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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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IoT Adoption in Healthcare Brings Security Opportunities

CIO Business Intelligence

At the end of the day, it’s all about patient outcomes and how to improve the delivery of care, so this kind of IoT adoption in healthcare brings opportunities that can be life-changing, as well as simply being operationally sound. Why Medical IoT Devices Are at Risk There are a number of reasons why medical IoT devices are at risk.

IoT 69
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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 100
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Innovative data integration in 2024: Pioneering the future of data integration

CIO Business Intelligence

Of late, innovative data integration tools are revolutionising how organisations approach data management, unlocking new opportunities for growth, efficiency, and strategic decision-making by leveraging technical advancements in Artificial Intelligence, Machine Learning, and Natural Language Processing.

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Glossary of Digital Terminology for Career Relevance

Rocket-Powered Data Science

AGI (Artificial General Intelligence): AI (Artificial Intelligence): Application of Machine Learning algorithms to robotics and machines (including bots), focused on taking actions based on sensory inputs (data). Examples: (1-3) All those applications shown in the definition of Machine Learning. (4) Industry 4.0

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IoT: Make Mine a Standard

Cloudera

Standards and architectures are the guidelines that ensure the ability for open source software to integrate, exchange and interact. Defining these is, therefore, a crucial element, and Cloudera is now taking part in just that for the biggest revolution we’ve seen in business and society: the Internet of Things (IoT).

IoT 43
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Don’t Rely on Dashboards for Real-Time Analytics

David Menninger's Analyst Perspectives

For example, best-in-class e-commerce interactions should provide real-time updates on inventory status to avoid stock-out or back-order situations. Customer service interactions should provide real-time recommendations that minimize the time to resolution.