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#TechUpdate

Check out other Tech Updates on our YouTube Channel (subscribe today):    / @nextgeninfra   and check out our latest reports at: https://nextgeninfra.io/ Key drivers for edge AI adoption include the proliferation of IoT devices generating vast amounts of data, the necessity for real-time analytics in applications like autonomous vehicles and smart cities, and concerns over data privacy and security. Processing data locally at the edge addresses these challenges by minimizing latency, reducing bandwidth usage, and keeping sensitive information on-site. NTT DATA is advancing its edge AI strategy by developing ultralight platforms that integrate IT and OT systems, enabling real-time data processing and decision-making directly at the data source. This approach reduces latency, enhances energy efficiency, and facilitates the deployment of AI applications in industrial and manufacturing environments . Paul Bloudoff, Senior Director, Edge AI from NTT Data, share