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The Financial Lens: Data-Driven Insights for Publishing Success

Kitaboo

Much like Bloomberg uses AI to identify patterns and prevent fraud in its financial operations, and The New York Times leverages AI to provide personalization, other publishing businesses must also follow suit and leverage their Big Data towards financial enlightenment.

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What is a data engineer? An analytics role in high demand

CIO Business Intelligence

Data engineers must also know how to optimize data retrieval and how to develop dashboards, reports, and other visualizations for stakeholders. Depending on the organization, they may also be responsible for communicating data trends.

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A CTO’s Guide To The Top Federal Technology Topics of 2013

CTOvision

The really interesting stories, at least from a CTO perspective, are big technology mega trends that are forcing change and positive improvements in enterprise IT. Enterprise Data Hub : This could be the number one trend in data. This is the big data news of 2013, from a technology perspective.

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What is a data engineer? An analytics role in high demand

CIO Business Intelligence

Data engineers must also know how to optimize data retrieval and how to develop dashboards, reports, and other visualizations for stakeholders. Depending on the organization, data engineers may also be responsible for communicating data trends. Data engineer vs. data architect.

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It’s Time to Demystify Hybrid Clouds

CIO Business Intelligence

Kicking off the summit, the futurist Anat Baron will preview the biggest technology trends in the post-pandemic world. An analysts panel will identify cloud trends with transformational impact. Later, Baron will take questions about the next great transformation in a live discussion with attendees.

Cloud 109
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Innovative data integration in 2024: Pioneering the future of data integration

CIO Business Intelligence

In the age of big data, where information is generated at an unprecedented rate, the ability to integrate and manage diverse data sources has become a critical business imperative. Traditional data integration methods are often cumbersome, time-consuming, and unable to keep up with the rapidly evolving data landscape.

Data 76
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Beyond data: Cloud analytics mastery for business brilliance

Dataconomy

The modern corporate world is more data-driven, and companies are always looking for new methods to make use of the vast data at their disposal. It’s not simply a trend; it’s a game-changer. Cloud analytics is the art and science of mining insights from data stored in cloud-based platforms.

Cloud 81