Embracing the Demands of an AI-Centric Future with Hazelcast Platform 5.4

Managing AI workloads is hard as they have an unprecedented demand for very high throughput and low latency, along with the vast quantities of disparate, event-driven data that’s required to satisfy most AI queries. And when AI is used in data sensitive environments, like finance, research, and healthcare, it is imperative that action is taken on data that has the highest levels of accuracy. To further compound the challenge, many businesses are mandated to reduce costs in every phase of development and deployment, while continuing to drive innovation. The perpetual struggle of driving innovation while saving costs is a paradox that many businesses struggle to solve.

But the right architecture will not only deliver real-time data to intelligent AI applications, it will also recycle existing infrastructure and drive the greatest value from core business data.

Join the webinar where we will be discussing:

• The day-to-day challenges businesses face when adopting AI workloads
• Modern architectures that solve current and future AI workload challenges
• Capabilities in Hazelcast Platform 5.4 that drive positive business outcomes for AI workloads

Presented By

Johnson Noel

Senior Manager, Technical Solutions

Hazelcast

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