Great report from cxnetwork!
Customer-facing organizations see massive inflows of complex multimodal data every day. Many applications like metaverse or digital entertainment systems generate vast amounts of data with the spatial, temporal, gesture, and NLP components. This creates a challenge, especially for real-time processing and analytics. I have been re-focusing on applying advanced algorithms to data engineering for omnichannel data. Many applications are critical for autonomous systems that must deal with subtle effects captured by sensors, e.g., recognizing tiredness or distractions data captured by cameras directed at drivers.
https://www.cxnetwork.com/omnichannel/reports/artificial-intelligence-for-an-omnichannel-world
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