Remove Events Remove Internet of Things Remove Predictive Analytics
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Predictive analytics vs. AI: Why the difference matters in 2023?

Data Science Dojo

Artificial Intelligence (AI) and Predictive Analytics are revolutionizing the way engineers approach their work. This article explores the fascinating applications of AI and Predictive Analytics in the field of engineering. Descriptive analytics involves summarizing historical data to extract insights into past events.

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Exploring the dynamic fusion of AI and the IoT

Dataconomy

The integration of artificial intelligence in Internet of Things introduces new dimensions of efficiency, automation, and intelligence to our daily lives. The Internet of Things refers to the network of interconnected physical devices, vehicles, appliances, and other objects embedded with sensors, software, and network connectivity.

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Beyond data: Cloud analytics mastery for business brilliance

Dataconomy

Diagnostic analytics: Diagnostic analytics goes a step further by analyzing historical data to determine why certain events occurred. By understanding the “why” behind past events, organizations can make informed decisions to prevent or replicate them.

Analytics 203
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Get Ready For These Six 2020 Business Intelligence Trends

Smart Data Collective

New data-collection technologies , like internet of things (IoT) devices, are providing businesses with vast banks of minute-to-minute data unlike anything collected before. Predictive analytics is the use of data and AI-powered algorithms to help analysts forecast the future and better predict business outcomes.

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Is Data Analytics Ushering in the Modern Age of Weather Forecasting?

Smart Data Collective

Simply put, it involves a diverse array of tech innovations, from artificial intelligence and machine learning to the internet of things (IoT) and wireless communication networks. But if there’s one technology that has revolutionized weather forecasting, it has to be data analytics. Real-Time Weather Insights.

Analytics 133
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Streamlining supply chain management: Strategies for the future

IBM Journey to AI blog

By developing contingency plans and resilient supply chains, companies can continue to operate even when unexpected events occur. Big data and predictive analytics are increasingly being used to improve forecasting accuracy, allowing businesses to respond more effectively to changes in customer needs.

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Generate actionable insights for predictive maintenance management with Amazon Monitron and Amazon Kinesis

AWS Machine Learning Blog

Predictive condition-based maintenance is a proactive strategy that is better than reactive or preventive ones. Indeed, this approach combines continuous monitoring, predictive analytics, and just-in-time action. For instance, the gatewayConnected and gatewayDisconnected events are not linked to a given asset or position.

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