Remove Data Processing Remove Internet of Things Remove IoT Remove Machine Learning
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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.

IoT 64
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IRM Is Essential for Digital Transformation Success

John Wheeler

We hosted more than 500 risk leaders across the globe in our exploration of the most critical risks. Last week, I had the distinct privilege to join my Gartner colleagues from our Risk Management Leadership Council in presenting the Q4 2018 Emerging Risk Report.

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Sustainability trends: 5 issues to watch in 2024

IBM Big Data Hub

Sustainable technology: New ways to do more With a boom in artificial intelligence (AI) , machine learning (ML) and a host of other advanced technologies, 2024 is poised to the be the year for tech-driven sustainability. The smart factories that make up Industry 4.0

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National Grid’s energy transformation is fueled by IT

CIO Business Intelligence

First is building and buying talent to power National Grid’s IT transformation, which includes digitizing the grid and connecting it to a wide range of internet of thing (IoT) sensors and devices and to the host of emerging renewable energy sources such as solar, wind turbines, hydro innovations, and even battery technology.

IT 104
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AI Technology is Invaluable for Cybersecurity

Smart Data Collective

Machine learning algorithms can adapt and improve over time, enabling them to recognize new, previously unseen attack patterns. Rapid growth in the use of recently developed technologies such as the Internet of Things (IoT), artificial intelligence (AI), and cloud computing has introduced new security threats and vulnerabilities.

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Big? ?Data:? ?The? ?Secret? ?to? ?Starbucks’? ? Supply? ?Chain? ?Success?

Sisense

To this end, the firm now collects and processes information from customers, stores, and even its coffee machines using advanced technologies ranging from cloud computing to the Internet of Things (IoT), AI, and blockchain. Delving deeper into the in-store experience. It’s not about robots replacing humans.

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Meet the newest Data Superheros: The Sixth Annual Data Impact Awards Finalists Are…

Cloudera

From AI models that power retail customer decision engines to utility meter analysis that disables underperforming gas turbines, these finalists demonstrate how machine learning and analytics have become mission-critical to organizations around the world. Enterprise Machine Learning. TECHNICAL IMPACT.