  In this white paper we provide a vision for 6G Edge Intelligence. Moving
towards 5G and beyond the future 6G networks, intelligent solutions utilizing
data-driven machine learning and artificial intelligence become crucial for
several real-world applications including but not limited to, more efficient
manufacturing, novel personal smart device environments and experiences, urban
computing and autonomous traffic settings. We present edge computing along with
other 6G enablers as a key component to establish the future 2030 intelligent
Internet technologies as shown in this series of 6G White Papers.
  In this white paper, we focus in the domains of edge computing infrastructure
and platforms, data and edge network management, software development for edge,
and real-time and distributed training of ML/AI algorithms, along with
security, privacy, pricing, and end-user aspects. We discuss the key enablers
and challenges and identify the key research questions for the development of
the Intelligent Edge services. As a main outcome of this white paper, we
envision a transition from Internet of Things to Intelligent Internet of
Intelligent Things and provide a roadmap for development of 6G Intelligent
Edge.
