Why Distributed Edge Data is the Future of AI - Seguridad Mania.com - España y América Latina

AI is disrupting so many domains and industries and by doing so, AI models and algorithms are becoming increasingly large and complex. This complexity is driven by the proliferation in size and diversity of localized data everywhere, which creates the need for a unified data fabric. It could be argued that whoever wins the data race will win the AI race, which is inherently built on two premises: 1) data is available in a central location for AI to have full access on it, 2) Compute is centralized and abundant. Edge AI though, defies these assumptions. If centralized (or in the cloud) AI is a superpower and super expert, edge AI is a community of many smart wizards. As humans, we can appreciate the power of cumulative knowledge over a central superpower. In this webinar, we will touch on: • The value and use cases of edge AI • How data fabric on the edge differs from the cloud and its impact on AI • Trade-offs with edge devices for data privacy • Bringing compute to the edge and distributing the agency • How interoperability between cloud and edge AI can happen • How different enterprises can benefit from these big shifts happening in the industry