Cloud Computing

In our previous post, we explored how integrating Gretel with BigQuery DataFrames streamlines synthetic data generation while preserving data privacy. To recap, BigQuery DataFrames is a Python client for BigQuery, providing pandas-compatible APIs with computations pushed down to BigQuery. Gretel offers a comprehensive toolbox for synthetic data generation using cutting-edge machine learning techniques, including large […]

After careful consideration, we have made the decision to end support for AWS Copilot CLI, effective February 3, 2025. Effective November 4, 2024, AWS Copilot CLI is in maintenance mode and will only receive critical bug fixes and security updates until it reaches end-of-support on February 3, 2025. Existing applications that use this CLI will

Editors note: Today we’re hearing from Oz Ural, Product Lead at Elia Group, about the Group’s innovative approach to measuring and forecasting the CO2 intensity of electricity across their grid. This is helping businesses make informed decisions about their energy consumption.  The energy sector is facing huge, exciting challenges. The transition from fossil fuels to

In the demanding world of federal software development, teams are constantly challenged to deliver innovative solutions while upholding the highest security standards. The complexity of scaling teams, managing infrastructure, and ensuring consistent development environments can quickly become overwhelming. In a recent webinar featuring Forrester, Devin Dickerson, Principal Analyst at Forrester, discussed the results of a

Editor’s note: Today’s post is by Etienne Grivelet, Chief Technology Officer for Delfingen Group, a global supplier and manufacturer for the automotive industry. As part of its digital transformation plans, Delfingen has adopted ChromeOS, Chrome Enterprise, Google Workspace, Cameyo, and Google Cloud. How can a global automotive product manufacturing company, with employees spread across borders,

In the rapidly evolving landscape of artificial intelligence, enterprise AI engineering teams must constantly seek cutting-edge solutions to drive innovation, enhance productivity, and maintain a competitive edge. In leveraging an AI observability and evaluation platform like Arize AI with the advanced capabilities of Google’s suite of AI tools, enterprises looking to push the boundaries of