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How AI and IoT Solutions Can Improve Your Business

Smart Data Collective

Moreover, with the help of an AI development company , businesses can avoid unforeseen downtime, increase operational productivity, develop new services and products, and boost risk control. Various firms are using machine-to-machine interaction to identify inbound attacks and send out automatic answers to cybercriminals.

IoT 133
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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

The rise of SaaS business intelligence tools is answering that need, providing a dynamic vessel for presenting and interacting with essential insights in a way that is digestible and accessible. In other words, UPS found that turning into oncoming traffic was causing a lot of delays, wasted fuel, and increased safety risk.

Big Data 275
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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
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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 107
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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. Detailed visualizations enable organizations to monitor risks, anticipate potential issues and look for solutions.

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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 93
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My top learning moments at Splunk.conf23

Rocket-Powered Data Science

From these data streams, real-time actionable insights can feed decision-making and risk mitigations at the moment of need. This is a physical device, in the IoT (Internet of Things) family of sensors, that collects and streams data from the edge (i.e., Splunk AI Assistant – Boom!