Remove Artificial Intelligence Remove Big Data Remove Healthcare Remove Real-time Data
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5 Current Trends in Big Data for 2022 and Beyond

Smart Data Collective

The world of big data is constantly changing and evolving, and 2021 is no different. As we look ahead to 2022, there are four key trends that organizations should be aware of when it comes to big data: cloud computing, artificial intelligence, automated streaming analytics, and edge computing.

Big Data 352
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Using Artificial Intelligence to Make Sense of IoT Data

BizAcuity

There is a coherent overlap between the Internet of Things and Artificial Intelligence. IoT is basically an exchange of data or information in a connected or interconnected environment. AI is about simulating intelligent behavior in machines that carry out tasks ‘smartly’. and constantly report this data to backend.

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Data Vault 2.0: What You Need to Know

Astera

It’s designed to efficiently handle and process vast volumes of diverse data, providing a unified and organized view of information. With its ability to adapt to changing data types and offer real-time data processing capabilities, it empowers businesses to make timely, data-driven decisions.

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Wi-Fi Connectivity Issues Impede Data-Driven Healthcare Models

Smart Data Collective

Analytics technology has transformed the healthcare industry in recent years. Healthcare organizations are projected to spend over $80 billion on analytics services by 2028. There are many benefits of leveraging analytics in healthcare. These problems become more pronounced when healthcare providers have Wi-Fi problems.

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Why is AIOps an Industrial Benchmark for Organizations to Scale in this Economy?

GAVS Technology

Artificial Intelligence for IT Operations (AIOps) is a platform that provides multilayers of functionalities that leverage machine learning and analytics. Gartner defines AIOps as a combination of big data and machine learning functionalities that empower IT functions, enabling scalability and robustness of its entire ecosystem.

Vision 52
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What Is Ad Hoc Reporting? Your Guide To Definition, Meaning, Examples & Benefits

Data Pine

Ad hoc reporting, also known as one-time ad hoc reports, helps its users to answer critical business questions immediately by creating an autonomous report, without the need to wait for standard analysis with the help of real-time data and dynamic dashboards. Artificial intelligence features.

Retail 104
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What is a Data Pipeline?

Insight Software

Streaming data pipelines enable organizations to gain immediate insights from real-time data and respond quickly to changes in their environment. They are commonly used in scenarios such as fraud detection, predictive maintenance, real-time analytics, and personalized recommendations.