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8 data strategy mistakes to avoid

CIO Business Intelligence

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. Unfortunately, the road to data strategy success is fraught with challenges, so CIOs and other technology leaders need to plan and execute carefully. What are the goals for leveraging unstructured data?”

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Streamlining supply chain management: Strategies for the future

IBM Big Data Hub

The pandemic and its aftermath highlighted the importance of having a robust supply chain strategy , with many companies facing disruptions due to shortages in raw materials and fluctuations in customer demand. Here’s how companies are using different strategies to address supply chain management and meet their business goals.

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3 business benefits of stronger security using Zero Trust principles

CIO Business Intelligence

Operational technology (OT) organizations face increasing challenges when it comes to cybersecurity. continues to roll out, the internet of things (IoT) is expanding, and manufacturing organizations are using the latest technologies to scale. The second business benefit is cost savings. As Industry 4.0

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The strategy behind becoming a manufacturing superpower

CIO Business Intelligence

The world of manufacturing is undergoing a quiet revolution: the integration of Operational Technology (OT) and Information Technology (IT). For decades, businesses have focused on IT development, while OT has trailed decades behind in technological advancement. Liu Chao, CEO of Huawei’s Manufacturing and Large Enterprise BU.

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Asset lifecycle management strategy: What’s the best approach for your business?

IBM Big Data Hub

Here’s what you need to know in order to build a successful strategy. The following are the six stages of asset lifecycle management: Planning: In the first stage of the asset lifecycle, stakeholders assess the need for the asset, its projected value to the organization and its overall cost. What is an asset?

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Innovative data integration in 2024: Pioneering the future of data integration

CIO Business Intelligence

This article focuses on how these advancements are paving the way for data integration for the years to come in this ever-so-dynamic technological era. AI-powered data integration One of the most promising advancements in data integration is the integration of artificial intelligence (AI) and machine learning (ML) technologies.

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Improving Fleet Management with Blockchain Technology

Smart Data Collective

As the logistics sector continues to expand and evolve, blockchain technology is becoming an integral part of supply chain procedures. Its implementation offers numerous benefits and applications that streamline operations and enhance efficiency. Look at the top blockchain benefits and how they improve fleet management.