive and simple for everyone. Our investments are based on insights from our world-class threat intelligence teams and experience helping customers respond to the most sophisticated cyberattacks. Customers…
Introducing vertical autoscaling for batch Dataflow Prime jobs
Addressing out-of-memory errors in batch Dataflow Prime jobs While Dataflow is a reliable service, and supports pipelines that have been running for years unchanged, there are situations where workers may experience memory issues, leading to out-of-memory (OOM) errors. In the current system, when a work…
Unify your data assets with an open analytics lakehouse
For over a decade, the technology industry has searched for ways to store and analyze vast amounts of data that can handle an organization’s volume, latency, resilience, and varying data access requirements. Companies have been making the best of existing technology stacks to tackle these…
How Dataplex can improve data auditing, security, and access management
Data is one of the most important assets of any enterprise. It is essential for making informed decisions, improving efficiency, and providing a competitive edge. However, managing data comes with the responsibility of preventing data misuse. Especially in regulated industries, mishandling data can lead to…
Best practices of orchestrating Notebooks on Serverless Spark
Data Scientists process data and run machine learning workflows via various distributed processing frameworks and interactive collaborative computing platforms, such as Project Jupyter and Apache Spark. Orchestrating all these workflows is usually done via Apache Airflow. However, some challenges exist when running enterprise-grade Data Science…
Track Your Cloud Costs with BigQuery for Easy Analysis
Mark MirchandaniGoogle Cloud Developer Advocate Export your billing data to BigQuery to keep track of your cloud costs Regular file export for Google Cloud billing is going away on May 15th! Try out this interactive tutorial to set up exporting and explore your billing data with BigQuery…
Introducing BigQuery Partner Center — a new way to discover and leverage integrated partner solutions
Google are committed to building the most open and extensible Data Cloud. Google want to provide our customers with more flexibility, interoperability and agility when building analytics solutions using BigQuery and tightly integrated partner products. Google have therefore significantly expanded our Data Cloud partner ecosystem, and are…
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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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