Data architectures to accelerate your cloud-based AI Initiatives

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Presented by

Mike Bloom, AI Solution Architect at WEKA

About this talk

Discover the keys to scaling your AI initiatives in the cloud with unmatched efficiency and cost-effectiveness. Watch our OnDemand session with AI Accelerator Institute to explore Cloud first AI/ML workloads, how to profile the gaps in legacy architectures, and what modern training and inference require. 3 key takeaways from our session include: - Mastering your costs: Learn how the right storage choices can drastically reduce your AI and ML operational costs. - Tackling cloud challenges: Discover proven strategies to navigate common cloud pitfalls and sidestep unexpected expenses. - How to boost your performance: Understand how a cutting-edge data platform can ensure your AI tasks perform at their peak, handling even the most demanding requirements.
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We believe data-driven organisations shouldn’t have to choose between speed, simplicity, scale, sustainability, or seamless data portability. In the cloud and AI era, these should be foundational elements to every data environment – not points of compromise. That’s why we’re building an entirely new data management approach designed to support next-generation workloads flawlessly.