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Automate Document Processing With Document AI For Government

  • November 1, 2022
  • atinatin.com Team
The Challenge Many government agencies remained overwhelmed with paper, even as the pandemic drove digitization and modernization. As a result, government agencies continue to look for better ways to streamline…
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New AI Agents Can Drive Business Results Faster: Translation Hub, Document AI, And Contact Center AI

  • November 1, 2022
  • atinatin.com Team
When it comes to the adoption of artificial intelligence (AI), we have reached a tipping point. Technologies that were once accessible to only a few are now broadly available. This…
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Benchmarking Your Dataflow Jobs For Performance, Cost And Capacity Planning

  • October 24, 2022
  • atinatin.com Team
Calling all Dataflow developers, operators and users…So you developed your Dataflow job, and you’re now wondering how exactly will it perform in the wild, in particular: How many workers does…
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Introducing Vertical Autoscaling In Streaming Dataflow Prime Jobs

  • September 19, 2022
  • atinatin.com Team
Dataflow has provided a number of capabilities to improve utilization and efficiency by automatically provisioning and scaling resources for your job. The following are some of the examples: Horizontal Autoscaling…
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Introducing Batch, A New Managed Service For Scheduling Batch Jobs At Any Scale

  • July 26, 2022
  • atinatin.com Team
Today, we’re excited to announce the Preview release of our fully managed service, Batch, which provides easy access to Google Cloud’s computing power and scale. Batch processing is as old…
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Simplify Data Processing And Data Science Jobs With Serverless Spark, Now Available On Google Cloud

  • February 13, 2022
  • atinatin.com Team
Most businesses today choose Apache Spark for their data engineering, data exploration and machine learning use cases because of its speed, simplicity and programming language flexibility. However, managing clusters and…
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