Remove Interactive Remove Internet of Things Remove IoT Remove Risk
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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 132
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Architectural Patterns for real-time analytics using Amazon Kinesis Data Streams, Part 2: AI Applications

AWS Big Data

Now get ready as we embark on the second part of this series, where we focus on the AI applications with Kinesis Data Streams in three scenarios: real-time generative business intelligence (BI), real-time recommendation systems, and Internet of Things (IoT) data streaming and inferencing. You do this by using the PutEvents API.

IoT 92
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How Secure Are Your IoT Assets?

CDW Research Hub

Securing your IoT devices is more important than ever, especially if your critical infrastructure is tied to industrial control systems. The recent SolarWinds cyberattack is just one recent example of this, and should put any organization whose critical infrastructure and industrial control systems interact on high alert.

IoT 59
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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. Traditional supply chain analytics and decision-making focused on risk avoidance and control. The future of the supply chain is IoT-driven. Setting them up is a byzantine, time-consuming process.

IoT 100
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Supply Chain Tips for Software Companies to Avoid Data Breaches

Smart Data Collective

Luckily, this approach is beginning to change, primarily thanks to industry behemoths like Sonatype , who do everything they can to make software development companies aware of the risks associated with software supply chains. And today, we’ll talk about the most significant of these risks. However, they also pose a considerable risk.

Software 106
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Examples and uses of GIS

IBM Big Data Hub

Integrating GIS, artificial intelligence (AI) , the Internet of Things (IoT) , cloud and mobile technologies into field service management (FSM) makes the most current information available to field service technicians.

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Delivering Low-latency Analytics Products for Business Success

Rocket-Powered Data Science

As the number of sensors in business and industry environments began to increase dramatically, including ubiquitous IoT (Internet of Things) and data sourcing through APIs, so have the number of analytics applications multiplied and become embedded within more business enterprise processes. These may not be high risk.

Analytics 166