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Workato Joins AWS Partner Network and Releases AI For Data Analytics

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Workato, a global leader in enterprise automation, has joined the AWS Partner Network. As part of AWS AI for Data Analytics (AIDA), Workato has also integrated predictive analytics into mainstream analytics workspaces. Domain specialists with no technical expertise can leverage artificial intelligence (AI) and machine learning (ML) with Amazon Web Services AIDA Partners.

In conjunction with the release, Workato has also unveiled AI/ML Connector, which integrates data sources into Amazon Sagemaker, and AI/ML Accelerator, which offers packaged Recipes and reference architectures to address key AI/ML use cases like customer churn.

Markus Zirn, SVP of Strategy & Business Development at Workato, said, “We are very excited to join APN and enhance the value our joint customers already enjoy. It’s an absolute privilege to be a launch partner for AWS AIDA. We see organizations across the enterprise bringing the power of AI and ML to their business analysts and know the impact AWS AIDA enables will be massive.”

Business and IT organizations may use Workato to harness the power of enterprise automation across their entire app stack. Cognizant and PK Global are working closely with Workato to deliver AI and ML value to joint customers through the Workato platform. Integrates with leading technologies in the cloud and on-premises and offers a large number of pre-built connectors. With this approach, companies can automate processes based on insights, including autoML jobs in Amazon SageMaker. AWS and Workato provide enterprises with a way to aggregate, leverage, and act on the massive amount of big data being generated across the enterprise.

Customer demands are changing, and business leaders are under increasing pressure to do more with their corporate data, necessitating investments in AI and machine learning technologies. However, these technologies, as well as the processes required to integrate them into a company’s existing tools, have typically necessitated the use of specialist experts.


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