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

CIO Business Intelligence

CIOs are under increasing pressure to deliver AI across their enterprises – a new reality that, despite the hype, requires pragmatic approaches to testing, deploying, and managing the technologies responsibly to help their organizations work faster and smarter. The top brass is paying close attention.

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Avoid generative AI malaise to innovate and build business value

CIO Business Intelligence

However such fear, uncertainty, and doubt (FUD) can make it harder for IT to secure the necessary budget and resources to build services. Ensure that data is cleansed, consistent, and centrally stored, ideally in a data lake. Data preparation, including anonymizing, labeling, and normalizing data across sources, is key.

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Data Teams and Their Types of Data Journeys

DataKitchen

Data Teams and Their Types of Data Journeys In the rapidly evolving landscape of data management and analytics, data teams face various challenges ranging from data ingestion to end-to-end observability. It explores why DataKitchen’s ‘Data Journeys’ capability can solve these challenges.

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Ahead of the curve: How generative AI is revolutionizing the content supply chain

IBM Big Data Hub

Modernizing a workflow to introduce a content supply chain means disruption and uncertainty. These new technologies can garner a lot of power and a level of uncertainty. But it also means creating an end-to-end content journey that is fast and accurate and, ultimately, meets customers at the level of their expectations.

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Turning the page

Cloudera

We are leading the way with CDP – the industry’s first Enterprise Data Cloud, and the only true hybrid and multi-cloud solution purpose-built to address the complete data lifecycle – from the Edge to AI. And, the Enterprise Data Cloud category we invented is also growing. Our strategy.

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iostudio delivers key metrics to public sector recruiters with Amazon QuickSight

AWS Big Data

Given the limitations of the static PDF charts used for its recruitment marketing data, we recognized the opportunity to introduce real-time interactive dashboards to improve insights needed to drive recruitment marketing initiatives. With AWS, we aren’t forced to pay for a bundle with services that we don’t use.

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How CFOs Can Lead With Foresight

Jedox

The unprecedented uncertainty forced companies to make critical decisions within compressed time frames. Build for broad and deep data integration. Old pre-crisis planning took historic company data like aggregated product sales and applied run-rates. This placed an acute spotlight on planning agility. Conclusion.