Salvatore Salamone

Enterprise industrial connectivity offers a way to address manufacturing digital transformation data integration challenges by enabling seamless communication across disparate systems.

In this week’s real-time analytics news: Datorios released new observability features for the open-source Apache Flink stream processing system.

The shift towards hybrid-electric and fully electric vehicles brings new thermal management challenges. Automakers are turning to advanced design technologies, such as digital twins, simulations, and virtual prototyping, to address these challenges.

To integrate changes in battery technology into their electric vehicles, automakers need great design and development flexibility, such as that afforded by the use of digital twins, virtual commissioning, and more.

In this week’s real-time analytics news: NVIDIA contributes more technology and expertise to the Open Compute Project.

In this week’s real-time analytics news: The Apache Software Foundation (ASF) announced Apache Cassandra 5.0, which introduces new features and improvements that enhance its capabilities for modern, data-intensive applications.

Many of the top IoT use cases are delivering strong ROI for the organizations that are deploying them. As such, 51% of respondents to a recent industry survey said that their organizations plan to increase their spending in IoT use cases this year compared to 2023.

As IoT technology increases, the potential for IoT analytics in industrial operations will only grow, offering even more opportunities for innovation and optimization.

In this week’s real-time analytics news: Accenture and NVIDIA expand an existing partnership to help businesses scale AI adoption.

In this week’s real-time analytics news: AI agents and multiple collaborations to tackle the demands of AI.

Many modern applications must push processing and analysis closer to where data is generated, bypassing traditional centralized models that are often hampered by latency issues.

Today, decisions need to be made in milliseconds and need to be made as soon as an event has occurred. Increasingly, there is a need for real-time analytics of data at its source, as it is being generated.