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Intelligent Cloud: Machine Learning Integration in the Cloud

Dzone - DevOps

Today, artificial intelligence-powered machine learning (ML) and data analytics solutions are high in demand by companies in almost every area, whether it’s the financial sector, power industry, retail, healthcare, technology, or telecommunications.

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P&G turns to AI to create digital manufacturing of the future

CIO

The new IIoT platform uses machine telemetry and high-speed analytics to continuously monitor production lines to provide early detection and prevention of potential issues in the material flow. This, in turn, improves cycle time, reduces network losses, and ensures quality, all while improving operator productivity.

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Enhancing the Business Strategy with Data Engineering Solutions

Trigent

For example, McDonald’s collaborated with data engineering firms to automate verbal order intake via machine learning and natural language processing (NLP). McDonald deployed and implemented business intelligence and analytics systems to overcome most challenges for decision support. How data engineering consulting helps.

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AIOps and our Robot Kubernetes Kops

Linux Academy

While Machine Learning is just a subset of true Artificial Intelligence vendors of infrastructure automation have coined a new buzz acronym, AIOps. On the heals of the still wet DevOps movement we are introduced to the new era of DevOps that reaches beyond pipeline automation and into the realm of pipeline evolution.

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5 Essential Technologies to get your Distributed Enterprise Future Ready

Trigent

Be it in a user’s hands, PoS (Point of Sale) at a retail counter, manufacturing assembly line, or CSP (cellular service provider), the edge has moved closest to the point where it needs to be. Real-time monitoring and analytics are logged for a supervisor to check and intervene if necessary.

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Hyperautomation to Unlock Business Efficiency and Agility

Trigent

The benefits are undeniable whether you work in manufacturing, healthcare, financial services, retail, or government. Data-Driven Insights : End-to-End automation leverages artificial intelligence and machine learning technologies to analyze and make decisions based on large amounts of data.

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Apiumhub among top IT industry leaders in Code Europe event

Apiumhub

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.