Bringing Disruptive AI to Disruptive Edge Environments

For deskless workers or anyone operating in an environment with inconsistent infrastructure, how do we make the most of our data at the Edge to drive business outcomes quickly?

We need technology that brings both data and compute directly to where it’s needed. Industries like manufacturing, energy, agriculture, and countless others face limited connectivity and infrastructure at the edge, yet stand to gain the most from AI.  In this webinar, we’ll explore the core challenges holding Edge AI back, share how Ditto's Edge Sync can help overcome these infrastructure challenges to drive continuous outcomes in any environment, and highlight real-world examples from critical industries.

Key Takeaways

• Identify core barriers to AI at the edge, such as connectivity, and how they limit business outcomes
• Explore solutions that address these barriers and enable edge AI in disruptive environments
• Learn about real-world use cases in manufacturing, energy, and agriculture

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