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7 enterprise data strategy trends

CIO Business Intelligence

Every enterprise needs a data strategy that clearly defines the technologies, processes, people, and rules needed to safely and securely manage its information assets and practices. Here’s a quick rundown of seven major trends that will likely reshape your organization’s current data strategy in the days and months ahead.

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How organizations can successfully measure an application health monitoring process

IBM Big Data Hub

Seven metrics that identify the relative success of your application health monitoring process Organizations need to have a comprehensive plan to ensure the health of their applications, but one key component of any application health monitoring process is data collection. Applications fail or underperform for many different reasons.

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CIOs can and should play a pivotal role in ESG strategy

CIO Business Intelligence

This article was co-authored by Katherine Kennedy , an Associate at Metis Strategy. The ability to provide transparent, data-driven insights and measure progress toward ESG commitments makes the technology leader critical to the success of any ESG strategy. Smarter operations through integrated data and analytics.

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How HR&A uses Amazon Redshift spatial analytics on Amazon Redshift Serverless to measure digital equity in states across the US

AWS Big Data

The counties that are in lighter shades represent limited survey responses and need to be included in the targeted data collection strategy. Finally, the dashboard’s user-friendly interface made survey data more accessible to a wider range of stakeholders. The first image shows the dashboard without any active filters.

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Analytics Insights and Careers at the Speed of Data

Rocket-Powered Data Science

Focus on specific data types: e.g., time series, video, audio, images, streaming text (such as social media or online chat channels), network logs, supply chain tracking (e.g., RFID), inventory monitoring (SKU / UPC tracking).

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Benefits of High-Resolution Lidar Data for Data-Driven Companies

Smart Data Collective

To get the range data from this technology, you will start by projecting a laser beam at a surface or an object. Then, measure the time it takes for the reflected beam of light to reach the receiver. Due to the high accuracy that Lidar data are known for, many people adopt them for various applications.

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Tackling Bias in AI Translation: A Data Perspective

Smart Data Collective

Let us uncover its implications in AI translation and discover effective strategies to combat them. This bias can emerge due to multiple factors, such as the training data, algorithmic design, and human influence. Identifying such disparities and understanding the underlying causes to develop targeted mitigation strategies is crucial.

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