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Reducing administrative burden in the healthcare industry with AI and interoperability

IBM Journey to AI blog

When combined with artificial intelligence (AI), an interoperable healthcare data platform has the potential to bring about one of the most transformational changes in history to US healthcare, moving from a system in which events are currently understood and measured in days, weeks, or months into a real-time inter-connected ecosystem.

AI 295
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How to choose the best AI platform

IBM Journey to AI blog

These development platforms support collaboration between data science and engineering teams, which decreases costs by reducing redundant efforts and automating routine tasks, such as data duplication or extraction. Store operating platform : Scalable and secure foundation supports AI at the edge and data integration.

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Principal Financial Group uses AWS Post Call Analytics solution to extract omnichannel customer insights

AWS Machine Learning Blog

In this post, we demonstrate how data aggregated within the AWS CCI Post Call Analytics solution allowed Principal to gain visibility into their contact center interactions, better understand the customer journey, and improve the overall experience between contact channels while also maintaining data integrity and security.

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A brief history of Data Engineering: From IDS to Real-Time streaming

Artificial Corner

Cloud-based data storage solutions, such as Amazon S3 (Simple Storage Service) and Google Cloud Storage, provide highly durable and scalable repositories for storing large volumes of data. The integration of AI and ML into data engineering pipelines enables a wide range of applications. Morgan Kaufmann. Morgan Kaufmann.

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Learnings From Building the ML Platform at Mailchimp

The MLOps Blog

There was the team that I was on, where we were very intensely focused on making tools and setting up the environment for development and training for data scientists, as well as helping out with the actual productionization work. They started off as doing data integrations, and then became the ML monitoring team.

ML 52