Learn how Synthesized uses generative AI to create privacy-preserving snapshots of BigQuery datasets.

If you feel constrained by Azure Application Insights’ limitations or seek functionalities it doesn’t offer, you’ve likely begun exploring Application Insights alternatives that can better align with your application performance monitoring needs. In other cases, you may have read about the retirement of Classic Application Insights and are looking for a new platform to leverage in the same way.

Dataloader.io is a widely used tool for loading data into Salesforce, but even the most experienced users can encounter errors, especially as they start to reach the platform's limitations. Understanding these errors and knowing how to resolve them is crucial for maintaining data integrity and workflow efficiency. In this post, we'll dive into some of the most common Dataloader.io errors, their causes, and how to resolve them.

With our new dbt Cloud™ orchestration integration, automated end-to-end data integration is now at your fingertips.

The concept of time-to-market has emerged as a pivotal factor in determining success. Bringing new products, services, or features to market can make the crucial difference between seizing opportunities and falling behind. But faster tech advancements, changing consumer preferences, and global market dynamics meant that businesses need a paradigm shift in their approach to strategy. The adoption of APIs has surged, fundamental to rapid development and innovation.

It’s not hyperbole to say that generative AI (gen AI) is radically transforming the advertising, media and entertainment industry. There has been widespread excitement about the potential of gen AI to open brand-new creative opportunities and unlock unprecedented efficiencies. At the same time, there has been understandable concern about issues such as inherent bias, deep fakes and the impact of gen AI on jobs.