Real-time data is becoming more accessible, but there’s still work to be done

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Real-time data seems to be everywhere — in augmented reality, digital twins, 5G, IoT, AI, machine learning, wearables, and beacon technology. One can be forgiven for thinking that today’s enterprises are streaming real-time data across every vital task area. We’re getting there — thanks in large part to many open-source solutions such as Apache Flink, Kafka, Spark, and Storm, as well as cloud-based platforms. However, there is still a lot of work that needs to be done before we reach the point at which data moves through and between organizations at light speed or something close to it.




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Leah Sirama
Leah Siramahttps://ainewsera.com/
Leah Sirama, a lifelong enthusiast of Artificial Intelligence, has been exploring technology and the digital world since childhood. Known for his creative thinking, he's dedicated to improving AI experiences for everyone, earning respect in the field. His passion, curiosity, and creativity continue to drive progress in AI.