Conversational AI NLP and Chatbot with Apache Kafka
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Apache Kafka for Conversational AI, NLP and Chatbot

Natural Language Processing (NLP) helps many projects in the real world for service desk automation, customer conversation with a chatbot, content moderation in social networks, and many other use cases. Learn how event streaming with Apache Kafka is used in conjunction with Machine Learning platforms at the carmaker BMW, the online travel and booking portal Expedia, and the dating app Tinder for reliable real-time conversational AI, NLP, and chatbots.
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Apache Kafka for Condition Monitoring and Predictive Maintenance in Industrial IoT
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Condition Monitoring and Predictive Maintenance with Apache Kafka

The manufacturing industry is moving away from just selling machinery, devices, and other hardware. Software and services increase revenue and margins. Equipment-as-a-Service (EaaS) even outsources the maintenance to the vendor. This paradigm shift is only possible with reliable and scalable real-time data processing leveraging an event streaming platform such as Apache Kafka. This post explores how Kafka-native Condition Monitoring and Predictive Maintenance help with this innovation.
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Apache Kafka and Tiered Storage for Digital Forensics and Cyber Security
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Kafka for Cybersecurity (Part 4 of 6) – Digital Forensics

This blog series explores use cases and architectures for Apache Kafka in the cybersecurity space, including situational awareness, threat intelligence, forensics, air-gapped and zero trust environments, and SIEM / SOAR modernization. This post is part four: Digital Forensics.
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Supply Chain Optimization with Apache Kafka and SCM
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Apache Kafka for Supply Chain Management (SCM) Optimization

Supply Chain optimization leveraging Event Streaming with Apache Kafka. See real-world use cases and architectures from Walmart, BMW, Porsche, and other enterprises to improve the Supply Chain Management (SCM) processes. Automation, robustness, flexibility, real-time, decoupling, data integration, and hybrid deployments…
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