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Why Data Foundations Matter for AI Innovation

Jen Stirrup

At the SAP Sapphire conference this year, SAP executives, including CEO Christian Klein, highlighted the unifying power of SAP’s comprehensive suite of enterprise applications, context-aware data, and top-tier Business AI. Of course, Agents were a key part of the discussion – and Agents are everywhere, the latest buzzword.

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Key Data Trends And Forecasts In The Energy Sector

Smart Data Collective

With the Coronavirus pandemic, the world has been thrown into complete uncertainty. According to a new study called Global Big Data Analytics in the Energy Sector Market, provides a comprehensive look at the industry. The uncertainty comes with a major market shift, the dimensions of data software cannot be ignored.

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Turning the page

Cloudera

Datacoral powers fast and easy data transformations for any type of data via a robust multi-tenant SaaS architecture that runs in AWS. Said simply, Datacoral offers a fully-managed service for worry-free data integrations.

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Don’t get left in the dark with SAP PowerDesigner: Keep the lights on with erwin

erwin

Limited connectivity PowerDesigners restrictions on data-platform integration will hinder your ability to adapt and scale. Data integrity risks Relying on a defunct tool puts data consistency and security in jeopardy. And all this risk and uncertainty couldnt come at a worse time.

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CIO insights: What’s next for AI in the enterprise?

CIO Business Intelligence

“Our biggest blocker to unleashing the power of AI is uncertainty over the integrity of the dataset it’s working from,” Dan Cohen, CIO and director of operations at The Amenity Collective, says in the report.

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Is an integrated ERP suite or a composable ERP strategy right for you?

CIO Business Intelligence

Today’s business climate is rife with economic uncertainty that is causing IT leaders to do more with less while still innovating to support the business. At Rimini Street, we believe that all businesses can benefit from a composable ERP strategy thanks to the abundance of SaaS platforms and data integration solutions.

Strategy 105
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Bridging the Gap: How ‘Data in Place’ and ‘Data in Use’ Define Complete Data Observability

DataKitchen

Bridging the Gap: How ‘Data in Place’ and ‘Data in Use’ Define Complete Data Observability In a world where 97% of data engineers report burnout and crisis mode seems to be the default setting for data teams, a Zen-like calm feels like an unattainable dream.

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