£133.00

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£133 today · cheaper than every other day in the last 3 months

Accelerating Product Development Cycles With Digital Twins and IoT Integration

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Price History & Forecast

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Last 56 days · 56 data points (no recent data)

Historical
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£133.00 £126.35 £129.01 £131.67 £134.33 £136.99 £139.65 26 July 2026 08 August 2026 22 August 2026 05 September 2026 19 September 2026
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Price Distribution

Price distribution over 56 days • 1 price levels

Days at Price
56 days 0 14 28 42 56 £133 Days at Price

Price Analysis

Most common price: £133 (56 days, 100.0%)

Price range: £133 - £133

Price levels: 1 different prices over 56 days

Description

In today's market, accelerating product development cycles helps businesses gain a competitive edge and meet consumer demands. The integration of digital twins and Internet of Things (IoT) technologies has emerged as a transformative solution, enabling organizations to streamline their design, testing, and production processes. Digital twins allow real-time simulation and monitoring, providing valuable insights into performance, potential issues, and design optimizations. When coupled with IoT businesses can gather continuous feedback throughout the product lifecycle. This accelerates innovation, enhances product quality, and minimizes costs by identifying inefficiencies. By leveraging these technologies, companies can optimize their development cycles and deliver smarter, more reliable products to meet the needs of the marketplace. Accelerating Product Development Cycles With Digital Twins and IoT Integration explores the transformative potential of cutting-edge digital twin technologies in advancing data analytics and the Internet of Things (IoT). It provides a comprehensive analysis of how digital twins enable real-time monitoring, predictive insights, and enhanced decision-making by bridging the physical and digital worlds. This book covers topics such as computational engineering, algorithms, and blockchain, and is a useful resource for business owners, managers, computer engineers, academicians, researchers, and data scientists.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
08 May 2025
Listed Since
03 May 2025

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