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The impact of AI on edge computing

CIO

Unlike traditional centralized cloud computing, edge computing brings computation closer to the data source—whether it’s a fleet management, automated industrial machines, drone, or an autonomous vehicle. Chatbots, voice assistants, and language translation services can operate locally using NLP models. Predictive maintenance.

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Data – the Octane Accelerating Intelligent Connected Vehicles

Cloudera

As advanced use cases, like advanced driver assistance systems featuring lane change departure detection, advanced vehicle diagnostics, or predictive maintenance move forward, the existing infrastructure of the connected car is being stressed. billion in 2019, and is projected to reach $225.16 billion by 2027, registering a CAGR of 17.1%

Data 105
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What is Private Cloud Architecture: Complete Overview

OTS Solutions

Private cloud architecture is a computing model that allows organizations to create their own private and secure cloud infrastructure. Private cloud architecture refers to the design and infrastructure of a cloud computing system dedicated solely to one organization. How does Private Cloud Architecture work?

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What Is Machine Learning and How Does It Work?

Openxcell

This engaging blog post dives into the exciting world of Machine Learning, shedding light on what it is, why it matters, its history, types, core principles, and applications. By doing so, Machine Learning systems can adapt and evolve, becoming increasingly proficient at solving problems and making accurate predictions over time.

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Reinforcement Learning Explained: Overview, Comparisons and Applications in Business

Altexsoft

Data scientists train the agent on historical data with target variables (desired answers with predictive analysis) AKA labeled data. Reinforcement learning doesn’t rely on labeled datasets : The agent isn’t told which actions to take or the optimal way of performing a task. What is reinforcement learning?

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AI Product Management After Deployment

O'Reilly Media - Ideas

In traditional software engineering, precedent has been established for the transition of responsibility from development teams to maintenance, user operations, and site reliability teams. In contrast, many production AI systems rely on feedback loops that require the same technical skills used during initial development.

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Price Forecasting: Applying Machine Learning Approaches to Electricity, Flights, Hotels, Real Estate, and Stock Pricing

Altexsoft

Besides travel, price predictions find their application in various scenarios. The article describes the steps to build a price prediction solution and implementation examples in four industries. Price prediction can be formulated as a regression task. Predictive analytics. What is price forecasting and how is it done.