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Straumann Group is transforming dentistry with data, AI

CIO Business Intelligence

Digitizing was our first stake at the table in our data journey,” he says. That step, primarily undertaken by developers and data architects, established data governance and data integration. That step, primarily undertaken by developers and data architects, established data governance and data integration.

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How the BMW Group analyses semiconductor demand with AWS Glue

AWS Big Data

To enable this use case, we used the BMW Group’s cloud-native data platform called the Cloud Data Hub. In 2019, the BMW Group decided to re-architect and move its on-premises data lake to the AWS Cloud to enable data-driven innovation while scaling with the dynamic needs of the organization.

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Exploring the AI and data capabilities of watsonx

IBM Big Data Hub

Watsonx.data is built on 3 core integrated components: multiple query engines, a catalog that keeps track of metadata, and storage and relational data sources which the query engines directly access. ” Raman Venkatraman, CEO of STL Digital Watsonx.data is truly open and interoperable.

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Databricks’ Data+AI Summit 2022: A Show of Partner “Unity”

Alation

Automatically tracking data lineage across queries executed in any language. To ensure you can deliver on this world-changing vision of data, Alation helps you maximize the value of your data lake with integrations to the Unity catalog. The Power of Partnership to Accelerate Data Transformation. Conclusion.

ROI 52
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Lay the groundwork now for advanced analytics and AI

CIO Business Intelligence

Model, understand, and transform the data Comcast faced the challenge of collecting large amounts of information about potential security and reliability issues but with no easy way to make sense of it all, says Noopur Davis, corporate EVP, CISO, and chief product privacy officer.

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How smava makes loans transparent and affordable using Amazon Redshift Serverless

AWS Big Data

To bring their customers the best deals and user experience, smava follows the modern data architecture principles with a data lake as a scalable, durable data store and purpose-built data stores for analytical processing and data consumption.