The Hidden Costs of AI: Optimizing Your ML Data Stack for Production Scale

Wednesday, October 16, 2024 @ 2pm Eastern

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About the Webinar

Elevate your geospatial analysis capabilities in this expert panel, tailored to data executives.  Join us for an insightful exploration into the synergy between Generative AI and advanced geolocation data interpretation, unlocking new dimensions in spatial insights.

You'll learn

Learn techniques to extract richer insights from your geospatial datasets

Explore the power of Generative AI in recognizing complex spatial patterns, enabling a deeper understanding of geographical phenomena and witness how this advanced technology transforms raw geolocation data into actionable intelligence

Discover practical applications of Generative AI in geospatial analysis, optimizing decision-making processes across various industries

Panelists

To be announced soon! 

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The Hidden Costs of AI: Optimizing Your ML Data Stack for Production Scale

Wednesday, February 19, 2025 @ 2pm Eastern

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The Hidden Costs of AI » Data Science Connect

About the Webinar

The promise of AI at scale is undeniable, but hidden costs often undermine efficiency and ROI. From fragmented data pipelines to resource-intensive infrastructure, these unseen challenges can escalate expenses and delay production goals.

Join this executive-level webinar to uncover the true cost of scaling AI and Machine Learning. Our panel of experts will share actionable strategies to optimize your ML data stack, ensuring streamlined workflows, efficient resource allocation, and long-term scalability. Discover how to align infrastructure and processes to maximize performance while controlling costs.

You'll learn

Exposing Hidden Inefficiencies: Identify overlooked challenges in ML pipelines, data workflows, and production environments.

Optimizing AI Infrastructure: Best practices for designing scalable, cost-effective data stacks that meet production demands.

Driving Business Value: Real-world examples of AI architectures that balance performance, cost, and ROI at scale.

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