Remove Analytics Remove Architecture Remove IoT Remove Systems Review
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Review of Industrial IoT Solutions – Part I

Perficient

It would take way too long to do a comprehensive review of all available solutions, so in this first part, I’m just going to focus on AWS, Azure – as the leading cloud providers – as well as hybrid-cloud approaches using Kubernetes. Messages are also (selectively) transferred to the cloud for analytics and global integration.

IoT 69
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Innovative data integration in 2024: Pioneering the future of data integration

CIO

This helps reduce the points of failure due to human intervention. AI-powered data integration tools leverage advanced algorithms and predictive analytics to automate and streamline the data integration process. This is crucial for extracting insights from text-based data sources like social media feeds, customer reviews, and emails.

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The New Way Companies are Harnessing Data at the Edge for Value Added in Real-Time

CIO

They are playing out across industries with the help of edge computing, Internet of Things (IoT) devices and an innovative approach known as Business Outcomes-as-a-Service. [1] In each case, they are taking strategic advantage of data generated at the edge, using artificial intelligence and cloud architecture.

IoT 315
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Minimizing Supply Chain Disruptions with Advanced Analytics

Cloudera

Toyota weathered the early chip shortage well with agile and robust supply chains, only to be caught with final assembly production shortages due to consumers rushing to their once robust availability. . Advanced analytics empower risk reduction . Improve Visibility within Supply Chains. Digital Transformation is not without Risk.

Analytics 111
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11 Key Enterprise IoT Security Recommendations

Altexsoft

As we know, the IoT will enable businesses to capture more data for deep analysis while obtaining more granular control over processes. Devices connected to the IoT have been recognized for a long time as a prime target for hackers and once you have read the article to follow, you will appreciate why. This is good news.

IoT 98
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AI adoption accelerates as enterprise PoCs show productivity gains

CIO

“Everyone is running around trying to apply this technology that’s moving so fast, but without business outcomes, there’s no point to it,” says Redmond, CIO at power management systems manufacturer Eaton Corp. “We A human reviews it to make sure it makes sense, and if it does, the AI incorporates that into the learning model,” she says.

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4 paths to sustainable AI

CIO

Use more efficient processes and architectures Boris Gamazaychikov, senior manager of emissions reduction at SaaS provider Salesforce, recommends using specialized AI models to reduce the power needed to train them. “Is For example, using ML to route IoT messages may be unwarranted; you can express the logic with a rules engine.”