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Healthcare organizations must create a strong data foundation to fully benefit from generative AI

CIO

While the average person might be awed by how AI can create new images or re-imagine voices, healthcare is focused on how large language models can be used in their organizations. For healthcare organizations, what’s below is data—vast amounts of data that LLMs will have to be trained on. Consider the iceberg analogy.

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American Airlines takes flight with analytics transformation

CIO

American Airlines, the world’s largest airline, is turning to data and analytics to minimize disruptions and streamline operations with the aim of giving travelers a smoother experience. According to Reuters , more than 100,000 flights in the US were canceled between January and July, up 11% from pre-pandemic levels. Taking to the cloud.

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Bud Financial helps banks and their customers make more informed decisions using AI with DataStax and Google Cloud

CIO

Embrace scalability One of the most critical lessons from Bud’s journey is the importance of scalability. Organizations must ensure their technology stack can handle immense data flow. GKE empowers organizations to distribute applications effectively across multiple regions, maintaining performance and availability standards.

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Sports venues advance goals, enhance fan experience with data analytics

CIO

A big part of that effort involves advanced analytics to gain better insight into what’s happening at a venue in real-time so staff can respond rapidly to changing conditions. Here are three examples of how sports organizations are using analytics to gain better insights into their venues.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics. But today, dashboards and visualizations have become table stakes.

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How to manage data integration during an acquisition

CIO

Cloud-based analytics, generative AI, predictive analytics, and more innovative technologies will fall flat if not run on real-time, representative data sets. Organizations may feel the need to consolidate some of the new data they’ve acquired to better manage and glean straightforward insights, but this is not the case.

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Why Organizations Need an RPA Strategy

Sunflower Lab

Organizations must create a thorough RPA strategy that is in line with their overall business goals if they want to acquire a competitive advantage. Simply put, an RPA strategy is a detailed plan that outlines how your organization will implement RPA into its workflows. But simply implementing RPA occasionally is not enough.