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4 paths to sustainable AI

CIO Business Intelligence

The size of the data sets is limited by business concerns. Use renewable energy Hosting AI operations at a data center that uses renewable power is a straightforward path to reduce carbon emissions, but it’s not without tradeoffs. Data analytics lead Diego Cáceres urges caution about when to use AI.

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Deciphering the Pros & Cons of Real-Time Data Streaming

Smart Data Collective

The data architecture assimilates and processes sizable volumes of streaming data from different data sources. This very architecture ingests data right away while it is getting generated. Data streaming in real-time enables an organization to act in the moment, which eventually enables it to prosper.

IoT 110
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Understanding Digital Interactions in Real-Time

CIO Business Intelligence

But this glittering prize might cause some organizations to overlook something significantly more important: constructing the kind of event-driven data architecture that supports robust real-time analytics. It’s no surprise that the event-based paradigm has had a big impact on what today’s software architectures look like.

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Meet the newest Data Superheros: The Sixth Annual Data Impact Awards Finalists Are…

Cloudera

These thought leaders in data management and analytics represent all areas of the industry from executives and industry analysts to professors and media experts. However, this year, it is evident that the pace of acceleration to modern data architectures has intensified. ” – Cornelia Levy-Bencheton. .”

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How Cargotec uses metadata replication to enable cross-account data sharing

AWS Big Data

Cargotec captures terabytes of IoT telemetry data from their machinery operated by numerous customers across the globe. This data needs to be ingested into a data lake, transformed, and made available for analytics, machine learning (ML), and visualization. The job runs in the target account.