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The Internet of Things: Real-Time Data and Analytics Enable Business Innovation

David Menninger's Analyst Perspectives

The emerging internet of things (IoT) is an extension of digital connectivity to devices and sensors in homes, businesses, vehicles and potentially almost anywhere.

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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

Over the past decade, business intelligence has been revolutionized. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. 2019 was a particularly major year for the business intelligence industry. Source: Business Application Research Center *.

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The Future of Machine Learning in Cybersecurity

CIO Business Intelligence

Machine learning (ML) is a commonly used term across nearly every sector of IT today. And while ML has frequently been used to make sense of big data—to improve business performance and processes and help make predictions—it has also proven priceless in other applications, including cybersecurity.

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Business Intelligence Trends: Pathway to Command Future

FineReport

This makes cutting-edge analysis and business intelligence strategies one of the best advantages companies can have. The more you know about business intelligence trends, the more accurate decision-making you will make. Business intelligence trends to future. State of Business Intelligence trends.

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Historical Databases: Becoming a Thing of the Past?

David Menninger's Analyst Perspectives

Data now streams into organizations from myriad sources, among them social media feeds and internet-of-things devices. These seemingly ever-increasing volumes of devices and data streams offer both challenges and opportunities to capture information about a business and improve its operations.

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Glossary of Digital Terminology for Career Relevance

Rocket-Powered Data Science

AGI (Artificial General Intelligence): AI (Artificial Intelligence): Application of Machine Learning algorithms to robotics and machines (including bots), focused on taking actions based on sensory inputs (data). Examples: (1-3) All those applications shown in the definition of Machine Learning. (4)

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Don’t Rely on Dashboards for Real-Time Analytics

David Menninger's Analyst Perspectives

Another domain where real-time analyses are critical is internet of things (IoT) applications. Location-based offers should be targeted at the customer’s current location, not their location several minutes ago.