Companies need a data-processing solution that increases the speed of business agility, not one that is complicated by too many technology requirements. This requires a system that delivers continuous/real-time data-processing capabilities for the new business reality.
Stream processing is a hot topic right now, especially for any organization looking to provide insights faster. But what does it mean for users of Java applications, microservices, and in-memory computing?
In this webinar, we will cover the evolution of stream processing and in-memory related to big data technologies and why it is the logical next step for in-memory processing projects.
Setting up servers and configuring software can get in the way of the problems you are trying to solve. With Hazelcast Cloud we take all of those pain points away.
Watch this webinar to learn how you can instantly fire up and then work with Hazelcast Cloud from anywhere in the world. With our auto-generated client stubs for Java, Go, Node.js, Python and .NET, we can have you connected and coding in less than a minute!
Hazelcast is looking to make it easier for organizations to benefit from machine learning alongside event streaming data, with the recent release of the Hazelcast Jet 4.0 update.
In-memory computing platform maker Hazelcast on Wednesday announced new support in its Hazelcast Jet event stream processing engine for artificial intelligence (AI) and machine learning (ML) deployments of mission-critical applications.
The latest release of the event stream processing engine, Hazelcast Jet, now helps enterprises unlock profit potential faster by accelerating and simplifying ML and artificial intelligence (AI) deployments.
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There are many examples in modern business where low latency is critical, but perhaps none of them more so than in banking and financial services.
Increasingly, data volumes and complexity aren’t just archival anymore – they are directly connected to daily operations. Hazelcast’s Dale Kim shares how focusing on latency will improve the impact of analytics, deliver better customer experiences and more.
Open source is the dominant model of software consumption in the modern era.
As we enter 2020, companies will have to address new and persistent digital challenges that affect system and business performance.
Autonomous vehicles, deepfakes, small data, voice and natural language processing, human and augmented intelligence, bias and explainability, edge and IoT processing, and many promising applications of artificial intelligence and machine learning technologies and tools.
To address latency challenges organizations are adopting streaming processing engines, in-memory computing database, and soon 5G wireless services.
To stay competitive, it's more important than ever to make decisions more quickly with the most data available. Kelly Herrell, CEO of Hazelcast, reveals the must-have technologies to make better decisions faster.
Edge computing is big business and likely to get better.
Hazelcast released its “Infinity Data” report that reveals the link between latency, innovation and business performance.
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