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Artificial intelligence and machine learning adoption in European enterprise

O'Reilly on Data

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. As interest in machine learning (ML) and AI grow, organizations are realizing that model building is but one aspect they need to plan for.

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Architectural Patterns for real-time analytics using Amazon Kinesis Data Streams, Part 2: AI Applications

AWS Big Data

Now get ready as we embark on the second part of this series, where we focus on the AI applications with Kinesis Data Streams in three scenarios: real-time generative business intelligence (BI), real-time recommendation systems, and Internet of Things (IoT) data streaming and inferencing.

IoT 91
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The impact of AI on edge computing

CIO Business Intelligence

Enterprises are moving computing resources closer to where data is created, making edge locations ideal for not only collecting and aggregating local data but also for consuming it as input for generative processes. These servers can host AI models directly, enabling real-time inference without relying on cloud connectivity.

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Nvidia and Siemens to accelerate digital twins’ development

CIO Business Intelligence

Nvidia and Siemens are partnering to make it easier for manufacturing enterprises to build photorealistic digital twins of their products and production processes, and view and manipulate those twins in real-time. Xcelerator acceleration. We’re going to expand this over time, to build new partnerships.”.

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96 Percent of Businesses Can’t Be Wrong: How Hybrid Cloud Came to Dominate the Data Sector

Cloudera

According to 451 Research , 96% of enterprises are actively pursuing a hybrid IT strategy. By the end of the decade, companies started to offer enterprise applications over the web—Software-as-a-Service arrived. It became clear that not everything can be hosted in a public cloud for multiple reasons, including security.

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What Whirlpool’s CIO does to make its digital business models run end to end

CIO Business Intelligence

Brown recently spoke with CIO Leadership Live host Maryfran Johnson about advancing product features via sensor data, accelerating digital twin strategies, reinventing supply chain dynamics and more. The second is leveraging IoT and AI to support new digital services and new digital products that we can offer our consumers.

IT 133
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New Practices in Data Governance and Data Fabric for Telecommunications

Cloudera

for machine learning), and other enterprise policies. With the volumes of data in telco accelerating with the rapid advancement of 5G and IoT, the time is now to modernize the data architecture. .