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Telcos to spend $20B on AI network orchestration by 2028

AI News

Telecom companies are expected to increase their spending on AI for automating network management to $20 billion by 2028, a new report from Juniper Research found. The post Telcos to spend $20B on AI network orchestration by 2028 appeared first on AI News.

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Fetch.ai and Deutsche Telekom partner to converge AI and blockchain

AI News

See also: Telcos to spend $20B on AI network orchestration by 2028 Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. Deutsche Telekom and Fetch.ai

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A Beginner’s Guide to Asset Performance Management (APM)

Unite.AI

billion by 2028. Some of the APM strategies employed for this include: Predictive Maintenance: By using modern AI/ML capabilities to analyze big data , this strategy can monitor an asset’s health and forecast maintenance. It provides a strategic approach to increase the efficient use of industrial assets.

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Using AI-Mechanized Hyperautomation for Organizational Decision Making

Unite.AI

Central to deep learning is the ML-based Neural Network algorithms, which have dramatically revolutionized the decision-making process at discrete data points on a quantum scale. It penetrates the big data—data input that is voluminous, scattered, and incomplete.

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What is Machine Learning as a Service? Benefits And Top MLaaS Platforms

Marktechpost

billion globally by 2028, expanding at an annual growth rate (CAGR) of 31.6% between 2018 and 2028. Global Market and Impact so far ReportLinker, a market research provider, predicts that the machine learning as a service market will grow to $36.2

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A Beginner’s Guide to Data Warehousing

Unite.AI

In this digital economy, data is paramount. Today, all sectors, from private enterprises to public entities, use big data to make critical business decisions. However, the data ecosystem faces numerous challenges regarding large data volume, variety, and velocity. Enter data warehousing! billion in 2019.

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How AI Helps Retailers With Price Optimization

Dlabs.ai

billion by 2028. Artificial intelligence helps retailers analyze big data , meaning they can run better marketing campaigns, improve logistics, and, of course, optimize prices. The market for artificial intelligence-based solutions in retail is expected to hit $24.1 Why such growth?