Remove Cost-Benefit Remove Data Lake Remove Internet of Things Remove IoT
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Using Artificial Intelligence to Make Sense of IoT Data

BizAcuity

There is a coherent overlap between the Internet of Things and Artificial Intelligence. IoT is basically an exchange of data or information in a connected or interconnected environment. As IoT devices generate large volumes of data, AI is functionally necessary to make sense of this data.

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Achieving Trusted AI in Manufacturing

Cloudera

But with this data — along with some context about the business and process — manufacturers can leverage AI as a key building block to develop and enhance operations. There are many functional areas within manufacturing where manufacturers will see AI’s massive benefits. Eliminate data silos. That is a very low number.

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Apache Iceberg optimization: Solving the small files problem in Amazon EMR

AWS Big Data

In our previous post Improve operational efficiencies of Apache Iceberg tables built on Amazon S3 data lakes , we discussed how you can implement solutions to improve operational efficiencies of your Amazon Simple Storage Service (Amazon S3) data lake that is using the Apache Iceberg open table format and running on the Amazon EMR big data platform.

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Snowflake: Data Ingestion Using Snowpipe and AWS Glue

BizAcuity

This typically requires a data warehouse for analytics needs that is able to ingest and handle real time data of huge volumes. Snowflake is a cloud-native platform that eliminates the need for separate data warehouses, data lakes, and data marts allowing secure data sharing across the organization.

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P&G turns to AI to create digital manufacturing of the future

CIO Business Intelligence

The partners say they will create the future of digital manufacturing by leveraging the industrial internet of things (IIoT), digital twin , data, and AI to bring products to consumers faster and increase customer satisfaction, all while improving productivity and reducing costs. Smart manufacturing at scale.

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Keys to Ensure that Data isn’t Slowing Down your Innovation Efforts

Cloudera

Data Lifecycle Management: The Key to AI-Driven Innovation. In digital transformation projects, it’s easy to imagine the benefits of cloud, hybrid, artificial intelligence (AI), and machine learning (ML) models. The hard part is to turn aspiration into reality by creating an organization that is truly data-driven. technologies.

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Snowflake: Data Ingestion Using Snowpipe and AWS Glue

BizAcuity

This typically requires a data warehouse for analytics needs that is able to ingest and handle real time data of huge volumes. Snowflake is a cloud-native platform that eliminates the need for separate data warehouses, data lakes, and data marts allowing secure data sharing across the organization.