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How AI and IoT Solutions Can Improve Your Business

Smart Data Collective

In today’s modern era, AI and IoT are technologies poised to impact every part of the industry and society radically. In addition, as companies attempt to draw better significance from the huge datasets gathered by linked devices, the potential of AI is accelerating the wider implementation of IoT. l Improved Risk Management.

IoT 133
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How data from IoT devices is changing supply chain analytics

CIO Business Intelligence

That is changing with the introduction of inexpensive IoT-based data loggers that can be attached to shipments. The future of the supply chain is IoT-driven. Further, the tools and devices available on the market are proprietary and prone to vendor lock-in. Setting them up is a byzantine, time-consuming process.

IoT 105
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How to Manage Risk with Modern Data Architectures

Cloudera

Implementing a modern data architecture makes it possible for financial institutions to break down legacy data silos, simplifying data management, governance, and integration — and driving down costs. Financial institutions can use ML and AI to: Support liquidity monitoring and forecasting in real time.

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Streamlining supply chain management: Strategies for the future

IBM Big Data Hub

Key strategies for effective supply chain management There are a number of ways that companies can better optimize and manage their supply chains. 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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Six EAM trends pushing the oil and gas industries forward

IBM Big Data Hub

EAM systems can include functions like maintenance management, asset lifecycle management , inventory management and work order management, among others. Predictive and preventive maintenance : The advent of IoT and AI technologies has transformed EAM systems into predictive maintenance tools.

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Incorporating Artificial Intelligence for Businesses : The Modern Approach to Data Analytics

BizAcuity

Not just banking and financial services, but many organizations use big data and AI to forecast revenue, exchange rates, cryptocurrencies and certain macroeconomic variables for hedging purposes and risk management. Integrating IoT and route optimization are two other important places that use AI. AI in Finance.

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Bridging the Gap Between Industries: The Power of Knowledge Graphs – Part I

Ontotext

By linking this data, they facilitate tasks like asset management, predictive maintenance, documentation management, mission planning, risk management, aircraft design and optimization, and anomaly detection. Organizations such as GS1 promote the use of standards such as barcodes, GS1 digital link and the GS1 vocabulary.